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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 +12 -15
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6962
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  - Accuracy: 0.5
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  - Precision: 0.5
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  - Recall: 1.0
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 0.21 | 100 | 0.7035 | 0.4945 | 0.4972 | 0.9750 | 0.6586 |
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- | No log | 0.42 | 200 | 0.6967 | 0.4852 | 0.4912 | 0.8253 | 0.6158 |
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- | No log | 0.62 | 300 | 0.6965 | 0.4899 | 0.4880 | 0.4119 | 0.4467 |
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- | No log | 0.83 | 400 | 0.6931 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6974 | 1.04 | 500 | 0.6959 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6974 | 1.25 | 600 | 0.7093 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6974 | 1.46 | 700 | 0.6949 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6974 | 1.66 | 800 | 0.6943 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6974 | 1.87 | 900 | 0.6947 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6965 | 2.08 | 1000 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6965 | 2.29 | 1100 | 0.6948 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6965 | 2.49 | 1200 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6965 | 2.7 | 1300 | 0.6934 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6965 | 2.91 | 1400 | 0.6962 | 0.5 | 0.5 | 1.0 | 0.6667 |
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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: 0.6952
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  - Accuracy: 0.5
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  - Precision: 0.5
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  - Recall: 1.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.21 | 100 | 0.6928 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | No log | 0.42 | 200 | 0.7024 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | No log | 0.62 | 300 | 0.7194 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | No log | 0.83 | 400 | 0.6944 | 0.4992 | 0.0 | 0.0 | 0.0 |
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+ | 0.6974 | 1.04 | 500 | 0.6973 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6974 | 1.25 | 600 | 0.7078 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6974 | 1.46 | 700 | 0.6945 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6974 | 1.66 | 800 | 0.6942 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6974 | 1.87 | 900 | 0.6945 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6962 | 2.08 | 1000 | 0.6932 | 0.4992 | 0.4 | 0.0031 | 0.0062 |
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+ | 0.6962 | 2.29 | 1100 | 0.6952 | 0.5 | 0.5 | 1.0 | 0.6667 |
 
 
 
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  ### Framework versions
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