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fine_tuned_finroberta
kekunh/fine_tuned_finroberta
fine_tuned_finroberta is a text classification model from kekunh. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024
- SHA
- 77136f96
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fine_tuned_finroberta
This model is a fine-tuned version of mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1689
- Accuracy: 0.8652
- F1: 0.8653
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3.188322691446458e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024