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t5-base-pointer-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: 0.1281
  • Exact Match: 0.7105

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
1.7704 1.09 200 0.3664 0.1315
1.9751 2.17 400 0.2091 0.3400
1.0019 3.26 600 0.1453 0.4586
1.313 4.35 800 0.1313 0.5065
0.6593 5.43 1000 0.1281 0.5266
0.3216 6.52 1200 0.1317 0.5253
0.4614 7.61 1400 0.1508 0.5262
0.3577 8.69 1600 0.1422 0.5360
0.3748 9.78 1800 0.1419 0.5459
0.2422 10.87 2000 0.1603 0.5356
0.4443 11.96 2200 0.1526 0.5472
0.2671 13.04 2400 0.1606 0.5481
0.227 14.13 2600 0.1774 0.5441
0.2053 15.22 2800 0.1752 0.5441
0.1517 16.3 3000 0.1770 0.5481

Framework versions

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