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: 1.6822
• eval_rouge1: 42.7873
• eval_rouge2: 18.9262
• eval_rougeL: 35.6525
• eval_rougeLsum: 39.2395
• eval_gen_len: 17.2967
• eval_runtime: 51.0444
• eval_samples_per_second: 16.045
• eval_steps_per_second: 2.018
• epoch: 0.21
• step: 392

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 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.0
• Tokenizers 0.13.3