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distilbert-base-uncased-lora-financial-sentiment-analysis
mmarzec/distilbert-base-uncased-lora-financial-sentiment-analysis
distilbert-base-uncased-lora-financial-sentiment-analysis is a machine learning model from mmarzec. 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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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- 3079caed
Base models
Datasets
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. -->
distilbert-base-uncased-lora-financial-sentiment-analysis
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:
- Loss: 0.0847
- Accuracy: {'accuracy': 0.9779735682819384}
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3077 | 1.0 | 510 | 0.0847 | {'accuracy': 0.9779735682819384} |
| 0.1348 | 2.0 | 1020 | 0.0943 | {'accuracy': 0.973568281938326} |
| 0.0536 | 3.0 | 1530 | 0.0993 | {'accuracy': 0.9823788546255506} |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024