mt5-small-finetuned-14feb-2

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

• Loss: 2.3707
• Rouge1: 19.73
• Rouge2: 5.7
• Rougel: 19.46

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: 0.000275
• 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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
4.0753	1.0	388	2.5514	16.43	4.92	16.27
2.9891	2.0	776	2.4500	18.18	5.25	17.93
2.7596	3.0	1164	2.4263	19.56	5.46	19.08
2.6168	4.0	1552	2.3966	18.31	5.62	17.97
2.5137	5.0	1940	2.3596	19.99	6.15	19.7
2.4365	6.0	2328	2.3663	19.92	6.09	19.62
2.3821	7.0	2716	2.3707	19.73	5.7	19.46

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2