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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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model-index: |
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- name: camembert_question_answering_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_question_answering_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: 2.3275 |
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- Learning Rate: 0.0 |
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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 | Rate | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 7 | 5.8555 | 0.0001 | |
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| No log | 2.0 | 14 | 5.7277 | 0.0001 | |
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| No log | 3.0 | 21 | 5.5916 | 0.0001 | |
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| No log | 4.0 | 28 | 5.4433 | 0.0001 | |
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| No log | 5.0 | 35 | 5.2833 | 0.0001 | |
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| No log | 6.0 | 42 | 5.1312 | 9e-05 | |
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| No log | 7.0 | 49 | 4.9815 | 0.0001 | |
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| No log | 8.0 | 56 | 4.8317 | 0.0001 | |
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| No log | 9.0 | 63 | 4.6800 | 0.0001 | |
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| No log | 10.0 | 70 | 4.5265 | 0.0001 | |
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| No log | 11.0 | 77 | 4.3673 | 0.0001 | |
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| No log | 12.0 | 84 | 4.2002 | 8e-05 | |
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| No log | 13.0 | 91 | 4.0344 | 0.0001 | |
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| No log | 14.0 | 98 | 3.8807 | 0.0001 | |
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| No log | 15.0 | 105 | 3.7267 | 0.0001 | |
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| No log | 16.0 | 112 | 3.5812 | 0.0001 | |
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| No log | 17.0 | 119 | 3.4528 | 0.0001 | |
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| No log | 18.0 | 126 | 3.3323 | 7e-05 | |
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| No log | 19.0 | 133 | 3.2173 | 0.0001 | |
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| No log | 20.0 | 140 | 3.1382 | 0.0001 | |
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| No log | 21.0 | 147 | 3.0190 | 0.0001 | |
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| No log | 22.0 | 154 | 2.9614 | 0.0001 | |
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| No log | 23.0 | 161 | 2.8867 | 0.0001 | |
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| No log | 24.0 | 168 | 2.8360 | 6e-05 | |
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| No log | 25.0 | 175 | 2.7882 | 0.0001 | |
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| No log | 26.0 | 182 | 2.7450 | 0.0001 | |
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| No log | 27.0 | 189 | 2.6969 | 0.0001 | |
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| No log | 28.0 | 196 | 2.6651 | 0.0001 | |
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| No log | 29.0 | 203 | 2.6440 | 0.0001 | |
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| No log | 30.0 | 210 | 2.6032 | 5e-05 | |
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| No log | 31.0 | 217 | 2.5762 | 0.0000 | |
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| No log | 32.0 | 224 | 2.5473 | 0.0000 | |
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| No log | 33.0 | 231 | 2.5338 | 0.0000 | |
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| No log | 34.0 | 238 | 2.5056 | 0.0000 | |
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| No log | 35.0 | 245 | 2.4919 | 0.0000 | |
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| No log | 36.0 | 252 | 2.4773 | 4e-05 | |
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| No log | 37.0 | 259 | 2.4594 | 0.0000 | |
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| No log | 38.0 | 266 | 2.4429 | 0.0000 | |
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| No log | 39.0 | 273 | 2.4275 | 0.0000 | |
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| No log | 40.0 | 280 | 2.4184 | 0.0000 | |
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| No log | 41.0 | 287 | 2.4123 | 0.0000 | |
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| No log | 42.0 | 294 | 2.3951 | 3e-05 | |
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| No log | 43.0 | 301 | 2.3963 | 0.0000 | |
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| No log | 44.0 | 308 | 2.3848 | 0.0000 | |
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| No log | 45.0 | 315 | 2.3714 | 0.0000 | |
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| No log | 46.0 | 322 | 2.3696 | 0.0000 | |
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| No log | 47.0 | 329 | 2.3626 | 0.0000 | |
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| No log | 48.0 | 336 | 2.3545 | 2e-05 | |
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| No log | 49.0 | 343 | 2.3523 | 0.0000 | |
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| No log | 50.0 | 350 | 2.3492 | 0.0000 | |
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| No log | 51.0 | 357 | 2.3429 | 0.0000 | |
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| No log | 52.0 | 364 | 2.3364 | 0.0000 | |
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| No log | 53.0 | 371 | 2.3371 | 0.0000 | |
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| No log | 54.0 | 378 | 2.3360 | 1e-05 | |
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| No log | 55.0 | 385 | 2.3329 | 0.0000 | |
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| No log | 56.0 | 392 | 2.3316 | 0.0000 | |
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| No log | 57.0 | 399 | 2.3292 | 5e-06 | |
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| No log | 58.0 | 406 | 2.3281 | 0.0000 | |
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| No log | 59.0 | 413 | 2.3278 | 0.0000 | |
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| No log | 60.0 | 420 | 2.3275 | 0.0 | |
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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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