README.md

metadata

library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-4B-Base
tags:
  - llm
  - indic
model-index:
  - name: Hex-1
    results: []
language:
  - hi
  - te
  - ta
  - ml
  - kn

Hex-1

This model is a fine-tuned version of Qwen/Qwen3-4B-Base on the alpaca_hindi, the alpaca_tamil, the alpaca_telugu and the alpaca_kannada datasets.

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 7
• total_train_batch_size: 56
• total_eval_batch_size: 56
• optimizer: Use OptimizerNames.ADAMW_TORCH 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
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.0+cu126
• Datasets 3.5.0
• Tokenizers 0.21.1