vinai_v2_meddictgem

This model is a fine-tuned version of vinai/vinai-translate-en2vi-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6744
• Bleu: 61.0859
• Gen Len: 43.6186

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 5.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.4017	1.0	2008	0.6451	59.5862	43.358
0.326	2.0	4016	0.6319	60.578	43.5766
0.2222	3.0	6024	0.6369	60.8906	43.5167
0.2792	4.0	8032	0.6624	61.0006	43.5945
0.3571	5.0	10040	0.6744	61.0859	43.6186

Framework versions

• Transformers 4.54.0.dev0
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1