business-news-generator-smollm2-initial
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9295
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6526 | 0.32 | 200 | 3.9829 |
| 3.4161 | 0.64 | 400 | 3.8918 |
| 3.2717 | 0.96 | 600 | 3.8375 |
| 2.3323 | 1.28 | 800 | 3.9827 |
| 2.3346 | 1.6 | 1000 | 3.9801 |
| 2.3785 | 1.92 | 1200 | 3.9295 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Downloads last month
- 1
Model tree for simon-mellergaard/business-news-generator-smollm2-initial
Base model
HuggingFaceTB/SmolLM2-135M