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: 3.0163
• Rouge1: 16.4647
• Rouge2: 7.4149
• Rougel: 16.2555
• Rougelsum: 16.1836

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
3.688	1.0	1209	3.2134	17.0085	8.8944	16.3547	16.4524
3.6702	2.0	2418	3.0993	17.397	8.6213	17.0284	16.9829
3.4419	3.0	3627	3.0667	16.9732	7.4209	16.3507	16.3457
3.3136	4.0	4836	3.0511	17.6261	8.0141	16.9829	17.0179
3.2299	5.0	6045	3.0376	16.6415	7.1214	16.2463	16.2489
3.171	6.0	7254	3.0240	16.7934	7.3099	16.4251	16.3639
3.1366	7.0	8463	3.0216	16.488	7.2649	16.282	16.1983
3.1123	8.0	9672	3.0163	16.4647	7.4149	16.2555	16.1836

Framework versions

• Transformers 4.40.0
• Pytorch 2.5.1+cu124
• Datasets 4.8.4
• Tokenizers 0.19.1