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Doowon96
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roberta-base-finetuned-tc

Text Classification
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Safetensors
roberta
Generated from Trainer
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  1. README.md +15 -15
  2. model.safetensors +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-base](https://huggingface.co/klue/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5808
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- - Accuracy: 0.8339
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- - F1: 0.8262
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- - Precision: 0.8514
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- - Recall: 0.8339
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 12 | 1.4409 | 0.5081 | 0.3423 | 0.2581 | 0.5081 |
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- | No log | 2.0 | 24 | 1.1479 | 0.6468 | 0.5563 | 0.5072 | 0.6468 |
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- | No log | 3.0 | 36 | 0.8593 | 0.7306 | 0.6905 | 0.6982 | 0.7306 |
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- | No log | 4.0 | 48 | 0.7135 | 0.7871 | 0.7662 | 0.7469 | 0.7871 |
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- | No log | 5.0 | 60 | 0.6572 | 0.8 | 0.7828 | 0.7702 | 0.8 |
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- | No log | 6.0 | 72 | 0.6270 | 0.8145 | 0.8036 | 0.8168 | 0.8145 |
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- | No log | 7.0 | 84 | 0.5952 | 0.8226 | 0.8090 | 0.8130 | 0.8226 |
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- | No log | 8.0 | 96 | 0.5966 | 0.8194 | 0.8088 | 0.8191 | 0.8194 |
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- | No log | 9.0 | 108 | 0.5763 | 0.8226 | 0.8100 | 0.8152 | 0.8226 |
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- | No log | 10.0 | 120 | 0.5808 | 0.8339 | 0.8262 | 0.8514 | 0.8339 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5805
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+ - Accuracy: 0.8378
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+ - F1: 0.8303
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+ - Precision: 0.8386
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+ - Recall: 0.8378
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 13 | 1.4532 | 0.4777 | 0.3088 | 0.2282 | 0.4777 |
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+ | No log | 2.0 | 26 | 1.1224 | 0.6190 | 0.5210 | 0.4641 | 0.6190 |
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+ | No log | 3.0 | 39 | 0.8175 | 0.7560 | 0.7238 | 0.7040 | 0.7560 |
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+ | No log | 4.0 | 52 | 0.7069 | 0.7932 | 0.7712 | 0.7526 | 0.7932 |
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+ | No log | 5.0 | 65 | 0.6515 | 0.8110 | 0.7895 | 0.7705 | 0.8110 |
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+ | No log | 6.0 | 78 | 0.6212 | 0.8170 | 0.7983 | 0.8023 | 0.8170 |
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+ | No log | 7.0 | 91 | 0.6025 | 0.8304 | 0.8163 | 0.8395 | 0.8304 |
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+ | No log | 8.0 | 104 | 0.5982 | 0.8318 | 0.8238 | 0.8330 | 0.8318 |
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+ | No log | 9.0 | 117 | 0.5815 | 0.8348 | 0.8260 | 0.8344 | 0.8348 |
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+ | No log | 10.0 | 130 | 0.5805 | 0.8378 | 0.8303 | 0.8386 | 0.8378 |
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  ### Framework versions
model.safetensors CHANGED
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