c631b668-a7fe-4682-949b-1d81685337f2
This model is a fine-tuned version of unsloth/SmolLM2-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2226
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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 1.5368 |
| 1.3959 | 0.0116 | 50 | 1.3478 |
| 1.3112 | 0.0231 | 100 | 1.3007 |
| 1.2917 | 0.0347 | 150 | 1.2785 |
| 1.2684 | 0.0463 | 200 | 1.2622 |
| 1.257 | 0.0579 | 250 | 1.2484 |
| 1.2571 | 0.0694 | 300 | 1.2384 |
| 1.2338 | 0.0810 | 350 | 1.2304 |
| 1.2192 | 0.0926 | 400 | 1.2252 |
| 1.1918 | 0.1041 | 450 | 1.2230 |
| 1.2379 | 0.1157 | 500 | 1.2226 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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