business-news-generator
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2277
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 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 |
---|---|---|---|
3.1444 | 0.32 | 200 | 3.3102 |
2.8334 | 0.64 | 400 | 3.2134 |
2.6596 | 0.96 | 600 | 3.1013 |
1.6895 | 1.28 | 800 | 3.2358 |
1.5082 | 1.6 | 1000 | 3.2216 |
1.4583 | 1.92 | 1200 | 3.2277 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.7.0.dev20250120
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
HuggingFaceTB/SmolLM-135M