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camembert_ccnet_classification_tools_classifier-only_fr-p0.2

Text Classification
Transformers
PyTorch
camembert
Generated from Trainer
Inference Endpoints
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README.md ADDED
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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_classifier-only_fr-p0.2
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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_ccnet_classification_tools_classifier-only_fr-p0.2
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+
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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: 0.1673
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+ - Accuracy: 0.95
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+ - Learning Rate: 0.0
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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: 0.001
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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 | Accuracy | Rate |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 7 | 0.4658 | 0.825 | 0.0010 |
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+ | No log | 2.0 | 14 | 0.3444 | 0.95 | 0.0010 |
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+ | No log | 3.0 | 21 | 0.2803 | 0.925 | 0.0009 |
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+ | No log | 4.0 | 28 | 0.3995 | 0.825 | 0.0009 |
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+ | No log | 5.0 | 35 | 0.2299 | 0.95 | 0.0009 |
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+ | No log | 6.0 | 42 | 0.3046 | 0.925 | 0.0009 |
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+ | No log | 7.0 | 49 | 0.4598 | 0.8 | 0.0009 |
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+ | No log | 8.0 | 56 | 0.2019 | 0.95 | 0.0009 |
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+ | No log | 9.0 | 63 | 0.2067 | 0.925 | 0.0008 |
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+ | No log | 10.0 | 70 | 0.3652 | 0.9 | 0.0008 |
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+ | No log | 11.0 | 77 | 0.2074 | 0.925 | 0.0008 |
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+ | No log | 12.0 | 84 | 0.3108 | 0.875 | 0.0008 |
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+ | No log | 13.0 | 91 | 0.2461 | 0.975 | 0.0008 |
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+ | No log | 14.0 | 98 | 0.2046 | 0.975 | 0.0008 |
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+ | No log | 15.0 | 105 | 0.3392 | 0.85 | 0.0008 |
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+ | No log | 16.0 | 112 | 0.2231 | 0.95 | 0.0007 |
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+ | No log | 17.0 | 119 | 0.3282 | 0.9 | 0.0007 |
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+ | No log | 18.0 | 126 | 0.2064 | 0.975 | 0.0007 |
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+ | No log | 19.0 | 133 | 0.2215 | 0.925 | 0.0007 |
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+ | No log | 20.0 | 140 | 0.2380 | 0.9 | 0.0007 |
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+ | No log | 21.0 | 147 | 0.1949 | 0.975 | 0.0007 |
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+ | No log | 22.0 | 154 | 0.1659 | 0.95 | 0.0006 |
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+ | No log | 23.0 | 161 | 0.2391 | 0.9 | 0.0006 |
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+ | No log | 24.0 | 168 | 0.2423 | 0.95 | 0.0006 |
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+ | No log | 25.0 | 175 | 0.2612 | 0.9 | 0.0006 |
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+ | No log | 26.0 | 182 | 0.2852 | 0.875 | 0.0006 |
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+ | No log | 27.0 | 189 | 0.2253 | 0.95 | 0.0006 |
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+ | No log | 28.0 | 196 | 0.2657 | 0.9 | 0.0005 |
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+ | No log | 29.0 | 203 | 0.1879 | 0.95 | 0.0005 |
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+ | No log | 30.0 | 210 | 0.1927 | 0.95 | 0.0005 |
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+ | No log | 31.0 | 217 | 0.2760 | 0.9 | 0.0005 |
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+ | No log | 32.0 | 224 | 0.2340 | 0.975 | 0.0005 |
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+ | No log | 33.0 | 231 | 0.1929 | 0.95 | 0.0005 |
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+ | No log | 34.0 | 238 | 0.1898 | 0.925 | 0.0004 |
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+ | No log | 35.0 | 245 | 0.1868 | 0.975 | 0.0004 |
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+ | No log | 36.0 | 252 | 0.1988 | 0.95 | 0.0004 |
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+ | No log | 37.0 | 259 | 0.2276 | 0.9 | 0.0004 |
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+ | No log | 38.0 | 266 | 0.1873 | 0.925 | 0.0004 |
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+ | No log | 39.0 | 273 | 0.1512 | 0.975 | 0.0003 |
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+ | No log | 40.0 | 280 | 0.1580 | 0.975 | 0.0003 |
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+ | No log | 41.0 | 287 | 0.1751 | 0.95 | 0.0003 |
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+ | No log | 42.0 | 294 | 0.2039 | 0.925 | 0.0003 |
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+ | No log | 43.0 | 301 | 0.2150 | 0.9 | 0.0003 |
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+ | No log | 44.0 | 308 | 0.1601 | 0.975 | 0.0003 |
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+ | No log | 45.0 | 315 | 0.1538 | 0.975 | 0.0003 |
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+ | No log | 46.0 | 322 | 0.1678 | 0.975 | 0.0002 |
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+ | No log | 47.0 | 329 | 0.1763 | 0.95 | 0.0002 |
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+ | No log | 48.0 | 336 | 0.1952 | 0.95 | 0.0002 |
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+ | No log | 49.0 | 343 | 0.1751 | 0.95 | 0.0002 |
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+ | No log | 50.0 | 350 | 0.1659 | 0.975 | 0.0002 |
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+ | No log | 51.0 | 357 | 0.1716 | 0.975 | 0.0001 |
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+ | No log | 52.0 | 364 | 0.1912 | 0.975 | 0.0001 |
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+ | No log | 53.0 | 371 | 0.1950 | 0.95 | 0.0001 |
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+ | No log | 54.0 | 378 | 0.2143 | 0.925 | 0.0001 |
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+ | No log | 55.0 | 385 | 0.2027 | 0.925 | 0.0001 |
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+ | No log | 56.0 | 392 | 0.1877 | 0.925 | 0.0001 |
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+ | No log | 57.0 | 399 | 0.1811 | 0.95 | 5e-05 |
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+ | No log | 58.0 | 406 | 0.1748 | 0.95 | 0.0000 |
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+ | No log | 59.0 | 413 | 0.1677 | 0.95 | 0.0000 |
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+ | No log | 60.0 | 420 | 0.1673 | 0.95 | 0.0 |
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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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