finetuned-viT5-newwiki-summarization

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

• eval_loss: 0.5808
• eval_rouge1: 48.8124
• eval_rouge2: 25.4951
• eval_rougeL: 35.0057
• eval_rougeLsum: 37.2134
• eval_runtime: 515.0078
• eval_samples_per_second: 3.845
• eval_steps_per_second: 0.961
• epoch: 12.0
• step: 23760

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 15
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.17.0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2