metadata
library_name: transformers
license: mit
base_model: ihsan31415/indo-roBERTa-financial-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: stockbit-sentiment
results: []
stockbit-sentiment
This model is a fine-tuned version of ihsan31415/indo-roBERTa-financial-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3053
- Accuracy: 0.8867
- Precision Weighted: 0.8872
- Recall Weighted: 0.8867
- F1 Weighted: 0.8860
- F1 Macro: 0.8787
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Weighted | Recall Weighted | F1 Weighted | F1 Macro |
|---|---|---|---|---|---|---|---|---|
| 0.313 | 1.0 | 1350 | 0.3053 | 0.8867 | 0.8872 | 0.8867 | 0.8860 | 0.8787 |
| 0.1959 | 2.0 | 2700 | 0.3629 | 0.8961 | 0.8987 | 0.8961 | 0.8957 | 0.8858 |
| 0.1037 | 3.0 | 4050 | 0.4347 | 0.9087 | 0.9083 | 0.9087 | 0.9084 | 0.9010 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.8.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.2