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viviastaari_finetuning-sentiment-analysis-en-id-finetuned-lora-tweet_eval_irony

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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
@@ -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: 0.5780104712041885
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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 [viviastaari/finetuning-sentiment-analysis-en-id](https://huggingface.co/viviastaari/finetuning-sentiment-analysis-en-id) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5780
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  ## Model description
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@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4859 | None | 0 |
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- | 0.5424 | 0.7526 | 0 |
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- | 0.5853 | 0.6830 | 1 |
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- | 0.5948 | 0.6672 | 2 |
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- | 0.5812 | 0.6438 | 3 |
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- | 0.5791 | 0.6319 | 4 |
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- | 0.5791 | 0.6260 | 5 |
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- | 0.5770 | 0.6166 | 6 |
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- | 0.5780 | 0.6138 | 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: 0.5832460732984294
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [viviastaari/finetuning-sentiment-analysis-en-id](https://huggingface.co/viviastaari/finetuning-sentiment-analysis-en-id) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5832
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4859 | None | 0 |
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+ | 0.5414 | 0.7524 | 0 |
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+ | 0.5843 | 0.6806 | 1 |
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+ | 0.5948 | 0.6662 | 2 |
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+ | 0.5864 | 0.6431 | 3 |
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+ | 0.5853 | 0.6316 | 4 |
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+ | 0.5832 | 0.6240 | 5 |
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+ | 0.5853 | 0.6122 | 6 |
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+ | 0.5832 | 0.6106 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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