--- license: mit tags: - generated_from_trainer model-index: - name: indic-gpt results: [] --- # indic-gpt This model is a fine-tuned version of [gpt2](https://huggingface.co/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