1.8 KiB
1.8 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | HuggingFaceTB/SmolLM2-135M |
|
|
business-news-generator5
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: 2.7533
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: 8e-06
- train_batch_size: 16
- 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: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2896 | 0.2665 | 250 | 3.0878 |
| 2.9756 | 0.5330 | 500 | 2.9627 |
| 2.8358 | 0.7996 | 750 | 2.8931 |
| 2.7769 | 1.0661 | 1000 | 2.8442 |
| 2.6909 | 1.3326 | 1250 | 2.8078 |
| 2.6447 | 1.5991 | 1500 | 2.7781 |
| 2.5914 | 1.8657 | 1750 | 2.7533 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1