metadata

library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: mt5-small-finetuned-amazon-en-es
    results: []

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: 3.3451
Rouge1: 12.9978
Rouge2: 5.3218
Rougel: 12.5685
Rougelsum: 12.5517

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: 10
eval_batch_size: 10
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
4.4084	1.0	968	3.3451	12.9978	5.3218	12.5685	12.5517

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3