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:

• Loss: nan
• Rouge1: 46.2923
• Rouge2: 22.272
• Rougel: 38.6727
• Rougelsum: 42.1955
• Gen Len: 16.7778

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	1842	nan	46.2923	22.272	38.6727	42.1955	16.7778
0.0	2.0	3684	nan	46.2923	22.272	38.6727	42.1955	16.7778
0.0	3.0	5526	nan	46.2923	22.272	38.6727	42.1955	16.7778
0.0	4.0	7368	nan	46.2923	22.272	38.6727	42.1955	16.7778
0.0	5.0	9210	nan	46.2923	22.272	38.6727	42.1955	16.7778

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0