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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: 0.6408376963350786
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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 [vesteinn/XLMR-ENIS-finetuned-cola](https://huggingface.co/vesteinn/XLMR-ENIS-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: 0.6408
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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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  | 0.5424 | None | 0 |
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- | 0.5990 | 0.7131 | 0 |
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- | 0.5791 | 0.6680 | 1 |
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- | 0.6188 | 0.6512 | 2 |
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- | 0.6220 | 0.6311 | 3 |
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- | 0.6251 | 0.6118 | 4 |
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- | 0.5874 | 0.5950 | 5 |
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- | 0.6230 | 0.5831 | 6 |
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- | 0.6408 | 0.5857 | 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: 0.6356020942408377
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [vesteinn/XLMR-ENIS-finetuned-cola](https://huggingface.co/vesteinn/XLMR-ENIS-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: 0.6356
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5424 | None | 0 |
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+ | 0.5937 | 0.7188 | 0 |
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+ | 0.6094 | 0.6681 | 1 |
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+ | 0.6188 | 0.6478 | 2 |
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+ | 0.6241 | 0.6245 | 3 |
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+ | 0.6325 | 0.6100 | 4 |
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+ | 0.6105 | 0.5948 | 5 |
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+ | 0.6366 | 0.5749 | 6 |
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+ | 0.6356 | 0.5747 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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