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indic-gpt

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indic-gpt / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: indic-gpt
    results: []

indic-gpt

This model is a fine-tuned version of gpt2 on an indian language (https://ai4bharat.iitm.ac.in/corpora) dataset. It achieves the following results on the evaluation set:

  • eval_loss: 8.1648
  • eval_runtime: 203.8512
  • eval_samples_per_second: 227.941
  • eval_steps_per_second: 7.128
  • epoch: 0.0
  • step: 3

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Framework versions

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