mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0235
• Rouge1: 16.8125
• Rouge2: 9.0054
• Rougel: 16.4607
• Rougelsum: 16.3782

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.6964	1.0	1209	3.2660	16.5796	8.1879	16.038	15.9964
3.6612	2.0	2418	3.1208	18.3195	9.3145	17.6299	17.567
3.4414	3.0	3627	3.0604	16.2481	8.07	15.7698	15.7559
3.3168	4.0	4836	3.0624	15.8551	7.5199	15.6639	15.4861
3.2377	5.0	6045	3.0420	16.0485	7.7961	15.817	15.6537
3.1651	6.0	7254	3.0293	16.7136	8.6636	16.5564	16.4142
3.1424	7.0	8463	3.0249	17.0907	8.6811	16.7997	16.6651
3.1144	8.0	9672	3.0235	16.8125	9.0054	16.4607	16.3782

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3