SmolLM2-NewsGen1.0
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: 2.9616
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: 4e-06
- 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 |
|---|---|---|---|
| 3.4328 | 0.2133 | 400 | 3.2599 |
| 3.0927 | 0.4267 | 800 | 3.1225 |
| 2.9819 | 0.64 | 1200 | 3.0547 |
| 2.9125 | 0.8533 | 1600 | 3.0148 |
| 2.888 | 1.0667 | 2000 | 2.9898 |
| 2.8468 | 1.28 | 2400 | 2.9750 |
| 2.8264 | 1.4933 | 2800 | 2.9664 |
| 2.7999 | 1.7067 | 3200 | 2.9625 |
| 2.7925 | 1.92 | 3600 | 2.9616 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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