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--- |
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base_model: houdini001/BERT2BERT_try |
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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_ep11 |
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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_ep11 |
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This model is a fine-tuned version of [houdini001/BERT2BERT_try](https://huggingface.co/houdini001/BERT2BERT_try) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0240 |
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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: 10 |
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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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| 0.012 | 1.57 | 1000 | 0.0237 | |
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| 0.0024 | 3.14 | 2000 | 0.0238 | |
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| 0.0009 | 4.72 | 3000 | 0.0234 | |
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| 0.0004 | 6.29 | 4000 | 0.0240 | |
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| 0.0003 | 7.86 | 5000 | 0.0237 | |
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| 0.0003 | 9.43 | 6000 | 0.0240 | |
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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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