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bert-base-cased-finetuned-lora-tweet_eval_irony

Text Classification
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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: 0.6544502617801047
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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 [bert-base-cased](https://huggingface.co/bert-base-cased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6545
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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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- | 0.5194 | None | 0 |
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- | 0.5696 | 0.7051 | 0 |
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- | 0.5843 | 0.6725 | 1 |
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- | 0.5874 | 0.6446 | 2 |
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- | 0.6262 | 0.6191 | 3 |
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- | 0.6314 | 0.5939 | 4 |
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- | 0.6094 | 0.5763 | 5 |
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- | 0.6408 | 0.5638 | 6 |
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- | 0.6545 | 0.5562 | 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: 0.6617801047120419
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6618
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.5225 | None | 0 |
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+ | 0.5812 | 0.7052 | 0 |
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+ | 0.5717 | 0.6681 | 1 |
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+ | 0.5885 | 0.6414 | 2 |
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+ | 0.6304 | 0.6215 | 3 |
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+ | 0.6471 | 0.5924 | 4 |
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+ | 0.6031 | 0.5768 | 5 |
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+ | 0.6565 | 0.5663 | 6 |
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+ | 0.6618 | 0.5523 | 7 |
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  ### Framework versions
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