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hyunkookim
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roberta-base-klue-ynat-classification-using-hg_api-epoch_2

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End of training

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Files changed (6) hide show
  1. README.md +3 -3
  2. emissions.csv +2 -0
  3. model.safetensors +1 -1
  4. runs/Aug23_17-58-58_hyunkoo4090/events.out.tfevents.1724403543.hyunkoo4090.3006912.0 +3 -0
  5. runs/Aug23_17-58-58_hyunkoo4090/events.out.tfevents.1724403881.hyunkoo4090.3006912.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5397
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  - Accuracy: 0.863
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  ## Model description
@@ -49,8 +49,8 @@ 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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- | 0.6251 | 1.0 | 1250 | 0.8923 | 0.771 |
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- | 0.3545 | 2.0 | 2500 | 0.5677 | 0.858 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5332
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  - Accuracy: 0.863
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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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+ | 0.5932 | 1.0 | 1250 | 0.7241 | 0.805 |
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+ | 0.3366 | 2.0 | 2500 | 0.6045 | 0.846 |
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  ### Framework versions
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