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18811449050_bert_finetuning_test-finetuned-lora-tweet_eval_irony

Text Classification
PEFT
Safetensors
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Eval Results
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Finished training.

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  1. README.md +10 -10
  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: 0.6408376963350786
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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 [18811449050/bert_finetuning_test](https://huggingface.co/18811449050/bert_finetuning_test) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6408
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  ## Model description
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@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5173 | None | 0 |
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- | 0.5707 | 0.6950 | 0 |
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- | 0.5916 | 0.6572 | 1 |
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- | 0.5927 | 0.6251 | 2 |
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- | 0.6052 | 0.6066 | 3 |
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- | 0.6084 | 0.5927 | 4 |
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- | 0.6052 | 0.5789 | 5 |
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- | 0.6283 | 0.5632 | 6 |
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- | 0.6408 | 0.5603 | 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: 0.6366492146596858
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [18811449050/bert_finetuning_test](https://huggingface.co/18811449050/bert_finetuning_test) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6366
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5173 | None | 0 |
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+ | 0.5717 | 0.6954 | 0 |
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+ | 0.6 | 0.6572 | 1 |
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+ | 0.6042 | 0.6240 | 2 |
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+ | 0.6178 | 0.6022 | 3 |
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+ | 0.6178 | 0.5898 | 4 |
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+ | 0.6115 | 0.5757 | 5 |
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+ | 0.6293 | 0.5588 | 6 |
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+ | 0.6366 | 0.5573 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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