metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-finetuned-sql3
    results: []

t5-small-finetuned-sql3

This model is a fine-tuned version of FYP19/t5-small-finetuned-wikisql on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0595
eval_rouge2_precision: 0.6531
eval_rouge2_recall: 0.4156
eval_rouge2_fmeasure: 0.4774
eval_runtime: 13.7731
eval_samples_per_second: 75.074
eval_steps_per_second: 2.396
epoch: 12.0
step: 7884

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3