mt5-small-finetuned-amazon-en-es

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

• Loss: 3.0275
• Rouge1: 16.8343
• Rouge2: 8.3468
• Rougel: 16.5075
• Rougelsum: 16.5051

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.6695	1.0	1209	3.2301	16.6902	8.6387	16.1226	16.1223
3.6562	2.0	2418	3.1075	18.2846	8.9423	17.7003	17.6609
3.4356	3.0	3627	3.0735	17.6833	8.7255	17.2273	17.1683
3.3173	4.0	4836	3.0593	17.7885	8.8924	17.154	17.1231
3.2311	5.0	6045	3.0447	16.9	8.2819	16.4802	16.4808
3.1825	6.0	7254	3.0322	16.9543	8.3999	16.6766	16.7414
3.1365	7.0	8463	3.0256	16.8346	8.3582	16.4574	16.4965
3.1112	8.0	9672	3.0275	16.8343	8.3468	16.5075	16.5051

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1