Finished training.
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README.md
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args: default
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metrics:
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value: 0.
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name: accuracy
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---
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@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [moghis/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/moghis/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
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It achieves the following results on the evaluation set:
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## Model description
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| accuracy | train_loss | epoch |
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### Framework versions
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args: default
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metrics:
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- type: accuracy
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value: 0.9397368421052632
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name: accuracy
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---
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This model is a fine-tuned version of [moghis/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/moghis/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.9397
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.2412 | None | 0 |
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| 0.9262 | 0.2672 | 0 |
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| 0.9313 | 0.2022 | 1 |
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| 0.9372 | 0.1792 | 2 |
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| 0.9397 | 0.1623 | 3 |
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### Framework versions
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adapter_model.safetensors
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