metadata
library_name: peft
license: llama3.2
base_model: unsloth/llama-3.2-1b-instruct
tags:
- base_model:adapter:unsloth/llama-3.2-1b-instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: printer_ai_lora_llama32_1b
results: []
printer_ai_lora_llama32_1b
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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1314 | 0.5 | 100 | 0.1281 |
| 0.0862 | 1.0 | 200 | 0.0874 |
| 0.0582 | 1.5 | 300 | 0.0572 |
| 0.0478 | 2.0 | 400 | 0.0459 |
| 0.0442 | 2.5 | 500 | 0.0443 |
| 0.0441 | 3.0 | 600 | 0.0436 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0