Finished training.
Browse files- README.md +11 -11
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
README.md
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args: irony
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metrics:
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- type: accuracy
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value: 0.
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name: accuracy
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---
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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [ishan/bert-base-uncased-mnli](https://huggingface.co/ishan/bert-base-uncased-mnli) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.
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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: irony
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metrics:
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- type: accuracy
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value: 0.6921465968586388
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name: accuracy
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---
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This model is a fine-tuned version of [ishan/bert-base-uncased-mnli](https://huggingface.co/ishan/bert-base-uncased-mnli) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6921
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.4607 | None | 0 |
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| 0.5927 | 0.6880 | 0 |
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| 0.6168 | 0.6484 | 1 |
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| 0.6524 | 0.6051 | 2 |
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| 0.6628 | 0.5782 | 3 |
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| 0.6723 | 0.5502 | 4 |
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| 0.6859 | 0.5350 | 5 |
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| 0.6806 | 0.5306 | 6 |
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| 0.6921 | 0.5219 | 7 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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],
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"task_type": "SEQ_CLS",
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"use_rslora": false
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query"
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],
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"task_type": "SEQ_CLS",
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"use_rslora": false
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adapter_model.safetensors
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oid sha256:
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size 160400
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size 160400
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