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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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model-index: |
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- name: fr-camembert-base-finetuned |
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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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# fr-camembert-base-finetuned |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3301 |
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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: 16 |
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- eval_batch_size: 16 |
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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 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.2487 | 1.0 | 124 | 2.8169 | |
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| 2.6851 | 2.0 | 248 | 2.6374 | |
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| 2.6175 | 3.0 | 372 | 2.6431 | |
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| 2.5366 | 4.0 | 496 | 2.4475 | |
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| 2.4529 | 5.0 | 620 | 2.4647 | |
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| 2.4002 | 6.0 | 744 | 2.4846 | |
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| 2.3914 | 7.0 | 868 | 2.4187 | |
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| 2.3439 | 8.0 | 992 | 2.4819 | |
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| 2.2797 | 9.0 | 1116 | 2.3769 | |
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| 2.3065 | 10.0 | 1240 | 2.4536 | |
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| 2.2499 | 11.0 | 1364 | 2.4079 | |
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| 2.2254 | 12.0 | 1488 | 2.3755 | |
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| 2.218 | 13.0 | 1612 | 2.3189 | |
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| 2.2059 | 14.0 | 1736 | 2.3628 | |
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| 2.158 | 15.0 | 1860 | 2.4482 | |
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| 2.1871 | 16.0 | 1984 | 2.3020 | |
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| 2.154 | 17.0 | 2108 | 2.3485 | |
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| 2.1906 | 18.0 | 2232 | 2.4602 | |
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| 2.1853 | 19.0 | 2356 | 2.2482 | |
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| 2.1334 | 20.0 | 2480 | 2.3699 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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