danielizham
commited on
Commit
β’
ac68b76
1
Parent(s):
ed42ec5
Model save
Browse files- generation_config.json +221 -0
- pytorch_model.bin +1 -1
- training.log +17 -0
- wandb/run-20230510_094132-lvsln7ks/files/config.yaml +20 -0
- wandb/run-20230510_094132-lvsln7ks/files/output.log +13 -0
- wandb/run-20230510_094132-lvsln7ks/files/wandb-summary.json +1 -1
- wandb/run-20230510_094132-lvsln7ks/logs/debug-internal.log +40 -0
generation_config.json
ADDED
@@ -0,0 +1,221 @@
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{
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},
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"transformers_version": "4.29.0.dev0"
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}
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 967102601
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version https://git-lfs.github.com/spec/v1
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oid sha256:656ad65a0efd016b92be9b27dc8dca4b6485147fc7a287642049ae5aaf68cffa
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size 967102601
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training.log
CHANGED
@@ -1653,3 +1653,20 @@ Adding files tracked by Git LFS: ['wandb/run-20230509_115211-hq92t8sj/run-hq92t8
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[INFO|modeling_utils.py:1855] 2023-05-12 06:44:04,688 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:04,692 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:15,555 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|modeling_utils.py:1855] 2023-05-12 06:44:04,688 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:04,692 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:15,555 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|trainer.py:2044] 2023-05-12 06:45:02,781 >>
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Training completed. Do not forget to share your model on huggingface.co/models =)
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[INFO|trainer.py:2177] 2023-05-12 06:45:02,783 >> Loading best model from ./checkpoint-4000 (score: 8.212281066472636).
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[INFO|trainer.py:2877] 2023-05-12 06:45:04,427 >> Saving model checkpoint to ./
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[INFO|configuration_utils.py:458] 2023-05-12 06:45:04,430 >> Configuration saved in ./config.json
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[INFO|configuration_utils.py:364] 2023-05-12 06:45:04,434 >> Configuration saved in ./generation_config.json
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[INFO|modeling_utils.py:1855] 2023-05-12 06:45:07,575 >> Model weights saved in ./pytorch_model.bin
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:07,579 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|trainer.py:2877] 2023-05-12 06:45:07,583 >> Saving model checkpoint to ./
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[INFO|configuration_utils.py:458] 2023-05-12 06:45:07,586 >> Configuration saved in ./config.json
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[INFO|configuration_utils.py:364] 2023-05-12 06:45:07,589 >> Configuration saved in ./generation_config.json
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[INFO|modeling_utils.py:1855] 2023-05-12 06:45:10,742 >> Model weights saved in ./pytorch_model.bin
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:10,746 >> Feature extractor saved in ./preprocessor_config.json
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wandb/run-20230510_094132-lvsln7ks/files/config.yaml
CHANGED
@@ -73,6 +73,26 @@ _wandb:
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vocab_size:
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desc: null
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value: 51865
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- 1
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vocab_size:
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desc: null
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value: 51865
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wandb/run-20230510_094132-lvsln7ks/files/output.log
CHANGED
@@ -5460,3 +5460,16 @@ Reading metadata...: 1it [00:01, 1.78s/it]
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[INFO|configuration_utils.py:458] 2023-05-12 06:44:01,605 >> Configuration saved in ./checkpoint-5000/config.jsonorresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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[INFO|modeling_utils.py:1855] 2023-05-12 06:44:04,688 >> Model weights saved in ./checkpoint-5000/pytorch_model.binresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:15,555 >> Feature extractor saved in ./preprocessor_config.jsononding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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[INFO|configuration_utils.py:458] 2023-05-12 06:44:01,605 >> Configuration saved in ./checkpoint-5000/config.jsonorresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
|
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[INFO|modeling_utils.py:1855] 2023-05-12 06:44:04,688 >> Model weights saved in ./checkpoint-5000/pytorch_model.binresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:44:15,555 >> Feature extractor saved in ./preprocessor_config.jsononding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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+
[INFO|trainer.py:2177] 2023-05-12 06:45:02,783 >> Loading best model from ./checkpoint-4000 (score: 8.212281066472636).onding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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[INFO|trainer.py:2177] 2023-05-12 06:45:02,783 >> Loading best model from ./checkpoint-4000 (score: 8.212281066472636).onding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.
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100%|ββββββββββ| 5000/5000 [45:03:23<00:00, 32.44s/it]
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[INFO|trainer.py:2877] 2023-05-12 06:45:04,427 >> Saving model checkpoint to ./
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[INFO|configuration_utils.py:458] 2023-05-12 06:45:04,430 >> Configuration saved in ./config.json
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[INFO|configuration_utils.py:364] 2023-05-12 06:45:04,434 >> Configuration saved in ./generation_config.json
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{'train_runtime': 162214.2802, 'train_samples_per_second': 3.945, 'train_steps_per_second': 0.031, 'train_loss': 0.10428944413661957, 'epoch': 20.03}
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[INFO|modeling_utils.py:1855] 2023-05-12 06:45:07,575 >> Model weights saved in ./pytorch_model.bin
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[INFO|feature_extraction_utils.py:369] 2023-05-12 06:45:07,579 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|trainer.py:2877] 2023-05-12 06:45:07,583 >> Saving model checkpoint to ./
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[INFO|configuration_utils.py:458] 2023-05-12 06:45:07,586 >> Configuration saved in ./config.json
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[INFO|configuration_utils.py:364] 2023-05-12 06:45:07,589 >> Configuration saved in ./generation_config.json
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[INFO|modeling_utils.py:1855] 2023-05-12 06:45:10,742 >> Model weights saved in ./pytorch_model.bin
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wandb/run-20230510_094132-lvsln7ks/files/wandb-summary.json
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{"train/train_runtime": 162214.2802, "train/train_samples_per_second": 3.945, "train/train_steps_per_second": 0.031, "train/total_flos": 1.846946562048e+20, "train/train_loss": 0.10428944413661957, "_timestamp": 1683863104.4244387, "_runtime": 162211.7298886776, "_step": 205}
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wandb/run-20230510_094132-lvsln7ks/logs/debug-internal.log
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