mt5-small-finetuned-amazon-en-es

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

• Loss: 3.6525
• Rouge1: 0.0899
• Rouge2: 0.0226
• Rougel: 0.0821
• Rougelsum: 0.0807

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: 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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
18.5949	1.0	50	8.8110	0.0298	0.0	0.0298	0.0298
10.7742	2.0	100	5.1285	0.087	0.0087	0.0805	0.0796
7.6938	3.0	150	4.3645	0.0684	0.0	0.0579	0.0615
6.3393	4.0	200	4.0164	0.035	0.0	0.0355	0.035
5.9075	5.0	250	3.7881	0.0579	0.0065	0.051	0.0528
5.7394	6.0	300	3.6971	0.0749	0.0226	0.0733	0.0733
5.4246	7.0	350	3.6652	0.0749	0.0226	0.0733	0.0733
5.2963	8.0	400	3.6525	0.0899	0.0226	0.0821	0.0807

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu118
• Datasets 2.17.1
• Tokenizers 0.15.2