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andygmu/distilbert-base-uncased-lora-financial-sentiment-analysis
distilbert-base-uncased-lora-financial-sentiment-analysis is a machine learning model from andygmu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3077 | 1.0 | 510 | 0.1016 | {'accuracy': 0.9691629955947136} |
| 0.108 | 2.0 | 1020 | 0.0720 | {'accuracy': 0.9691629955947136} |
| 0.0671 | 3.0 | 1530 | 0.0734 | {'accuracy': 0.9823788546255506} |