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epinfomax
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mbti-jp-classifier

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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  1. README.md +4 -4
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6702
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  - Accuracy: 0.6065
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  - F1: 0.7551
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  - Precision: 0.6065
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.6747 | 1.0 | 1164 | 0.6631 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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- | 0.6817 | 2.0 | 2328 | 0.6625 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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- | 0.6742 | 3.0 | 3492 | 0.6653 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6703
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  - Accuracy: 0.6065
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  - F1: 0.7551
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  - Precision: 0.6065
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6727 | 1.0 | 1164 | 0.6628 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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+ | 0.6811 | 2.0 | 2328 | 0.6626 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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+ | 0.6706 | 3.0 | 3492 | 0.6629 | 0.6231 | 0.7678 | 0.6231 | 1.0 |
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  ### Framework versions
model.safetensors CHANGED
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