Downloads · 30 days
8
17% of all-time downloads
finbert-finetune
Jaats/finbert-finetune
finbert-finetune is a text classification model from Jaats. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
48
Public
Parameters
109M
876 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 6, 2026
- Updated
- May 7, 2026
- SHA
- cc38c364
Try a prompt
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. -->
finbert-finetune
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5497
- F1: 0.7897
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.2402 | 1.0 | 236 | 0.4496 | 0.7972 |
| 3.7308 | 2.0 | 472 | 0.4450 | 0.7902 |
| 2.0251 | 3.0 | 708 | 0.5497 | 0.7897 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 6, 2026
- Updated
- May 7, 2026