metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
datasets:
  - billsum
model-index:
  - name: summarization_model_billsum
    results: []

summarization_model_billsum

This model is a fine-tuned version of google/mt5-small on the billsum 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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0