---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: ukr-llama32-1b-qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ukr-llama32-1b-qlora

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9021

## 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: 62
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.889         | 0.32  | 1000 | 0.9420          |
| 0.9185        | 0.64  | 2000 | 0.9162          |
| 0.8283        | 0.96  | 3000 | 0.9021          |


### Framework versions

- PEFT 0.15.1
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1