hilco commited on
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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: 0.5947643979057592
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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 [JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish](https://huggingface.co/JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5948
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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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  | 0.5257 | None | 0 |
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- | 0.5141 | 0.8168 | 0 |
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- | 0.5215 | 0.7015 | 1 |
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- | 0.5435 | 0.6909 | 2 |
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- | 0.5770 | 0.6750 | 3 |
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- | 0.5801 | 0.6574 | 4 |
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- | 0.5812 | 0.6478 | 5 |
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- | 0.5874 | 0.6377 | 6 |
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- | 0.5948 | 0.6316 | 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: 0.6
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish](https://huggingface.co/JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5257 | None | 0 |
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+ | 0.5089 | 0.8169 | 0 |
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+ | 0.5424 | 0.7018 | 1 |
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+ | 0.5665 | 0.6875 | 2 |
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+ | 0.5717 | 0.6690 | 3 |
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+ | 0.5822 | 0.6540 | 4 |
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+ | 0.5885 | 0.6430 | 5 |
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+ | 0.5906 | 0.6339 | 6 |
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+ | 0.6 | 0.6268 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2523312
 
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