houdini001
commited on
End of training
Browse files- README.md +67 -0
- generation_config.json +5 -0
README.md
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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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generation_config.json
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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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}
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