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chiragasarpota_scotus-bert-finetuned-lora-tweet_eval_irony

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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: 0.4774869109947644
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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 [chiragasarpota/scotus-bert](https://huggingface.co/chiragasarpota/scotus-bert) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.4775
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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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  | 0.5225 | None | 0 |
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- | 0.4775 | 0.6945 | 0 |
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- | 0.4775 | 0.6934 | 1 |
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- | 0.4775 | 0.6931 | 2 |
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- | 0.4775 | 0.6933 | 3 |
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- | 0.4775 | 0.6930 | 4 |
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- | 0.4775 | 0.6936 | 6 |
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- | 0.4775 | 0.6933 | 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: 0.5015706806282723
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [chiragasarpota/scotus-bert](https://huggingface.co/chiragasarpota/scotus-bert) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5016
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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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+ | 0.5236 | 0.6944 | 0 |
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+ | 0.4775 | 0.6936 | 1 |
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+ | 0.4775 | 0.6934 | 2 |
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+ | 0.4775 | 0.6926 | 3 |
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+ | 0.4775 | 0.6927 | 4 |
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+ | 0.4838 | 0.6925 | 5 |
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+ | 0.4984 | 0.6918 | 6 |
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+ | 0.5016 | 0.6917 | 7 |
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  ### Framework versions
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