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: 3.2830
• Rouge1: 15.06
• Rouge2: 6.78
• Rougel: 14.55
• Rougelsum: 14.52

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 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
No log	1.0	125	3.2940	14.93	6.52	14.68	14.68
No log	2.0	250	3.2848	14.36	6.32	13.93	13.9
No log	3.0	375	3.2891	14.01	6.4	13.68	13.61
No log	4.0	500	3.2786	14.26	6.35	13.87	13.83
No log	5.0	625	3.2825	14.55	5.54	14.17	14.14
No log	6.0	750	3.2934	14.16	6.38	13.81	13.78
No log	7.0	875	3.2830	14.83	6.67	14.43	14.39
No log	8.0	1000	3.2830	15.06	6.78	14.55	14.52

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3