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RKessler
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VogagenRelation

Text Classification
Transformers
PyTorch
camembert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +40 -40
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 0.6927
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- - Accuracy: 0.5203
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  ## Model description
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@@ -49,44 +49,44 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.21 | 100 | 0.6928 | 0.5133 |
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- | No log | 0.42 | 200 | 0.6928 | 0.5148 |
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- | No log | 0.62 | 300 | 0.6928 | 0.5156 |
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- | No log | 0.83 | 400 | 0.6928 | 0.5156 |
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- | 0.6925 | 1.04 | 500 | 0.6928 | 0.5148 |
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- | 0.6925 | 1.25 | 600 | 0.6928 | 0.5156 |
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- | 0.6925 | 1.46 | 700 | 0.6928 | 0.5156 |
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- | 0.6925 | 1.66 | 800 | 0.6928 | 0.5172 |
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- | 0.6925 | 1.87 | 900 | 0.6928 | 0.5164 |
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- | 0.6929 | 2.08 | 1000 | 0.6928 | 0.5156 |
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- | 0.6929 | 2.29 | 1100 | 0.6928 | 0.5172 |
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- | 0.6929 | 2.49 | 1200 | 0.6928 | 0.5172 |
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- | 0.6929 | 2.7 | 1300 | 0.6928 | 0.5164 |
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- | 0.6929 | 2.91 | 1400 | 0.6928 | 0.5164 |
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- | 0.6928 | 3.12 | 1500 | 0.6928 | 0.5172 |
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- | 0.6928 | 3.33 | 1600 | 0.6928 | 0.5195 |
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- | 0.6928 | 3.53 | 1700 | 0.6928 | 0.5195 |
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- | 0.6928 | 3.74 | 1800 | 0.6928 | 0.5211 |
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- | 0.6928 | 3.95 | 1900 | 0.6928 | 0.5179 |
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- | 0.6927 | 4.16 | 2000 | 0.6928 | 0.5187 |
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- | 0.6927 | 4.37 | 2100 | 0.6928 | 0.5179 |
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- | 0.6927 | 4.57 | 2200 | 0.6927 | 0.5179 |
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- | 0.6927 | 4.78 | 2300 | 0.6927 | 0.5187 |
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- | 0.6927 | 4.99 | 2400 | 0.6927 | 0.5187 |
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- | 0.6929 | 5.2 | 2500 | 0.6928 | 0.5179 |
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- | 0.6929 | 5.41 | 2600 | 0.6928 | 0.5187 |
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- | 0.6929 | 5.61 | 2700 | 0.6928 | 0.5211 |
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- | 0.6929 | 5.82 | 2800 | 0.6927 | 0.5187 |
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- | 0.6929 | 6.03 | 2900 | 0.6927 | 0.5187 |
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- | 0.692 | 6.24 | 3000 | 0.6927 | 0.5195 |
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- | 0.692 | 6.44 | 3100 | 0.6927 | 0.5203 |
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- | 0.692 | 6.65 | 3200 | 0.6927 | 0.5203 |
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- | 0.692 | 6.86 | 3300 | 0.6927 | 0.5203 |
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- | 0.692 | 7.07 | 3400 | 0.6927 | 0.5203 |
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- | 0.6933 | 7.28 | 3500 | 0.6927 | 0.5203 |
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- | 0.6933 | 7.48 | 3600 | 0.6927 | 0.5203 |
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- | 0.6933 | 7.69 | 3700 | 0.6927 | 0.5203 |
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- | 0.6933 | 7.9 | 3800 | 0.6927 | 0.5203 |
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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: 0.6925
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+ - Accuracy: 0.5367
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.21 | 100 | 0.6925 | 0.5335 |
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+ | No log | 0.42 | 200 | 0.6925 | 0.5335 |
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+ | No log | 0.62 | 300 | 0.6925 | 0.5328 |
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+ | No log | 0.83 | 400 | 0.6925 | 0.5335 |
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+ | 0.6926 | 1.04 | 500 | 0.6925 | 0.5343 |
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+ | 0.6926 | 1.25 | 600 | 0.6925 | 0.5343 |
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+ | 0.6926 | 1.46 | 700 | 0.6925 | 0.5335 |
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+ | 0.6926 | 1.66 | 800 | 0.6925 | 0.5328 |
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+ | 0.6926 | 1.87 | 900 | 0.6925 | 0.5320 |
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+ | 0.6929 | 2.08 | 1000 | 0.6925 | 0.5335 |
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+ | 0.6929 | 2.29 | 1100 | 0.6925 | 0.5335 |
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+ | 0.6929 | 2.49 | 1200 | 0.6925 | 0.5328 |
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+ | 0.6929 | 2.7 | 1300 | 0.6925 | 0.5328 |
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+ | 0.6929 | 2.91 | 1400 | 0.6925 | 0.5335 |
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+ | 0.6931 | 3.12 | 1500 | 0.6925 | 0.5335 |
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+ | 0.6931 | 3.33 | 1600 | 0.6925 | 0.5320 |
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+ | 0.6931 | 3.53 | 1700 | 0.6925 | 0.5328 |
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+ | 0.6931 | 3.74 | 1800 | 0.6925 | 0.5335 |
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+ | 0.6931 | 3.95 | 1900 | 0.6925 | 0.5335 |
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+ | 0.6927 | 4.16 | 2000 | 0.6925 | 0.5320 |
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+ | 0.6927 | 4.37 | 2100 | 0.6925 | 0.5335 |
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+ | 0.6927 | 4.57 | 2200 | 0.6925 | 0.5335 |
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+ | 0.6927 | 4.78 | 2300 | 0.6925 | 0.5335 |
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+ | 0.6927 | 4.99 | 2400 | 0.6925 | 0.5335 |
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+ | 0.6931 | 5.2 | 2500 | 0.6925 | 0.5335 |
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+ | 0.6931 | 5.41 | 2600 | 0.6925 | 0.5343 |
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+ | 0.6931 | 5.61 | 2700 | 0.6925 | 0.5343 |
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+ | 0.6931 | 5.82 | 2800 | 0.6925 | 0.5359 |
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+ | 0.6931 | 6.03 | 2900 | 0.6925 | 0.5359 |
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+ | 0.6916 | 6.24 | 3000 | 0.6925 | 0.5343 |
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+ | 0.6916 | 6.44 | 3100 | 0.6925 | 0.5359 |
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+ | 0.6916 | 6.65 | 3200 | 0.6925 | 0.5359 |
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+ | 0.6916 | 6.86 | 3300 | 0.6925 | 0.5367 |
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+ | 0.6916 | 7.07 | 3400 | 0.6925 | 0.5367 |
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+ | 0.6935 | 7.28 | 3500 | 0.6925 | 0.5367 |
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+ | 0.6935 | 7.48 | 3600 | 0.6925 | 0.5367 |
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+ | 0.6935 | 7.69 | 3700 | 0.6925 | 0.5367 |
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+ | 0.6935 | 7.9 | 3800 | 0.6925 | 0.5367 |
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  ### Framework versions
pytorch_model.bin CHANGED
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