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BLESSRelationTrain-1

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

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  1. README.md +19 -17
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -5,6 +5,9 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: BLESSRelationTrain-1
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  results: []
@@ -17,8 +20,11 @@ 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: 0.6935
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  - Accuracy: 0.5
 
 
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.35 | 100 | 0.7594 | 0.5 |
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- | No log | 0.71 | 200 | 0.7123 | 0.5 |
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- | No log | 1.06 | 300 | 0.6951 | 0.5 |
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- | No log | 1.42 | 400 | 0.6933 | 0.5 |
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- | 0.7005 | 1.77 | 500 | 0.6977 | 0.5 |
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- | 0.7005 | 2.13 | 600 | 0.6991 | 0.5 |
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- | 0.7005 | 2.48 | 700 | 0.6987 | 0.5 |
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- | 0.7005 | 2.84 | 800 | 0.6970 | 0.5 |
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- | 0.7005 | 3.19 | 900 | 0.6947 | 0.5 |
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- | 0.6993 | 3.55 | 1000 | 0.6943 | 0.5 |
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- | 0.6993 | 3.9 | 1100 | 0.6954 | 0.5 |
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- | 0.6993 | 4.26 | 1200 | 0.6939 | 0.5 |
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- | 0.6993 | 4.61 | 1300 | 0.6944 | 0.5 |
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- | 0.6993 | 4.96 | 1400 | 0.6935 | 0.5 |
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  ### Framework versions
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ - precision
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+ - recall
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+ - f1
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  model-index:
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  - name: BLESSRelationTrain-1
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  results: []
 
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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: 0.6934
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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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+ - F1: 0.0
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.8 | 100 | 0.6936 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | No log | 1.6 | 200 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.4 | 300 | 0.6945 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | No log | 3.2 | 400 | 0.7108 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7003 | 4.0 | 500 | 0.6976 | 0.5 | 0.5 | 1.0 | 0.6667 |
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+ | 0.7003 | 4.8 | 600 | 0.6995 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7003 | 5.6 | 700 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7003 | 6.4 | 800 | 0.6965 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.7003 | 7.2 | 900 | 0.6938 | 0.5 | 0.0 | 0.0 | 0.0 |
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+ | 0.6957 | 8.0 | 1000 | 0.6934 | 0.5 | 0.0 | 0.0 | 0.0 |
 
 
 
 
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  ### Framework versions
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