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jaesun_distilbert-base-uncased-finetuned-cola-finetuned-lora-tweet_eval_irony

Text Classification
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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
@@ -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: 0.6638743455497382
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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 [jaesun/distilbert-base-uncased-finetuned-cola](https://huggingface.co/jaesun/distilbert-base-uncased-finetuned-cola) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6639
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  ## Model description
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@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5194 | None | 0 |
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- | 0.5979 | 0.7320 | 0 |
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- | 0.5990 | 0.6645 | 1 |
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- | 0.6272 | 0.6272 | 2 |
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- | 0.6576 | 0.5986 | 3 |
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- | 0.6440 | 0.5707 | 4 |
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- | 0.6346 | 0.5462 | 5 |
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- | 0.6649 | 0.5337 | 6 |
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- | 0.6639 | 0.5292 | 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: 0.6544502617801047
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [jaesun/distilbert-base-uncased-finetuned-cola](https://huggingface.co/jaesun/distilbert-base-uncased-finetuned-cola) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6545
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5194 | None | 0 |
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+ | 0.5927 | 0.7373 | 0 |
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+ | 0.5885 | 0.6589 | 1 |
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+ | 0.6408 | 0.6278 | 2 |
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+ | 0.6660 | 0.5924 | 3 |
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+ | 0.6482 | 0.5733 | 4 |
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+ | 0.6408 | 0.5544 | 5 |
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+ | 0.6555 | 0.5394 | 6 |
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+ | 0.6545 | 0.5331 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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