aca30828-e133-4b18-a478-654879a788c8
This model is a fine-tuned version of unsloth/SmolLM-1.7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1542
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: 0.000214
- 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: 319
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0031 | 1 | 2.5473 |
| 1.8814 | 0.1570 | 50 | 1.3950 |
| 1.4515 | 0.3140 | 100 | 1.3115 |
| 1.3475 | 0.4710 | 150 | 1.2189 |
| 1.2446 | 0.6279 | 200 | 1.1698 |
| 1.266 | 0.7849 | 250 | 1.1488 |
| 1.2775 | 0.9419 | 300 | 1.1542 |
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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