raygx/Nepali-GPT2-CausalLM

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Nepali-GPT2-CausalLM

This model is a fine-tuned version of raygx/Nepali-GPT2-CausalLM on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 4.7022
• —Validation Loss: 4.6237
• —Epoch: 1

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:

• —optimizer: {'name': 'AdamWeightDecay', 'learningrate': 1e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.01}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.28.1
• —TensorFlow 2.11.0
• —Datasets 2.1.0
• —Tokenizers 0.13.3