vit5-large-legal-lora

This model is a fine-tuned version of VietAI/vit5-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.4278

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: 3
• eval_batch_size: 6
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 6
• total_eval_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6407	1.0	11183	1.4850
1.5931	2.0	22366	1.4408
1.5619	3.0	33549	1.4278

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3