stress-roberta-base-v2
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5620
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: 32
- eval_batch_size: 32
- 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: 2000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7621 | 1.0 | 23076 | 1.6272 |
| 1.7208 | 2.0 | 46152 | 1.6019 |
| 1.7002 | 3.0 | 69228 | 1.5815 |
| 1.6861 | 4.0 | 92304 | 1.5694 |
| 1.6807 | 5.0 | 115380 | 1.5619 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for care4lang/stress-roberta-base-v2
Base model
FacebookAI/roberta-base