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--- |
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license: mit |
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base_model: camembert-base |
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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: camembert_classification_tools_qlora_fr |
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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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# camembert_classification_tools_qlora_fr |
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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: 0.7203 |
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- Accuracy: 0.875 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 192 |
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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: 60 |
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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 | 5 | 2.0791 | 0.075 | |
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| No log | 2.0 | 10 | 2.0909 | 0.075 | |
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| No log | 3.0 | 15 | 2.0903 | 0.075 | |
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| No log | 4.0 | 20 | 2.0790 | 0.075 | |
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| No log | 5.0 | 25 | 2.0606 | 0.075 | |
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| No log | 6.0 | 30 | 2.0206 | 0.1 | |
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| No log | 7.0 | 35 | 1.9780 | 0.25 | |
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| No log | 8.0 | 40 | 1.9250 | 0.375 | |
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| No log | 9.0 | 45 | 1.8724 | 0.5 | |
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| No log | 10.0 | 50 | 1.8129 | 0.525 | |
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| No log | 11.0 | 55 | 1.7570 | 0.55 | |
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| No log | 12.0 | 60 | 1.7009 | 0.65 | |
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| No log | 13.0 | 65 | 1.6472 | 0.625 | |
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| No log | 14.0 | 70 | 1.5928 | 0.675 | |
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| No log | 15.0 | 75 | 1.5434 | 0.7 | |
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| No log | 16.0 | 80 | 1.4880 | 0.675 | |
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| No log | 17.0 | 85 | 1.4333 | 0.7 | |
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| No log | 18.0 | 90 | 1.3811 | 0.7 | |
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| No log | 19.0 | 95 | 1.3339 | 0.7 | |
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| No log | 20.0 | 100 | 1.2919 | 0.75 | |
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| No log | 21.0 | 105 | 1.2493 | 0.725 | |
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| No log | 22.0 | 110 | 1.2091 | 0.725 | |
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| No log | 23.0 | 115 | 1.1707 | 0.75 | |
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| No log | 24.0 | 120 | 1.1311 | 0.775 | |
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| No log | 25.0 | 125 | 1.0946 | 0.825 | |
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| No log | 26.0 | 130 | 1.0642 | 0.8 | |
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| No log | 27.0 | 135 | 1.0363 | 0.8 | |
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| No log | 28.0 | 140 | 1.0172 | 0.8 | |
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| No log | 29.0 | 145 | 0.9939 | 0.825 | |
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| No log | 30.0 | 150 | 0.9682 | 0.825 | |
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| No log | 31.0 | 155 | 0.9443 | 0.8 | |
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| No log | 32.0 | 160 | 0.9289 | 0.825 | |
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| No log | 33.0 | 165 | 0.9113 | 0.85 | |
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| No log | 34.0 | 170 | 0.9017 | 0.85 | |
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| No log | 35.0 | 175 | 0.8804 | 0.85 | |
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| No log | 36.0 | 180 | 0.8598 | 0.85 | |
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| No log | 37.0 | 185 | 0.8484 | 0.825 | |
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| No log | 38.0 | 190 | 0.8361 | 0.825 | |
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| No log | 39.0 | 195 | 0.8306 | 0.825 | |
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| No log | 40.0 | 200 | 0.8242 | 0.825 | |
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| No log | 41.0 | 205 | 0.8198 | 0.85 | |
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| No log | 42.0 | 210 | 0.8051 | 0.85 | |
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| No log | 43.0 | 215 | 0.7854 | 0.85 | |
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| No log | 44.0 | 220 | 0.7727 | 0.9 | |
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| No log | 45.0 | 225 | 0.7626 | 0.9 | |
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| No log | 46.0 | 230 | 0.7579 | 0.9 | |
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| No log | 47.0 | 235 | 0.7500 | 0.9 | |
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| No log | 48.0 | 240 | 0.7477 | 0.875 | |
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| No log | 49.0 | 245 | 0.7517 | 0.85 | |
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| No log | 50.0 | 250 | 0.7484 | 0.85 | |
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| No log | 51.0 | 255 | 0.7446 | 0.85 | |
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| No log | 52.0 | 260 | 0.7414 | 0.85 | |
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| No log | 53.0 | 265 | 0.7357 | 0.875 | |
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| No log | 54.0 | 270 | 0.7303 | 0.875 | |
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| No log | 55.0 | 275 | 0.7249 | 0.875 | |
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| No log | 56.0 | 280 | 0.7232 | 0.875 | |
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| No log | 57.0 | 285 | 0.7228 | 0.875 | |
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| No log | 58.0 | 290 | 0.7215 | 0.875 | |
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| No log | 59.0 | 295 | 0.7206 | 0.875 | |
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| No log | 60.0 | 300 | 0.7203 | 0.875 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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