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fabriceyhc_bert-base-uncased-imdb-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
@@ -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: 0.587434554973822
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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 [fabriceyhc/bert-base-uncased-imdb](https://huggingface.co/fabriceyhc/bert-base-uncased-imdb) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.5874
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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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  | 0.5309 | None | 0 |
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- | 0.5435 | 0.8357 | 0 |
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- | 0.5424 | 0.6903 | 1 |
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- | 0.5351 | 0.6873 | 2 |
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- | 0.5634 | 0.6833 | 3 |
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- | 0.5361 | 0.6762 | 4 |
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- | 0.6010 | 0.6731 | 5 |
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- | 0.5644 | 0.6650 | 6 |
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- | 0.5874 | 0.6612 | 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: 0.5863874345549738
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [fabriceyhc/bert-base-uncased-imdb](https://huggingface.co/fabriceyhc/bert-base-uncased-imdb) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.5864
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.5309 | None | 0 |
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+ | 0.5435 | 0.8386 | 0 |
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+ | 0.5382 | 0.6942 | 1 |
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+ | 0.5686 | 0.6876 | 2 |
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+ | 0.5707 | 0.6788 | 3 |
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+ | 0.5654 | 0.6750 | 4 |
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+ | 0.5654 | 0.6678 | 5 |
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+ | 0.5665 | 0.6546 | 6 |
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+ | 0.5864 | 0.6538 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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