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: 1.4415
• eval_rouge1: 46.722
• eval_rouge2: 22.8303
• eval_rougeL: 39.0315
• eval_rougeLsum: 42.8427
• eval_gen_len: 17.0281
• eval_runtime: 128.0437
• eval_samples_per_second: 6.396
• eval_steps_per_second: 0.804
• epoch: 0.03
• step: 64

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 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3