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binary_every_exp

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djsull/binary_every_exp

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Aug22_06-54-50_129-146-79-76/events.out.tfevents.1724309691.129-146-79-76.1364396.17 +3 -0
  4. runs/Aug22_06-54-50_129-146-79-76/events.out.tfevents.1724309707.129-146-79-76.1364396.18 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1884
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- - Precision: 0.8261
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  - Recall: 1.0
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- - F1: 0.9048
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- - Accuracy: 0.92
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  ## Model description
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@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 10 | 0.2445 | 0.8261 | 1.0 | 0.9048 | 0.92 |
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- | No log | 2.0 | 20 | 0.1884 | 0.8261 | 1.0 | 0.9048 | 0.92 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1122
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+ - Precision: 0.96
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  - Recall: 1.0
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+ - F1: 0.9796
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+ - Accuracy: 0.98
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 10 | 0.1122 | 0.96 | 1.0 | 0.9796 | 0.98 |
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+ | No log | 2.0 | 20 | 0.1316 | 0.9565 | 0.9167 | 0.9362 | 0.94 |
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  ### Framework versions
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