hilco commited on
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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: 0.6167539267015707
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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 [Jeevesh8/512seq_len_6ep_bert_ft_cola-91](https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-91) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - accuracy: 0.6168
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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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  | 0.4984 | None | 0 |
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- | 0.5455 | 0.7833 | 0 |
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- | 0.5686 | 0.6803 | 1 |
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- | 0.5832 | 0.6638 | 2 |
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- | 0.5969 | 0.6435 | 3 |
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- | 0.6073 | 0.6132 | 4 |
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- | 0.6115 | 0.5967 | 5 |
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- | 0.6105 | 0.5848 | 6 |
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- | 0.6168 | 0.5785 | 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: 0.6198952879581152
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  name: accuracy
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  ---
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  This model is a fine-tuned version of [Jeevesh8/512seq_len_6ep_bert_ft_cola-91](https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-91) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - accuracy: 0.6199
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  ## Model description
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  | accuracy | train_loss | epoch |
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  |:--------:|:----------:|:-----:|
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  | 0.4984 | None | 0 |
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+ | 0.5403 | 0.7835 | 0 |
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+ | 0.5665 | 0.6797 | 1 |
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+ | 0.5812 | 0.6599 | 2 |
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+ | 0.5958 | 0.6366 | 3 |
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+ | 0.6147 | 0.6075 | 4 |
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+ | 0.6199 | 0.5904 | 5 |
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+ | 0.6168 | 0.5783 | 6 |
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+ | 0.6199 | 0.5722 | 7 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 160400
 
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