VIT5-large-Distractors-Generation-checkpoint

This model is a fine-tuned version of VietAI/vit5-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7276

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use adamw_8bit 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
• training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss
1.8811	0.4655	2500	1.7967
1.8162	0.9310	5000	1.7276

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0