t5-v1_1-small-finetuned-cnn_dailymail

This model is a fine-tuned version of google/t5-v1_1-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.7123
• Rouge1: 19.7017
• Rouge2: 6.4434
• Rougel: 16.2918
• Rougelsum: 17.9363

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: 5.6e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
4.2648	1.0	1250	2.8358	19.991	6.6592	16.4565	18.3361
3.5672	2.0	2500	2.7767	20.2215	6.7681	16.6295	18.5711

Framework versions

• Transformers 4.28.1
• Pytorch 1.9.1+cu111
• Datasets 2.11.0
• Tokenizers 0.13.3