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zenkri_autotrain-Arabic_Poetry_by_Subject-920730230-finetuned-lora-tweet_eval_irony

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Safetensors
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Eval Results
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Finished training.

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  1. README.md +11 -11
  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: 0.6649214659685864
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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 [zenkri/autotrain-Arabic_Poetry_by_Subject-920730230](https://huggingface.co/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6649
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  ## Model description
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@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.5162 | None | 0 |
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- | 0.5864 | 0.6950 | 0 |
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- | 0.6199 | 0.6508 | 1 |
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- | 0.6188 | 0.6149 | 2 |
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- | 0.6325 | 0.5928 | 3 |
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- | 0.6471 | 0.5665 | 4 |
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- | 0.6586 | 0.5569 | 5 |
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- | 0.6524 | 0.5395 | 6 |
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- | 0.6649 | 0.5286 | 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: 0.6628272251308901
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [zenkri/autotrain-Arabic_Poetry_by_Subject-920730230](https://huggingface.co/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6628
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4743 | None | 0 |
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+ | 0.5791 | 0.6966 | 0 |
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+ | 0.6157 | 0.6493 | 1 |
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+ | 0.6272 | 0.6133 | 2 |
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+ | 0.6230 | 0.5932 | 3 |
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+ | 0.6524 | 0.5752 | 4 |
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+ | 0.6503 | 0.5519 | 5 |
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+ | 0.6576 | 0.5458 | 6 |
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+ | 0.6628 | 0.5285 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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