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: 3.0285
• Rouge1: 16.9728
• Rouge2: 8.2969
• Rougel: 16.8366
• Rougelsum: 16.8510
• Gen Len: 10.1597

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: 8e-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	Gen Len
6.4205	1.0	1209	3.3904	7.3124	2.1083	7.0649	7.0966	4.7269
3.7818	2.0	2418	3.1762	10.5437	3.0706	10.4618	10.4713	5.3697
3.4672	3.0	3627	3.1304	10.4674	3.0531	10.2156	10.2549	5.9748
3.3179	4.0	4836	3.1170	11.2847	3.3152	11.1387	11.146	6.1723
3.2048	5.0	6045	3.1069	11.5212	3.1957	11.2117	11.2044	6.042
3.1211	6.0	7254	3.1028	11.8104	3.6482	11.5535	11.5259	6.0462
3.0724	7.0	8463	3.1001	11.7336	3.6575	11.4403	11.4738	5.9454
3.0476	8.0	9672	3.0983	11.8061	3.6575	11.4999	11.5414	5.9286

Framework versions

• Transformers 4.12.0.dev0
• Pytorch 1.9.1+cu111
• Datasets 1.12.2.dev0
• Tokenizers 0.10.3