business-news-generator-smollm2
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: 3.2192
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- 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: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2963 | 0.16 | 100 | 3.4464 |
| 3.0678 | 0.32 | 200 | 3.3990 |
| 2.982 | 0.48 | 300 | 3.3473 |
| 2.8249 | 0.64 | 400 | 3.3049 |
| 2.7318 | 0.8 | 500 | 3.2452 |
| 2.7079 | 0.96 | 600 | 3.1863 |
| 1.8381 | 1.12 | 700 | 3.2755 |
| 1.5186 | 1.28 | 800 | 3.2718 |
| 1.475 | 1.44 | 900 | 3.2632 |
| 1.4847 | 1.6 | 1000 | 3.2282 |
| 1.428 | 1.76 | 1100 | 3.2226 |
| 1.412 | 1.92 | 1200 | 3.2192 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0