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distilbert-base-uncased-finetuned-lora-tweet_eval_irony

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Safetensors
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Eval Results
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hilco commited on
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Finished training.

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Files changed (3) hide show
  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
  3. tokenizer.json +1 -6
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: 0.6774869109947644
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6775
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  ## Model description
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@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4921 | None | 0 |
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- | 0.6105 | 0.6719 | 0 |
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- | 0.6136 | 0.6217 | 1 |
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- | 0.6733 | 0.5822 | 2 |
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- | 0.6775 | 0.5562 | 3 |
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- | 0.6723 | 0.5319 | 4 |
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- | 0.6450 | 0.5167 | 5 |
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- | 0.6764 | 0.5046 | 6 |
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- | 0.6775 | 0.4967 | 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: 0.6764397905759162
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6764
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4775 | None | 0 |
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+ | 0.6105 | 0.6674 | 0 |
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+ | 0.6230 | 0.6207 | 1 |
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+ | 0.6712 | 0.5747 | 2 |
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+ | 0.6921 | 0.5503 | 3 |
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+ | 0.6754 | 0.5273 | 4 |
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+ | 0.6440 | 0.5159 | 5 |
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+ | 0.6754 | 0.4948 | 6 |
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+ | 0.6764 | 0.4880 | 7 |
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  ### Framework versions
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