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: 1.4020
• eval_rouge1: 46.9165
• eval_rouge2: 23.2404
• eval_rougeL: 39.2696
• eval_rougeLsum: 43.164
• eval_gen_len: 17.2625
• eval_runtime: 86.6884
• eval_samples_per_second: 9.448
• eval_steps_per_second: 0.6
• epoch: 1.0
• step: 921

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Framework versions

• Transformers 4.41.0
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1