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stog-t5-small

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

  • Loss: 0.1414

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: 0.001
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss
No log 0.12 100 0.4625
No log 0.24 200 0.3056
No log 0.36 300 0.2393
No log 0.48 400 0.1999
No log 0.61 500 0.1740
No log 0.73 600 0.1562
No log 0.85 700 0.1467
No log 0.97 800 0.1418

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train milyiyo/stog-t5-small