t5-translation-hanviet

This model is a fine-tuned version of NVTT1124/t5-translation-hanviet on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0255
• eval_runtime: 3.8708
• eval_samples_per_second: 96.62
• eval_steps_per_second: 12.142
• epoch: 4.6036
• step: 778

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 5.5.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2