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RKessler
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VogagenRelation

Text Classification
Transformers
PyTorch
camembert
Generated from Trainer
Inference Endpoints
Model card Files Community
RKessler commited on
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End of training

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  1. README.md +21 -19
  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: 0.6932
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- - Accuracy: 0.5
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  ## Model description
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@@ -49,23 +49,25 @@ 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 | 0.6799 | 0.5031 |
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- | No log | 0.42 | 200 | 0.6973 | 0.5008 |
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- | No log | 0.62 | 300 | 0.7107 | 0.5 |
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- | No log | 0.83 | 400 | 0.6933 | 0.5 |
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- | 0.6956 | 1.04 | 500 | 0.6947 | 0.5 |
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- | 0.6956 | 1.25 | 600 | 0.7037 | 0.5 |
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- | 0.6956 | 1.46 | 700 | 0.6755 | 0.5889 |
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- | 0.6956 | 1.66 | 800 | 0.6836 | 0.5476 |
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- | 0.6956 | 1.87 | 900 | 0.6932 | 0.4984 |
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- | 0.6919 | 2.08 | 1000 | 0.6934 | 0.5 |
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- | 0.6919 | 2.29 | 1100 | 0.6959 | 0.5 |
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- | 0.6919 | 2.49 | 1200 | 0.6933 | 0.5 |
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- | 0.6919 | 2.7 | 1300 | 0.6936 | 0.5 |
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- | 0.6919 | 2.91 | 1400 | 0.6987 | 0.5 |
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- | 0.696 | 3.12 | 1500 | 0.6950 | 0.5 |
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- | 0.696 | 3.33 | 1600 | 0.6936 | 0.5 |
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- | 0.696 | 3.53 | 1700 | 0.6932 | 0.5 |
 
 
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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: 0.4009
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+ - Accuracy: 0.8885
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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 | 0.6667 | 0.6006 |
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+ | No log | 0.42 | 200 | 0.6039 | 0.7137 |
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+ | No log | 0.62 | 300 | 0.6321 | 0.6677 |
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+ | No log | 0.83 | 400 | 0.5410 | 0.7715 |
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+ | 0.6555 | 1.04 | 500 | 0.5710 | 0.7317 |
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+ | 0.6555 | 1.25 | 600 | 0.5570 | 0.7621 |
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+ | 0.6555 | 1.46 | 700 | 0.5420 | 0.7769 |
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+ | 0.6555 | 1.66 | 800 | 0.5119 | 0.8011 |
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+ | 0.6555 | 1.87 | 900 | 0.3608 | 0.8674 |
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+ | 0.4846 | 2.08 | 1000 | 0.4312 | 0.8565 |
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+ | 0.4846 | 2.29 | 1100 | 0.5109 | 0.8409 |
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+ | 0.4846 | 2.49 | 1200 | 0.3783 | 0.8768 |
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+ | 0.4846 | 2.7 | 1300 | 0.5244 | 0.8354 |
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+ | 0.4846 | 2.91 | 1400 | 0.3986 | 0.8713 |
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+ | 0.3439 | 3.12 | 1500 | 0.4613 | 0.8736 |
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+ | 0.3439 | 3.33 | 1600 | 0.3658 | 0.8846 |
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+ | 0.3439 | 3.53 | 1700 | 0.3890 | 0.8830 |
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+ | 0.3439 | 3.74 | 1800 | 0.4028 | 0.8877 |
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+ | 0.3439 | 3.95 | 1900 | 0.4009 | 0.8885 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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