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roberta-base-finetuned-lora-tweet_eval_irony

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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: 0.7287958115183246
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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-base](https://huggingface.co/roberta-base) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.7288
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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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- | 0.5675 | 0.6932 | 0 |
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- | 0.6775 | 0.6398 | 1 |
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- | 0.7131 | 0.5770 | 2 |
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- | 0.7361 | 0.5368 | 3 |
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- | 0.7162 | 0.5292 | 4 |
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- | 0.7183 | 0.4930 | 5 |
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- | 0.7340 | 0.4859 | 6 |
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- | 0.7288 | 0.4808 | 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: 0.7329842931937173
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7330
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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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+ | 0.5969 | 0.6883 | 0 |
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+ | 0.6932 | 0.6138 | 1 |
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+ | 0.6942 | 0.5623 | 2 |
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+ | 0.7277 | 0.5362 | 3 |
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+ | 0.7277 | 0.5078 | 4 |
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+ | 0.7267 | 0.4934 | 5 |
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+ | 0.7298 | 0.4820 | 6 |
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+ | 0.7330 | 0.4758 | 7 |
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  ### Framework versions
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