crh-tur-llama32-1b-qlora
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6782
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 18
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9361 | 0.2665 | 250 | 1.8923 |
| 1.7429 | 0.5330 | 500 | 1.7587 |
| 1.6905 | 0.7996 | 750 | 1.6961 |
Framework versions
- PEFT 0.15.1
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for mshamrai/crh-tur-llama32-1b-qlora
Base model
meta-llama/Llama-3.2-1B