t5_char_nepali

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

• Loss: 0.0354

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7199	0.1532	25000	0.5892
0.5573	0.3064	50000	0.4724
0.2633	0.4596	75000	0.0690
0.0672	0.6127	100000	0.0466
0.0499	0.7659	125000	0.0404
0.0426	0.9191	150000	0.0354

Framework versions

• Transformers 4.50.0.dev0
• Pytorch 2.5.1+cxx11.abi
• Datasets 3.3.1
• Tokenizers 0.21.0