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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 |
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results: [] |
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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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# BERT2BERT_try |
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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: 0.0150 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2457 | 0.08 | 50 | 0.0349 | |
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| 0.0445 | 0.16 | 100 | 0.0297 | |
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| 0.0339 | 0.24 | 150 | 0.0214 | |
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| 0.0234 | 0.31 | 200 | 0.0221 | |
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| 0.0193 | 0.39 | 250 | 0.0211 | |
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| 0.027 | 0.47 | 300 | 0.0172 | |
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| 0.0199 | 0.55 | 350 | 0.0176 | |
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| 0.021 | 0.63 | 400 | 0.0162 | |
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| 0.0231 | 0.71 | 450 | 0.0164 | |
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| 0.021 | 0.79 | 500 | 0.0152 | |
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| 0.0235 | 0.86 | 550 | 0.0149 | |
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| 0.0178 | 0.94 | 600 | 0.0150 | |
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### Framework versions |
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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 |
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