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camembert_question_answering_tools_fr

Question Answering
Transformers
PyTorch
camembert
Generated from Trainer
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xet
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End of training

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  1. README.md +62 -29
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.7647
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- - Learning Rate: 0.0001
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  ## Model description
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@@ -47,33 +47,66 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 7 | 4.1015 | 0.0001 |
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- | No log | 2.0 | 14 | 3.2806 | 0.0001 |
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- | No log | 3.0 | 21 | 2.9722 | 0.0001 |
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- | No log | 4.0 | 28 | 2.8707 | 0.0001 |
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- | No log | 5.0 | 35 | 2.7841 | 0.0001 |
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- | No log | 6.0 | 42 | 2.7172 | 9e-05 |
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- | No log | 7.0 | 49 | 2.6598 | 0.0001 |
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- | No log | 8.0 | 56 | 2.6083 | 0.0001 |
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- | No log | 9.0 | 63 | 2.5637 | 0.0001 |
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- | No log | 10.0 | 70 | 2.5213 | 0.0001 |
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- | No log | 11.0 | 77 | 2.4843 | 0.0001 |
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- | No log | 12.0 | 84 | 2.4661 | 8e-05 |
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- | No log | 13.0 | 91 | 2.4349 | 0.0001 |
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- | No log | 14.0 | 98 | 2.4924 | 0.0001 |
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- | No log | 15.0 | 105 | 2.3981 | 0.0001 |
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- | No log | 16.0 | 112 | 2.5037 | 0.0001 |
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- | No log | 17.0 | 119 | 2.3250 | 0.0001 |
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- | No log | 18.0 | 126 | 2.4910 | 7e-05 |
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- | No log | 19.0 | 133 | 2.3392 | 0.0001 |
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- | No log | 20.0 | 140 | 2.5614 | 0.0001 |
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- | No log | 21.0 | 147 | 2.3671 | 0.0001 |
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- | No log | 22.0 | 154 | 3.1649 | 0.0001 |
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- | No log | 23.0 | 161 | 2.3988 | 0.0001 |
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- | No log | 24.0 | 168 | 2.7332 | 6e-05 |
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- | No log | 25.0 | 175 | 2.8618 | 0.0001 |
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- | No log | 26.0 | 182 | 3.0148 | 0.0001 |
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- | No log | 27.0 | 189 | 2.7647 | 0.0001 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 1.8470
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+ - Learning Rate: 0.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 7 | 4.1208 | 0.0001 |
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+ | No log | 2.0 | 14 | 3.2825 | 0.0001 |
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+ | No log | 3.0 | 21 | 3.0182 | 0.0001 |
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+ | No log | 4.0 | 28 | 2.8863 | 0.0001 |
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+ | No log | 5.0 | 35 | 2.8072 | 0.0001 |
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+ | No log | 6.0 | 42 | 2.7408 | 9e-05 |
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+ | No log | 7.0 | 49 | 2.6830 | 0.0001 |
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+ | No log | 8.0 | 56 | 2.6311 | 0.0001 |
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+ | No log | 9.0 | 63 | 2.5832 | 0.0001 |
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+ | No log | 10.0 | 70 | 2.5409 | 0.0001 |
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+ | No log | 11.0 | 77 | 2.5002 | 0.0001 |
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+ | No log | 12.0 | 84 | 2.4644 | 8e-05 |
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+ | No log | 13.0 | 91 | 2.6593 | 0.0001 |
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+ | No log | 14.0 | 98 | 3.1933 | 0.0001 |
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+ | No log | 15.0 | 105 | 2.8660 | 0.0001 |
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+ | No log | 16.0 | 112 | 2.8877 | 0.0001 |
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+ | No log | 17.0 | 119 | 2.8835 | 0.0001 |
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+ | No log | 18.0 | 126 | 3.1413 | 7e-05 |
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+ | No log | 19.0 | 133 | 2.3645 | 0.0001 |
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+ | No log | 20.0 | 140 | 2.6474 | 0.0001 |
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+ | No log | 21.0 | 147 | 2.6844 | 0.0001 |
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+ | No log | 22.0 | 154 | 2.6115 | 0.0001 |
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+ | No log | 23.0 | 161 | 2.6331 | 0.0001 |
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+ | No log | 24.0 | 168 | 2.6264 | 6e-05 |
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+ | No log | 25.0 | 175 | 2.8091 | 0.0001 |
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+ | No log | 26.0 | 182 | 3.0149 | 0.0001 |
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+ | No log | 27.0 | 189 | 3.1302 | 0.0001 |
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+ | No log | 28.0 | 196 | 3.3069 | 0.0001 |
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+ | No log | 29.0 | 203 | 2.9019 | 0.0001 |
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+ | No log | 30.0 | 210 | 2.9813 | 5e-05 |
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+ | No log | 31.0 | 217 | 3.0455 | 0.0000 |
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+ | No log | 32.0 | 224 | 2.5279 | 0.0000 |
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+ | No log | 33.0 | 231 | 2.3590 | 0.0000 |
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+ | No log | 34.0 | 238 | 2.1238 | 0.0000 |
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+ | No log | 35.0 | 245 | 2.0876 | 0.0000 |
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+ | No log | 36.0 | 252 | 2.2768 | 4e-05 |
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+ | No log | 37.0 | 259 | 2.1171 | 0.0000 |
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+ | No log | 38.0 | 266 | 2.0958 | 0.0000 |
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+ | No log | 39.0 | 273 | 2.1616 | 0.0000 |
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+ | No log | 40.0 | 280 | 2.0285 | 0.0000 |
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+ | No log | 41.0 | 287 | 1.8582 | 0.0000 |
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+ | No log | 42.0 | 294 | 1.7696 | 3e-05 |
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+ | No log | 43.0 | 301 | 1.6826 | 0.0000 |
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+ | No log | 44.0 | 308 | 2.1097 | 0.0000 |
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+ | No log | 45.0 | 315 | 1.8101 | 0.0000 |
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+ | No log | 46.0 | 322 | 1.8781 | 0.0000 |
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+ | No log | 47.0 | 329 | 1.6785 | 0.0000 |
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+ | No log | 48.0 | 336 | 1.7334 | 2e-05 |
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+ | No log | 49.0 | 343 | 1.7917 | 0.0000 |
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+ | No log | 50.0 | 350 | 1.6310 | 0.0000 |
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+ | No log | 51.0 | 357 | 1.5047 | 0.0000 |
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+ | No log | 52.0 | 364 | 1.6845 | 0.0000 |
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+ | No log | 53.0 | 371 | 1.6887 | 0.0000 |
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+ | No log | 54.0 | 378 | 1.6869 | 1e-05 |
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+ | No log | 55.0 | 385 | 1.6888 | 0.0000 |
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+ | No log | 56.0 | 392 | 1.7991 | 0.0000 |
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+ | No log | 57.0 | 399 | 1.8191 | 5e-06 |
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+ | No log | 58.0 | 406 | 1.8621 | 0.0000 |
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+ | No log | 59.0 | 413 | 1.8628 | 0.0000 |
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+ | No log | 60.0 | 420 | 1.8470 | 0.0 |
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  ### Framework versions
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