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kekunh
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fine_tuned_finroberta

Text Classification
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roberta
Generated from Trainer
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kekunh commited on
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End of training

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Files changed (11) hide show
  1. README.md +5 -5
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis](https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5984
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- - Accuracy: 0.8606
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- - F1: 0.8604
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1.0242064769073352e-05
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- - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis](https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1689
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+ - Accuracy: 0.8652
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+ - F1: 0.8653
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3.188322691446458e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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