metadata
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: ukr-bg-llama32-1b-qlora
results: []
ukr-bg-llama32-1b-qlora
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9872
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: 125
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.526 | 0.16 | 1000 | 1.0528 |
| 0.4937 | 0.32 | 2000 | 1.0308 |
| 0.4846 | 0.48 | 3000 | 1.0155 |
| 0.4954 | 0.64 | 4000 | 1.0034 |
| 0.5046 | 0.8 | 5000 | 0.9935 |
| 0.4889 | 0.96 | 6000 | 0.9872 |
Framework versions
- PEFT 0.15.1
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1