gpt2-dzongkha-romanization

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2720

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 126
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	16	7.3217
No log	2.0	32	5.7643
No log	3.0	48	4.6550
6.7417	4.0	64	3.6417
6.7417	5.0	80	2.9877
6.7417	6.0	96	2.6377
3.707	7.0	112	2.4576
3.707	8.0	128	2.3539
3.707	9.0	144	2.2833
2.6959	10.0	160	2.2720

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2