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BERRAMOU
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camembert-math-classification

Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
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BERRAMOU commited on
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  1. README.md +17 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0101
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  - F1 Macro: 1.0
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  - F1 Weighted: 1.0
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  - F1 Correct: 1.0
@@ -50,18 +50,28 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 0.1
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | F1 Correct | F1 Partiel | F1 Incorrect | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:----------:|:----------:|:------------:|:--------:|
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- | 0.6145 | 1.0 | 184 | 0.5866 | 0.6915 | 0.6915 | 0.9592 | 0.4433 | 0.672 | 0.7050 |
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- | 0.1819 | 2.0 | 368 | 0.1608 | 0.9615 | 0.9615 | 1.0 | 0.9456 | 0.9389 | 0.9616 |
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- | 0.0490 | 3.0 | 552 | 0.0301 | 0.9974 | 0.9974 | 1.0 | 0.9960 | 0.9960 | 0.9974 |
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- | 0.0309 | 4.0 | 736 | 0.0126 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0136 | 5.0 | 920 | 0.0101 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
 
 
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0007
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  - F1 Macro: 1.0
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  - F1 Weighted: 1.0
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  - F1 Correct: 1.0
 
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 0.1
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | F1 Correct | F1 Partiel | F1 Incorrect | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:----------:|:----------:|:------------:|:--------:|
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+ | 0.8191 | 1.0 | 184 | 0.8873 | 0.4551 | 0.4551 | 0.7628 | 0.0 | 0.6024 | 0.5370 |
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+ | 0.3850 | 2.0 | 368 | 0.2883 | 0.9321 | 0.9321 | 0.9882 | 0.9054 | 0.9028 | 0.9325 |
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+ | 0.0963 | 3.0 | 552 | 0.1260 | 0.9679 | 0.9679 | 0.9902 | 0.95 | 0.9637 | 0.9683 |
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+ | 0.0478 | 4.0 | 736 | 0.0117 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0138 | 5.0 | 920 | 0.0113 | 0.9974 | 0.9974 | 1.0 | 0.9960 | 0.9960 | 0.9974 |
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+ | 0.0067 | 6.0 | 1104 | 0.0030 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0122 | 7.0 | 1288 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0127 | 8.0 | 1472 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0125 | 9.0 | 1656 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0015 | 10.0 | 1840 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0085 | 11.0 | 2024 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0119 | 12.0 | 2208 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0026 | 13.0 | 2392 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0010 | 14.0 | 2576 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0010 | 15.0 | 2760 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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