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boychaboy_MNLI_roberta-base-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
@@ -22,7 +22,7 @@ model-index:
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  args: irony
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  metrics:
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  - type: accuracy
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- value: 0.7413612565445026
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  name: accuracy
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  ---
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@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [boychaboy/MNLI_roberta-base](https://huggingface.co/boychaboy/MNLI_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: 0.7414
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  ## Model description
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@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.4848 | None | 0 |
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- | 0.6785 | 0.6800 | 0 |
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- | 0.6817 | 0.6010 | 1 |
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- | 0.7131 | 0.5412 | 2 |
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- | 0.7361 | 0.5182 | 3 |
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- | 0.7414 | 0.4962 | 4 |
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- | 0.7393 | 0.4659 | 5 |
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- | 0.7424 | 0.4547 | 6 |
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- | 0.7414 | 0.4569 | 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: 0.749738219895288
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [boychaboy/MNLI_roberta-base](https://huggingface.co/boychaboy/MNLI_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: 0.7497
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5236 | None | 0 |
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+ | 0.6848 | 0.6722 | 0 |
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+ | 0.6796 | 0.6006 | 1 |
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+ | 0.7194 | 0.5452 | 2 |
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+ | 0.7319 | 0.5221 | 3 |
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+ | 0.7424 | 0.4951 | 4 |
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+ | 0.7361 | 0.4660 | 5 |
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+ | 0.7497 | 0.4600 | 6 |
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+ | 0.7497 | 0.4570 | 7 |
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  ### Framework versions
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