flan-t5-small-samsum-summary

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

• Loss: 1.6317
• Rouge1: 43.8792
• Rouge2: 19.5266
• Rougel: 36.2843
• Rougelsum: 39.8895
• Gen Len: 16.8803

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.39.0
• Pytorch 2.2.1+cu121
• Datasets 2.14.7
• Tokenizers 0.15.2