fine-tuned-smolLM2-physics_10
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4107
- Accuracy: 0.1565
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6273 | 1.0 | 40 | 0.8006 | 0.0231 |
| 0.3887 | 2.0 | 80 | 0.4202 | 0.1566 |
| 0.324 | 3.0 | 120 | 0.4107 | 0.1565 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for akhilfau/fine-tuned-smolLM2-360M-on-physics
Base model
HuggingFaceTB/SmolLM2-360M