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t5-base-adv-mtop

This model is a fine-tuned version of google/mt5-base on the mtop dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1009
  • Exact Match: 0.7937

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 3000

Training results

Training Loss Epoch Step Validation Loss Exact Match
4.2521 1.09 200 0.1367 0.5418
6.2586 2.17 400 0.1020 0.6004
4.0003 3.26 600 0.1009 0.6179
2.7191 4.35 800 0.1066 0.6251
1.5031 5.43 1000 0.1215 0.6286
0.703 6.52 1200 0.1238 0.6215
0.6371 7.61 1400 0.1365 0.6286
0.3712 8.69 1600 0.1450 0.6300
0.5666 9.78 1800 0.1500 0.6295
0.5237 10.87 2000 0.1416 0.6251
0.4562 11.96 2200 0.1464 0.6313
0.3421 13.04 2400 0.1635 0.6277
0.3686 14.13 2600 0.1643 0.6322
0.218 15.22 2800 0.1800 0.6277
0.2371 16.3 3000 0.1742 0.6268

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.0
  • Tokenizers 0.13.2
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