oguz7/printer_ai_lora_llama32_1b
04
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printerailorallama321b
This model is a fine-tuned version of unsloth/llama-3.2-1b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0436
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: 0.0003
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 8
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- lrschedulerwarmup_steps: 50
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
