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connectivity_cola_6ep_ft-10-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
@@ -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: 0.643979057591623
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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 [connectivity/cola_6ep_ft-10](https://huggingface.co/connectivity/cola_6ep_ft-10) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6440
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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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  | 0.4838 | None | 0 |
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- | 0.5539 | 0.7771 | 0 |
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- | 0.6052 | 0.6816 | 1 |
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- | 0.6094 | 0.6480 | 2 |
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- | 0.6115 | 0.6280 | 3 |
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- | 0.6251 | 0.6003 | 4 |
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- | 0.6251 | 0.5781 | 5 |
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- | 0.6325 | 0.5755 | 6 |
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- | 0.6440 | 0.5646 | 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: 0.6638743455497382
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [connectivity/cola_6ep_ft-10](https://huggingface.co/connectivity/cola_6ep_ft-10) 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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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4838 | None | 0 |
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+ | 0.5550 | 0.7889 | 0 |
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+ | 0.5906 | 0.6812 | 1 |
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+ | 0.5937 | 0.6547 | 2 |
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+ | 0.6230 | 0.6154 | 3 |
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+ | 0.6356 | 0.5924 | 4 |
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+ | 0.6209 | 0.5728 | 5 |
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+ | 0.6419 | 0.5640 | 6 |
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+ | 0.6639 | 0.5495 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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