flan-t5-small-samsum

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:

• eval_loss: 1.7427
• eval_rouge1: 41.8558
• eval_rouge2: 17.8703
• eval_rougeL: 34.4044
• eval_rougeLsum: 38.0905
• eval_gen_len: 16.8437
• eval_runtime: 24.3059
• eval_samples_per_second: 33.696
• eval_steps_per_second: 2.139
• epoch: 1.0
• step: 32

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: 1e-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 4.26.1
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2