| --- |
| library_name: transformers |
| license: mit |
| base_model: ihsan31415/indo-roBERTa-financial-sentiment |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: stockbit-sentiment |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # stockbit-sentiment |
|
|
| This model is a fine-tuned version of [ihsan31415/indo-roBERTa-financial-sentiment](https://huggingface.co/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 |
|
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
|
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| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| 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 | |
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| ### Framework versions |
|
|
| - Transformers 4.57.6 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.2 |
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|
