6feb6698-b746-4d2f-a3bd-6e8636b159c9
This model is a fine-tuned version of unsloth/SmolLM-135M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0732
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: 0.000212
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 274
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0109 | 1 | 1.3905 |
| 1.2152 | 0.5464 | 50 | 1.1606 |
| 1.1693 | 1.0956 | 100 | 1.1256 |
| 1.1159 | 1.6421 | 150 | 1.0956 |
| 1.1005 | 2.1913 | 200 | 1.0760 |
| 1.0462 | 2.7377 | 250 | 1.0732 |
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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