mt5-small-finetuned-amazon-en-es – AI Model by tensor-polinomics | AlphaNeural AI

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tensor-polinomics/
mt5-small-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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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: 2.6666
Rouge1: 31.1821
Rouge2: 15.9392
Rougel: 28.6637
Rougelsum: 28.626

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.1319	1.0	1766	3.1480	30.7442	15.6759	28.2847	28.2519
3.1237	2.0	3532	2.6732	30.8928	15.7788	28.3879	28.3384
3.0211	3.0	5298	2.6666	31.1821	15.9392	28.6637	28.626

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.1