spacemanidol/flan-t5-large-1-1-xsum

large-1-1

This model is a fine-tuned version of x/large-1-1/ on the xsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.5745
• Rouge1: 29.8201
• Rouge2: 8.9649
• Rougel: 23.5988
• Rougelsum: 23.5928
• Gen Len: 28.0998

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.10.0
• Tokenizers 0.13.2