mt5-small-cnn-dm-kaggle-en

This model is a fine-tuned version of google/mt5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

• Loss: 3.2499
• Rouge1: 25.24
• Rouge2: 11.4243
• Rougel: 22.1837
• Rougelsum: 22.2212

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.7959	1.0	2668	3.3796	24.6486	10.95	21.6027	21.6371
3.6116	2.0	5336	3.2863	25.0485	11.2204	21.9543	21.9949
3.5264	3.0	8004	3.2426	25.1151	11.2913	22.0778	22.1108
3.4845	4.0	10672	3.2499	25.24	11.4243	22.1837	22.2212

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3