ea2813ec-9312-450e-8b08-8c74d6da5bff
This model is a fine-tuned version of unsloth/zephyr-sft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0095
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: 0.000206
- 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: 270
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0037 | 1 | 0.1894 |
| 0.0587 | 0.1855 | 50 | 0.0542 |
| 0.0451 | 0.3711 | 100 | 0.3312 |
| 0.0254 | 0.5566 | 150 | 0.0555 |
| 0.0203 | 0.7421 | 200 | 0.0147 |
| 0.0195 | 0.9276 | 250 | 0.0095 |
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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Base model
unsloth/zephyr-sft