Assignment2-modified-V1
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: 3.2164
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: 0.0002
- train_batch_size: 4
- 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 |
|---|---|---|---|
| 3.1948 | 0.16 | 200 | 3.2495 |
| 2.9483 | 0.32 | 400 | 3.1734 |
| 2.8639 | 0.48 | 600 | 3.1253 |
| 2.7234 | 0.64 | 800 | 3.1154 |
| 2.6644 | 0.8 | 1000 | 3.0934 |
| 2.6771 | 0.96 | 1200 | 3.0747 |
| 1.9795 | 1.12 | 1400 | 3.2253 |
| 1.7571 | 1.28 | 1600 | 3.2024 |
| 1.7604 | 1.44 | 1800 | 3.2253 |
| 1.8268 | 1.6 | 2000 | 3.2242 |
| 1.8035 | 1.76 | 2200 | 3.2222 |
| 1.7959 | 1.92 | 2400 | 3.2164 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0