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uygarkurt_distilbert-base-uncased-finetuned-emotion-finetuned-lora-tweet_eval_irony

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Finished training.

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  1. README.md +11 -11
  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: 0.643979057591623
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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 [uygarkurt/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/uygarkurt/distilbert-base-uncased-finetuned-emotion) 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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@@ -65,15 +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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- | 0.5246 | None | 0 |
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- | 0.6 | 0.6918 | 0 |
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- | 0.6115 | 0.6400 | 1 |
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- | 0.6335 | 0.6068 | 2 |
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- | 0.6440 | 0.5685 | 3 |
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- | 0.6209 | 0.5516 | 4 |
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- | 0.6220 | 0.5314 | 5 |
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- | 0.6325 | 0.5174 | 6 |
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- | 0.6440 | 0.4955 | 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: 0.6366492146596858
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [uygarkurt/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/uygarkurt/distilbert-base-uncased-finetuned-emotion) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6366
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4754 | None | 0 |
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+ | 0.5937 | 0.6963 | 0 |
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+ | 0.6199 | 0.6397 | 1 |
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+ | 0.6220 | 0.6117 | 2 |
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+ | 0.6408 | 0.5825 | 3 |
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+ | 0.6251 | 0.5585 | 4 |
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+ | 0.6283 | 0.5442 | 5 |
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+ | 0.6398 | 0.5230 | 6 |
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+ | 0.6366 | 0.5215 | 7 |
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  ### Framework versions
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