working
This model is a fine-tuned version of unsloth/gemma-2-9b-it-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3774
- Acc: 0.35
- Log Loss: 1.3774
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | Log Loss |
|---|---|---|---|---|---|
| 3.0058 | 1.0 | 10 | 1.8528 | 0.4 | 1.8527 |
| 2.9092 | 2.0 | 20 | 1.7207 | 0.45 | 1.7206 |
| 2.6161 | 3.0 | 30 | 1.5368 | 0.4 | 1.5367 |
| 2.3656 | 4.0 | 40 | 1.4192 | 0.35 | 1.4191 |
| 2.1831 | 5.0 | 50 | 1.3774 | 0.35 | 1.3774 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0