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: 1.6754
• eval_rouge1: 42.7098
• eval_rouge2: 18.3566
• eval_rougeL: 35.2282
• eval_rougeLsum: 38.9027
• eval_gen_len: 16.8474
• eval_runtime: 23.9949
• eval_samples_per_second: 34.132
• eval_steps_per_second: 0.667
• step: 0

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: 52
• eval_batch_size: 52
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0