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End of training

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  1. README.md +64 -0
  2. generation_config.json +5 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BERT2BERT_try_epoch15
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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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+ # BERT2BERT_try_epoch15
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0176
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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: 4
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+ - eval_batch_size: 4
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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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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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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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+ | 0.0145 | 1.57 | 1000 | 0.0147 |
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+ | 0.0058 | 3.14 | 2000 | 0.0157 |
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+ | 0.002 | 4.72 | 3000 | 0.0167 |
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+ | 0.0012 | 6.29 | 4000 | 0.0154 |
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+ | 0.0005 | 7.86 | 5000 | 0.0155 |
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+ | 0.0004 | 9.43 | 6000 | 0.0159 |
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+ | 0.0005 | 11.01 | 7000 | 0.0167 |
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+ | 0.0004 | 12.58 | 8000 | 0.0172 |
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+ | 0.0003 | 14.15 | 9000 | 0.0176 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.35.2"
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+ }