ViEde

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

• Loss: 0.4809
• Bleu: 22.833
• Chrf++: 46.2491

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: 100
• eval_batch_size: 100
• 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
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf++
0.273	1.0	2080	0.4809	22.833	46.2491
0.1331	2.0	4160	0.5284	24.6028	48.483
0.0964	3.0	6240	0.5543	25.6692	49.2306

Framework versions

• Transformers 4.57.6
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2