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camembert_question_answering_tools_fr

Question Answering
Transformers
PyTorch
camembert
Generated from Trainer
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  1. README.md +114 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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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_fr
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+ results: []
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+ ---
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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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+
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+ # camembert_question_answering_tools_fr
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+
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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: 1.1777
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+ - Learning Rate: 5e-06
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rate |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 7 | 3.8456 | 0.0001 |
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+ | No log | 2.0 | 14 | 3.1532 | 0.0001 |
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+ | No log | 3.0 | 21 | 2.9520 | 0.0001 |
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+ | No log | 4.0 | 28 | 2.8529 | 0.0001 |
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+ | No log | 5.0 | 35 | 2.7766 | 0.0001 |
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+ | No log | 6.0 | 42 | 2.7241 | 9e-05 |
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+ | No log | 7.0 | 49 | 2.6531 | 0.0001 |
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+ | No log | 8.0 | 56 | 2.6369 | 0.0001 |
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+ | No log | 9.0 | 63 | 2.6540 | 0.0001 |
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+ | No log | 10.0 | 70 | 2.5352 | 0.0001 |
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+ | No log | 11.0 | 77 | 2.5216 | 0.0001 |
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+ | No log | 12.0 | 84 | 2.4671 | 8e-05 |
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+ | No log | 13.0 | 91 | 2.4182 | 0.0001 |
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+ | No log | 14.0 | 98 | 2.4342 | 0.0001 |
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+ | No log | 15.0 | 105 | 2.3646 | 0.0001 |
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+ | No log | 16.0 | 112 | 2.3364 | 0.0001 |
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+ | No log | 17.0 | 119 | 2.3207 | 0.0001 |
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+ | No log | 18.0 | 126 | 2.3292 | 7e-05 |
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+ | No log | 19.0 | 133 | 2.2875 | 0.0001 |
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+ | No log | 20.0 | 140 | 2.2834 | 0.0001 |
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+ | No log | 21.0 | 147 | 2.3013 | 0.0001 |
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+ | No log | 22.0 | 154 | 2.2457 | 0.0001 |
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+ | No log | 23.0 | 161 | 2.4669 | 0.0001 |
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+ | No log | 24.0 | 168 | 2.1900 | 6e-05 |
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+ | No log | 25.0 | 175 | 2.1871 | 0.0001 |
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+ | No log | 26.0 | 182 | 2.1982 | 0.0001 |
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+ | No log | 27.0 | 189 | 2.1409 | 0.0001 |
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+ | No log | 28.0 | 196 | 2.0890 | 0.0001 |
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+ | No log | 29.0 | 203 | 2.1497 | 0.0001 |
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+ | No log | 30.0 | 210 | 2.0856 | 5e-05 |
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+ | No log | 31.0 | 217 | 2.1277 | 0.0000 |
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+ | No log | 32.0 | 224 | 2.1338 | 0.0000 |
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+ | No log | 33.0 | 231 | 2.0299 | 0.0000 |
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+ | No log | 34.0 | 238 | 1.9255 | 0.0000 |
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+ | No log | 35.0 | 245 | 1.7374 | 0.0000 |
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+ | No log | 36.0 | 252 | 1.8277 | 4e-05 |
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+ | No log | 37.0 | 259 | 1.6781 | 0.0000 |
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+ | No log | 38.0 | 266 | 1.6159 | 0.0000 |
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+ | No log | 39.0 | 273 | 1.4749 | 0.0000 |
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+ | No log | 40.0 | 280 | 1.3004 | 0.0000 |
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+ | No log | 41.0 | 287 | 1.4511 | 0.0000 |
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+ | No log | 42.0 | 294 | 1.4651 | 3e-05 |
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+ | No log | 43.0 | 301 | 1.5516 | 0.0000 |
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+ | No log | 44.0 | 308 | 1.2391 | 0.0000 |
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+ | No log | 45.0 | 315 | 1.1428 | 0.0000 |
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+ | No log | 46.0 | 322 | 1.5430 | 0.0000 |
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+ | No log | 47.0 | 329 | 1.1326 | 0.0000 |
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+ | No log | 48.0 | 336 | 1.1364 | 2e-05 |
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+ | No log | 49.0 | 343 | 1.2151 | 0.0000 |
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+ | No log | 50.0 | 350 | 1.3750 | 0.0000 |
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+ | No log | 51.0 | 357 | 1.3555 | 0.0000 |
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+ | No log | 52.0 | 364 | 1.4785 | 0.0000 |
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+ | No log | 53.0 | 371 | 1.3575 | 0.0000 |
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+ | No log | 54.0 | 378 | 1.1797 | 1e-05 |
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+ | No log | 55.0 | 385 | 1.2311 | 0.0000 |
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+ | No log | 56.0 | 392 | 1.2033 | 0.0000 |
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+ | No log | 57.0 | 399 | 1.1777 | 5e-06 |
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+
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+
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+ ### Framework versions
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+
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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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