indic-gpt

This model is a fine-tuned version of gpt2 on an Indian Language(https://ai4bharat.iitm.ac.in/corpora) dataset. Sample Dataset is present on https://huggingface.co./datasets/aashay96/indic-gpt. It achieves the following results on the evaluation set:

• Loss: 1.9482

Model description

Model is trained on multiple Indian Languages - Assamese, bengali, gujarati, Kannada, Malayalam,telugu, tamil, odhiya and punjabi.

Intended uses & limitations

More information needed

Training and evaluation data

TBD - Evaluation on indic_glue

Training procedure

Check the notebook!

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0005
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.3653	0.3	500	2.2985
2.2079	0.61	1000	2.0401
2.0396	0.91	1500	1.9482

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2