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manueltonneau_bert-twitter-en-is-hired-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
@@ -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: 0.6534031413612565
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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 [manueltonneau/bert-twitter-en-is-hired](https://huggingface.co/manueltonneau/bert-twitter-en-is-hired) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6534
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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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  | 0.5215 | None | 0 |
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- | 0.5079 | 0.9227 | 0 |
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- | 0.5550 | 0.7109 | 1 |
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- | 0.5969 | 0.6901 | 2 |
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- | 0.5927 | 0.6673 | 3 |
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- | 0.6126 | 0.6376 | 4 |
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- | 0.5937 | 0.6057 | 5 |
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- | 0.6262 | 0.5882 | 6 |
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- | 0.6534 | 0.5778 | 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: 0.6565445026178011
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [manueltonneau/bert-twitter-en-is-hired](https://huggingface.co/manueltonneau/bert-twitter-en-is-hired) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6565
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5215 | None | 0 |
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+ | 0.4984 | 0.9222 | 0 |
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+ | 0.5497 | 0.7106 | 1 |
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+ | 0.5916 | 0.6916 | 2 |
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+ | 0.5969 | 0.6700 | 3 |
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+ | 0.6272 | 0.6397 | 4 |
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+ | 0.6199 | 0.6094 | 5 |
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+ | 0.6314 | 0.5923 | 6 |
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+ | 0.6565 | 0.5821 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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