flan-t5-small-samsum

This model is a fine-tuned version of google/flan-t5-small on the samsum dataset.

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	461	nan	41.7065	17.7336	34.2478	38.1372	16.8864

Framework versions

• Transformers 4.26.0
• Pytorch 1.12.0+cu116
• Datasets 2.9.0
• Tokenizers 0.12.1