t5-small-finetuned-bbc

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3238
• Rouge1: 21.2266
• Rouge2: 16.0927
• Rougel: 19.6785
• Rougelsum: 19.8849
• Gen Len: 19.0

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• 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
0.4882	1.0	1001	0.3238	21.2266	16.0927	19.6785	19.8849	19.0

Framework versions

• Transformers 4.12.0
• Pytorch 1.10.0
• Datasets 1.14.0
• Tokenizers 0.10.3