flan-t5-small-cnn_dailymail

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

• eval_loss: 1.7942
• eval_rouge1: 24.347
• eval_rouge2: 11.4242
• eval_rougeL: 20.0736
• eval_rougeLsum: 22.8723
• eval_gen_len: 18.9995
• eval_runtime: 492.0285
• eval_samples_per_second: 23.352
• eval_steps_per_second: 3.892
• epoch: 4.11
• step: 196452

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: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2