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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- allocine |
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model-index: |
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- name: model |
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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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# model |
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This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on the allocine dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0254 |
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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: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4388 | 1.0 | 157 | 2.1637 | |
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| 2.288 | 2.0 | 314 | 2.1697 | |
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| 2.2444 | 3.0 | 471 | 2.1150 | |
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| 2.2166 | 4.0 | 628 | 2.0906 | |
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| 2.1754 | 5.0 | 785 | 2.0899 | |
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| 2.1604 | 6.0 | 942 | 2.0797 | |
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| 2.1299 | 7.0 | 1099 | 2.0589 | |
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| 2.1195 | 8.0 | 1256 | 2.0178 | |
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| 2.1258 | 9.0 | 1413 | 2.0348 | |
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| 2.1071 | 10.0 | 1570 | 2.0090 | |
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| 2.0888 | 11.0 | 1727 | 2.0047 | |
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| 2.0792 | 12.0 | 1884 | 2.0219 | |
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| 2.0687 | 13.0 | 2041 | 2.0080 | |
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| 2.0527 | 14.0 | 2198 | 2.0298 | |
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| 2.0589 | 15.0 | 2355 | 1.9869 | |
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| 2.0518 | 16.0 | 2512 | 2.0152 | |
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| 2.0409 | 17.0 | 2669 | 2.0247 | |
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| 2.0507 | 18.0 | 2826 | 1.9928 | |
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| 2.0366 | 19.0 | 2983 | 2.0175 | |
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| 2.0386 | 20.0 | 3140 | 1.9487 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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