metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - big_patent
model-index:
  - name: t5-small-finetuned
    results: []

t5-small-finetuned

This model is a fine-tuned version of t5-small on the big_patent 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.34.1
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.14.1