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Giyaseddin_distilroberta-base-finetuned-short-answer-assessment-finetuned-lora-tweet_eval_irony

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Safetensors
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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: 0.7057591623036649
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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 [Giyaseddin/distilroberta-base-finetuned-short-answer-assessment](https://huggingface.co/Giyaseddin/distilroberta-base-finetuned-short-answer-assessment) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.7058
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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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- | 0.4880 | None | 0 |
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- | 0.6178 | 0.7123 | 0 |
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- | 0.6346 | 0.6579 | 1 |
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- | 0.6597 | 0.6158 | 2 |
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- | 0.6974 | 0.5749 | 3 |
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- | 0.6890 | 0.5517 | 4 |
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- | 0.6639 | 0.5291 | 5 |
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- | 0.6984 | 0.5180 | 6 |
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- | 0.7058 | 0.5028 | 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: 0.7015706806282722
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Giyaseddin/distilroberta-base-finetuned-short-answer-assessment](https://huggingface.co/Giyaseddin/distilroberta-base-finetuned-short-answer-assessment) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7016
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4743 | None | 0 |
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+ | 0.6188 | 0.7149 | 0 |
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+ | 0.6262 | 0.6574 | 1 |
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+ | 0.6660 | 0.6179 | 2 |
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+ | 0.6932 | 0.5705 | 3 |
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+ | 0.6859 | 0.5397 | 4 |
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+ | 0.6796 | 0.5244 | 5 |
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+ | 0.6953 | 0.5155 | 6 |
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+ | 0.7016 | 0.4939 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2446144
 
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