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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: 0.694240837696335
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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 [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6942
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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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- | 0.4639 | None | 0 |
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- | 0.6293 | 0.7090 | 0 |
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- | 0.6010 | 0.6475 | 1 |
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- | 0.6545 | 0.6082 | 2 |
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- | 0.6995 | 0.5614 | 3 |
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- | 0.7005 | 0.5424 | 4 |
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- | 0.6806 | 0.5146 | 5 |
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- | 0.6932 | 0.5049 | 6 |
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- | 0.6942 | 0.4976 | 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: 0.7036649214659686
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.7037
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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+ | 0.4995 | None | 0 |
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+ | 0.6283 | 0.7070 | 0 |
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+ | 0.5874 | 0.6448 | 1 |
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+ | 0.6618 | 0.6031 | 2 |
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+ | 0.7068 | 0.5548 | 3 |
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+ | 0.7120 | 0.5368 | 4 |
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+ | 0.6733 | 0.5065 | 5 |
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+ | 0.7005 | 0.4997 | 6 |
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+ | 0.7037 | 0.4886 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2446144
 
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