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: 3.1290
• Rouge1: 17.0224
• Rouge2: 8.7573
• Rougel: 16.3745
• Rougelsum: 16.4162

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
6.8366	1.0	1209	3.3113	14.1928	5.3446	13.7543	13.6392
3.9739	2.0	2418	3.1838	16.2061	7.7569	15.5957	15.5903
3.6948	3.0	3627	3.1428	16.4438	8.6094	15.9036	15.912
3.5966	4.0	4836	3.1290	17.0224	8.7573	16.3745	16.4162

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1