wassapman's picture
update model card README.md
623382e
metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-finetuned-wikisql-v2
    results: []

t5-small-finetuned-wikisql-v2

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

  • Loss: 0.1246
  • Rouge2 Precision: 0.8183
  • Rouge2 Recall: 0.7261
  • Rouge2 Fmeasure: 0.7624

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
0.1953 1.0 4049 0.1574 0.7938 0.7035 0.739
0.1644 2.0 8098 0.1375 0.8083 0.7167 0.7527
0.1517 3.0 12147 0.1296 0.8141 0.7222 0.7584
0.146 4.0 16196 0.1256 0.817 0.7254 0.7614
0.1413 5.0 20245 0.1246 0.8183 0.7261 0.7624

Framework versions

  • Transformers 4.16.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1