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: 3.4337
• Rouge1: 21.1255
• Rouge2: 4.2863
• Rougel: 18.1386
• Rougelsum: 19.8077
• Gen Len: 15.23

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: 0.01
• 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	13	3.4337	21.1255	4.2863	18.1386	19.8077	15.23

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.1
• Datasets 2.19.1
• Tokenizers 0.19.1