---
library_name: transformers
license: other
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
  results: []
datasets:
- sam2ai/reasoning-multilingual-R1-indic-odia-train
---

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# sft

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the open_thoughts_indic dataset. The fine-tuning data [here](https://huggingface.co/datasets/sam2ai/reasoning-multilingual-R1-indic-odia-train),

## Inference script
Colab - https://colab.research.google.com/#fileId=https%3A//huggingface.co/OdiaGenAI/llama_3.2_3b_r_1.ipynb

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.45.0
- Pytorch 2.6.0.dev20241113+rocm6.2
- Datasets 3.1.0
- Tokenizers 0.20.3