story_model
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0773
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0525 | 0.4167 | 500 | 0.8982 |
| 0.7758 | 0.8333 | 1000 | 0.6485 |
| 0.4848 | 1.25 | 1500 | 0.4354 |
| 0.2891 | 1.6667 | 2000 | 0.2627 |
| 0.1646 | 2.0833 | 2500 | 0.1497 |
| 0.0817 | 2.5 | 3000 | 0.1007 |
| 0.0614 | 2.9167 | 3500 | 0.0773 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3