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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: 0.7068062827225131
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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 [cointegrated/roberta-base-formality](https://huggingface.co/cointegrated/roberta-base-formality) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.7068
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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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  | 0.5529 | None | 0 |
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- | 0.6073 | 0.7289 | 0 |
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- | 0.6272 | 0.6482 | 1 |
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- | 0.6618 | 0.6172 | 2 |
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- | 0.6953 | 0.5878 | 3 |
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- | 0.7068 | 0.5699 | 4 |
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- | 0.6723 | 0.5401 | 5 |
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- | 0.6963 | 0.5305 | 6 |
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- | 0.7068 | 0.5213 | 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: 0.7120418848167539
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [cointegrated/roberta-base-formality](https://huggingface.co/cointegrated/roberta-base-formality) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7120
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5529 | None | 0 |
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+ | 0.6084 | 0.7289 | 0 |
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+ | 0.6230 | 0.6485 | 1 |
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+ | 0.6743 | 0.6205 | 2 |
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+ | 0.7005 | 0.5887 | 3 |
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+ | 0.7047 | 0.5693 | 4 |
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+ | 0.6817 | 0.5384 | 5 |
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+ | 0.7110 | 0.5272 | 6 |
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+ | 0.7120 | 0.5182 | 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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