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roberta-large-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: 0.7371727748691099
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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 [roberta-large](https://huggingface.co/roberta-large) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.7372
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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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  | 0.4775 | None | 0 |
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- | 0.6440 | 0.7048 | 0 |
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- | 0.6314 | 0.6302 | 1 |
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- | 0.7099 | 0.6301 | 2 |
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- | 0.7194 | 0.5674 | 3 |
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- | 0.7152 | 0.5465 | 4 |
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- | 0.7204 | 0.5255 | 5 |
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- | 0.7403 | 0.5116 | 6 |
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- | 0.7372 | 0.4987 | 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: 0.7581151832460733
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7581
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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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+ | 0.6325 | 0.7101 | 0 |
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+ | 0.6869 | 0.6380 | 1 |
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+ | 0.7162 | 0.5662 | 2 |
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+ | 0.7518 | 0.5417 | 3 |
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+ | 0.7382 | 0.5002 | 4 |
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+ | 0.7455 | 0.4761 | 5 |
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+ | 0.7571 | 0.4607 | 6 |
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+ | 0.7581 | 0.4429 | 7 |
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  ### Framework versions
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