djsull/logs_512
Browse files- README.md +13 -13
- model.safetensors +1 -1
- runs/May31_03-09-18_129-146-79-76/events.out.tfevents.1717124958.129-146-79-76.3730888.12 +3 -0
- runs/May31_03-09-42_129-146-79-76/events.out.tfevents.1717124983.129-146-79-76.3730888.13 +3 -0
- runs/May31_03-09-42_129-146-79-76/events.out.tfevents.1717125097.129-146-79-76.3730888.14 +3 -0
- tokenizer.json +2 -2
- training_args.bin +1 -1
README.md
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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.
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- Precision:
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- Recall:
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- F1:
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- Accuracy: 0.
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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 | 44 | 0.
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| No log | 2.0 | 88 | 0.
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| No log | 3.0 | 132 | 0.
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| No log | 4.0 | 176 | 0.
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| No log | 5.0 | 220 | 0.
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| No log | 6.0 | 264 | 0.
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| No log | 7.0 | 308 | 0.
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| No log | 8.0 | 352 | 0.
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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: 0.0008
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- Precision: 0.9900
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- Recall: 0.995
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- F1: 0.9925
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- Accuracy: 0.9999
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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 | 44 | 0.0039 | 0.9701 | 0.975 | 0.9726 | 0.9991 |
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| No log | 2.0 | 88 | 0.0018 | 0.8744 | 0.94 | 0.9060 | 0.9995 |
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| No log | 3.0 | 132 | 0.0011 | 0.9559 | 0.975 | 0.9653 | 0.9998 |
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| No log | 4.0 | 176 | 0.0008 | 0.9900 | 0.995 | 0.9925 | 0.9999 |
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| No log | 5.0 | 220 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 |
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| No log | 6.0 | 264 | 0.0007 | 0.9851 | 0.995 | 0.9900 | 0.9999 |
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| No log | 7.0 | 308 | 0.0007 | 0.9900 | 0.995 | 0.9925 | 0.9999 |
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| No log | 8.0 | 352 | 0.0007 | 0.9803 | 0.995 | 0.9876 | 0.9999 |
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### Framework versions
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model.safetensors
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tokenizer.json
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training_args.bin
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