VietAI-NLP-ITN

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4378
• Bleu: 81.8571

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.6529	1.0	31250	0.5660	78.7315
0.5125	2.0	62500	0.4770	81.3979
0.4798	3.0	93750	0.4554	81.6720
0.4568	4.0	125000	0.4435	81.7753
0.4387	5.0	156250	0.4378	81.8571

Framework versions

• Transformers 4.20.1
• Pytorch 1.10.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1