sft_smolLM2_bad
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: 3.7054
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: constant
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9605 | 0.32 | 200 | 3.6155 |
| 2.3145 | 0.64 | 400 | 3.5834 |
| 2.4709 | 0.96 | 600 | 3.4613 |
| 1.5769 | 1.28 | 800 | 3.7328 |
| 1.6233 | 1.6 | 1000 | 3.7155 |
| 1.6837 | 1.92 | 1200 | 3.7054 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1