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--- |
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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: distilbert-base-uncased |
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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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# distilbert-base-uncased |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3188 |
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- Accuracy: 0.9224 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 1010 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.104 | 1.0 | 2370 | 0.1172 | 0.9724 | |
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| 0.143 | 2.0 | 4740 | 0.1707 | 0.9608 | |
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| 0.2895 | 3.0 | 7110 | 0.3216 | 0.9224 | |
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| 0.3122 | 4.0 | 9480 | 0.3178 | 0.9224 | |
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| 0.3177 | 5.0 | 11850 | 0.3223 | 0.9224 | |
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| 0.318 | 6.0 | 14220 | 0.3182 | 0.9224 | |
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| 0.3174 | 7.0 | 16590 | 0.3194 | 0.9224 | |
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| 0.317 | 8.0 | 18960 | 0.3183 | 0.9224 | |
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| 0.3176 | 9.0 | 21330 | 0.3179 | 0.9224 | |
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| 0.3178 | 10.0 | 23700 | 0.3188 | 0.9224 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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