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RKessler
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EVALutionRelationTrain-4

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

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  1. README.md +14 -14
  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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6938
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  - Accuracy: 0.5
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  - Precision: 0.0
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  - Recall: 0.0
@@ -56,19 +56,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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  | No log | 0.35 | 100 | 0.7110 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | No log | 0.71 | 200 | 0.7134 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | No log | 1.06 | 300 | 0.6937 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | No log | 1.42 | 400 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.7019 | 1.77 | 500 | 0.6945 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.7019 | 2.13 | 600 | 0.6971 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.7019 | 2.48 | 700 | 0.6972 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.7019 | 2.84 | 800 | 0.6980 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.7019 | 3.19 | 900 | 0.6939 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6984 | 3.55 | 1000 | 0.6943 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6984 | 3.9 | 1100 | 0.6949 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6984 | 4.26 | 1200 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6984 | 4.61 | 1300 | 0.6979 | 0.5 | 0.5 | 1.0 | 0.6667 |
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- | 0.6984 | 4.96 | 1400 | 0.6938 | 0.5 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6940
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  - Accuracy: 0.5
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  - Precision: 0.0
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  - Recall: 0.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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  | No log | 0.35 | 100 | 0.7110 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | No log | 0.71 | 200 | 0.7130 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | No log | 1.06 | 300 | 0.6943 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | No log | 1.42 | 400 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.7004 | 1.77 | 500 | 0.6946 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7004 | 2.13 | 600 | 0.6999 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7004 | 2.48 | 700 | 0.6963 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.7004 | 2.84 | 800 | 0.6953 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7004 | 3.19 | 900 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6979 | 3.55 | 1000 | 0.6942 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.6979 | 3.9 | 1100 | 0.6957 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.6979 | 4.26 | 1200 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.6979 | 4.61 | 1300 | 0.6971 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.6979 | 4.96 | 1400 | 0.6940 | 0.5 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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