patrakar-gpt

This model is a fine-tuned version of Sakonii/distilgpt2-nepali on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.9902

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: 5e-05
• train_batch_size: 17
• eval_batch_size: 17
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
4.1461	1.0	28920	3.9902

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3