g3-12b-it-rp-qlora
This model is a fine-tuned version of unsloth/gemma-3-12b-it on the ToastyPigeon/some-rp-extended, the allura-org/inkstructmix-v0.2.1a-system-reasoning-separated, the ToastyPigeon/unalign-v2 and the ToastyPigeon/synth-rp datasets. It achieves the following results on the evaluation set:
- Loss: 3.4149
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: 2
- eval_batch_size: 2
- seed: 69
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 3
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.3186 | 0.0083 | 1 | 6.7163 |
| 5.301 | 0.2 | 24 | 4.8280 |
| 4.1467 | 0.4 | 48 | 4.3215 |
| 4.061 | 0.6 | 72 | 3.9633 |
| 4.0119 | 0.8 | 96 | 3.6294 |
| 3.7089 | 1.0 | 120 | 3.4149 |
Framework versions
- PEFT 0.15.0
- Transformers 4.51.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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