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Alassea_glue_sst_classifier-finetuned-lora-tweet_eval_irony

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Finished training.

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  1. README.md +10 -10
  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: 0.669109947643979
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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 [Alassea/glue_sst_classifier](https://huggingface.co/Alassea/glue_sst_classifier) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6691
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  ## Model description
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@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5497 | None | 0 |
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- | 0.6094 | 0.7138 | 0 |
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- | 0.6440 | 0.6613 | 1 |
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- | 0.6503 | 0.6250 | 2 |
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- | 0.6513 | 0.6068 | 3 |
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- | 0.6607 | 0.5811 | 4 |
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- | 0.6607 | 0.5675 | 5 |
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- | 0.6639 | 0.5593 | 6 |
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- | 0.6691 | 0.5486 | 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: 0.6649214659685864
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Alassea/glue_sst_classifier](https://huggingface.co/Alassea/glue_sst_classifier) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6649
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5497 | None | 0 |
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+ | 0.6147 | 0.7077 | 0 |
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+ | 0.6408 | 0.6572 | 1 |
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+ | 0.6482 | 0.6266 | 2 |
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+ | 0.6492 | 0.6056 | 3 |
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+ | 0.6482 | 0.5837 | 4 |
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+ | 0.6586 | 0.5657 | 5 |
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+ | 0.6681 | 0.5516 | 6 |
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+ | 0.6649 | 0.5471 | 7 |
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  ### Framework versions
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