jysssacc commited on
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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: facebook/opt-350m
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+ model-index:
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+ - name: opt-350m_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # opt-350m_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
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+
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+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 9.2493
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 9.7874 | 1.0 | 314 | 9.2493 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "num_transformer_submodules": 1,
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+ "num_virtual_tokens": 10,
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+ "peft_type": "PREFIX_TUNING",
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+ "prefix_projection": false,
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+ "revision": null,
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+ "task_type": "CAUSAL_LM",
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+ "token_dim": 1024
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+ }
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