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: 3.0961
• Rouge1: 18.0893
• Rouge2: 8.8114
• Rougel: 17.2241
• Rougelsum: 17.3175

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
6.8796	1.0	1209	3.3045	15.001	6.3129	14.4408	14.521
3.9359	2.0	2418	3.1826	15.9318	7.5821	15.1938	15.235
3.6446	3.0	3627	3.1361	17.4174	8.7074	16.6003	16.7056
3.5156	4.0	4836	3.1162	17.6097	8.5954	16.8641	16.9235
3.4365	5.0	6045	3.0961	18.0893	8.8114	17.2241	17.3175

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Tokenizers 0.20.3