The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.

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/opt/conda/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/opt/conda/lib/python3.10/site-packages/torchvision/image.so: undefined symbol: _ZN3c1017RegisterOperatorsD1Ev'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
  warn(
2024-10-28 03:01:25.380111: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-10-28 03:01:25.380212: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-10-28 03:01:25.493275: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:24: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1525: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
  warnings.warn(
last_checkpoint=None

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  warnings.warn(

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training_args.use_lang_prefix=True

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[WARNING|trainer.py:2764] 2024-10-28 03:04:19,967 >> There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].
/opt/conda/lib/python3.10/site-packages/transformers/optimization.py:591: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(
All 61904 steps, warm_up steps: 200
/opt/conda/lib/python3.10/site-packages/transformers/trainer.py:3108: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  torch.load(os.path.join(checkpoint, OPTIMIZER_NAME), map_location=map_location)
wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
wandb: Currently logged in as: abdiharyadi. Use `wandb login --relogin` to force relogin
wandb: wandb version 0.18.5 is available!  To upgrade, please run:
wandb:  $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.17.5
wandb: Run data is saved locally in /kaggle/tmp/amr-tst-indo/AMRBART-id/fine-tune/wandb/run-20241028_030425-uweeff6i
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run /kaggle/tmp/amr-tst-indo/AMRBART-id/fine-tune/../outputs/mbart-en-id-smaller-fted
wandb: ⭐️ View project at https://wandb.ai/abdiharyadi/amr-tst
wandb: 🚀 View run at https://wandb.ai/abdiharyadi/amr-tst/runs/uweeff6i

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  self.pid = os.fork()
/opt/conda/lib/python3.10/site-packages/transformers/trainer.py:2843: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  checkpoint_rng_state = torch.load(rng_file)

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{'loss': 2.6522, 'learning_rate': 1.6894852845844678e-07, 'epoch': 5.0}

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{'loss': 2.6008, 'learning_rate': 1.6891611564890445e-07, 'epoch': 5.01}

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{'loss': 2.6294, 'learning_rate': 1.688837028393621e-07, 'epoch': 5.01}

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{'loss': 2.6519, 'learning_rate': 1.6885129002981977e-07, 'epoch': 5.02}

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{'loss': 2.6537, 'learning_rate': 1.6881887722027743e-07, 'epoch': 5.02}

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{'loss': 2.6256, 'learning_rate': 1.6878646441073512e-07, 'epoch': 5.03}

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{'loss': 2.6721, 'learning_rate': 1.6875405160119278e-07, 'epoch': 5.03}

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{'loss': 2.6894, 'learning_rate': 1.6872163879165044e-07, 'epoch': 5.04}

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{'loss': 2.6702, 'learning_rate': 1.6868922598210813e-07, 'epoch': 5.05}

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{'loss': 2.7041, 'learning_rate': 1.686568131725658e-07, 'epoch': 5.05}

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{'loss': 2.7243, 'learning_rate': 1.6862440036302346e-07, 'epoch': 5.06}

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{'loss': 2.7082, 'learning_rate': 1.6859198755348114e-07, 'epoch': 5.06}

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{'loss': 2.6755, 'learning_rate': 1.685595747439388e-07, 'epoch': 5.07}

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{'loss': 2.6075, 'learning_rate': 1.6852716193439647e-07, 'epoch': 5.07}

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{'loss': 2.6402, 'learning_rate': 1.6849474912485413e-07, 'epoch': 5.08}

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{'loss': 2.6928, 'learning_rate': 1.684623363153118e-07, 'epoch': 5.08}

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{'loss': 2.6689, 'learning_rate': 1.6842992350576948e-07, 'epoch': 5.09}

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{'loss': 2.6848, 'learning_rate': 1.6839751069622714e-07, 'epoch': 5.09}

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{'loss': 2.6315, 'learning_rate': 1.683650978866848e-07, 'epoch': 5.1}

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{'loss': 2.6936, 'learning_rate': 1.683326850771425e-07, 'epoch': 5.1}

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{'loss': 2.6354, 'learning_rate': 1.6830027226760015e-07, 'epoch': 5.11}

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{'loss': 2.6376, 'learning_rate': 1.6826785945805782e-07, 'epoch': 5.11}

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{'loss': 2.7595, 'learning_rate': 1.6823544664851548e-07, 'epoch': 5.12}

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{'loss': 2.5688, 'learning_rate': 1.6820303383897317e-07, 'epoch': 5.12}

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{'loss': 2.6504, 'learning_rate': 1.6817062102943083e-07, 'epoch': 5.13}

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{'loss': 2.701, 'learning_rate': 1.681382082198885e-07, 'epoch': 5.13}

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{'loss': 2.6691, 'learning_rate': 1.6810579541034615e-07, 'epoch': 5.14}

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{'loss': 2.6396, 'learning_rate': 1.6807338260080384e-07, 'epoch': 5.14}

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{'loss': 2.6752, 'learning_rate': 1.680409697912615e-07, 'epoch': 5.15}

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{'loss': 2.567, 'learning_rate': 1.6800855698171916e-07, 'epoch': 5.15}

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{'loss': 2.6691, 'learning_rate': 1.6797614417217685e-07, 'epoch': 5.16}

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{'loss': 2.6172, 'learning_rate': 1.6794373136263451e-07, 'epoch': 5.16}

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{'loss': 2.6856, 'learning_rate': 1.6791131855309218e-07, 'epoch': 5.17}

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{'loss': 2.6874, 'learning_rate': 1.6787890574354984e-07, 'epoch': 5.17}

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{'loss': 2.6737, 'learning_rate': 1.678464929340075e-07, 'epoch': 5.18}

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{'loss': 2.6503, 'learning_rate': 1.678140801244652e-07, 'epoch': 5.18}

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{'loss': 2.6155, 'learning_rate': 1.6778166731492285e-07, 'epoch': 5.19}

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{'loss': 2.7035, 'learning_rate': 1.677492545053805e-07, 'epoch': 5.2}

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{'loss': 2.6192, 'learning_rate': 1.677168416958382e-07, 'epoch': 5.2}

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{'loss': 2.5974, 'learning_rate': 1.6768442888629586e-07, 'epoch': 5.21}

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{'loss': 2.694, 'learning_rate': 1.6765201607675352e-07, 'epoch': 5.21}

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{'loss': 2.6391, 'learning_rate': 1.676196032672112e-07, 'epoch': 5.22}

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{'loss': 2.6428, 'learning_rate': 1.6758719045766887e-07, 'epoch': 5.22}

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{'loss': 2.6796, 'learning_rate': 1.6755477764812654e-07, 'epoch': 5.23}

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{'loss': 2.6819, 'learning_rate': 1.675223648385842e-07, 'epoch': 5.23}

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{'loss': 2.6714, 'learning_rate': 1.6748995202904186e-07, 'epoch': 5.24}

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{'loss': 2.6392, 'learning_rate': 1.6745753921949955e-07, 'epoch': 5.24}

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{'loss': 2.7057, 'learning_rate': 1.674251264099572e-07, 'epoch': 5.25}

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{'loss': 2.6676, 'learning_rate': 1.6739271360041487e-07, 'epoch': 5.25}

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{'loss': 2.7037, 'learning_rate': 1.6736030079087256e-07, 'epoch': 5.26}

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{'loss': 2.7595, 'learning_rate': 1.6732788798133022e-07, 'epoch': 5.26}

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{'loss': 2.6665, 'learning_rate': 1.6729547517178788e-07, 'epoch': 5.27}

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{'loss': 2.6281, 'learning_rate': 1.6726306236224554e-07, 'epoch': 5.27}

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{'loss': 2.6047, 'learning_rate': 1.6723064955270323e-07, 'epoch': 5.28}

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{'loss': 2.6466, 'learning_rate': 1.671982367431609e-07, 'epoch': 5.28}

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{'loss': 2.6026, 'learning_rate': 1.6716582393361856e-07, 'epoch': 5.29}

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{'loss': 2.6714, 'learning_rate': 1.6713341112407622e-07, 'epoch': 5.29}

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{'loss': 2.6351, 'learning_rate': 1.671009983145339e-07, 'epoch': 5.3}

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{'loss': 2.6293, 'learning_rate': 1.6706858550499157e-07, 'epoch': 5.3}

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{'loss': 2.6368, 'learning_rate': 1.6703617269544923e-07, 'epoch': 5.31}

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{'loss': 2.6963, 'learning_rate': 1.6700375988590692e-07, 'epoch': 5.31}

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{'loss': 2.6401, 'learning_rate': 1.6697134707636458e-07, 'epoch': 5.32}

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{'loss': 2.669, 'learning_rate': 1.6693893426682224e-07, 'epoch': 5.32}

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{'loss': 2.6384, 'learning_rate': 1.669065214572799e-07, 'epoch': 5.33}

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{'loss': 2.7073, 'learning_rate': 1.6687410864773757e-07, 'epoch': 5.33}

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{'loss': 2.6507, 'learning_rate': 1.6684169583819526e-07, 'epoch': 5.34}

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{'loss': 2.6378, 'learning_rate': 1.6680928302865292e-07, 'epoch': 5.35}

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{'loss': 2.6756, 'learning_rate': 1.6677687021911058e-07, 'epoch': 5.35}

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{'loss': 2.6667, 'learning_rate': 1.6674445740956827e-07, 'epoch': 5.36}

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{'loss': 2.6714, 'learning_rate': 1.6671204460002593e-07, 'epoch': 5.36}

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{'loss': 2.6117, 'learning_rate': 1.666796317904836e-07, 'epoch': 5.37}

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{'loss': 2.6513, 'learning_rate': 1.6664721898094128e-07, 'epoch': 5.37}

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{'loss': 2.6997, 'learning_rate': 1.6661480617139894e-07, 'epoch': 5.38}

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{'loss': 2.6395, 'learning_rate': 1.665823933618566e-07, 'epoch': 5.38}

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{'loss': 2.6615, 'learning_rate': 1.6654998055231426e-07, 'epoch': 5.39}

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{'loss': 2.6915, 'learning_rate': 1.6651756774277193e-07, 'epoch': 5.39}

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{'loss': 2.6248, 'learning_rate': 1.6648515493322961e-07, 'epoch': 5.4}

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{'loss': 2.7061, 'learning_rate': 1.6645274212368728e-07, 'epoch': 5.4}

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{'loss': 2.642, 'learning_rate': 1.6642032931414494e-07, 'epoch': 5.41}

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{'loss': 2.6377, 'learning_rate': 1.6638791650460263e-07, 'epoch': 5.41}

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{'loss': 2.6452, 'learning_rate': 1.663555036950603e-07, 'epoch': 5.42}

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{'loss': 2.7206, 'learning_rate': 1.6632309088551795e-07, 'epoch': 5.42}

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{'loss': 2.6524, 'learning_rate': 1.662906780759756e-07, 'epoch': 5.43}

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{'loss': 2.6398, 'learning_rate': 1.662582652664333e-07, 'epoch': 5.43}

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{'loss': 2.6486, 'learning_rate': 1.6622585245689096e-07, 'epoch': 5.44}

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{'loss': 2.6466, 'learning_rate': 1.6619343964734862e-07, 'epoch': 5.44}

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{'loss': 2.6818, 'learning_rate': 1.6616102683780629e-07, 'epoch': 5.45}

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{'loss': 2.6826, 'learning_rate': 1.6612861402826397e-07, 'epoch': 5.45}

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{'loss': 2.665, 'learning_rate': 1.6609620121872164e-07, 'epoch': 5.46}

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{'loss': 2.6018, 'learning_rate': 1.660637884091793e-07, 'epoch': 5.46}

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{'loss': 2.6867, 'learning_rate': 1.66031375599637e-07, 'epoch': 5.47}

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{'loss': 2.6972, 'learning_rate': 1.6599896279009465e-07, 'epoch': 5.47}

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{'loss': 2.6775, 'learning_rate': 1.659665499805523e-07, 'epoch': 5.48}

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{'loss': 2.7239, 'learning_rate': 1.6593413717100997e-07, 'epoch': 5.48}

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{'loss': 2.6349, 'learning_rate': 1.6590172436146763e-07, 'epoch': 5.49}

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{'loss': 2.6607, 'learning_rate': 1.6586931155192532e-07, 'epoch': 5.49}

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{'loss': 2.6806, 'learning_rate': 1.6583689874238298e-07, 'epoch': 5.5}

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{'loss': 2.7212, 'learning_rate': 1.6580448593284065e-07, 'epoch': 5.51}

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{'loss': 2.6997, 'learning_rate': 1.6577207312329833e-07, 'epoch': 5.51}

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{'loss': 2.6277, 'learning_rate': 1.65739660313756e-07, 'epoch': 5.52}

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{'loss': 2.6953, 'learning_rate': 1.6570724750421366e-07, 'epoch': 5.52}

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{'loss': 2.7586, 'learning_rate': 1.6567483469467135e-07, 'epoch': 5.53}

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{'loss': 2.5887, 'learning_rate': 1.65642421885129e-07, 'epoch': 5.53}

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{'loss': 2.6364, 'learning_rate': 1.6561000907558667e-07, 'epoch': 5.54}

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{'loss': 2.5951, 'learning_rate': 1.6557759626604433e-07, 'epoch': 5.54}

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{'loss': 2.6595, 'learning_rate': 1.65545183456502e-07, 'epoch': 5.55}

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{'loss': 2.602, 'learning_rate': 1.6551277064695968e-07, 'epoch': 5.55}

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{'loss': 2.5996, 'learning_rate': 1.6548035783741734e-07, 'epoch': 5.56}

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{'loss': 2.6529, 'learning_rate': 1.65447945027875e-07, 'epoch': 5.56}

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{'loss': 2.6917, 'learning_rate': 1.654155322183327e-07, 'epoch': 5.57}

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{'loss': 2.6509, 'learning_rate': 1.6538311940879036e-07, 'epoch': 5.57}

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{'loss': 2.6524, 'learning_rate': 1.6535070659924802e-07, 'epoch': 5.58}

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{'loss': 2.6894, 'learning_rate': 1.6531829378970568e-07, 'epoch': 5.58}

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{'loss': 2.6451, 'learning_rate': 1.6528588098016334e-07, 'epoch': 5.59}

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{'loss': 2.6636, 'learning_rate': 1.6525346817062103e-07, 'epoch': 5.59}

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{'loss': 2.6696, 'learning_rate': 1.652210553610787e-07, 'epoch': 5.6}

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{'loss': 2.6577, 'learning_rate': 1.6518864255153635e-07, 'epoch': 5.6}

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{'loss': 2.5968, 'learning_rate': 1.6515622974199404e-07, 'epoch': 5.61}

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{'loss': 2.6492, 'learning_rate': 1.651238169324517e-07, 'epoch': 5.61}

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{'loss': 2.6357, 'learning_rate': 1.6509140412290937e-07, 'epoch': 5.62}

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{'loss': 2.6401, 'learning_rate': 1.6505899131336705e-07, 'epoch': 5.62}

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{'loss': 2.5984, 'learning_rate': 1.650265785038247e-07, 'epoch': 5.63}

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{'loss': 2.6678, 'learning_rate': 1.6499416569428238e-07, 'epoch': 5.63}

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{'loss': 2.6161, 'learning_rate': 1.6496175288474004e-07, 'epoch': 5.64}

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{'loss': 2.6262, 'learning_rate': 1.649293400751977e-07, 'epoch': 5.64}

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{'loss': 2.6514, 'learning_rate': 1.648969272656554e-07, 'epoch': 5.65}

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{'loss': 2.6629, 'learning_rate': 1.6486451445611305e-07, 'epoch': 5.66}

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{'loss': 2.6764, 'learning_rate': 1.6483210164657071e-07, 'epoch': 5.66}

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{'loss': 2.6414, 'learning_rate': 1.647996888370284e-07, 'epoch': 5.67}

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{'loss': 2.5379, 'learning_rate': 1.6476727602748604e-07, 'epoch': 5.67}

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{'loss': 2.6744, 'learning_rate': 1.6473486321794373e-07, 'epoch': 5.68}

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{'loss': 2.7254, 'learning_rate': 1.647024504084014e-07, 'epoch': 5.68}

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{'loss': 2.6408, 'learning_rate': 1.6467003759885905e-07, 'epoch': 5.69}

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{'loss': 2.6751, 'learning_rate': 1.6463762478931674e-07, 'epoch': 5.69}

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{'loss': 2.6391, 'learning_rate': 1.646052119797744e-07, 'epoch': 5.7}

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{'loss': 2.625, 'learning_rate': 1.6457279917023206e-07, 'epoch': 5.7}

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{'loss': 2.607, 'learning_rate': 1.6454038636068975e-07, 'epoch': 5.71}

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{'loss': 2.6629, 'learning_rate': 1.6450797355114739e-07, 'epoch': 5.71}

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{'loss': 2.6358, 'learning_rate': 1.6447556074160507e-07, 'epoch': 5.72}

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{'loss': 2.6962, 'learning_rate': 1.6444314793206274e-07, 'epoch': 5.72}

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{'loss': 2.6403, 'learning_rate': 1.644107351225204e-07, 'epoch': 5.73}

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{'loss': 2.641, 'learning_rate': 1.6437832231297809e-07, 'epoch': 5.73}

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{'loss': 2.6213, 'learning_rate': 1.6434590950343575e-07, 'epoch': 5.74}

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{'loss': 2.6508, 'learning_rate': 1.643134966938934e-07, 'epoch': 5.74}

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{'loss': 2.6528, 'learning_rate': 1.642810838843511e-07, 'epoch': 5.75}

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{'loss': 2.5921, 'learning_rate': 1.6424867107480873e-07, 'epoch': 5.75}

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{'loss': 2.6379, 'learning_rate': 1.6421625826526642e-07, 'epoch': 5.76}

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{'loss': 2.6838, 'learning_rate': 1.641838454557241e-07, 'epoch': 5.76}

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{'loss': 2.6511, 'learning_rate': 1.6415143264618175e-07, 'epoch': 5.77}

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{'loss': 2.6547, 'learning_rate': 1.6411901983663943e-07, 'epoch': 5.77}

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{'loss': 2.5962, 'learning_rate': 1.640866070270971e-07, 'epoch': 5.78}

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{'loss': 2.6074, 'learning_rate': 1.6405419421755476e-07, 'epoch': 5.78}

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{'loss': 2.5927, 'learning_rate': 1.6402178140801245e-07, 'epoch': 5.79}

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{'loss': 2.6697, 'learning_rate': 1.6398936859847008e-07, 'epoch': 5.79}

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{'loss': 2.6267, 'learning_rate': 1.6395695578892777e-07, 'epoch': 5.8}

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{'loss': 2.6833, 'learning_rate': 1.6392454297938546e-07, 'epoch': 5.81}

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{'loss': 2.6647, 'learning_rate': 1.638921301698431e-07, 'epoch': 5.81}

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{'loss': 2.6619, 'learning_rate': 1.6385971736030078e-07, 'epoch': 5.82}

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{'loss': 2.6341, 'learning_rate': 1.6382730455075847e-07, 'epoch': 5.82}

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{'loss': 2.604, 'learning_rate': 1.637948917412161e-07, 'epoch': 5.83}

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{'loss': 2.6344, 'learning_rate': 1.637624789316738e-07, 'epoch': 5.83}

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{'loss': 2.6453, 'learning_rate': 1.6373006612213146e-07, 'epoch': 5.84}

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{'loss': 2.6433, 'learning_rate': 1.6369765331258912e-07, 'epoch': 5.84}

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{'loss': 2.5673, 'learning_rate': 1.636652405030468e-07, 'epoch': 5.85}

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{'loss': 2.6455, 'learning_rate': 1.6363282769350444e-07, 'epoch': 5.85}

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{'loss': 2.6617, 'learning_rate': 1.6360041488396213e-07, 'epoch': 5.86}

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{'loss': 2.6395, 'learning_rate': 1.6356800207441982e-07, 'epoch': 5.86}

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{'loss': 2.6358, 'learning_rate': 1.6353558926487745e-07, 'epoch': 5.87}

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{'loss': 2.618, 'learning_rate': 1.6350317645533514e-07, 'epoch': 5.87}

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{'loss': 2.6219, 'learning_rate': 1.634707636457928e-07, 'epoch': 5.88}

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{'loss': 2.6028, 'learning_rate': 1.6343835083625047e-07, 'epoch': 5.88}

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{'loss': 2.599, 'learning_rate': 1.6340593802670815e-07, 'epoch': 5.89}

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{'loss': 2.6062, 'learning_rate': 1.633735252171658e-07, 'epoch': 5.89}

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{'loss': 2.5854, 'learning_rate': 1.6334111240762348e-07, 'epoch': 5.9}

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{'loss': 2.5416, 'learning_rate': 1.6330869959808117e-07, 'epoch': 5.9}

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{'loss': 2.6731, 'learning_rate': 1.632762867885388e-07, 'epoch': 5.91}

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{'loss': 2.6271, 'learning_rate': 1.632438739789965e-07, 'epoch': 5.91}

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{'loss': 2.5896, 'learning_rate': 1.6321146116945418e-07, 'epoch': 5.92}

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{'loss': 2.6794, 'learning_rate': 1.6317904835991181e-07, 'epoch': 5.92}

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{'loss': 2.6051, 'learning_rate': 1.631466355503695e-07, 'epoch': 5.93}

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{'loss': 2.6901, 'learning_rate': 1.6311422274082716e-07, 'epoch': 5.93}

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{'loss': 2.6288, 'learning_rate': 1.6308180993128483e-07, 'epoch': 5.94}

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{'loss': 2.6806, 'learning_rate': 1.6304939712174251e-07, 'epoch': 5.94}

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{'loss': 2.6003, 'learning_rate': 1.6301698431220015e-07, 'epoch': 5.95}

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{'loss': 2.6595, 'learning_rate': 1.6298457150265784e-07, 'epoch': 5.95}

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{'loss': 2.6563, 'learning_rate': 1.6295215869311553e-07, 'epoch': 5.96}

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{'loss': 2.6499, 'learning_rate': 1.6291974588357316e-07, 'epoch': 5.97}

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{'loss': 2.6836, 'learning_rate': 1.6288733307403085e-07, 'epoch': 5.97}

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{'loss': 2.6193, 'learning_rate': 1.6285492026448854e-07, 'epoch': 5.98}

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{'loss': 2.6293, 'learning_rate': 1.6282250745494617e-07, 'epoch': 5.98}

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{'loss': 2.7275, 'learning_rate': 1.6279009464540386e-07, 'epoch': 5.99}

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{'loss': 2.6021, 'learning_rate': 1.6275768183586152e-07, 'epoch': 5.99}

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{'loss': 2.6331, 'learning_rate': 1.6272526902631919e-07, 'epoch': 6.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [20:45<00:00,  1.51s/it]{'score': 1.6990924408151828, 'counts': [13158, 4103, 1802, 804], 'totals': [177622, 175900, 174178, 172456], 'precisions': [7.407866142707547, 2.3325753268902787, 1.0345738267749085, 0.466205872802338], 'bp': 1.0, 'sys_len': 177622, 'ref_len': 32555}

                                                          

                                                 
{'eval_loss': 2.596095085144043, 'eval_bleu': 1.6991, 'eval_gen_len': 66.9245, 'eval_runtime': 1347.5897, 'eval_samples_per_second': 1.278, 'eval_steps_per_second': 0.639, 'epoch': 6.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 04:56:43,093 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.6423, 'learning_rate': 1.6269285621677687e-07, 'epoch': 6.0}

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{'loss': 2.667, 'learning_rate': 1.626604434072345e-07, 'epoch': 6.01}

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{'loss': 2.6741, 'learning_rate': 1.626280305976922e-07, 'epoch': 6.01}

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{'loss': 2.6269, 'learning_rate': 1.6259561778814989e-07, 'epoch': 6.02}

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{'loss': 2.6817, 'learning_rate': 1.6256320497860752e-07, 'epoch': 6.02}

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{'loss': 2.6804, 'learning_rate': 1.625307921690652e-07, 'epoch': 6.03}

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{'loss': 2.6283, 'learning_rate': 1.6249837935952287e-07, 'epoch': 6.03}

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{'loss': 2.6344, 'learning_rate': 1.6246596654998053e-07, 'epoch': 6.04}

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{'loss': 2.6453, 'learning_rate': 1.6243355374043822e-07, 'epoch': 6.04}

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{'loss': 2.5926, 'learning_rate': 1.6240114093089586e-07, 'epoch': 6.05}

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{'loss': 2.6709, 'learning_rate': 1.6236872812135355e-07, 'epoch': 6.05}

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{'loss': 2.6228, 'learning_rate': 1.6233631531181123e-07, 'epoch': 6.06}

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{'loss': 2.6006, 'learning_rate': 1.6230390250226887e-07, 'epoch': 6.06}

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{'loss': 2.6179, 'learning_rate': 1.6227148969272656e-07, 'epoch': 6.07}

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{'loss': 2.63, 'learning_rate': 1.6223907688318425e-07, 'epoch': 6.07}

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{'loss': 2.653, 'learning_rate': 1.6220666407364188e-07, 'epoch': 6.08}

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{'loss': 2.6129, 'learning_rate': 1.6217425126409957e-07, 'epoch': 6.08}

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{'loss': 2.6008, 'learning_rate': 1.6214183845455723e-07, 'epoch': 6.09}

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{'loss': 2.6594, 'learning_rate': 1.621094256450149e-07, 'epoch': 6.09}

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{'loss': 2.617, 'learning_rate': 1.6207701283547258e-07, 'epoch': 6.1}

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{'loss': 2.6392, 'learning_rate': 1.6204460002593022e-07, 'epoch': 6.1}

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{'loss': 2.6315, 'learning_rate': 1.620121872163879e-07, 'epoch': 6.11}

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{'loss': 2.6131, 'learning_rate': 1.619797744068456e-07, 'epoch': 6.12}

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{'loss': 2.6512, 'learning_rate': 1.6194736159730323e-07, 'epoch': 6.12}

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{'loss': 2.6196, 'learning_rate': 1.6191494878776092e-07, 'epoch': 6.13}

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{'loss': 2.6234, 'learning_rate': 1.618825359782186e-07, 'epoch': 6.13}

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{'loss': 2.5817, 'learning_rate': 1.6185012316867624e-07, 'epoch': 6.14}

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{'loss': 2.5873, 'learning_rate': 1.6181771035913393e-07, 'epoch': 6.14}

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{'loss': 2.5957, 'learning_rate': 1.617852975495916e-07, 'epoch': 6.15}

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{'loss': 2.613, 'learning_rate': 1.6175288474004925e-07, 'epoch': 6.15}

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{'loss': 2.5577, 'learning_rate': 1.6172047193050694e-07, 'epoch': 6.16}

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{'loss': 2.6101, 'learning_rate': 1.6168805912096458e-07, 'epoch': 6.16}

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{'loss': 2.5553, 'learning_rate': 1.6165564631142227e-07, 'epoch': 6.17}

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{'loss': 2.6326, 'learning_rate': 1.6162323350187995e-07, 'epoch': 6.17}

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{'loss': 2.5922, 'learning_rate': 1.615908206923376e-07, 'epoch': 6.18}

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{'loss': 2.5913, 'learning_rate': 1.6155840788279528e-07, 'epoch': 6.18}

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{'loss': 2.6378, 'learning_rate': 1.6152599507325294e-07, 'epoch': 6.19}

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{'loss': 2.5969, 'learning_rate': 1.614935822637106e-07, 'epoch': 6.19}

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{'loss': 2.5971, 'learning_rate': 1.614611694541683e-07, 'epoch': 6.2}

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{'loss': 2.616, 'learning_rate': 1.6142875664462593e-07, 'epoch': 6.2}

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{'loss': 2.6352, 'learning_rate': 1.6139634383508361e-07, 'epoch': 6.21}

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{'loss': 2.6371, 'learning_rate': 1.613639310255413e-07, 'epoch': 6.21}

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{'loss': 2.5946, 'learning_rate': 1.6133151821599894e-07, 'epoch': 6.22}

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{'loss': 2.6379, 'learning_rate': 1.6129910540645663e-07, 'epoch': 6.22}

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{'loss': 2.6046, 'learning_rate': 1.6126669259691431e-07, 'epoch': 6.23}

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{'loss': 2.653, 'learning_rate': 1.6123427978737195e-07, 'epoch': 6.23}

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{'loss': 2.6409, 'learning_rate': 1.6120186697782964e-07, 'epoch': 6.24}

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{'loss': 2.6077, 'learning_rate': 1.611694541682873e-07, 'epoch': 6.24}

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{'loss': 2.5993, 'learning_rate': 1.6113704135874496e-07, 'epoch': 6.25}

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{'loss': 2.6326, 'learning_rate': 1.6110462854920265e-07, 'epoch': 6.25}

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{'loss': 2.612, 'learning_rate': 1.6107221573966029e-07, 'epoch': 6.26}

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{'loss': 2.662, 'learning_rate': 1.6103980293011797e-07, 'epoch': 6.27}

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{'loss': 2.6377, 'learning_rate': 1.6100739012057566e-07, 'epoch': 6.27}

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{'loss': 2.6113, 'learning_rate': 1.609749773110333e-07, 'epoch': 6.28}

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{'loss': 2.6094, 'learning_rate': 1.6094256450149099e-07, 'epoch': 6.28}

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{'loss': 2.6185, 'learning_rate': 1.6091015169194867e-07, 'epoch': 6.29}

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{'loss': 2.6523, 'learning_rate': 1.608777388824063e-07, 'epoch': 6.29}

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{'loss': 2.6458, 'learning_rate': 1.60845326072864e-07, 'epoch': 6.3}

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{'loss': 2.5826, 'learning_rate': 1.6081291326332166e-07, 'epoch': 6.3}

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{'loss': 2.6395, 'learning_rate': 1.6078050045377932e-07, 'epoch': 6.31}

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{'loss': 2.6305, 'learning_rate': 1.60748087644237e-07, 'epoch': 6.31}

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{'loss': 2.6493, 'learning_rate': 1.6071567483469465e-07, 'epoch': 6.32}

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{'loss': 2.6198, 'learning_rate': 1.6068326202515233e-07, 'epoch': 6.32}

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{'loss': 2.5705, 'learning_rate': 1.6065084921561002e-07, 'epoch': 6.33}

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{'loss': 2.5797, 'learning_rate': 1.6061843640606766e-07, 'epoch': 6.33}

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{'loss': 2.6152, 'learning_rate': 1.6058602359652535e-07, 'epoch': 6.34}

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{'loss': 2.6075, 'learning_rate': 1.60553610786983e-07, 'epoch': 6.34}

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{'loss': 2.6446, 'learning_rate': 1.6052119797744067e-07, 'epoch': 6.35}

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{'loss': 2.6204, 'learning_rate': 1.6048878516789836e-07, 'epoch': 6.35}

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{'loss': 2.6079, 'learning_rate': 1.60456372358356e-07, 'epoch': 6.36}

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{'loss': 2.59, 'learning_rate': 1.6042395954881368e-07, 'epoch': 6.36}

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{'loss': 2.6417, 'learning_rate': 1.6039154673927137e-07, 'epoch': 6.37}

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{'loss': 2.6426, 'learning_rate': 1.60359133929729e-07, 'epoch': 6.37}

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{'loss': 2.6004, 'learning_rate': 1.603267211201867e-07, 'epoch': 6.38}

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{'loss': 2.6422, 'learning_rate': 1.6029430831064438e-07, 'epoch': 6.38}

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{'loss': 2.595, 'learning_rate': 1.6026189550110202e-07, 'epoch': 6.39}

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{'loss': 2.6091, 'learning_rate': 1.602294826915597e-07, 'epoch': 6.39}

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{'loss': 2.5978, 'learning_rate': 1.6019706988201737e-07, 'epoch': 6.4}

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{'loss': 2.5525, 'learning_rate': 1.6016465707247503e-07, 'epoch': 6.4}

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{'loss': 2.6011, 'learning_rate': 1.6013224426293272e-07, 'epoch': 6.41}

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{'loss': 2.5727, 'learning_rate': 1.6009983145339035e-07, 'epoch': 6.41}

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{'loss': 2.6214, 'learning_rate': 1.6006741864384804e-07, 'epoch': 6.42}

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{'loss': 2.6492, 'learning_rate': 1.6003500583430573e-07, 'epoch': 6.43}

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{'loss': 2.628, 'learning_rate': 1.6000259302476336e-07, 'epoch': 6.43}

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{'loss': 2.6282, 'learning_rate': 1.5997018021522105e-07, 'epoch': 6.44}

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{'loss': 2.6483, 'learning_rate': 1.5993776740567874e-07, 'epoch': 6.44}

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{'loss': 2.6026, 'learning_rate': 1.5990535459613638e-07, 'epoch': 6.45}

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{'loss': 2.6324, 'learning_rate': 1.5987294178659407e-07, 'epoch': 6.45}

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{'loss': 2.5601, 'learning_rate': 1.5984052897705173e-07, 'epoch': 6.46}

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{'loss': 2.6437, 'learning_rate': 1.598081161675094e-07, 'epoch': 6.46}

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{'loss': 2.6326, 'learning_rate': 1.5977570335796708e-07, 'epoch': 6.47}

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{'loss': 2.6664, 'learning_rate': 1.597432905484247e-07, 'epoch': 6.47}

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{'loss': 2.6057, 'learning_rate': 1.597108777388824e-07, 'epoch': 6.48}

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{'loss': 2.6007, 'learning_rate': 1.596784649293401e-07, 'epoch': 6.48}

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{'loss': 2.5935, 'learning_rate': 1.5964605211979772e-07, 'epoch': 6.49}

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{'loss': 2.5344, 'learning_rate': 1.5961363931025541e-07, 'epoch': 6.49}

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{'loss': 2.6249, 'learning_rate': 1.5958122650071308e-07, 'epoch': 6.5}

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{'loss': 2.5882, 'learning_rate': 1.5954881369117074e-07, 'epoch': 6.5}

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{'loss': 2.6219, 'learning_rate': 1.5951640088162843e-07, 'epoch': 6.51}

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{'loss': 2.5838, 'learning_rate': 1.5948398807208606e-07, 'epoch': 6.51}

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{'loss': 2.5943, 'learning_rate': 1.5945157526254375e-07, 'epoch': 6.52}

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{'loss': 2.6468, 'learning_rate': 1.5941916245300144e-07, 'epoch': 6.52}

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{'loss': 2.6726, 'learning_rate': 1.5938674964345907e-07, 'epoch': 6.53}

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{'loss': 2.5732, 'learning_rate': 1.5935433683391676e-07, 'epoch': 6.53}

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{'loss': 2.5739, 'learning_rate': 1.5932192402437442e-07, 'epoch': 6.54}

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{'loss': 2.5914, 'learning_rate': 1.5928951121483208e-07, 'epoch': 6.54}

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{'loss': 2.6142, 'learning_rate': 1.5925709840528977e-07, 'epoch': 6.55}

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{'loss': 2.6145, 'learning_rate': 1.5922468559574744e-07, 'epoch': 6.55}

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{'loss': 2.6449, 'learning_rate': 1.591922727862051e-07, 'epoch': 6.56}

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{'loss': 2.586, 'learning_rate': 1.5915985997666279e-07, 'epoch': 6.56}

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{'loss': 2.6136, 'learning_rate': 1.5912744716712042e-07, 'epoch': 6.57}

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{'loss': 2.6556, 'learning_rate': 1.590950343575781e-07, 'epoch': 6.58}

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{'loss': 2.6557, 'learning_rate': 1.5906262154803577e-07, 'epoch': 6.58}

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{'loss': 2.5518, 'learning_rate': 1.5903020873849343e-07, 'epoch': 6.59}

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{'loss': 2.6054, 'learning_rate': 1.5899779592895112e-07, 'epoch': 6.59}

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{'loss': 2.5766, 'learning_rate': 1.5896538311940878e-07, 'epoch': 6.6}

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{'loss': 2.5573, 'learning_rate': 1.5893297030986644e-07, 'epoch': 6.6}

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{'loss': 2.6429, 'learning_rate': 1.5890055750032413e-07, 'epoch': 6.61}

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{'loss': 2.6795, 'learning_rate': 1.588681446907818e-07, 'epoch': 6.61}

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{'loss': 2.6573, 'learning_rate': 1.5883573188123946e-07, 'epoch': 6.62}

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{'loss': 2.5762, 'learning_rate': 1.5880331907169712e-07, 'epoch': 6.62}

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{'loss': 2.6336, 'learning_rate': 1.5877090626215478e-07, 'epoch': 6.63}

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{'loss': 2.5999, 'learning_rate': 1.5873849345261247e-07, 'epoch': 6.63}

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{'loss': 2.6625, 'learning_rate': 1.5870608064307013e-07, 'epoch': 6.64}

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{'loss': 2.5277, 'learning_rate': 1.586736678335278e-07, 'epoch': 6.64}

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{'loss': 2.5688, 'learning_rate': 1.5864125502398548e-07, 'epoch': 6.65}

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{'loss': 2.5813, 'learning_rate': 1.5860884221444314e-07, 'epoch': 6.65}

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{'loss': 2.622, 'learning_rate': 1.585764294049008e-07, 'epoch': 6.66}

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{'loss': 2.5956, 'learning_rate': 1.5854401659535847e-07, 'epoch': 6.66}

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{'loss': 2.5834, 'learning_rate': 1.5851160378581613e-07, 'epoch': 6.67}

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{'loss': 2.5737, 'learning_rate': 1.5847919097627382e-07, 'epoch': 6.67}

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{'loss': 2.5815, 'learning_rate': 1.5844677816673148e-07, 'epoch': 6.68}

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{'loss': 2.5868, 'learning_rate': 1.5841436535718914e-07, 'epoch': 6.68}

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{'loss': 2.6376, 'learning_rate': 1.5838195254764683e-07, 'epoch': 6.69}

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{'loss': 2.5857, 'learning_rate': 1.583495397381045e-07, 'epoch': 6.69}

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{'loss': 2.6078, 'learning_rate': 1.5831712692856215e-07, 'epoch': 6.7}

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{'loss': 2.6262, 'learning_rate': 1.5828471411901981e-07, 'epoch': 6.7}

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{'loss': 2.5676, 'learning_rate': 1.582523013094775e-07, 'epoch': 6.71}

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{'loss': 2.6036, 'learning_rate': 1.5821988849993516e-07, 'epoch': 6.71}

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{'loss': 2.5575, 'learning_rate': 1.5818747569039283e-07, 'epoch': 6.72}

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{'loss': 2.5708, 'learning_rate': 1.581550628808505e-07, 'epoch': 6.73}

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{'loss': 2.6489, 'learning_rate': 1.5812265007130818e-07, 'epoch': 6.73}

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{'loss': 2.6338, 'learning_rate': 1.5809023726176584e-07, 'epoch': 6.74}

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{'loss': 2.6506, 'learning_rate': 1.580578244522235e-07, 'epoch': 6.74}

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{'loss': 2.541, 'learning_rate': 1.5802541164268116e-07, 'epoch': 6.75}

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{'loss': 2.5367, 'learning_rate': 1.5799299883313885e-07, 'epoch': 6.75}

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{'loss': 2.5891, 'learning_rate': 1.579605860235965e-07, 'epoch': 6.76}

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{'loss': 2.6226, 'learning_rate': 1.5792817321405417e-07, 'epoch': 6.76}

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{'loss': 2.6313, 'learning_rate': 1.5789576040451186e-07, 'epoch': 6.77}

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{'loss': 2.5891, 'learning_rate': 1.5786334759496952e-07, 'epoch': 6.77}

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{'loss': 2.5806, 'learning_rate': 1.5783093478542719e-07, 'epoch': 6.78}

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{'loss': 2.5518, 'learning_rate': 1.5779852197588485e-07, 'epoch': 6.78}

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{'loss': 2.6104, 'learning_rate': 1.5776610916634254e-07, 'epoch': 6.79}

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{'loss': 2.6052, 'learning_rate': 1.577336963568002e-07, 'epoch': 6.79}

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{'loss': 2.5845, 'learning_rate': 1.5770128354725786e-07, 'epoch': 6.8}

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{'loss': 2.6096, 'learning_rate': 1.5766887073771552e-07, 'epoch': 6.8}

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{'loss': 2.5916, 'learning_rate': 1.576364579281732e-07, 'epoch': 6.81}

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{'loss': 2.584, 'learning_rate': 1.5760404511863087e-07, 'epoch': 6.81}

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{'loss': 2.6194, 'learning_rate': 1.5757163230908853e-07, 'epoch': 6.82}

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{'loss': 2.6581, 'learning_rate': 1.575392194995462e-07, 'epoch': 6.82}

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{'loss': 2.6636, 'learning_rate': 1.5750680669000388e-07, 'epoch': 6.83}

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{'loss': 2.6135, 'learning_rate': 1.5747439388046155e-07, 'epoch': 6.83}

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{'loss': 2.609, 'learning_rate': 1.574419810709192e-07, 'epoch': 6.84}

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{'loss': 2.6168, 'learning_rate': 1.574095682613769e-07, 'epoch': 6.84}

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{'loss': 2.5408, 'learning_rate': 1.5737715545183456e-07, 'epoch': 6.85}

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{'loss': 2.6252, 'learning_rate': 1.5734474264229222e-07, 'epoch': 6.85}

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{'loss': 2.5935, 'learning_rate': 1.5731232983274988e-07, 'epoch': 6.86}

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{'loss': 2.5767, 'learning_rate': 1.5727991702320757e-07, 'epoch': 6.86}

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{'loss': 2.6351, 'learning_rate': 1.5724750421366523e-07, 'epoch': 6.87}

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{'loss': 2.5793, 'learning_rate': 1.572150914041229e-07, 'epoch': 6.87}

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{'loss': 2.6026, 'learning_rate': 1.5718267859458056e-07, 'epoch': 6.88}

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{'loss': 2.5796, 'learning_rate': 1.5715026578503824e-07, 'epoch': 6.89}

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{'loss': 2.6488, 'learning_rate': 1.571178529754959e-07, 'epoch': 6.89}

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{'loss': 2.6461, 'learning_rate': 1.5708544016595357e-07, 'epoch': 6.9}

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{'loss': 2.5738, 'learning_rate': 1.5705302735641123e-07, 'epoch': 6.9}

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{'loss': 2.5407, 'learning_rate': 1.5702061454686892e-07, 'epoch': 6.91}

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{'loss': 2.6304, 'learning_rate': 1.5698820173732658e-07, 'epoch': 6.91}

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{'loss': 2.576, 'learning_rate': 1.5695578892778424e-07, 'epoch': 6.92}

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{'loss': 2.5784, 'learning_rate': 1.5692337611824193e-07, 'epoch': 6.92}

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{'loss': 2.6124, 'learning_rate': 1.568909633086996e-07, 'epoch': 6.93}

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{'loss': 2.5992, 'learning_rate': 1.5685855049915725e-07, 'epoch': 6.93}

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{'loss': 2.5961, 'learning_rate': 1.5682613768961492e-07, 'epoch': 6.94}

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{'loss': 2.5989, 'learning_rate': 1.567937248800726e-07, 'epoch': 6.94}

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{'loss': 2.6514, 'learning_rate': 1.5676131207053027e-07, 'epoch': 6.95}

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{'loss': 2.5921, 'learning_rate': 1.5672889926098793e-07, 'epoch': 6.95}

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{'loss': 2.5907, 'learning_rate': 1.566964864514456e-07, 'epoch': 6.96}

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{'loss': 2.5183, 'learning_rate': 1.5666407364190328e-07, 'epoch': 6.96}

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{'loss': 2.6151, 'learning_rate': 1.5663166083236094e-07, 'epoch': 6.97}

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{'loss': 2.5454, 'learning_rate': 1.565992480228186e-07, 'epoch': 6.97}

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{'loss': 2.5349, 'learning_rate': 1.5656683521327626e-07, 'epoch': 6.98}

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{'loss': 2.6422, 'learning_rate': 1.5653442240373395e-07, 'epoch': 6.98}

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{'loss': 2.6273, 'learning_rate': 1.5650200959419161e-07, 'epoch': 6.99}

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{'loss': 2.5851, 'learning_rate': 1.5646959678464928e-07, 'epoch': 6.99}

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{'loss': 2.5716, 'learning_rate': 1.5643718397510696e-07, 'epoch': 7.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [14:21<00:00,  1.04it/s]{'score': 5.220083135583361, 'counts': [15847, 6350, 2984, 1408], 'totals': [89471, 87749, 86027, 84305], 'precisions': [17.711884297705403, 7.236549704270134, 3.4686784381647624, 1.6701263270268667], 'bp': 1.0, 'sys_len': 89471, 'ref_len': 32555}

                                                          

                                                 
{'eval_loss': 2.561117172241211, 'eval_bleu': 5.2201, 'eval_gen_len': 46.1405, 'eval_runtime': 958.6568, 'eval_samples_per_second': 1.796, 'eval_steps_per_second': 0.898, 'epoch': 7.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 06:42:13,060 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.5946, 'learning_rate': 1.5640477116556463e-07, 'epoch': 7.0}

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{'loss': 2.5941, 'learning_rate': 1.563723583560223e-07, 'epoch': 7.01}

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{'loss': 2.5895, 'learning_rate': 1.5633994554647995e-07, 'epoch': 7.01}

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{'loss': 2.5711, 'learning_rate': 1.5630753273693764e-07, 'epoch': 7.02}

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{'loss': 2.6074, 'learning_rate': 1.562751199273953e-07, 'epoch': 7.02}

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{'loss': 2.5763, 'learning_rate': 1.5624270711785296e-07, 'epoch': 7.03}

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{'loss': 2.5656, 'learning_rate': 1.5621029430831062e-07, 'epoch': 7.04}

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{'loss': 2.576, 'learning_rate': 1.561778814987683e-07, 'epoch': 7.04}

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{'loss': 2.6323, 'learning_rate': 1.5614546868922597e-07, 'epoch': 7.05}

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{'loss': 2.6121, 'learning_rate': 1.5611305587968364e-07, 'epoch': 7.05}

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{'loss': 2.5962, 'learning_rate': 1.560806430701413e-07, 'epoch': 7.06}

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{'loss': 2.614, 'learning_rate': 1.5604823026059899e-07, 'epoch': 7.06}

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{'loss': 2.5828, 'learning_rate': 1.5601581745105665e-07, 'epoch': 7.07}

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{'loss': 2.6366, 'learning_rate': 1.559834046415143e-07, 'epoch': 7.07}

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{'loss': 2.5704, 'learning_rate': 1.55950991831972e-07, 'epoch': 7.08}

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{'loss': 2.6038, 'learning_rate': 1.5591857902242966e-07, 'epoch': 7.08}

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{'loss': 2.5829, 'learning_rate': 1.5588616621288732e-07, 'epoch': 7.09}

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{'loss': 2.5535, 'learning_rate': 1.5585375340334498e-07, 'epoch': 7.09}

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{'loss': 2.6527, 'learning_rate': 1.5582134059380267e-07, 'epoch': 7.1}

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{'loss': 2.5602, 'learning_rate': 1.5578892778426033e-07, 'epoch': 7.1}

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{'loss': 2.5519, 'learning_rate': 1.55756514974718e-07, 'epoch': 7.11}

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{'loss': 2.6072, 'learning_rate': 1.5572410216517566e-07, 'epoch': 7.11}

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{'loss': 2.5692, 'learning_rate': 1.5569168935563335e-07, 'epoch': 7.12}

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{'loss': 2.5865, 'learning_rate': 1.55659276546091e-07, 'epoch': 7.12}

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{'loss': 2.5513, 'learning_rate': 1.5562686373654867e-07, 'epoch': 7.13}

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{'loss': 2.5622, 'learning_rate': 1.5559445092700633e-07, 'epoch': 7.13}

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{'loss': 2.5787, 'learning_rate': 1.5556203811746402e-07, 'epoch': 7.14}

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{'loss': 2.5697, 'learning_rate': 1.5552962530792168e-07, 'epoch': 7.14}

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{'loss': 2.5477, 'learning_rate': 1.5549721249837934e-07, 'epoch': 7.15}

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{'loss': 2.5206, 'learning_rate': 1.5546479968883703e-07, 'epoch': 7.15}

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{'loss': 2.6325, 'learning_rate': 1.554323868792947e-07, 'epoch': 7.16}

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{'loss': 2.5897, 'learning_rate': 1.5539997406975236e-07, 'epoch': 7.16}

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{'loss': 2.5669, 'learning_rate': 1.5536756126021002e-07, 'epoch': 7.17}

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{'loss': 2.5391, 'learning_rate': 1.553351484506677e-07, 'epoch': 7.17}

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{'loss': 2.5715, 'learning_rate': 1.5530273564112537e-07, 'epoch': 7.18}

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{'loss': 2.6015, 'learning_rate': 1.5527032283158303e-07, 'epoch': 7.19}

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{'loss': 2.6043, 'learning_rate': 1.552379100220407e-07, 'epoch': 7.19}

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{'loss': 2.5723, 'learning_rate': 1.5520549721249838e-07, 'epoch': 7.2}

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{'loss': 2.5877, 'learning_rate': 1.5517308440295604e-07, 'epoch': 7.2}

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{'loss': 2.5823, 'learning_rate': 1.551406715934137e-07, 'epoch': 7.21}

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{'loss': 2.5435, 'learning_rate': 1.5510825878387137e-07, 'epoch': 7.21}

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{'loss': 2.5416, 'learning_rate': 1.5507584597432905e-07, 'epoch': 7.22}

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{'loss': 2.6001, 'learning_rate': 1.5504343316478672e-07, 'epoch': 7.22}

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{'loss': 2.6136, 'learning_rate': 1.5501102035524438e-07, 'epoch': 7.23}

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{'loss': 2.6079, 'learning_rate': 1.5497860754570204e-07, 'epoch': 7.23}

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{'loss': 2.6051, 'learning_rate': 1.5494619473615973e-07, 'epoch': 7.24}

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{'loss': 2.6275, 'learning_rate': 1.549137819266174e-07, 'epoch': 7.24}

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{'loss': 2.6114, 'learning_rate': 1.5488136911707505e-07, 'epoch': 7.25}

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{'loss': 2.6532, 'learning_rate': 1.5484895630753274e-07, 'epoch': 7.25}

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{'loss': 2.5954, 'learning_rate': 1.548165434979904e-07, 'epoch': 7.26}

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{'loss': 2.555, 'learning_rate': 1.5478413068844806e-07, 'epoch': 7.26}

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{'loss': 2.601, 'learning_rate': 1.5475171787890573e-07, 'epoch': 7.27}

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{'loss': 2.5666, 'learning_rate': 1.547193050693634e-07, 'epoch': 7.27}

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{'loss': 2.563, 'learning_rate': 1.5468689225982108e-07, 'epoch': 7.28}

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{'loss': 2.5919, 'learning_rate': 1.5465447945027874e-07, 'epoch': 7.28}

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{'loss': 2.5042, 'learning_rate': 1.546220666407364e-07, 'epoch': 7.29}

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{'loss': 2.614, 'learning_rate': 1.545896538311941e-07, 'epoch': 7.29}

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{'loss': 2.5763, 'learning_rate': 1.5455724102165175e-07, 'epoch': 7.3}

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{'loss': 2.5852, 'learning_rate': 1.545248282121094e-07, 'epoch': 7.3}

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{'loss': 2.638, 'learning_rate': 1.544924154025671e-07, 'epoch': 7.31}

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{'loss': 2.5642, 'learning_rate': 1.5446000259302476e-07, 'epoch': 7.31}

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{'loss': 2.5905, 'learning_rate': 1.5442758978348242e-07, 'epoch': 7.32}

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{'loss': 2.5641, 'learning_rate': 1.5439517697394009e-07, 'epoch': 7.32}

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{'loss': 2.5369, 'learning_rate': 1.5436276416439775e-07, 'epoch': 7.33}

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{'loss': 2.5828, 'learning_rate': 1.5433035135485544e-07, 'epoch': 7.33}

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{'loss': 2.6183, 'learning_rate': 1.542979385453131e-07, 'epoch': 7.34}

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{'loss': 2.5041, 'learning_rate': 1.5426552573577076e-07, 'epoch': 7.35}

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{'loss': 2.6381, 'learning_rate': 1.5423311292622845e-07, 'epoch': 7.35}

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{'loss': 2.607, 'learning_rate': 1.542007001166861e-07, 'epoch': 7.36}

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{'loss': 2.5654, 'learning_rate': 1.5416828730714377e-07, 'epoch': 7.36}

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{'loss': 2.5333, 'learning_rate': 1.5413587449760143e-07, 'epoch': 7.37}

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{'loss': 2.5771, 'learning_rate': 1.5410346168805912e-07, 'epoch': 7.37}

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{'loss': 2.5225, 'learning_rate': 1.5407104887851678e-07, 'epoch': 7.38}

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{'loss': 2.6159, 'learning_rate': 1.5403863606897445e-07, 'epoch': 7.38}

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{'loss': 2.6229, 'learning_rate': 1.540062232594321e-07, 'epoch': 7.39}

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{'loss': 2.5326, 'learning_rate': 1.539738104498898e-07, 'epoch': 7.39}

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{'loss': 2.5116, 'learning_rate': 1.5394139764034746e-07, 'epoch': 7.4}

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{'loss': 2.5276, 'learning_rate': 1.5390898483080512e-07, 'epoch': 7.4}

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{'loss': 2.5662, 'learning_rate': 1.538765720212628e-07, 'epoch': 7.41}

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{'loss': 2.5843, 'learning_rate': 1.5384415921172047e-07, 'epoch': 7.41}

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{'loss': 2.6341, 'learning_rate': 1.5381174640217813e-07, 'epoch': 7.42}

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{'loss': 2.5741, 'learning_rate': 1.537793335926358e-07, 'epoch': 7.42}

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{'loss': 2.5658, 'learning_rate': 1.5374692078309346e-07, 'epoch': 7.43}

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{'loss': 2.5909, 'learning_rate': 1.5371450797355114e-07, 'epoch': 7.43}

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{'loss': 2.5543, 'learning_rate': 1.536820951640088e-07, 'epoch': 7.44}

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{'loss': 2.5546, 'learning_rate': 1.5364968235446647e-07, 'epoch': 7.44}

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{'loss': 2.5236, 'learning_rate': 1.5361726954492416e-07, 'epoch': 7.45}

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{'loss': 2.5981, 'learning_rate': 1.5358485673538182e-07, 'epoch': 7.45}

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{'loss': 2.5322, 'learning_rate': 1.5355244392583948e-07, 'epoch': 7.46}

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{'loss': 2.6326, 'learning_rate': 1.5352003111629717e-07, 'epoch': 7.46}

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{'loss': 2.5647, 'learning_rate': 1.5348761830675483e-07, 'epoch': 7.47}

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{'loss': 2.6036, 'learning_rate': 1.534552054972125e-07, 'epoch': 7.47}

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{'loss': 2.5672, 'learning_rate': 1.5342279268767015e-07, 'epoch': 7.48}

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{'loss': 2.5102, 'learning_rate': 1.5339037987812782e-07, 'epoch': 7.48}

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{'loss': 2.6278, 'learning_rate': 1.533579670685855e-07, 'epoch': 7.49}

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{'loss': 2.6092, 'learning_rate': 1.5332555425904317e-07, 'epoch': 7.5}

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{'loss': 2.5685, 'learning_rate': 1.5329314144950083e-07, 'epoch': 7.5}

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{'loss': 2.5203, 'learning_rate': 1.5326072863995852e-07, 'epoch': 7.51}

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{'loss': 2.6086, 'learning_rate': 1.5322831583041618e-07, 'epoch': 7.51}

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{'loss': 2.556, 'learning_rate': 1.5319590302087384e-07, 'epoch': 7.52}

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{'loss': 2.6068, 'learning_rate': 1.531634902113315e-07, 'epoch': 7.52}

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{'loss': 2.5915, 'learning_rate': 1.531310774017892e-07, 'epoch': 7.53}

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{'loss': 2.5853, 'learning_rate': 1.5309866459224685e-07, 'epoch': 7.53}

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{'loss': 2.5933, 'learning_rate': 1.5306625178270451e-07, 'epoch': 7.54}

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{'loss': 2.5732, 'learning_rate': 1.5303383897316218e-07, 'epoch': 7.54}

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{'loss': 2.5925, 'learning_rate': 1.5300142616361986e-07, 'epoch': 7.55}

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{'loss': 2.6029, 'learning_rate': 1.5296901335407753e-07, 'epoch': 7.55}

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{'loss': 2.6053, 'learning_rate': 1.529366005445352e-07, 'epoch': 7.56}

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{'loss': 2.5341, 'learning_rate': 1.5290418773499288e-07, 'epoch': 7.56}

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{'loss': 2.4981, 'learning_rate': 1.5287177492545054e-07, 'epoch': 7.57}

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{'loss': 2.5551, 'learning_rate': 1.528393621159082e-07, 'epoch': 7.57}

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{'loss': 2.5029, 'learning_rate': 1.5280694930636586e-07, 'epoch': 7.58}

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{'loss': 2.6108, 'learning_rate': 1.5277453649682352e-07, 'epoch': 7.58}

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{'loss': 2.5652, 'learning_rate': 1.527421236872812e-07, 'epoch': 7.59}

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{'loss': 2.5423, 'learning_rate': 1.5270971087773887e-07, 'epoch': 7.59}

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{'loss': 2.5123, 'learning_rate': 1.5267729806819654e-07, 'epoch': 7.6}

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{'loss': 2.5787, 'learning_rate': 1.5264488525865422e-07, 'epoch': 7.6}

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{'loss': 2.5894, 'learning_rate': 1.5261247244911189e-07, 'epoch': 7.61}

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{'loss': 2.5427, 'learning_rate': 1.5258005963956955e-07, 'epoch': 7.61}

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{'loss': 2.6234, 'learning_rate': 1.5254764683002724e-07, 'epoch': 7.62}

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{'loss': 2.5201, 'learning_rate': 1.525152340204849e-07, 'epoch': 7.62}

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{'loss': 2.5933, 'learning_rate': 1.5248282121094256e-07, 'epoch': 7.63}

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{'loss': 2.555, 'learning_rate': 1.5245040840140022e-07, 'epoch': 7.63}

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{'loss': 2.5297, 'learning_rate': 1.5241799559185788e-07, 'epoch': 7.64}

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{'loss': 2.574, 'learning_rate': 1.5238558278231557e-07, 'epoch': 7.65}

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{'loss': 2.6062, 'learning_rate': 1.5235316997277323e-07, 'epoch': 7.65}

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{'loss': 2.5437, 'learning_rate': 1.523207571632309e-07, 'epoch': 7.66}

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{'loss': 2.599, 'learning_rate': 1.5228834435368858e-07, 'epoch': 7.66}

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{'loss': 2.5211, 'learning_rate': 1.5225593154414625e-07, 'epoch': 7.67}

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{'loss': 2.538, 'learning_rate': 1.522235187346039e-07, 'epoch': 7.67}

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{'loss': 2.5887, 'learning_rate': 1.5219110592506157e-07, 'epoch': 7.68}

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{'loss': 2.5519, 'learning_rate': 1.5215869311551926e-07, 'epoch': 7.68}

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{'loss': 2.5509, 'learning_rate': 1.5212628030597692e-07, 'epoch': 7.69}

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{'loss': 2.5353, 'learning_rate': 1.5209386749643458e-07, 'epoch': 7.69}

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{'loss': 2.6387, 'learning_rate': 1.5206145468689224e-07, 'epoch': 7.7}

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{'loss': 2.5547, 'learning_rate': 1.5202904187734993e-07, 'epoch': 7.7}

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{'loss': 2.65, 'learning_rate': 1.519966290678076e-07, 'epoch': 7.71}

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{'loss': 2.5733, 'learning_rate': 1.5196421625826526e-07, 'epoch': 7.71}

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{'loss': 2.5608, 'learning_rate': 1.5193180344872294e-07, 'epoch': 7.72}

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{'loss': 2.5819, 'learning_rate': 1.518993906391806e-07, 'epoch': 7.72}

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{'loss': 2.6017, 'learning_rate': 1.5186697782963827e-07, 'epoch': 7.73}

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{'loss': 2.5467, 'learning_rate': 1.5183456502009593e-07, 'epoch': 7.73}

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{'loss': 2.558, 'learning_rate': 1.518021522105536e-07, 'epoch': 7.74}

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{'loss': 2.5716, 'learning_rate': 1.5176973940101128e-07, 'epoch': 7.74}

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{'loss': 2.5765, 'learning_rate': 1.5173732659146894e-07, 'epoch': 7.75}

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{'loss': 2.6051, 'learning_rate': 1.517049137819266e-07, 'epoch': 7.75}

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{'loss': 2.6049, 'learning_rate': 1.516725009723843e-07, 'epoch': 7.76}

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{'loss': 2.5621, 'learning_rate': 1.5164008816284195e-07, 'epoch': 7.76}

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{'loss': 2.5449, 'learning_rate': 1.5160767535329962e-07, 'epoch': 7.77}

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{'loss': 2.5652, 'learning_rate': 1.515752625437573e-07, 'epoch': 7.77}

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{'loss': 2.5216, 'learning_rate': 1.5154284973421497e-07, 'epoch': 7.78}

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{'loss': 2.521, 'learning_rate': 1.5151043692467263e-07, 'epoch': 7.78}

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{'loss': 2.5561, 'learning_rate': 1.514780241151303e-07, 'epoch': 7.79}

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{'loss': 2.5601, 'learning_rate': 1.5144561130558795e-07, 'epoch': 7.79}

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{'loss': 2.5599, 'learning_rate': 1.5141319849604564e-07, 'epoch': 7.8}

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{'loss': 2.6198, 'learning_rate': 1.513807856865033e-07, 'epoch': 7.81}

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{'loss': 2.6023, 'learning_rate': 1.5134837287696096e-07, 'epoch': 7.81}

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{'loss': 2.5248, 'learning_rate': 1.5131596006741865e-07, 'epoch': 7.82}

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{'loss': 2.5971, 'learning_rate': 1.5128354725787631e-07, 'epoch': 7.82}

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{'loss': 2.5428, 'learning_rate': 1.5125113444833398e-07, 'epoch': 7.83}

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{'loss': 2.5757, 'learning_rate': 1.5121872163879164e-07, 'epoch': 7.83}

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{'loss': 2.561, 'learning_rate': 1.5118630882924933e-07, 'epoch': 7.84}

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{'loss': 2.5586, 'learning_rate': 1.51153896019707e-07, 'epoch': 7.84}

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{'loss': 2.612, 'learning_rate': 1.5112148321016465e-07, 'epoch': 7.85}

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{'loss': 2.5565, 'learning_rate': 1.510890704006223e-07, 'epoch': 7.85}

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{'loss': 2.5571, 'learning_rate': 1.5105665759108e-07, 'epoch': 7.86}

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{'loss': 2.5895, 'learning_rate': 1.5102424478153766e-07, 'epoch': 7.86}

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{'loss': 2.5987, 'learning_rate': 1.5099183197199532e-07, 'epoch': 7.87}

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{'loss': 2.5516, 'learning_rate': 1.5095941916245298e-07, 'epoch': 7.87}

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{'loss': 2.5649, 'learning_rate': 1.5092700635291067e-07, 'epoch': 7.88}

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{'loss': 2.5498, 'learning_rate': 1.5089459354336834e-07, 'epoch': 7.88}

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{'loss': 2.6242, 'learning_rate': 1.50862180733826e-07, 'epoch': 7.89}

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{'loss': 2.5774, 'learning_rate': 1.5082976792428366e-07, 'epoch': 7.89}

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{'loss': 2.5298, 'learning_rate': 1.5079735511474135e-07, 'epoch': 7.9}

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{'loss': 2.55, 'learning_rate': 1.50764942305199e-07, 'epoch': 7.9}

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{'loss': 2.5924, 'learning_rate': 1.5073252949565667e-07, 'epoch': 7.91}

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{'loss': 2.515, 'learning_rate': 1.5070011668611436e-07, 'epoch': 7.91}

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{'loss': 2.5605, 'learning_rate': 1.5066770387657202e-07, 'epoch': 7.92}

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{'loss': 2.6101, 'learning_rate': 1.5063529106702968e-07, 'epoch': 7.92}

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{'loss': 2.5612, 'learning_rate': 1.5060287825748734e-07, 'epoch': 7.93}

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{'loss': 2.6157, 'learning_rate': 1.5057046544794503e-07, 'epoch': 7.93}

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{'loss': 2.5566, 'learning_rate': 1.505380526384027e-07, 'epoch': 7.94}

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{'loss': 2.5501, 'learning_rate': 1.5050563982886036e-07, 'epoch': 7.94}

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{'loss': 2.5918, 'learning_rate': 1.5047322701931802e-07, 'epoch': 7.95}

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{'loss': 2.5722, 'learning_rate': 1.504408142097757e-07, 'epoch': 7.96}

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{'loss': 2.5233, 'learning_rate': 1.5040840140023337e-07, 'epoch': 7.96}

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{'loss': 2.5999, 'learning_rate': 1.5037598859069103e-07, 'epoch': 7.97}

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{'loss': 2.5356, 'learning_rate': 1.503435757811487e-07, 'epoch': 7.97}

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{'loss': 2.5524, 'learning_rate': 1.5031116297160638e-07, 'epoch': 7.98}

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{'loss': 2.6066, 'learning_rate': 1.5027875016206404e-07, 'epoch': 7.98}

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{'loss': 2.5563, 'learning_rate': 1.502463373525217e-07, 'epoch': 7.99}

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{'loss': 2.5131, 'learning_rate': 1.502139245429794e-07, 'epoch': 7.99}

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{'loss': 2.5943, 'learning_rate': 1.5018151173343705e-07, 'epoch': 8.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [12:46<00:00,  1.04it/s]{'score': 8.026318696205198, 'counts': [16924, 7208, 3460, 1663], 'totals': [66741, 65019, 63297, 61575], 'precisions': [25.357726135359076, 11.085990249004137, 5.466293821192157, 2.700771416971173], 'bp': 1.0, 'sys_len': 66741, 'ref_len': 32555}

                                                          

                                                 
{'eval_loss': 2.5299909114837646, 'eval_bleu': 8.0263, 'eval_gen_len': 40.7538, 'eval_runtime': 863.7677, 'eval_samples_per_second': 1.994, 'eval_steps_per_second': 0.997, 'epoch': 8.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 08:26:42,117 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.5393, 'learning_rate': 1.5014909892389472e-07, 'epoch': 8.0}

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{'loss': 2.4841, 'learning_rate': 1.5011668611435238e-07, 'epoch': 8.01}

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{'loss': 2.5913, 'learning_rate': 1.5008427330481007e-07, 'epoch': 8.01}

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{'loss': 2.5053, 'learning_rate': 1.5005186049526773e-07, 'epoch': 8.02}

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{'loss': 2.5612, 'learning_rate': 1.500194476857254e-07, 'epoch': 8.02}

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{'loss': 2.5478, 'learning_rate': 1.4998703487618305e-07, 'epoch': 8.03}

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{'loss': 2.5783, 'learning_rate': 1.4995462206664074e-07, 'epoch': 8.03}

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{'loss': 2.5484, 'learning_rate': 1.499222092570984e-07, 'epoch': 8.04}

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{'loss': 2.6095, 'learning_rate': 1.4988979644755606e-07, 'epoch': 8.04}

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{'loss': 2.5052, 'learning_rate': 1.4985738363801373e-07, 'epoch': 8.05}

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{'loss': 2.4753, 'learning_rate': 1.4982497082847141e-07, 'epoch': 8.05}

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{'loss': 2.5393, 'learning_rate': 1.4979255801892908e-07, 'epoch': 8.06}

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{'loss': 2.5935, 'learning_rate': 1.4976014520938674e-07, 'epoch': 8.06}

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{'loss': 2.5911, 'learning_rate': 1.497277323998444e-07, 'epoch': 8.07}

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{'loss': 2.572, 'learning_rate': 1.496953195903021e-07, 'epoch': 8.07}

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{'loss': 2.5707, 'learning_rate': 1.4966290678075975e-07, 'epoch': 8.08}

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{'loss': 2.5847, 'learning_rate': 1.496304939712174e-07, 'epoch': 8.08}

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{'loss': 2.5486, 'learning_rate': 1.4959808116167507e-07, 'epoch': 8.09}

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{'loss': 2.5432, 'learning_rate': 1.4956566835213276e-07, 'epoch': 8.09}

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{'loss': 2.5547, 'learning_rate': 1.4953325554259042e-07, 'epoch': 8.1}

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{'loss': 2.5349, 'learning_rate': 1.4950084273304809e-07, 'epoch': 8.11}

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{'loss': 2.5603, 'learning_rate': 1.4946842992350577e-07, 'epoch': 8.11}

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{'loss': 2.5763, 'learning_rate': 1.4943601711396344e-07, 'epoch': 8.12}

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{'loss': 2.5194, 'learning_rate': 1.494036043044211e-07, 'epoch': 8.12}

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{'loss': 2.5414, 'learning_rate': 1.4937119149487876e-07, 'epoch': 8.13}

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{'loss': 2.5459, 'learning_rate': 1.4933877868533645e-07, 'epoch': 8.13}

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{'loss': 2.5307, 'learning_rate': 1.493063658757941e-07, 'epoch': 8.14}

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{'loss': 2.4837, 'learning_rate': 1.4927395306625177e-07, 'epoch': 8.14}

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{'loss': 2.5149, 'learning_rate': 1.4924154025670943e-07, 'epoch': 8.15}

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{'loss': 2.4708, 'learning_rate': 1.4920912744716712e-07, 'epoch': 8.15}

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{'loss': 2.5476, 'learning_rate': 1.4917671463762478e-07, 'epoch': 8.16}

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{'loss': 2.5492, 'learning_rate': 1.4914430182808245e-07, 'epoch': 8.16}

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{'loss': 2.5697, 'learning_rate': 1.491118890185401e-07, 'epoch': 8.17}

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{'loss': 2.5333, 'learning_rate': 1.490794762089978e-07, 'epoch': 8.17}

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{'loss': 2.5197, 'learning_rate': 1.4904706339945546e-07, 'epoch': 8.18}

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{'loss': 2.4984, 'learning_rate': 1.4901465058991312e-07, 'epoch': 8.18}

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{'loss': 2.5087, 'learning_rate': 1.489822377803708e-07, 'epoch': 8.19}

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{'loss': 2.5842, 'learning_rate': 1.4894982497082847e-07, 'epoch': 8.19}

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{'loss': 2.5249, 'learning_rate': 1.4891741216128613e-07, 'epoch': 8.2}

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{'loss': 2.5729, 'learning_rate': 1.488849993517438e-07, 'epoch': 8.2}

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{'loss': 2.5038, 'learning_rate': 1.4885258654220148e-07, 'epoch': 8.21}

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{'loss': 2.512, 'learning_rate': 1.4882017373265914e-07, 'epoch': 8.21}

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{'loss': 2.6194, 'learning_rate': 1.487877609231168e-07, 'epoch': 8.22}

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{'loss': 2.5354, 'learning_rate': 1.4875534811357447e-07, 'epoch': 8.22}

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{'loss': 2.577, 'learning_rate': 1.4872293530403216e-07, 'epoch': 8.23}

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{'loss': 2.5439, 'learning_rate': 1.4869052249448982e-07, 'epoch': 8.23}

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{'loss': 2.4729, 'learning_rate': 1.4865810968494748e-07, 'epoch': 8.24}

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{'loss': 2.5979, 'learning_rate': 1.4862569687540514e-07, 'epoch': 8.24}

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{'loss': 2.5676, 'learning_rate': 1.4859328406586283e-07, 'epoch': 8.25}

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{'loss': 2.5859, 'learning_rate': 1.485608712563205e-07, 'epoch': 8.25}

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{'loss': 2.558, 'learning_rate': 1.4852845844677815e-07, 'epoch': 8.26}

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{'loss': 2.5678, 'learning_rate': 1.4849604563723584e-07, 'epoch': 8.27}

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{'loss': 2.5299, 'learning_rate': 1.484636328276935e-07, 'epoch': 8.27}

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{'loss': 2.5439, 'learning_rate': 1.4843122001815117e-07, 'epoch': 8.28}

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{'loss': 2.4766, 'learning_rate': 1.4839880720860883e-07, 'epoch': 8.28}

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{'loss': 2.5289, 'learning_rate': 1.4836639439906652e-07, 'epoch': 8.29}

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{'loss': 2.5708, 'learning_rate': 1.4833398158952418e-07, 'epoch': 8.29}

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{'loss': 2.4981, 'learning_rate': 1.4830156877998184e-07, 'epoch': 8.3}

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{'loss': 2.5352, 'learning_rate': 1.482691559704395e-07, 'epoch': 8.3}

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{'loss': 2.558, 'learning_rate': 1.482367431608972e-07, 'epoch': 8.31}

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{'loss': 2.503, 'learning_rate': 1.4820433035135485e-07, 'epoch': 8.31}

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{'loss': 2.5792, 'learning_rate': 1.4817191754181251e-07, 'epoch': 8.32}

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{'loss': 2.5312, 'learning_rate': 1.4813950473227018e-07, 'epoch': 8.32}

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{'loss': 2.5503, 'learning_rate': 1.4810709192272786e-07, 'epoch': 8.33}

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{'loss': 2.5442, 'learning_rate': 1.4807467911318553e-07, 'epoch': 8.33}

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{'loss': 2.5578, 'learning_rate': 1.480422663036432e-07, 'epoch': 8.34}

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{'loss': 2.5253, 'learning_rate': 1.4800985349410088e-07, 'epoch': 8.34}

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{'loss': 2.4777, 'learning_rate': 1.4797744068455854e-07, 'epoch': 8.35}

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{'loss': 2.525, 'learning_rate': 1.479450278750162e-07, 'epoch': 8.35}

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{'loss': 2.5804, 'learning_rate': 1.4791261506547386e-07, 'epoch': 8.36}

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{'loss': 2.5387, 'learning_rate': 1.4788020225593155e-07, 'epoch': 8.36}

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{'loss': 2.5867, 'learning_rate': 1.478477894463892e-07, 'epoch': 8.37}

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{'loss': 2.5073, 'learning_rate': 1.4781537663684687e-07, 'epoch': 8.37}

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{'loss': 2.5671, 'learning_rate': 1.4778296382730454e-07, 'epoch': 8.38}

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{'loss': 2.5598, 'learning_rate': 1.4775055101776222e-07, 'epoch': 8.38}

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{'loss': 2.552, 'learning_rate': 1.4771813820821989e-07, 'epoch': 8.39}

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{'loss': 2.5682, 'learning_rate': 1.4768572539867755e-07, 'epoch': 8.39}

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{'loss': 2.5659, 'learning_rate': 1.476533125891352e-07, 'epoch': 8.4}

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{'loss': 2.5365, 'learning_rate': 1.476208997795929e-07, 'epoch': 8.4}

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{'loss': 2.5348, 'learning_rate': 1.4758848697005056e-07, 'epoch': 8.41}

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{'loss': 2.5808, 'learning_rate': 1.4755607416050822e-07, 'epoch': 8.42}

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{'loss': 2.5285, 'learning_rate': 1.475236613509659e-07, 'epoch': 8.42}

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{'loss': 2.5493, 'learning_rate': 1.4749124854142357e-07, 'epoch': 8.43}

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{'loss': 2.5594, 'learning_rate': 1.4745883573188123e-07, 'epoch': 8.43}

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{'loss': 2.5149, 'learning_rate': 1.474264229223389e-07, 'epoch': 8.44}

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{'loss': 2.5238, 'learning_rate': 1.4739401011279656e-07, 'epoch': 8.44}

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{'loss': 2.5444, 'learning_rate': 1.4736159730325425e-07, 'epoch': 8.45}

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{'loss': 2.5498, 'learning_rate': 1.473291844937119e-07, 'epoch': 8.45}

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{'loss': 2.5182, 'learning_rate': 1.4729677168416957e-07, 'epoch': 8.46}

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{'loss': 2.5588, 'learning_rate': 1.4726435887462726e-07, 'epoch': 8.46}

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{'loss': 2.5302, 'learning_rate': 1.4723194606508492e-07, 'epoch': 8.47}

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{'loss': 2.5296, 'learning_rate': 1.4719953325554258e-07, 'epoch': 8.47}

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{'loss': 2.5676, 'learning_rate': 1.4716712044600024e-07, 'epoch': 8.48}

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{'loss': 2.567, 'learning_rate': 1.471347076364579e-07, 'epoch': 8.48}

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{'loss': 2.5531, 'learning_rate': 1.471022948269156e-07, 'epoch': 8.49}

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{'loss': 2.6131, 'learning_rate': 1.4706988201737326e-07, 'epoch': 8.49}

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{'loss': 2.5818, 'learning_rate': 1.4703746920783092e-07, 'epoch': 8.5}

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{'loss': 2.542, 'learning_rate': 1.470050563982886e-07, 'epoch': 8.5}

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{'loss': 2.5656, 'learning_rate': 1.4697264358874627e-07, 'epoch': 8.51}

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{'loss': 2.5548, 'learning_rate': 1.4694023077920393e-07, 'epoch': 8.51}

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{'loss': 2.5295, 'learning_rate': 1.4690781796966162e-07, 'epoch': 8.52}

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{'loss': 2.4961, 'learning_rate': 1.4687540516011925e-07, 'epoch': 8.52}

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{'loss': 2.5361, 'learning_rate': 1.4684299235057694e-07, 'epoch': 8.53}

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{'loss': 2.5244, 'learning_rate': 1.468105795410346e-07, 'epoch': 8.53}

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{'loss': 2.4984, 'learning_rate': 1.4677816673149227e-07, 'epoch': 8.54}

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{'loss': 2.5107, 'learning_rate': 1.4674575392194995e-07, 'epoch': 8.54}

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{'loss': 2.6018, 'learning_rate': 1.4671334111240762e-07, 'epoch': 8.55}

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{'loss': 2.5481, 'learning_rate': 1.4668092830286528e-07, 'epoch': 8.55}

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{'loss': 2.5671, 'learning_rate': 1.4664851549332297e-07, 'epoch': 8.56}

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{'loss': 2.5587, 'learning_rate': 1.466161026837806e-07, 'epoch': 8.57}

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{'loss': 2.4905, 'learning_rate': 1.465836898742383e-07, 'epoch': 8.57}

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{'loss': 2.5159, 'learning_rate': 1.4655127706469598e-07, 'epoch': 8.58}

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{'loss': 2.5419, 'learning_rate': 1.4651886425515361e-07, 'epoch': 8.58}

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{'loss': 2.5811, 'learning_rate': 1.464864514456113e-07, 'epoch': 8.59}

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{'loss': 2.5175, 'learning_rate': 1.4645403863606896e-07, 'epoch': 8.59}

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{'loss': 2.553, 'learning_rate': 1.4642162582652663e-07, 'epoch': 8.6}

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{'loss': 2.5869, 'learning_rate': 1.4638921301698431e-07, 'epoch': 8.6}

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{'loss': 2.5046, 'learning_rate': 1.4635680020744198e-07, 'epoch': 8.61}

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{'loss': 2.5389, 'learning_rate': 1.4632438739789964e-07, 'epoch': 8.61}

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{'loss': 2.5497, 'learning_rate': 1.4629197458835733e-07, 'epoch': 8.62}

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{'loss': 2.5344, 'learning_rate': 1.4625956177881496e-07, 'epoch': 8.62}

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{'loss': 2.6, 'learning_rate': 1.4622714896927265e-07, 'epoch': 8.63}

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{'loss': 2.5658, 'learning_rate': 1.461947361597303e-07, 'epoch': 8.63}

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{'loss': 2.539, 'learning_rate': 1.4616232335018797e-07, 'epoch': 8.64}

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{'loss': 2.5898, 'learning_rate': 1.4612991054064566e-07, 'epoch': 8.64}

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{'loss': 2.4808, 'learning_rate': 1.4609749773110332e-07, 'epoch': 8.65}

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{'loss': 2.4885, 'learning_rate': 1.4606508492156099e-07, 'epoch': 8.65}

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{'loss': 2.5437, 'learning_rate': 1.4603267211201867e-07, 'epoch': 8.66}

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{'loss': 2.5715, 'learning_rate': 1.4600025930247634e-07, 'epoch': 8.66}

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{'loss': 2.5828, 'learning_rate': 1.45967846492934e-07, 'epoch': 8.67}

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{'loss': 2.4961, 'learning_rate': 1.4593543368339169e-07, 'epoch': 8.67}

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{'loss': 2.5212, 'learning_rate': 1.4590302087384932e-07, 'epoch': 8.68}

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{'loss': 2.5321, 'learning_rate': 1.45870608064307e-07, 'epoch': 8.68}

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{'loss': 2.5146, 'learning_rate': 1.4583819525476467e-07, 'epoch': 8.69}

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{'loss': 2.5531, 'learning_rate': 1.4580578244522233e-07, 'epoch': 8.69}

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{'loss': 2.4989, 'learning_rate': 1.4577336963568002e-07, 'epoch': 8.7}

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{'loss': 2.5502, 'learning_rate': 1.4574095682613768e-07, 'epoch': 8.7}

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{'loss': 2.4926, 'learning_rate': 1.4570854401659535e-07, 'epoch': 8.71}

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{'loss': 2.5462, 'learning_rate': 1.4567613120705303e-07, 'epoch': 8.71}

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{'loss': 2.5373, 'learning_rate': 1.4564371839751067e-07, 'epoch': 8.72}

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{'loss': 2.5745, 'learning_rate': 1.4561130558796836e-07, 'epoch': 8.73}

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{'loss': 2.5468, 'learning_rate': 1.4557889277842605e-07, 'epoch': 8.73}

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{'loss': 2.5654, 'learning_rate': 1.4554647996888368e-07, 'epoch': 8.74}

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{'loss': 2.5433, 'learning_rate': 1.4551406715934137e-07, 'epoch': 8.74}

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{'loss': 2.5865, 'learning_rate': 1.4548165434979903e-07, 'epoch': 8.75}

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{'loss': 2.5631, 'learning_rate': 1.454492415402567e-07, 'epoch': 8.75}

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{'loss': 2.5857, 'learning_rate': 1.4541682873071438e-07, 'epoch': 8.76}

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{'loss': 2.5168, 'learning_rate': 1.4538441592117204e-07, 'epoch': 8.76}

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{'loss': 2.5316, 'learning_rate': 1.453520031116297e-07, 'epoch': 8.77}

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{'loss': 2.5464, 'learning_rate': 1.453195903020874e-07, 'epoch': 8.77}

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{'loss': 2.5508, 'learning_rate': 1.4528717749254503e-07, 'epoch': 8.78}

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{'loss': 2.5082, 'learning_rate': 1.4525476468300272e-07, 'epoch': 8.78}

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{'loss': 2.502, 'learning_rate': 1.4522235187346038e-07, 'epoch': 8.79}

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{'loss': 2.5586, 'learning_rate': 1.4518993906391804e-07, 'epoch': 8.79}

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{'loss': 2.5555, 'learning_rate': 1.4515752625437573e-07, 'epoch': 8.8}

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{'loss': 2.5683, 'learning_rate': 1.451251134448334e-07, 'epoch': 8.8}

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{'loss': 2.5462, 'learning_rate': 1.4509270063529105e-07, 'epoch': 8.81}

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{'loss': 2.4885, 'learning_rate': 1.4506028782574874e-07, 'epoch': 8.81}

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{'loss': 2.4856, 'learning_rate': 1.450278750162064e-07, 'epoch': 8.82}

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{'loss': 2.538, 'learning_rate': 1.4499546220666407e-07, 'epoch': 8.82}

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{'loss': 2.5263, 'learning_rate': 1.4496304939712175e-07, 'epoch': 8.83}

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{'loss': 2.5397, 'learning_rate': 1.449306365875794e-07, 'epoch': 8.83}

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{'loss': 2.5295, 'learning_rate': 1.4489822377803708e-07, 'epoch': 8.84}

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{'loss': 2.5853, 'learning_rate': 1.4486581096849474e-07, 'epoch': 8.84}

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{'loss': 2.5566, 'learning_rate': 1.448333981589524e-07, 'epoch': 8.85}

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{'loss': 2.5319, 'learning_rate': 1.448009853494101e-07, 'epoch': 8.85}

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{'loss': 2.4863, 'learning_rate': 1.4476857253986775e-07, 'epoch': 8.86}

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{'loss': 2.5584, 'learning_rate': 1.4473615973032541e-07, 'epoch': 8.86}

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{'loss': 2.5321, 'learning_rate': 1.447037469207831e-07, 'epoch': 8.87}

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{'loss': 2.5304, 'learning_rate': 1.4467133411124074e-07, 'epoch': 8.88}

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{'loss': 2.5564, 'learning_rate': 1.4463892130169843e-07, 'epoch': 8.88}

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{'loss': 2.5027, 'learning_rate': 1.4460650849215611e-07, 'epoch': 8.89}

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{'loss': 2.4922, 'learning_rate': 1.4457409568261375e-07, 'epoch': 8.89}

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{'loss': 2.5166, 'learning_rate': 1.4454168287307144e-07, 'epoch': 8.9}

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{'loss': 2.527, 'learning_rate': 1.445092700635291e-07, 'epoch': 8.9}

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{'loss': 2.5665, 'learning_rate': 1.4447685725398676e-07, 'epoch': 8.91}

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{'loss': 2.5615, 'learning_rate': 1.4444444444444445e-07, 'epoch': 8.91}

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{'loss': 2.4899, 'learning_rate': 1.444120316349021e-07, 'epoch': 8.92}

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{'loss': 2.5012, 'learning_rate': 1.4437961882535977e-07, 'epoch': 8.92}

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{'loss': 2.5526, 'learning_rate': 1.4434720601581746e-07, 'epoch': 8.93}

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{'loss': 2.5167, 'learning_rate': 1.443147932062751e-07, 'epoch': 8.93}

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{'loss': 2.5177, 'learning_rate': 1.4428238039673279e-07, 'epoch': 8.94}

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{'loss': 2.5548, 'learning_rate': 1.4424996758719045e-07, 'epoch': 8.94}

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{'loss': 2.5742, 'learning_rate': 1.442175547776481e-07, 'epoch': 8.95}

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{'loss': 2.5149, 'learning_rate': 1.441851419681058e-07, 'epoch': 8.95}

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{'loss': 2.5042, 'learning_rate': 1.4415272915856346e-07, 'epoch': 8.96}

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{'loss': 2.5076, 'learning_rate': 1.4412031634902112e-07, 'epoch': 8.96}

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{'loss': 2.5282, 'learning_rate': 1.440879035394788e-07, 'epoch': 8.97}

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{'loss': 2.5373, 'learning_rate': 1.4405549072993647e-07, 'epoch': 8.97}

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{'loss': 2.5556, 'learning_rate': 1.4402307792039413e-07, 'epoch': 8.98}

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{'loss': 2.5413, 'learning_rate': 1.4399066511085182e-07, 'epoch': 8.98}

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{'loss': 2.5563, 'learning_rate': 1.4395825230130946e-07, 'epoch': 8.99}

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{'loss': 2.5267, 'learning_rate': 1.4392583949176715e-07, 'epoch': 8.99}

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{'loss': 2.5622, 'learning_rate': 1.438934266822248e-07, 'epoch': 9.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [12:13<00:00,  1.13it/s]{'score': 10.235285636672579, 'counts': [17175, 7590, 3753, 1863], 'totals': [56300, 54578, 52856, 51134], 'precisions': [30.50621669626998, 13.906702334273882, 7.1004237929468745, 3.643368404584034], 'bp': 1.0, 'sys_len': 56300, 'ref_len': 32555}

                                                          

                                                 
{'eval_loss': 2.504971742630005, 'eval_bleu': 10.2353, 'eval_gen_len': 38.2607, 'eval_runtime': 830.1656, 'eval_samples_per_second': 2.074, 'eval_steps_per_second': 1.037, 'epoch': 9.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 10:10:15,440 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.5627, 'learning_rate': 1.4386101387268247e-07, 'epoch': 9.0}

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{'loss': 2.538, 'learning_rate': 1.4382860106314016e-07, 'epoch': 9.01}

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{'loss': 2.5561, 'learning_rate': 1.4379618825359782e-07, 'epoch': 9.01}

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{'loss': 2.5216, 'learning_rate': 1.4376377544405548e-07, 'epoch': 9.02}

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{'loss': 2.4699, 'learning_rate': 1.4373136263451317e-07, 'epoch': 9.03}

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{'loss': 2.5566, 'learning_rate': 1.436989498249708e-07, 'epoch': 9.03}

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{'loss': 2.4698, 'learning_rate': 1.436665370154285e-07, 'epoch': 9.04}

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{'loss': 2.4995, 'learning_rate': 1.4363412420588616e-07, 'epoch': 9.04}

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{'loss': 2.522, 'learning_rate': 1.4360171139634382e-07, 'epoch': 9.05}

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{'loss': 2.5507, 'learning_rate': 1.435692985868015e-07, 'epoch': 9.05}

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{'loss': 2.4685, 'learning_rate': 1.4353688577725917e-07, 'epoch': 9.06}

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{'loss': 2.4728, 'learning_rate': 1.4350447296771683e-07, 'epoch': 9.06}

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{'loss': 2.6299, 'learning_rate': 1.4347206015817452e-07, 'epoch': 9.07}

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{'loss': 2.5499, 'learning_rate': 1.4343964734863218e-07, 'epoch': 9.07}

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{'loss': 2.5478, 'learning_rate': 1.4340723453908984e-07, 'epoch': 9.08}

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{'loss': 2.4566, 'learning_rate': 1.433748217295475e-07, 'epoch': 9.08}

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{'loss': 2.4931, 'learning_rate': 1.4334240892000516e-07, 'epoch': 9.09}

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{'loss': 2.5343, 'learning_rate': 1.4330999611046285e-07, 'epoch': 9.09}

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{'loss': 2.5651, 'learning_rate': 1.4327758330092052e-07, 'epoch': 9.1}

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{'loss': 2.5226, 'learning_rate': 1.4324517049137818e-07, 'epoch': 9.1}

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{'loss': 2.5504, 'learning_rate': 1.4321275768183587e-07, 'epoch': 9.11}

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{'loss': 2.5127, 'learning_rate': 1.4318034487229353e-07, 'epoch': 9.11}

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{'loss': 2.4964, 'learning_rate': 1.431479320627512e-07, 'epoch': 9.12}

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{'loss': 2.5396, 'learning_rate': 1.4311551925320885e-07, 'epoch': 9.12}

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{'loss': 2.5303, 'learning_rate': 1.4308310644366654e-07, 'epoch': 9.13}

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{'loss': 2.5574, 'learning_rate': 1.430506936341242e-07, 'epoch': 9.13}

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{'loss': 2.5649, 'learning_rate': 1.4301828082458186e-07, 'epoch': 9.14}

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{'loss': 2.5113, 'learning_rate': 1.4298586801503952e-07, 'epoch': 9.14}

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{'loss': 2.4826, 'learning_rate': 1.429534552054972e-07, 'epoch': 9.15}

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{'loss': 2.5148, 'learning_rate': 1.4292104239595488e-07, 'epoch': 9.15}

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{'loss': 2.5568, 'learning_rate': 1.4288862958641254e-07, 'epoch': 9.16}

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{'loss': 2.5475, 'learning_rate': 1.428562167768702e-07, 'epoch': 9.16}

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{'loss': 2.5335, 'learning_rate': 1.428238039673279e-07, 'epoch': 9.17}

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{'loss': 2.494, 'learning_rate': 1.4279139115778555e-07, 'epoch': 9.17}

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{'loss': 2.5568, 'learning_rate': 1.427589783482432e-07, 'epoch': 9.18}

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{'loss': 2.5425, 'learning_rate': 1.4272656553870087e-07, 'epoch': 9.19}

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{'loss': 2.5672, 'learning_rate': 1.4269415272915856e-07, 'epoch': 9.19}

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{'loss': 2.5532, 'learning_rate': 1.4266173991961622e-07, 'epoch': 9.2}

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{'loss': 2.4934, 'learning_rate': 1.4262932711007388e-07, 'epoch': 9.2}

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{'loss': 2.5009, 'learning_rate': 1.4259691430053157e-07, 'epoch': 9.21}

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{'loss': 2.4935, 'learning_rate': 1.4256450149098924e-07, 'epoch': 9.21}

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{'loss': 2.5217, 'learning_rate': 1.425320886814469e-07, 'epoch': 9.22}

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{'loss': 2.5246, 'learning_rate': 1.4249967587190456e-07, 'epoch': 9.22}

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{'loss': 2.4851, 'learning_rate': 1.4246726306236225e-07, 'epoch': 9.23}

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{'loss': 2.585, 'learning_rate': 1.424348502528199e-07, 'epoch': 9.23}

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{'loss': 2.5602, 'learning_rate': 1.4240243744327757e-07, 'epoch': 9.24}

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{'loss': 2.4916, 'learning_rate': 1.4237002463373523e-07, 'epoch': 9.24}

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{'loss': 2.584, 'learning_rate': 1.4233761182419292e-07, 'epoch': 9.25}

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{'loss': 2.5671, 'learning_rate': 1.4230519901465058e-07, 'epoch': 9.25}

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{'loss': 2.5741, 'learning_rate': 1.4227278620510824e-07, 'epoch': 9.26}

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{'loss': 2.544, 'learning_rate': 1.422403733955659e-07, 'epoch': 9.26}

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{'loss': 2.5616, 'learning_rate': 1.422079605860236e-07, 'epoch': 9.27}

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{'loss': 2.5236, 'learning_rate': 1.4217554777648126e-07, 'epoch': 9.27}

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{'loss': 2.4909, 'learning_rate': 1.4214313496693892e-07, 'epoch': 9.28}

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{'loss': 2.514, 'learning_rate': 1.421107221573966e-07, 'epoch': 9.28}

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{'loss': 2.6055, 'learning_rate': 1.4207830934785427e-07, 'epoch': 9.29}

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{'loss': 2.5403, 'learning_rate': 1.4204589653831193e-07, 'epoch': 9.29}

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{'loss': 2.4817, 'learning_rate': 1.420134837287696e-07, 'epoch': 9.3}

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{'loss': 2.4968, 'learning_rate': 1.4198107091922728e-07, 'epoch': 9.3}

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{'loss': 2.5205, 'learning_rate': 1.4194865810968494e-07, 'epoch': 9.31}

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{'loss': 2.4925, 'learning_rate': 1.419162453001426e-07, 'epoch': 9.31}

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{'loss': 2.4745, 'learning_rate': 1.4188383249060027e-07, 'epoch': 9.32}

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{'loss': 2.5256, 'learning_rate': 1.4185141968105795e-07, 'epoch': 9.32}

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{'loss': 2.5286, 'learning_rate': 1.4181900687151562e-07, 'epoch': 9.33}

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{'loss': 2.5655, 'learning_rate': 1.4178659406197328e-07, 'epoch': 9.34}

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{'loss': 2.5093, 'learning_rate': 1.4175418125243094e-07, 'epoch': 9.34}

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{'loss': 2.5257, 'learning_rate': 1.4172176844288863e-07, 'epoch': 9.35}

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{'loss': 2.5267, 'learning_rate': 1.416893556333463e-07, 'epoch': 9.35}

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{'loss': 2.4716, 'learning_rate': 1.4165694282380395e-07, 'epoch': 9.36}

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{'loss': 2.5255, 'learning_rate': 1.4162453001426164e-07, 'epoch': 9.36}

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{'loss': 2.5087, 'learning_rate': 1.415921172047193e-07, 'epoch': 9.37}

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{'loss': 2.5494, 'learning_rate': 1.4155970439517696e-07, 'epoch': 9.37}

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{'loss': 2.5466, 'learning_rate': 1.4152729158563463e-07, 'epoch': 9.38}

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{'loss': 2.4686, 'learning_rate': 1.4149487877609231e-07, 'epoch': 9.38}

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{'loss': 2.5361, 'learning_rate': 1.4146246596654998e-07, 'epoch': 9.39}

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{'loss': 2.4786, 'learning_rate': 1.4143005315700764e-07, 'epoch': 9.39}

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{'loss': 2.5012, 'learning_rate': 1.413976403474653e-07, 'epoch': 9.4}

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{'loss': 2.5728, 'learning_rate': 1.41365227537923e-07, 'epoch': 9.4}

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{'loss': 2.513, 'learning_rate': 1.4133281472838065e-07, 'epoch': 9.41}

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{'loss': 2.5833, 'learning_rate': 1.413004019188383e-07, 'epoch': 9.41}

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{'loss': 2.5436, 'learning_rate': 1.4126798910929597e-07, 'epoch': 9.42}

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{'loss': 2.5017, 'learning_rate': 1.4123557629975366e-07, 'epoch': 9.42}

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{'loss': 2.4708, 'learning_rate': 1.4120316349021132e-07, 'epoch': 9.43}

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{'loss': 2.5594, 'learning_rate': 1.4117075068066899e-07, 'epoch': 9.43}

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{'loss': 2.5095, 'learning_rate': 1.4113833787112667e-07, 'epoch': 9.44}

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{'loss': 2.5153, 'learning_rate': 1.4110592506158434e-07, 'epoch': 9.44}

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{'loss': 2.4579, 'learning_rate': 1.41073512252042e-07, 'epoch': 9.45}

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{'loss': 2.5145, 'learning_rate': 1.4104109944249966e-07, 'epoch': 9.45}

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{'loss': 2.5117, 'learning_rate': 1.4100868663295735e-07, 'epoch': 9.46}

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{'loss': 2.571, 'learning_rate': 1.40976273823415e-07, 'epoch': 9.46}

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{'loss': 2.5494, 'learning_rate': 1.4094386101387267e-07, 'epoch': 9.47}

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{'loss': 2.4598, 'learning_rate': 1.4091144820433033e-07, 'epoch': 9.47}

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{'loss': 2.5034, 'learning_rate': 1.4087903539478802e-07, 'epoch': 9.48}

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{'loss': 2.5229, 'learning_rate': 1.4084662258524568e-07, 'epoch': 9.49}

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{'loss': 2.5249, 'learning_rate': 1.4081420977570335e-07, 'epoch': 9.49}

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{'loss': 2.4883, 'learning_rate': 1.40781796966161e-07, 'epoch': 9.5}

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{'loss': 2.5082, 'learning_rate': 1.407493841566187e-07, 'epoch': 9.5}

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{'loss': 2.5209, 'learning_rate': 1.4071697134707636e-07, 'epoch': 9.51}

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{'loss': 2.5263, 'learning_rate': 1.4068455853753402e-07, 'epoch': 9.51}

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{'loss': 2.4904, 'learning_rate': 1.406521457279917e-07, 'epoch': 9.52}

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{'loss': 2.511, 'learning_rate': 1.4061973291844937e-07, 'epoch': 9.52}

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{'loss': 2.4821, 'learning_rate': 1.4058732010890703e-07, 'epoch': 9.53}

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{'loss': 2.5053, 'learning_rate': 1.405549072993647e-07, 'epoch': 9.53}

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{'loss': 2.518, 'learning_rate': 1.4052249448982238e-07, 'epoch': 9.54}

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{'loss': 2.4693, 'learning_rate': 1.4049008168028004e-07, 'epoch': 9.54}

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{'loss': 2.5722, 'learning_rate': 1.404576688707377e-07, 'epoch': 9.55}

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{'loss': 2.4733, 'learning_rate': 1.4042525606119537e-07, 'epoch': 9.55}

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{'loss': 2.5035, 'learning_rate': 1.4039284325165306e-07, 'epoch': 9.56}

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{'loss': 2.5271, 'learning_rate': 1.4036043044211072e-07, 'epoch': 9.56}

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{'loss': 2.5335, 'learning_rate': 1.4032801763256838e-07, 'epoch': 9.57}

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{'loss': 2.4517, 'learning_rate': 1.4029560482302604e-07, 'epoch': 9.57}

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{'loss': 2.5086, 'learning_rate': 1.4026319201348373e-07, 'epoch': 9.58}

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{'loss': 2.5409, 'learning_rate': 1.402307792039414e-07, 'epoch': 9.58}

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{'loss': 2.512, 'learning_rate': 1.4019836639439905e-07, 'epoch': 9.59}

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{'loss': 2.5074, 'learning_rate': 1.4016595358485674e-07, 'epoch': 9.59}

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{'loss': 2.5078, 'learning_rate': 1.401335407753144e-07, 'epoch': 9.6}

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{'loss': 2.5574, 'learning_rate': 1.4010112796577207e-07, 'epoch': 9.6}

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{'loss': 2.5459, 'learning_rate': 1.4006871515622973e-07, 'epoch': 9.61}

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{'loss': 2.4473, 'learning_rate': 1.4003630234668742e-07, 'epoch': 9.61}

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{'loss': 2.5423, 'learning_rate': 1.4000388953714508e-07, 'epoch': 9.62}

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{'loss': 2.4988, 'learning_rate': 1.3997147672760274e-07, 'epoch': 9.62}

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{'loss': 2.6236, 'learning_rate': 1.399390639180604e-07, 'epoch': 9.63}

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{'loss': 2.5718, 'learning_rate': 1.399066511085181e-07, 'epoch': 9.63}

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{'loss': 2.5012, 'learning_rate': 1.3987423829897575e-07, 'epoch': 9.64}

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{'loss': 2.5536, 'learning_rate': 1.3984182548943341e-07, 'epoch': 9.65}

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{'loss': 2.5416, 'learning_rate': 1.3980941267989108e-07, 'epoch': 9.65}

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{'loss': 2.4864, 'learning_rate': 1.3977699987034876e-07, 'epoch': 9.66}

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{'loss': 2.5365, 'learning_rate': 1.3974458706080643e-07, 'epoch': 9.66}

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{'loss': 2.5111, 'learning_rate': 1.397121742512641e-07, 'epoch': 9.67}

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{'loss': 2.4737, 'learning_rate': 1.3967976144172178e-07, 'epoch': 9.67}

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{'loss': 2.5373, 'learning_rate': 1.3964734863217944e-07, 'epoch': 9.68}

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{'loss': 2.4991, 'learning_rate': 1.396149358226371e-07, 'epoch': 9.68}

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{'loss': 2.5186, 'learning_rate': 1.3958252301309476e-07, 'epoch': 9.69}

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{'loss': 2.4701, 'learning_rate': 1.3955011020355242e-07, 'epoch': 9.69}

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{'loss': 2.5169, 'learning_rate': 1.395176973940101e-07, 'epoch': 9.7}

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{'loss': 2.4691, 'learning_rate': 1.3948528458446777e-07, 'epoch': 9.7}

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{'loss': 2.5278, 'learning_rate': 1.3945287177492544e-07, 'epoch': 9.71}

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{'loss': 2.4778, 'learning_rate': 1.3942045896538312e-07, 'epoch': 9.71}

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{'loss': 2.5367, 'learning_rate': 1.3938804615584079e-07, 'epoch': 9.72}

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{'loss': 2.5249, 'learning_rate': 1.3935563334629845e-07, 'epoch': 9.72}

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{'loss': 2.503, 'learning_rate': 1.393232205367561e-07, 'epoch': 9.73}

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{'loss': 2.514, 'learning_rate': 1.3929080772721377e-07, 'epoch': 9.73}

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{'loss': 2.5158, 'learning_rate': 1.3925839491767146e-07, 'epoch': 9.74}

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{'loss': 2.527, 'learning_rate': 1.3922598210812912e-07, 'epoch': 9.74}

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{'loss': 2.5435, 'learning_rate': 1.3919356929858678e-07, 'epoch': 9.75}

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{'loss': 2.5464, 'learning_rate': 1.3916115648904447e-07, 'epoch': 9.75}

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{'loss': 2.5952, 'learning_rate': 1.3912874367950213e-07, 'epoch': 9.76}

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{'loss': 2.5066, 'learning_rate': 1.390963308699598e-07, 'epoch': 9.76}

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{'loss': 2.4973, 'learning_rate': 1.3906391806041748e-07, 'epoch': 9.77}

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{'loss': 2.5344, 'learning_rate': 1.3903150525087512e-07, 'epoch': 9.77}

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{'loss': 2.4959, 'learning_rate': 1.389990924413328e-07, 'epoch': 9.78}

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{'loss': 2.5006, 'learning_rate': 1.3896667963179047e-07, 'epoch': 9.78}

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{'loss': 2.5334, 'learning_rate': 1.3893426682224813e-07, 'epoch': 9.79}

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{'loss': 2.5255, 'learning_rate': 1.3890185401270582e-07, 'epoch': 9.8}

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{'loss': 2.5221, 'learning_rate': 1.3886944120316348e-07, 'epoch': 9.8}

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{'loss': 2.5832, 'learning_rate': 1.3883702839362114e-07, 'epoch': 9.81}

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{'loss': 2.5268, 'learning_rate': 1.3880461558407883e-07, 'epoch': 9.81}

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{'loss': 2.6145, 'learning_rate': 1.387722027745365e-07, 'epoch': 9.82}

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{'loss': 2.5483, 'learning_rate': 1.3873978996499416e-07, 'epoch': 9.82}

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{'loss': 2.4529, 'learning_rate': 1.3870737715545184e-07, 'epoch': 9.83}

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{'loss': 2.5547, 'learning_rate': 1.3867496434590948e-07, 'epoch': 9.83}

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{'loss': 2.4675, 'learning_rate': 1.3864255153636717e-07, 'epoch': 9.84}

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{'loss': 2.4782, 'learning_rate': 1.3861013872682483e-07, 'epoch': 9.84}

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{'loss': 2.527, 'learning_rate': 1.385777259172825e-07, 'epoch': 9.85}

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{'loss': 2.5285, 'learning_rate': 1.3854531310774018e-07, 'epoch': 9.85}

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{'loss': 2.5057, 'learning_rate': 1.3851290029819784e-07, 'epoch': 9.86}

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{'loss': 2.4832, 'learning_rate': 1.384804874886555e-07, 'epoch': 9.86}

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{'loss': 2.4826, 'learning_rate': 1.384480746791132e-07, 'epoch': 9.87}

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{'loss': 2.4912, 'learning_rate': 1.3841566186957083e-07, 'epoch': 9.87}

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{'loss': 2.5356, 'learning_rate': 1.3838324906002852e-07, 'epoch': 9.88}

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{'loss': 2.4311, 'learning_rate': 1.3835083625048618e-07, 'epoch': 9.88}

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{'loss': 2.4831, 'learning_rate': 1.3831842344094384e-07, 'epoch': 9.89}

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{'loss': 2.4975, 'learning_rate': 1.3828601063140153e-07, 'epoch': 9.89}

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{'loss': 2.5113, 'learning_rate': 1.382535978218592e-07, 'epoch': 9.9}

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{'loss': 2.4731, 'learning_rate': 1.3822118501231685e-07, 'epoch': 9.9}

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{'loss': 2.5272, 'learning_rate': 1.3818877220277454e-07, 'epoch': 9.91}

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{'loss': 2.5113, 'learning_rate': 1.381563593932322e-07, 'epoch': 9.91}

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{'loss': 2.5481, 'learning_rate': 1.3812394658368986e-07, 'epoch': 9.92}

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{'loss': 2.4876, 'learning_rate': 1.3809153377414755e-07, 'epoch': 9.92}

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{'loss': 2.4875, 'learning_rate': 1.380591209646052e-07, 'epoch': 9.93}

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{'loss': 2.4732, 'learning_rate': 1.3802670815506288e-07, 'epoch': 9.93}

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{'loss': 2.5036, 'learning_rate': 1.3799429534552054e-07, 'epoch': 9.94}

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{'loss': 2.4979, 'learning_rate': 1.379618825359782e-07, 'epoch': 9.95}

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{'loss': 2.4916, 'learning_rate': 1.379294697264359e-07, 'epoch': 9.95}

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{'loss': 2.4518, 'learning_rate': 1.3789705691689355e-07, 'epoch': 9.96}

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{'loss': 2.4727, 'learning_rate': 1.378646441073512e-07, 'epoch': 9.96}

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{'loss': 2.5166, 'learning_rate': 1.378322312978089e-07, 'epoch': 9.97}

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{'loss': 2.5162, 'learning_rate': 1.3779981848826656e-07, 'epoch': 9.97}

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{'loss': 2.4999, 'learning_rate': 1.3776740567872422e-07, 'epoch': 9.98}

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{'loss': 2.4778, 'learning_rate': 1.377349928691819e-07, 'epoch': 9.98}

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{'loss': 2.4741, 'learning_rate': 1.3770258005963955e-07, 'epoch': 9.99}

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{'loss': 2.5227, 'learning_rate': 1.3767016725009724e-07, 'epoch': 9.99}

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{'loss': 2.537, 'learning_rate': 1.376377544405549e-07, 'epoch': 10.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [11:34<00:00,  1.18it/s]{'score': 11.336391829370177, 'counts': [17167, 7630, 3747, 1842], 'totals': [50991, 49269, 47547, 45825], 'precisions': [33.666725500578536, 15.486411333698674, 7.880623383178749, 4.019639934533552], 'bp': 1.0, 'sys_len': 50991, 'ref_len': 32555}

                                                         

                                                 
{'eval_loss': 2.484008550643921, 'eval_bleu': 11.3364, 'eval_gen_len': 36.0732, 'eval_runtime': 789.2845, 'eval_samples_per_second': 2.182, 'eval_steps_per_second': 1.091, 'epoch': 10.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 11:53:21,330 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.5408, 'learning_rate': 1.3760534163101256e-07, 'epoch': 10.0}

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{'loss': 2.4924, 'learning_rate': 1.3757292882147025e-07, 'epoch': 10.01}

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{'loss': 2.52, 'learning_rate': 1.375405160119279e-07, 'epoch': 10.01}

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{'loss': 2.5339, 'learning_rate': 1.3750810320238557e-07, 'epoch': 10.02}

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{'loss': 2.5327, 'learning_rate': 1.3747569039284326e-07, 'epoch': 10.02}

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{'loss': 2.5167, 'learning_rate': 1.374432775833009e-07, 'epoch': 10.03}

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{'loss': 2.5154, 'learning_rate': 1.3741086477375858e-07, 'epoch': 10.03}

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{'loss': 2.5168, 'learning_rate': 1.3737845196421627e-07, 'epoch': 10.04}

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{'loss': 2.4779, 'learning_rate': 1.373460391546739e-07, 'epoch': 10.04}

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{'loss': 2.5209, 'learning_rate': 1.373136263451316e-07, 'epoch': 10.05}

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{'loss': 2.4875, 'learning_rate': 1.3728121353558926e-07, 'epoch': 10.05}

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{'loss': 2.5194, 'learning_rate': 1.3724880072604692e-07, 'epoch': 10.06}

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{'loss': 2.4991, 'learning_rate': 1.372163879165046e-07, 'epoch': 10.06}

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{'loss': 2.5147, 'learning_rate': 1.3718397510696227e-07, 'epoch': 10.07}

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{'loss': 2.4794, 'learning_rate': 1.3715156229741993e-07, 'epoch': 10.07}

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{'loss': 2.4668, 'learning_rate': 1.3711914948787762e-07, 'epoch': 10.08}

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{'loss': 2.5251, 'learning_rate': 1.3708673667833526e-07, 'epoch': 10.08}

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{'loss': 2.4874, 'learning_rate': 1.3705432386879294e-07, 'epoch': 10.09}

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{'loss': 2.4905, 'learning_rate': 1.370219110592506e-07, 'epoch': 10.09}

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{'loss': 2.4804, 'learning_rate': 1.3698949824970827e-07, 'epoch': 10.1}

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{'loss': 2.5468, 'learning_rate': 1.3695708544016596e-07, 'epoch': 10.11}

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{'loss': 2.5491, 'learning_rate': 1.3692467263062362e-07, 'epoch': 10.11}

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{'loss': 2.5402, 'learning_rate': 1.3689225982108128e-07, 'epoch': 10.12}

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{'loss': 2.5212, 'learning_rate': 1.3685984701153897e-07, 'epoch': 10.12}

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{'loss': 2.5319, 'learning_rate': 1.3682743420199663e-07, 'epoch': 10.13}

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{'loss': 2.5122, 'learning_rate': 1.367950213924543e-07, 'epoch': 10.13}

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{'loss': 2.4812, 'learning_rate': 1.3676260858291198e-07, 'epoch': 10.14}

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{'loss': 2.4736, 'learning_rate': 1.3673019577336962e-07, 'epoch': 10.14}

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{'loss': 2.5039, 'learning_rate': 1.366977829638273e-07, 'epoch': 10.15}

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{'loss': 2.5056, 'learning_rate': 1.3666537015428497e-07, 'epoch': 10.15}

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{'loss': 2.466, 'learning_rate': 1.3663295734474263e-07, 'epoch': 10.16}

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{'loss': 2.5139, 'learning_rate': 1.3660054453520032e-07, 'epoch': 10.16}

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{'loss': 2.5191, 'learning_rate': 1.3656813172565798e-07, 'epoch': 10.17}

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{'loss': 2.4819, 'learning_rate': 1.3653571891611564e-07, 'epoch': 10.17}

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{'loss': 2.5323, 'learning_rate': 1.3650330610657333e-07, 'epoch': 10.18}

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{'loss': 2.5246, 'learning_rate': 1.3647089329703096e-07, 'epoch': 10.18}

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{'loss': 2.5273, 'learning_rate': 1.3643848048748865e-07, 'epoch': 10.19}

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{'loss': 2.5152, 'learning_rate': 1.3640606767794634e-07, 'epoch': 10.19}

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{'loss': 2.4803, 'learning_rate': 1.3637365486840398e-07, 'epoch': 10.2}

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{'loss': 2.5461, 'learning_rate': 1.3634124205886166e-07, 'epoch': 10.2}

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{'loss': 2.4822, 'learning_rate': 1.3630882924931933e-07, 'epoch': 10.21}

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{'loss': 2.4596, 'learning_rate': 1.36276416439777e-07, 'epoch': 10.21}

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{'loss': 2.5056, 'learning_rate': 1.3624400363023468e-07, 'epoch': 10.22}

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{'loss': 2.4555, 'learning_rate': 1.3621159082069234e-07, 'epoch': 10.22}

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{'loss': 2.4697, 'learning_rate': 1.3617917801115e-07, 'epoch': 10.23}

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{'loss': 2.4801, 'learning_rate': 1.361467652016077e-07, 'epoch': 10.23}

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{'loss': 2.4626, 'learning_rate': 1.3611435239206532e-07, 'epoch': 10.24}

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{'loss': 2.5236, 'learning_rate': 1.36081939582523e-07, 'epoch': 10.24}

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{'loss': 2.5419, 'learning_rate': 1.3604952677298067e-07, 'epoch': 10.25}

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{'loss': 2.4959, 'learning_rate': 1.3601711396343834e-07, 'epoch': 10.26}

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{'loss': 2.4739, 'learning_rate': 1.3598470115389602e-07, 'epoch': 10.26}

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{'loss': 2.4769, 'learning_rate': 1.3595228834435369e-07, 'epoch': 10.27}

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{'loss': 2.5387, 'learning_rate': 1.3591987553481135e-07, 'epoch': 10.27}

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{'loss': 2.5344, 'learning_rate': 1.3588746272526904e-07, 'epoch': 10.28}

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{'loss': 2.4916, 'learning_rate': 1.358550499157267e-07, 'epoch': 10.28}

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{'loss': 2.5628, 'learning_rate': 1.3582263710618436e-07, 'epoch': 10.29}

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{'loss': 2.4589, 'learning_rate': 1.3579022429664202e-07, 'epoch': 10.29}

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{'loss': 2.4817, 'learning_rate': 1.3575781148709968e-07, 'epoch': 10.3}

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{'loss': 2.4566, 'learning_rate': 1.3572539867755737e-07, 'epoch': 10.3}

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{'loss': 2.4757, 'learning_rate': 1.3569298586801503e-07, 'epoch': 10.31}

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{'loss': 2.5228, 'learning_rate': 1.356605730584727e-07, 'epoch': 10.31}

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{'loss': 2.4722, 'learning_rate': 1.3562816024893038e-07, 'epoch': 10.32}

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{'loss': 2.5052, 'learning_rate': 1.3559574743938805e-07, 'epoch': 10.32}

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{'loss': 2.5583, 'learning_rate': 1.355633346298457e-07, 'epoch': 10.33}

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{'loss': 2.574, 'learning_rate': 1.3553092182030337e-07, 'epoch': 10.33}

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{'loss': 2.463, 'learning_rate': 1.3549850901076103e-07, 'epoch': 10.34}

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{'loss': 2.5599, 'learning_rate': 1.3546609620121872e-07, 'epoch': 10.34}

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{'loss': 2.4874, 'learning_rate': 1.3543368339167638e-07, 'epoch': 10.35}

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{'loss': 2.5243, 'learning_rate': 1.3540127058213404e-07, 'epoch': 10.35}

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{'loss': 2.5719, 'learning_rate': 1.3536885777259173e-07, 'epoch': 10.36}

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{'loss': 2.5063, 'learning_rate': 1.353364449630494e-07, 'epoch': 10.36}

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{'loss': 2.5061, 'learning_rate': 1.3530403215350706e-07, 'epoch': 10.37}

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{'loss': 2.5247, 'learning_rate': 1.3527161934396472e-07, 'epoch': 10.37}

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{'loss': 2.5326, 'learning_rate': 1.352392065344224e-07, 'epoch': 10.38}

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{'loss': 2.4673, 'learning_rate': 1.3520679372488007e-07, 'epoch': 10.38}

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{'loss': 2.5202, 'learning_rate': 1.3517438091533773e-07, 'epoch': 10.39}

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{'loss': 2.5418, 'learning_rate': 1.351419681057954e-07, 'epoch': 10.39}

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{'loss': 2.5496, 'learning_rate': 1.3510955529625308e-07, 'epoch': 10.4}

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{'loss': 2.4906, 'learning_rate': 1.3507714248671074e-07, 'epoch': 10.41}

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{'loss': 2.4612, 'learning_rate': 1.350447296771684e-07, 'epoch': 10.41}

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{'loss': 2.532, 'learning_rate': 1.350123168676261e-07, 'epoch': 10.42}

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{'loss': 2.5381, 'learning_rate': 1.3497990405808375e-07, 'epoch': 10.42}

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{'loss': 2.5019, 'learning_rate': 1.3494749124854142e-07, 'epoch': 10.43}

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{'loss': 2.5207, 'learning_rate': 1.3491507843899908e-07, 'epoch': 10.43}

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{'loss': 2.448, 'learning_rate': 1.3488266562945677e-07, 'epoch': 10.44}

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{'loss': 2.5246, 'learning_rate': 1.3485025281991443e-07, 'epoch': 10.44}

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{'loss': 2.4495, 'learning_rate': 1.348178400103721e-07, 'epoch': 10.45}

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{'loss': 2.4627, 'learning_rate': 1.3478542720082975e-07, 'epoch': 10.45}

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{'loss': 2.5126, 'learning_rate': 1.3475301439128744e-07, 'epoch': 10.46}

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{'loss': 2.495, 'learning_rate': 1.347206015817451e-07, 'epoch': 10.46}

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{'loss': 2.4622, 'learning_rate': 1.3468818877220276e-07, 'epoch': 10.47}

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{'loss': 2.4563, 'learning_rate': 1.3465577596266042e-07, 'epoch': 10.47}

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{'loss': 2.4914, 'learning_rate': 1.346233631531181e-07, 'epoch': 10.48}

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{'loss': 2.4713, 'learning_rate': 1.3459095034357578e-07, 'epoch': 10.48}

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{'loss': 2.5095, 'learning_rate': 1.3455853753403344e-07, 'epoch': 10.49}

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{'loss': 2.4388, 'learning_rate': 1.345261247244911e-07, 'epoch': 10.49}

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{'loss': 2.4586, 'learning_rate': 1.344937119149488e-07, 'epoch': 10.5}

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{'loss': 2.5204, 'learning_rate': 1.3446129910540645e-07, 'epoch': 10.5}

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{'loss': 2.4764, 'learning_rate': 1.344288862958641e-07, 'epoch': 10.51}

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{'loss': 2.488, 'learning_rate': 1.343964734863218e-07, 'epoch': 10.51}

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{'loss': 2.4388, 'learning_rate': 1.3436406067677946e-07, 'epoch': 10.52}

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{'loss': 2.4774, 'learning_rate': 1.3433164786723712e-07, 'epoch': 10.52}

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{'loss': 2.4792, 'learning_rate': 1.3429923505769478e-07, 'epoch': 10.53}

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{'loss': 2.5371, 'learning_rate': 1.3426682224815247e-07, 'epoch': 10.53}

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{'loss': 2.535, 'learning_rate': 1.3423440943861014e-07, 'epoch': 10.54}

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{'loss': 2.4623, 'learning_rate': 1.342019966290678e-07, 'epoch': 10.54}

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{'loss': 2.486, 'learning_rate': 1.3416958381952546e-07, 'epoch': 10.55}

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{'loss': 2.4897, 'learning_rate': 1.3413717100998315e-07, 'epoch': 10.55}

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{'loss': 2.4724, 'learning_rate': 1.341047582004408e-07, 'epoch': 10.56}

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{'loss': 2.5475, 'learning_rate': 1.3407234539089847e-07, 'epoch': 10.57}

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{'loss': 2.4833, 'learning_rate': 1.3403993258135613e-07, 'epoch': 10.57}

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{'loss': 2.5235, 'learning_rate': 1.3400751977181382e-07, 'epoch': 10.58}

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{'loss': 2.532, 'learning_rate': 1.3397510696227148e-07, 'epoch': 10.58}

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{'loss': 2.4637, 'learning_rate': 1.3394269415272914e-07, 'epoch': 10.59}

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{'loss': 2.4437, 'learning_rate': 1.3391028134318683e-07, 'epoch': 10.59}

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{'loss': 2.4961, 'learning_rate': 1.338778685336445e-07, 'epoch': 10.6}

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{'loss': 2.5044, 'learning_rate': 1.3384545572410216e-07, 'epoch': 10.6}

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{'loss': 2.5231, 'learning_rate': 1.3381304291455982e-07, 'epoch': 10.61}

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{'loss': 2.5024, 'learning_rate': 1.337806301050175e-07, 'epoch': 10.61}

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{'loss': 2.4805, 'learning_rate': 1.3374821729547517e-07, 'epoch': 10.62}

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{'loss': 2.5074, 'learning_rate': 1.3371580448593283e-07, 'epoch': 10.62}

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{'loss': 2.4869, 'learning_rate': 1.336833916763905e-07, 'epoch': 10.63}

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{'loss': 2.4952, 'learning_rate': 1.3365097886684818e-07, 'epoch': 10.63}

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{'loss': 2.494, 'learning_rate': 1.3361856605730584e-07, 'epoch': 10.64}

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{'loss': 2.4835, 'learning_rate': 1.335861532477635e-07, 'epoch': 10.64}

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{'loss': 2.5491, 'learning_rate': 1.3355374043822117e-07, 'epoch': 10.65}

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{'loss': 2.45, 'learning_rate': 1.3352132762867885e-07, 'epoch': 10.65}

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{'loss': 2.5205, 'learning_rate': 1.3348891481913652e-07, 'epoch': 10.66}

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{'loss': 2.5278, 'learning_rate': 1.3345650200959418e-07, 'epoch': 10.66}

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{'loss': 2.5369, 'learning_rate': 1.3342408920005187e-07, 'epoch': 10.67}

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{'loss': 2.4765, 'learning_rate': 1.3339167639050953e-07, 'epoch': 10.67}

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{'loss': 2.5426, 'learning_rate': 1.333592635809672e-07, 'epoch': 10.68}

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{'loss': 2.5726, 'learning_rate': 1.3332685077142485e-07, 'epoch': 10.68}

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{'loss': 2.4823, 'learning_rate': 1.3329443796188254e-07, 'epoch': 10.69}

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{'loss': 2.5351, 'learning_rate': 1.332620251523402e-07, 'epoch': 10.69}

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{'loss': 2.489, 'learning_rate': 1.3322961234279786e-07, 'epoch': 10.7}

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{'loss': 2.5188, 'learning_rate': 1.3319719953325553e-07, 'epoch': 10.7}

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{'loss': 2.4874, 'learning_rate': 1.3316478672371321e-07, 'epoch': 10.71}

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{'loss': 2.4754, 'learning_rate': 1.3313237391417088e-07, 'epoch': 10.72}

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{'loss': 2.4465, 'learning_rate': 1.3309996110462854e-07, 'epoch': 10.72}

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{'loss': 2.4809, 'learning_rate': 1.330675482950862e-07, 'epoch': 10.73}

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{'loss': 2.52, 'learning_rate': 1.330351354855439e-07, 'epoch': 10.73}

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{'loss': 2.5503, 'learning_rate': 1.3300272267600155e-07, 'epoch': 10.74}

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{'loss': 2.484, 'learning_rate': 1.329703098664592e-07, 'epoch': 10.74}

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{'loss': 2.4993, 'learning_rate': 1.329378970569169e-07, 'epoch': 10.75}

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{'loss': 2.4731, 'learning_rate': 1.3290548424737456e-07, 'epoch': 10.75}

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{'loss': 2.5152, 'learning_rate': 1.3287307143783222e-07, 'epoch': 10.76}

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{'loss': 2.5009, 'learning_rate': 1.3284065862828989e-07, 'epoch': 10.76}

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{'loss': 2.4507, 'learning_rate': 1.3280824581874757e-07, 'epoch': 10.77}

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{'loss': 2.5123, 'learning_rate': 1.3277583300920524e-07, 'epoch': 10.77}

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{'loss': 2.4078, 'learning_rate': 1.327434201996629e-07, 'epoch': 10.78}

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{'loss': 2.541, 'learning_rate': 1.3271100739012056e-07, 'epoch': 10.78}

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{'loss': 2.4777, 'learning_rate': 1.3267859458057825e-07, 'epoch': 10.79}

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{'loss': 2.5192, 'learning_rate': 1.326461817710359e-07, 'epoch': 10.79}

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{'loss': 2.47, 'learning_rate': 1.3261376896149357e-07, 'epoch': 10.8}

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{'loss': 2.4723, 'learning_rate': 1.3258135615195123e-07, 'epoch': 10.8}

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{'loss': 2.4462, 'learning_rate': 1.3254894334240892e-07, 'epoch': 10.81}

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{'loss': 2.4619, 'learning_rate': 1.3251653053286658e-07, 'epoch': 10.81}

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{'loss': 2.4925, 'learning_rate': 1.3248411772332425e-07, 'epoch': 10.82}

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{'loss': 2.5252, 'learning_rate': 1.3245170491378193e-07, 'epoch': 10.82}

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{'loss': 2.4688, 'learning_rate': 1.324192921042396e-07, 'epoch': 10.83}

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{'loss': 2.4786, 'learning_rate': 1.3238687929469726e-07, 'epoch': 10.83}

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{'loss': 2.5274, 'learning_rate': 1.3235446648515492e-07, 'epoch': 10.84}

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{'loss': 2.5735, 'learning_rate': 1.323220536756126e-07, 'epoch': 10.84}

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{'loss': 2.5138, 'learning_rate': 1.3228964086607027e-07, 'epoch': 10.85}

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{'loss': 2.5175, 'learning_rate': 1.3225722805652793e-07, 'epoch': 10.85}

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{'loss': 2.5102, 'learning_rate': 1.322248152469856e-07, 'epoch': 10.86}

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{'loss': 2.4392, 'learning_rate': 1.3219240243744328e-07, 'epoch': 10.87}

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{'loss': 2.4749, 'learning_rate': 1.3215998962790094e-07, 'epoch': 10.87}

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{'loss': 2.4364, 'learning_rate': 1.321275768183586e-07, 'epoch': 10.88}

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{'loss': 2.5012, 'learning_rate': 1.3209516400881627e-07, 'epoch': 10.88}

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{'loss': 2.4822, 'learning_rate': 1.3206275119927396e-07, 'epoch': 10.89}

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{'loss': 2.5117, 'learning_rate': 1.3203033838973162e-07, 'epoch': 10.89}

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{'loss': 2.4657, 'learning_rate': 1.3199792558018928e-07, 'epoch': 10.9}

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{'loss': 2.4705, 'learning_rate': 1.3196551277064694e-07, 'epoch': 10.9}

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{'loss': 2.4404, 'learning_rate': 1.3193309996110463e-07, 'epoch': 10.91}

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{'loss': 2.4954, 'learning_rate': 1.319006871515623e-07, 'epoch': 10.91}

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{'loss': 2.5303, 'learning_rate': 1.3186827434201995e-07, 'epoch': 10.92}

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{'loss': 2.555, 'learning_rate': 1.3183586153247764e-07, 'epoch': 10.92}

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{'loss': 2.4646, 'learning_rate': 1.318034487229353e-07, 'epoch': 10.93}

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{'loss': 2.4627, 'learning_rate': 1.3177103591339297e-07, 'epoch': 10.93}

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{'loss': 2.5203, 'learning_rate': 1.3173862310385063e-07, 'epoch': 10.94}

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{'loss': 2.4777, 'learning_rate': 1.317062102943083e-07, 'epoch': 10.94}

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{'loss': 2.508, 'learning_rate': 1.3167379748476598e-07, 'epoch': 10.95}

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{'loss': 2.5401, 'learning_rate': 1.3164138467522364e-07, 'epoch': 10.95}

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{'loss': 2.4662, 'learning_rate': 1.316089718656813e-07, 'epoch': 10.96}

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{'loss': 2.5214, 'learning_rate': 1.31576559056139e-07, 'epoch': 10.96}

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{'loss': 2.54, 'learning_rate': 1.3154414624659665e-07, 'epoch': 10.97}

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{'loss': 2.4843, 'learning_rate': 1.3151173343705431e-07, 'epoch': 10.97}

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{'loss': 2.4735, 'learning_rate': 1.31479320627512e-07, 'epoch': 10.98}

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{'loss': 2.5043, 'learning_rate': 1.3144690781796964e-07, 'epoch': 10.98}

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{'loss': 2.4616, 'learning_rate': 1.3141449500842733e-07, 'epoch': 10.99}

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{'loss': 2.5053, 'learning_rate': 1.31382082198885e-07, 'epoch': 10.99}

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{'loss': 2.5345, 'learning_rate': 1.3134966938934265e-07, 'epoch': 11.0}

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{'max_length': 384, 'max_gen_length': 380, 'num_beams': 5}


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100%|██████████| 861/861 [11:39<00:00,  1.08it/s]{'score': 12.171616486842014, 'counts': [17574, 8013, 4043, 2041], 'totals': [50590, 48868, 47146, 45424], 'precisions': [34.73809053172564, 16.397233363346157, 8.575488906800153, 4.4932194434660095], 'bp': 1.0, 'sys_len': 50590, 'ref_len': 32555}

                                                          

                                                 
{'eval_loss': 2.464466094970703, 'eval_bleu': 12.1716, 'eval_gen_len': 36.4367, 'eval_runtime': 795.2493, 'eval_samples_per_second': 2.165, 'eval_steps_per_second': 1.083, 'epoch': 11.0}

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                                                 [WARNING|configuration_utils.py:448] 2024-10-28 13:36:40,213 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.456, 'learning_rate': 1.3131725657980034e-07, 'epoch': 11.0}

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{'loss': 2.4683, 'learning_rate': 1.31284843770258e-07, 'epoch': 11.01}

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