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cardiffnlp_twitter-roberta-base-2021-124m-finetuned-lora-tweet_eval_irony

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Eval Results
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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: 0.7570680628272252
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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 [cardiffnlp/twitter-roberta-base-2021-124m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.7571
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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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- | 0.5225 | None | 0 |
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- | 0.6796 | 0.6520 | 0 |
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- | 0.7183 | 0.5677 | 1 |
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- | 0.7455 | 0.5201 | 2 |
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- | 0.7623 | 0.4895 | 3 |
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- | 0.7476 | 0.4692 | 4 |
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- | 0.7592 | 0.4446 | 5 |
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- | 0.7592 | 0.4331 | 6 |
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- | 0.7571 | 0.4210 | 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: 0.7612565445026178
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2021-124m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7613
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4827 | None | 0 |
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+ | 0.6859 | 0.6609 | 0 |
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+ | 0.7162 | 0.5654 | 1 |
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+ | 0.7403 | 0.5213 | 2 |
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+ | 0.7476 | 0.4871 | 3 |
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+ | 0.7445 | 0.4654 | 4 |
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+ | 0.7508 | 0.4388 | 5 |
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+ | 0.7634 | 0.4284 | 6 |
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+ | 0.7613 | 0.4145 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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