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 [ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000](https://huggingface.co/ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000) 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: 0.6240837696335079
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name: accuracy
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---
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This model is a fine-tuned version of [ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000](https://huggingface.co/ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000) on the tweet_eval dataset.
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It achieves the following results on the evaluation set:
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- accuracy: 0.6241
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## Model description
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| accuracy | train_loss | epoch |
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|:--------:|:----------:|:-----:|
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| 0.5204 | None | 0 |
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| 0.5864 | 0.7013 | 0 |
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| 0.5853 | 0.6647 | 1 |
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| 0.6052 | 0.6460 | 2 |
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| 0.6209 | 0.6378 | 3 |
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| 0.6157 | 0.6177 | 4 |
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| 0.5906 | 0.6162 | 5 |
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| 0.6262 | 0.6093 | 6 |
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| 0.6241 | 0.6004 | 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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version https://git-lfs.github.com/spec/v1
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size 160400
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