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joebobby_finetuning-sentiment-model-5000-samples3-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: 0.6827225130890052
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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 [joebobby/finetuning-sentiment-model-5000-samples3](https://huggingface.co/joebobby/finetuning-sentiment-model-5000-samples3) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6827
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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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- | 0.4712 | None | 0 |
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- | 0.6272 | 0.6867 | 0 |
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- | 0.6325 | 0.6390 | 1 |
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- | 0.6534 | 0.6096 | 2 |
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- | 0.6670 | 0.5848 | 3 |
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- | 0.6691 | 0.5619 | 4 |
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- | 0.6628 | 0.5541 | 5 |
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- | 0.6775 | 0.5405 | 6 |
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- | 0.6827 | 0.5308 | 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: 0.6732984293193718
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [joebobby/finetuning-sentiment-model-5000-samples3](https://huggingface.co/joebobby/finetuning-sentiment-model-5000-samples3) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6733
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4995 | None | 0 |
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+ | 0.6199 | 0.6846 | 0 |
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+ | 0.6157 | 0.6508 | 1 |
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+ | 0.6283 | 0.6247 | 2 |
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+ | 0.6513 | 0.6050 | 3 |
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+ | 0.6702 | 0.5891 | 4 |
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+ | 0.6649 | 0.5709 | 5 |
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+ | 0.6628 | 0.5559 | 6 |
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+ | 0.6733 | 0.5535 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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