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Aureliano_distilbert-base-uncased-if-finetuned-lora-tweet_eval_irony

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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
@@ -23,7 +23,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.6418848167539267
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  name: accuracy
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  ---
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@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Aureliano/distilbert-base-uncased-if](https://huggingface.co/Aureliano/distilbert-base-uncased-if) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6419
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  ## Model description
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@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4932 | None | 0 |
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- | 0.5979 | 0.7493 | 0 |
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- | 0.6084 | 0.6570 | 1 |
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- | 0.6073 | 0.6235 | 2 |
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- | 0.6335 | 0.6041 | 3 |
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- | 0.6471 | 0.5785 | 4 |
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- | 0.6073 | 0.5587 | 5 |
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- | 0.6492 | 0.5355 | 6 |
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- | 0.6419 | 0.5280 | 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: 0.6481675392670158
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Aureliano/distilbert-base-uncased-if](https://huggingface.co/Aureliano/distilbert-base-uncased-if) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6482
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5225 | None | 0 |
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+ | 0.5832 | 0.7314 | 0 |
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+ | 0.6105 | 0.6581 | 1 |
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+ | 0.6168 | 0.6184 | 2 |
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+ | 0.6597 | 0.5990 | 3 |
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+ | 0.6440 | 0.5793 | 4 |
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+ | 0.6157 | 0.5538 | 5 |
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+ | 0.6471 | 0.5347 | 6 |
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+ | 0.6482 | 0.5256 | 7 |
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  ### Framework versions
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