business-news-generator_nodecay
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: 7.1336
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: 0.05
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 22.9293 | 0.8 | 200 | 7.7472 |
| 6.992 | 1.6 | 400 | 7.4781 |
| 6.7026 | 2.4 | 600 | 7.3345 |
| 6.3972 | 3.2 | 800 | 7.1572 |
| 6.15 | 4.0 | 1000 | 7.1336 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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Model tree for pjool/business-news-generator_nodecay
Base model
HuggingFaceTB/SmolLM2-135M