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amyma21_sincere_question_classification-finetuned-lora-tweet_eval_irony

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Finished training.

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  1. README.md +10 -10
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.6722513089005235
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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 [amyma21/sincere_question_classification](https://huggingface.co/amyma21/sincere_question_classification) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6723
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5277 | None | 0 |
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- | 0.5990 | 0.7477 | 0 |
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- | 0.6136 | 0.6619 | 1 |
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- | 0.6199 | 0.6392 | 2 |
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- | 0.6628 | 0.6115 | 3 |
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- | 0.6628 | 0.5830 | 4 |
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- | 0.6492 | 0.5611 | 5 |
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- | 0.6712 | 0.5495 | 6 |
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- | 0.6723 | 0.5400 | 7 |
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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: 0.6743455497382199
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [amyma21/sincere_question_classification](https://huggingface.co/amyma21/sincere_question_classification) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6743
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5277 | None | 0 |
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+ | 0.5979 | 0.7473 | 0 |
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+ | 0.6052 | 0.6626 | 1 |
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+ | 0.6188 | 0.6412 | 2 |
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+ | 0.6513 | 0.6148 | 3 |
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+ | 0.6576 | 0.5881 | 4 |
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+ | 0.6398 | 0.5681 | 5 |
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+ | 0.6545 | 0.5578 | 6 |
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+ | 0.6743 | 0.5471 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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