metadata

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: 5.1487
eval_rouge1: 1.5273
eval_rouge2: 0.3056
eval_rougeL: 1.4358
eval_rougeLsum: 1.466
eval_runtime: 67.6587
eval_samples_per_second: 3.518
eval_steps_per_second: 0.443
epoch: 0.08
step: 97

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Framework versions

Transformers 4.32.0
Pytorch 2.1.0.dev20230829
Datasets 2.14.4
Tokenizers 0.13.3