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: 3.0134
• Rouge1: 15.9126
• Rouge2: 7.2527
• Rougel: 15.474
• Rougelsum: 15.4686

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
3.6983	1.0	1209	3.2107	16.6172	8.5236	15.898	15.9553
3.6379	2.0	2418	3.0731	16.4382	7.6292	15.8204	15.9041
3.4344	3.0	3627	3.0456	17.4139	8.5795	16.8805	16.9012
3.3049	4.0	4836	3.0279	17.3026	8.2542	16.8521	16.8026
3.2357	5.0	6045	3.0383	16.6803	7.4959	16.2268	16.2583
3.1688	6.0	7254	3.0127	16.641	7.6987	16.2072	16.2232
3.1377	7.0	8463	3.0172	16.1591	7.5274	15.7203	15.7465
3.1104	8.0	9672	3.0134	15.9126	7.2527	15.474	15.4686

Framework versions

• Transformers 4.28.1
• Pytorch 1.13.1
• Datasets 2.11.0
• Tokenizers 0.13.0.dev0