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cambridgeltl_guardian_news_distilbert-base-uncased-finetuned-lora-tweet_eval_irony

Text Classification
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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
@@ -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: 0.6010471204188481
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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 [cambridgeltl/guardian_news_distilbert-base-uncased](https://huggingface.co/cambridgeltl/guardian_news_distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6010
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  ## Model description
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@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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- | 0.5560 | None | 0 |
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- | 0.5812 | 0.7222 | 0 |
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- | 0.5707 | 0.6892 | 1 |
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- | 0.5634 | 0.6641 | 2 |
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- | 0.5927 | 0.6539 | 3 |
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- | 0.5885 | 0.6390 | 4 |
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- | 0.5822 | 0.6270 | 5 |
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- | 0.6021 | 0.6156 | 6 |
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- | 0.6010 | 0.6024 | 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: 0.5958115183246073
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [cambridgeltl/guardian_news_distilbert-base-uncased](https://huggingface.co/cambridgeltl/guardian_news_distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5958
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4293 | None | 0 |
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+ | 0.5780 | 0.7232 | 0 |
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+ | 0.5759 | 0.6820 | 1 |
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+ | 0.5749 | 0.6642 | 2 |
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+ | 0.5885 | 0.6578 | 3 |
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+ | 0.5895 | 0.6412 | 4 |
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+ | 0.5822 | 0.6279 | 5 |
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+ | 0.5948 | 0.6159 | 6 |
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+ | 0.5958 | 0.6075 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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