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RKessler
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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 +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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  license: mit
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- base_model: xlm-roberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # BLESSRelationTrain-1
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- This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-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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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.8 | 100 | 0.6949 | 0.5 |
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  | No log | 1.6 | 200 | 0.6932 | 0.5 |
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- | No log | 2.4 | 300 | 0.6939 | 0.5 |
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- | No log | 3.2 | 400 | 0.6935 | 0.5 |
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- | 0.7039 | 4.0 | 500 | 0.6937 | 0.5 |
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- | 0.7039 | 4.8 | 600 | 0.6939 | 0.5 |
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- | 0.7039 | 5.6 | 700 | 0.6933 | 0.5 |
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- | 0.7039 | 6.4 | 800 | 0.6941 | 0.5 |
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- | 0.7039 | 7.2 | 900 | 0.6932 | 0.5 |
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- | 0.6976 | 8.0 | 1000 | 0.6934 | 0.5 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: roberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # BLESSRelationTrain-1
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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: 0.6933
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  - Accuracy: 0.5
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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 | 0.8 | 100 | 0.7001 | 0.5 |
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  | No log | 1.6 | 200 | 0.6932 | 0.5 |
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+ | No log | 2.4 | 300 | 0.6940 | 0.5 |
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+ | No log | 3.2 | 400 | 0.7128 | 0.5 |
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+ | 0.7002 | 4.0 | 500 | 0.6970 | 0.5 |
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+ | 0.7002 | 4.8 | 600 | 0.7033 | 0.5 |
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+ | 0.7002 | 5.6 | 700 | 0.6931 | 0.5 |
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+ | 0.7002 | 6.4 | 800 | 0.6972 | 0.5 |
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+ | 0.7002 | 7.2 | 900 | 0.6936 | 0.5 |
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+ | 0.6973 | 8.0 | 1000 | 0.6933 | 0.5 |
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  ### Framework versions
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