large

This model is a fine-tuned version of google/flan-t5-large on the xsum dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 39.7125
• Rouge2: 16.3418
• Rougel: 31.7246
• Rougelsum: 31.7214
• Gen Len: 26.7397

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 2.5.1
• Tokenizers 0.12.1