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 an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 21.5822
eval_model_preparation_time: 0.0113
eval_rouge1: 0.1224
eval_rouge2: 0.0
eval_rougeL: 0.1187
eval_rougeLsum: 0.1224
eval_runtime: 289.2032
eval_samples_per_second: 1.694
eval_steps_per_second: 0.214
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: 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: 8

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3