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--- |
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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: Capstone_TinyBert |
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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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# Capstone_TinyBert |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3172 |
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- Accuracy: 0.8772 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 5 |
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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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| 0.4628 | 1.0 | 313 | 0.3617 | 0.852 | |
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| 0.3369 | 2.0 | 626 | 0.3218 | 0.8644 | |
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| 0.2949 | 3.0 | 939 | 0.3143 | 0.8744 | |
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| 0.2699 | 4.0 | 1252 | 0.3192 | 0.8718 | |
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| 0.2481 | 5.0 | 1565 | 0.3172 | 0.8772 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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