End of training
Browse files- README.md +119 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: camembert/camembert-base-ccnet
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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_ccnet_classification_tools_NEFTune_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_ccnet_classification_tools_NEFTune_fr
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This model is a fine-tuned version of [camembert/camembert-base-ccnet](https://huggingface.co/camembert/camembert-base-ccnet) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2866
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- Accuracy: 0.95
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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 | Accuracy | Rate |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 2.038 | 1.0 | 7 | 1.7370 | 0.65 | 0.0001 |
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| 1.6169 | 2.0 | 14 | 1.2630 | 0.825 | 0.0001 |
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| 1.1861 | 3.0 | 21 | 0.8659 | 0.95 | 0.0001 |
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| 0.8284 | 4.0 | 28 | 0.6075 | 0.95 | 0.0001 |
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| 0.6032 | 5.0 | 35 | 0.4207 | 0.975 | 0.0001 |
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| 0.3928 | 6.0 | 42 | 0.3817 | 0.95 | 9e-05 |
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| 0.2458 | 7.0 | 49 | 0.3378 | 0.95 | 0.0001 |
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| 0.1683 | 8.0 | 56 | 0.4320 | 0.9 | 0.0001 |
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| 0.127 | 9.0 | 63 | 0.3592 | 0.95 | 0.0001 |
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| 0.0909 | 10.0 | 70 | 0.3695 | 0.925 | 0.0001 |
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| 0.0719 | 11.0 | 77 | 0.3377 | 0.925 | 0.0001 |
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| 0.0679 | 12.0 | 84 | 0.2450 | 0.95 | 8e-05 |
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| 0.0865 | 13.0 | 91 | 0.2783 | 0.9 | 0.0001 |
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| 0.0519 | 14.0 | 98 | 0.2265 | 0.975 | 0.0001 |
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| 0.0497 | 15.0 | 105 | 0.2801 | 0.95 | 0.0001 |
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| 0.0993 | 16.0 | 112 | 0.3733 | 0.925 | 0.0001 |
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| 0.0358 | 17.0 | 119 | 0.4012 | 0.9 | 0.0001 |
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| 0.0356 | 18.0 | 126 | 0.2591 | 0.95 | 7e-05 |
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| 0.0279 | 19.0 | 133 | 0.2687 | 0.95 | 0.0001 |
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| 0.0303 | 20.0 | 140 | 0.2650 | 0.95 | 0.0001 |
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| 0.0246 | 21.0 | 147 | 0.2337 | 0.95 | 0.0001 |
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| 0.0257 | 22.0 | 154 | 0.2274 | 0.95 | 0.0001 |
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| 0.0448 | 23.0 | 161 | 0.2223 | 0.975 | 0.0001 |
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| 0.0567 | 24.0 | 168 | 0.2157 | 0.975 | 6e-05 |
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| 0.0182 | 25.0 | 175 | 0.2096 | 0.975 | 0.0001 |
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| 0.0282 | 26.0 | 182 | 0.2118 | 0.975 | 0.0001 |
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| 0.0232 | 27.0 | 189 | 0.2146 | 0.975 | 0.0001 |
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| 0.0212 | 28.0 | 196 | 0.2162 | 0.975 | 0.0001 |
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| 0.0197 | 29.0 | 203 | 0.2185 | 0.975 | 0.0001 |
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| 0.0203 | 30.0 | 210 | 0.2215 | 0.975 | 5e-05 |
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| 0.0172 | 31.0 | 217 | 0.2263 | 0.975 | 0.0000 |
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| 0.0174 | 32.0 | 224 | 0.2347 | 0.975 | 0.0000 |
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| 0.0152 | 33.0 | 231 | 0.2426 | 0.95 | 0.0000 |
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| 0.0164 | 34.0 | 238 | 0.2443 | 0.95 | 0.0000 |
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| 0.018 | 35.0 | 245 | 0.2557 | 0.95 | 0.0000 |
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| 0.0328 | 36.0 | 252 | 0.2624 | 0.95 | 4e-05 |
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| 0.0152 | 37.0 | 259 | 0.2602 | 0.95 | 0.0000 |
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| 0.0147 | 38.0 | 266 | 0.2615 | 0.95 | 0.0000 |
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| 0.0152 | 39.0 | 273 | 0.2634 | 0.95 | 0.0000 |
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| 0.015 | 40.0 | 280 | 0.2699 | 0.95 | 0.0000 |
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| 0.0147 | 41.0 | 287 | 0.2726 | 0.95 | 0.0000 |
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| 0.0148 | 42.0 | 294 | 0.2783 | 0.95 | 3e-05 |
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| 0.033 | 43.0 | 301 | 0.2793 | 0.95 | 0.0000 |
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| 0.0143 | 44.0 | 308 | 0.2742 | 0.95 | 0.0000 |
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| 0.0143 | 45.0 | 315 | 0.2681 | 0.95 | 0.0000 |
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| 0.0139 | 46.0 | 322 | 0.2683 | 0.95 | 0.0000 |
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| 0.0141 | 47.0 | 329 | 0.2706 | 0.95 | 0.0000 |
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| 0.0132 | 48.0 | 336 | 0.2715 | 0.95 | 2e-05 |
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| 0.0157 | 49.0 | 343 | 0.2785 | 0.95 | 0.0000 |
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| 0.0142 | 50.0 | 350 | 0.2809 | 0.95 | 0.0000 |
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| 0.0138 | 51.0 | 357 | 0.2818 | 0.95 | 0.0000 |
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| 0.0141 | 52.0 | 364 | 0.2852 | 0.95 | 0.0000 |
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| 0.015 | 53.0 | 371 | 0.2868 | 0.95 | 0.0000 |
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| 0.0145 | 54.0 | 378 | 0.2876 | 0.95 | 1e-05 |
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| 0.0135 | 55.0 | 385 | 0.2854 | 0.95 | 0.0000 |
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| 0.0146 | 56.0 | 392 | 0.2862 | 0.95 | 0.0000 |
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| 0.0136 | 57.0 | 399 | 0.2857 | 0.95 | 5e-06 |
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| 0.014 | 58.0 | 406 | 0.2853 | 0.95 | 0.0000 |
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| 0.0133 | 59.0 | 413 | 0.2862 | 0.95 | 0.0000 |
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| 0.0125 | 60.0 | 420 | 0.2866 | 0.95 | 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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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 442581361
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version https://git-lfs.github.com/spec/v1
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oid sha256:90b1d3538c6f6d34f39fc7915ec50b8a3caee374c914d5d1799a340993d7660e
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size 442581361
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