lifechart-roberta-classifier-hptuning
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9127
- Macro F1: 0.7923
- Precision: 0.7838
- Recall: 0.8086
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: 2.286699715088989e-05
- train_batch_size: 8
- 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_ratio: 0.1305287632322581
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| 1.741 | 1.0 | 1641 | 0.8669 | 0.7549 | 0.7408 | 0.7921 |
| 0.7331 | 2.0 | 3282 | 0.8423 | 0.7804 | 0.7676 | 0.8016 |
| 0.4616 | 3.0 | 4923 | 0.9127 | 0.7923 | 0.7838 | 0.8086 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
- Downloads last month
- 6
Model tree for cookienter/lifechart-roberta-classifier-hptuning
Base model
FacebookAI/roberta-base