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kyleinincubated_autonlp-cat333-624217911-finetuned-lora-tweet_eval_irony

Text Classification
PEFT
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: 0.5842931937172775
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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 [kyleinincubated/autonlp-cat333-624217911](https://huggingface.co/kyleinincubated/autonlp-cat333-624217911) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5843
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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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- | 0.5037 | None | 0 |
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- | 0.5550 | 0.7002 | 0 |
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- | 0.5581 | 0.6860 | 1 |
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- | 0.5613 | 0.6682 | 2 |
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- | 0.5634 | 0.6579 | 3 |
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- | 0.5539 | 0.6477 | 4 |
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- | 0.5654 | 0.6464 | 5 |
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- | 0.5728 | 0.6336 | 6 |
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- | 0.5843 | 0.6298 | 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: 0.5832460732984294
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [kyleinincubated/autonlp-cat333-624217911](https://huggingface.co/kyleinincubated/autonlp-cat333-624217911) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5832
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4880 | None | 0 |
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+ | 0.5738 | 0.6997 | 0 |
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+ | 0.5518 | 0.6891 | 1 |
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+ | 0.5654 | 0.6648 | 2 |
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+ | 0.5497 | 0.6582 | 3 |
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+ | 0.5581 | 0.6480 | 4 |
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+ | 0.5539 | 0.6429 | 5 |
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+ | 0.5822 | 0.6349 | 6 |
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+ | 0.5832 | 0.6296 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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