test-huggingface-ibm

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: 1.3861
• Rouge1: 46.7991
• Rouge2: 23.253
• Rougel: 39.2606
• Rougelsum: 43.0759
• Gen Len: 17.1880

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4378	1.0	1842	1.3861	46.7991	23.253	39.2606	43.0759	17.1880

Framework versions

• Transformers 4.30.2
• Pytorch 1.12.1
• Datasets 2.13.0
• Tokenizers 0.11.0