fantastic4-finetuned-vi-to-en-PhoMT-demo-T5-NLPHUST-Small

This model is a fine-tuned version of NlpHUST/t5-vi-en-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Bleu: 0.0

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
18.9866	1.0	2268	nan	0.0
0.0	2.0	4536	nan	0.0
0.0	3.0	6804	nan	0.0

Framework versions

• Transformers 4.22.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1