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finetuning-twitter-finance-sentiment-distilbert
jtatman/finetuning-twitter-finance-sentiment-distilbert
finetuning-twitter-finance-sentiment-distilbert is a text classification model from jtatman. 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
- distilbert
- Access
- Public
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026
- SHA
- 858d1bf5
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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. -->
finetuning-twitter-finance-sentiment-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1919
- Accuracy: 0.8617
- F1: 0.8608
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 478 | 0.4181 | 0.8455 | 0.8442 |
| 0.5595 | 2.0 | 956 | 0.3985 | 0.8633 | 0.8615 |
| 0.3088 | 3.0 | 1434 | 0.5320 | 0.8544 | 0.8510 |
| 0.1747 | 4.0 | 1912 | 0.6241 | 0.8612 | 0.8589 |
| 0.0993 | 5.0 | 2390 | 0.7062 | 0.8601 | 0.8588 |
| 0.0669 | 6.0 | 2868 | 0.8449 | 0.8643 | 0.8621 |
| 0.0431 | 7.0 | 3346 | 0.8722 | 0.8591 | 0.8591 |
| 0.0279 | 8.0 | 3824 | 0.8808 | 0.8612 | 0.8611 |
| 0.0194 | 9.0 | 4302 | 1.0386 | 0.8476 | 0.8459 |
| 0.0165 | 10.0 | 4780 | 1.0698 | 0.8554 | 0.8524 |
| 0.0116 | 11.0 | 5258 | 1.0383 | 0.8669 | 0.8646 |
| 0.0059 | 12.0 | 5736 | 1.0721 | 0.8664 | 0.8649 |
| 0.0076 | 13.0 | 6214 | 1.1274 | 0.8559 | 0.8554 |
| 0.0062 | 14.0 | 6692 | 1.1637 | 0.8596 | 0.8587 |
| 0.0042 | 15.0 | 7170 | 1.1986 | 0.8617 | 0.8593 |
| 0.0030 | 16.0 | 7648 | 1.1985 | 0.8596 | 0.8578 |
| 0.0041 | 17.0 | 8126 | 1.2391 | 0.8628 | 0.8602 |
| 0.0025 | 18.0 | 8604 | 1.1915 | 0.8607 | 0.8599 |
| 0.0017 | 19.0 | 9082 | 1.2073 | 0.8633 | 0.8617 |
| 0.0008 | 20.0 | 9560 | 1.1919 | 0.8617 | 0.8608 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026