flan-t5-base-samsum

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

• eval_loss: 1.3910
• eval_rouge1: 47.2277
• eval_rouge2: 23.3544
• eval_rougeL: 39.3705
• eval_rougeLsum: 43.3621
• eval_gen_len: 17.4188
• eval_runtime: 143.4548
• eval_samples_per_second: 5.709
• eval_steps_per_second: 0.718
• epoch: 1.11
• step: 2038

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

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.0
• Tokenizers 0.13.2