1.9 KiB
1.9 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | HuggingFaceTB/SmolLM-135M |
|
|
business-news-generator
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an ag news dataset. It achieves the following results on the evaluation set:
- Loss: 3.7807
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0091 | 0.32 | 200 | 3.1811 |
| 2.0462 | 0.64 | 400 | 3.1354 |
| 2.1753 | 0.96 | 600 | 3.0508 |
| 1.4582 | 1.28 | 800 | 3.3293 |
| 1.4087 | 1.6 | 1000 | 3.3412 |
| 1.3965 | 1.92 | 1200 | 3.3055 |
| 1.0570 | 2.24 | 1400 | 3.6340 |
| 0.9137 | 2.56 | 1600 | 3.6648 |
| 0.9034 | 2.88 | 1800 | 3.6745 |
| 0.8144 | 3.2 | 2000 | 3.7661 |
| 0.7614 | 3.52 | 2200 | 3.7808 |
| 0.7634 | 3.84 | 2400 | 3.7807 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2