1b01f00f-bdf0-46a7-8170-43c79ac5e847
This model is a fine-tuned version of unsloth/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0334
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: 0.000205
- train_batch_size: 4
- eval_batch_size: 4
- seed: 50
- 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 | 0.0000 | 1 | 1.4053 |
| 1.1839 | 0.0003 | 50 | 1.1192 |
| 1.1412 | 0.0006 | 100 | 1.1262 |
| 1.0952 | 0.0009 | 150 | 1.1039 |
| 1.1454 | 0.0012 | 200 | 1.0996 |
| 1.1377 | 0.0015 | 250 | 1.0768 |
| 0.9725 | 0.0018 | 300 | 1.0720 |
| 1.0319 | 0.0021 | 350 | 1.0509 |
| 0.9666 | 0.0023 | 400 | 1.0452 |
| 1.0686 | 0.0026 | 450 | 1.0353 |
| 1.0499 | 0.0029 | 500 | 1.0334 |
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/gemma-2-9b