metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - summarization
  - generated_from_trainer
datasets:
  - mlsum
model-index:
  - name: mt5-small-finetuned-mt5
    results: []

mt5-small-finetuned-mt5

This model is a fine-tuned version of google/mt5-small on the mlsum dataset.

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: 4

Framework versions

Transformers 4.41.2
Pytorch 2.3.0
Datasets 2.19.2
Tokenizers 0.19.1