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t5-small-pointer-adv-mtop

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

  • Loss: 0.1341
  • Exact Match: 0.5817

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
2.1628 1.09 200 0.7205 0.0022
1.1208 2.17 400 0.6393 0.0013
0.8675 3.26 600 0.5905 0.0027
1.8729 4.35 800 0.5726 0.0031
3.5417 5.43 1000 0.5371 0.0067
0.9087 6.52 1200 0.3512 0.1119
1.2224 7.61 1400 0.2739 0.1911
0.7597 8.69 1600 0.2151 0.3016
0.6981 9.78 1800 0.1736 0.3749
0.4779 10.87 2000 0.1548 0.4166
0.4397 11.96 2200 0.1377 0.4510
0.4101 13.04 2400 0.1480 0.4197
0.3323 14.13 2600 0.1396 0.4398
0.2565 15.22 2800 0.1351 0.4523
0.2108 16.3 3000 0.1341 0.4541

Framework versions

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