Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
review-insight-multi-business
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0580
- Accuracy: 0.9829
- F1: 0.9829
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4999 | 1.0 | 939 | 0.1172 | 0.9616 | 0.9615 |
| 0.0576 | 2.0 | 1878 | 0.0729 | 0.9777 | 0.9777 |
| 0.0395 | 3.0 | 2817 | 0.0741 | 0.9780 | 0.9780 |
| 0.0357 | 4.0 | 3756 | 0.0580 | 0.9829 | 0.9829 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
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FacebookAI/roberta-base