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w11wo_sundanese-bert-base-emotion-classifier-finetuned-lora-tweet_eval_irony

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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: 0.5916230366492147
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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 [w11wo/sundanese-bert-base-emotion-classifier](https://huggingface.co/w11wo/sundanese-bert-base-emotion-classifier) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5916
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.5204 | None | 0 |
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- | 0.5288 | 0.6974 | 0 |
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- | 0.5508 | 0.6897 | 1 |
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- | 0.5550 | 0.6655 | 2 |
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- | 0.5707 | 0.6401 | 3 |
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- | 0.5770 | 0.6260 | 4 |
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- | 0.5738 | 0.6172 | 5 |
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- | 0.5812 | 0.6093 | 6 |
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- | 0.5916 | 0.5971 | 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: 0.5863874345549738
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [w11wo/sundanese-bert-base-emotion-classifier](https://huggingface.co/w11wo/sundanese-bert-base-emotion-classifier) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5864
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4974 | None | 0 |
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+ | 0.5361 | 0.7013 | 0 |
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+ | 0.5298 | 0.6854 | 1 |
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+ | 0.5529 | 0.6635 | 2 |
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+ | 0.5644 | 0.6476 | 3 |
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+ | 0.5560 | 0.6263 | 4 |
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+ | 0.5738 | 0.6143 | 5 |
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+ | 0.5812 | 0.6073 | 6 |
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+ | 0.5864 | 0.6047 | 7 |
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  ### Framework versions
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