metadata

library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - summarization
  - generated_from_trainer
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 the None dataset. It achieves the following results on the evaluation set:

eval_loss: 22.3000
eval_rouge1: 0.1978
eval_rouge2: 0.0
eval_rougeL: 0.1971
eval_rougeLsum: 0.194
eval_runtime: 8.091
eval_samples_per_second: 29.415
eval_steps_per_second: 0.989
step: 0

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: 32
eval_batch_size: 32
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: 8

Framework versions

Transformers 4.53.3
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.4-dev.0