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korca_bae-roberta-base-boolq-finetuned-lora-tweet_eval_irony

Text Classification
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Safetensors
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Eval Results
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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: 0.6670157068062827
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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 [korca/bae-roberta-base-boolq](https://huggingface.co/korca/bae-roberta-base-boolq) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6670
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  ## Model description
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@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4942 | None | 0 |
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- | 0.5874 | 0.7137 | 0 |
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- | 0.6084 | 0.6797 | 1 |
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- | 0.6105 | 0.6611 | 2 |
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- | 0.6199 | 0.6501 | 3 |
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- | 0.6346 | 0.6265 | 4 |
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- | 0.6440 | 0.6142 | 5 |
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- | 0.6618 | 0.5954 | 6 |
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- | 0.6670 | 0.5909 | 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: 0.6712041884816754
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [korca/bae-roberta-base-boolq](https://huggingface.co/korca/bae-roberta-base-boolq) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6712
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4942 | None | 0 |
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+ | 0.5864 | 0.7118 | 0 |
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+ | 0.5885 | 0.6780 | 1 |
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+ | 0.6 | 0.6617 | 2 |
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+ | 0.6230 | 0.6414 | 3 |
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+ | 0.6513 | 0.6204 | 4 |
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+ | 0.6335 | 0.6058 | 5 |
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+ | 0.6461 | 0.5959 | 6 |
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+ | 0.6712 | 0.5967 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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