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: 3.2288
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2009 | 0.32 | 200 | 3.3100 |
| 2.8833 | 0.64 | 400 | 3.2118 |
| 2.7102 | 0.96 | 600 | 3.0997 |
| 1.722 | 1.28 | 800 | 3.2401 |
| 1.5371 | 1.6 | 1000 | 3.2240 |
| 1.4841 | 1.92 | 1200 | 3.2288 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for osanseviero/business-news-generator2
Base model
HuggingFaceTB/SmolLM-135M