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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/bert_uncased_L-2_H-128_A-2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert_distillation |
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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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# bert_distillation |
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0805 |
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- Model Preparation Time: 0.0009 |
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- Accuracy: 0.8360 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 2023 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 7 |
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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 | Model Preparation Time | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:| |
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| 1.2724 | 1.0 | 527 | 1.0482 | 0.0009 | 0.8108 | |
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| 0.6783 | 2.0 | 1054 | 1.0651 | 0.0009 | 0.8280 | |
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| 0.5164 | 3.0 | 1581 | 1.0805 | 0.0009 | 0.8360 | |
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| 0.4397 | 4.0 | 2108 | 1.1196 | 0.0009 | 0.8280 | |
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| 0.3887 | 5.0 | 2635 | 1.1339 | 0.0009 | 0.8314 | |
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| 0.3558 | 6.0 | 3162 | 1.1385 | 0.0009 | 0.8326 | |
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| 0.3397 | 7.0 | 3689 | 1.1512 | 0.0009 | 0.8268 | |
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### Framework versions |
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- Transformers 4.57.6 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.2 |
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