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RKessler
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BLESSRelationTrain-3

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
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xet
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RKessler commited on
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End of training

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  1. README.md +11 -11
  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 [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: 0.6391
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- - Accuracy: 0.8653
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  ## Model description
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@@ -49,16 +49,16 @@ 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 | 0.8 | 100 | 0.6932 | 0.5 |
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- | No log | 1.6 | 200 | 0.6915 | 0.5030 |
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- | No log | 2.4 | 300 | 0.6910 | 0.5090 |
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  | No log | 3.2 | 400 | 0.6991 | 0.5 |
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- | 0.6931 | 4.0 | 500 | 0.5759 | 0.7096 |
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- | 0.6931 | 4.8 | 600 | 0.5579 | 0.8114 |
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- | 0.6931 | 5.6 | 700 | 0.4730 | 0.8323 |
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- | 0.6931 | 6.4 | 800 | 0.5539 | 0.8503 |
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- | 0.6931 | 7.2 | 900 | 0.6436 | 0.8653 |
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- | 0.3729 | 8.0 | 1000 | 0.6391 | 0.8653 |
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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: 0.6931
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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 | 0.6931 | 0.5 |
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+ | No log | 1.6 | 200 | 0.6945 | 0.5 |
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+ | No log | 2.4 | 300 | 0.6859 | 0.5 |
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  | No log | 3.2 | 400 | 0.6991 | 0.5 |
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+ | 0.6976 | 4.0 | 500 | 0.6958 | 0.5 |
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+ | 0.6976 | 4.8 | 600 | 0.6970 | 0.5 |
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+ | 0.6976 | 5.6 | 700 | 0.6932 | 0.5 |
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+ | 0.6976 | 6.4 | 800 | 0.6942 | 0.5 |
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+ | 0.6976 | 7.2 | 900 | 0.6932 | 0.5 |
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+ | 0.6955 | 8.0 | 1000 | 0.6931 | 0.5 |
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  ### Framework versions
pytorch_model.bin CHANGED
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