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--- |
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library_name: transformers |
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base_model: huawei-noah/TinyBERT_General_4L_312D |
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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: tinyBert-router-v0.1 |
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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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# tinyBert-router-v0.1 |
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This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huawei-noah/TinyBERT_General_4L_312D) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2489 |
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- Accuracy: 1.0 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 29 | 0.6853 | 0.52 | |
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| No log | 2.0 | 58 | 0.5893 | 0.96 | |
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| No log | 3.0 | 87 | 0.4202 | 1.0 | |
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| No log | 4.0 | 116 | 0.3176 | 1.0 | |
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| No log | 5.0 | 145 | 0.2649 | 1.0 | |
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| No log | 6.0 | 174 | 0.2489 | 1.0 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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