WillHeld / t5-base-pointer-adv-cstop_artificial

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 13 2022
text2text-generation

Introduction of t5-base-pointer-adv-cstop_artificial

Model Details of t5-base-pointer-adv-cstop_artificial

t5-base-pointer-adv-cstop_artificial

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

  • Loss: 0.0728
  • Exact Match: 0.7925
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
1.7423 12.5 200 0.1173 0.2397
0.3678 25.0 400 0.0728 0.3363
0.3202 37.5 600 0.0879 0.3381
0.3452 50.0 800 0.0908 0.3363
0.3099 62.5 1000 0.1056 0.3435
0.3057 75.0 1200 0.1109 0.3470
0.3045 87.5 1400 0.1273 0.3453
0.3052 100.0 1600 0.1065 0.3417
0.3037 112.5 1800 0.1387 0.3381
0.3036 125.0 2000 0.1421 0.3453
0.3023 137.5 2200 0.1649 0.3399
0.3028 150.0 2400 0.1574 0.3399
0.3025 162.5 2600 0.1563 0.3399
0.3017 175.0 2800 0.1589 0.3399
0.302 187.5 3000 0.1587 0.3417
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.0
  • Tokenizers 0.13.2

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t5-base-pointer-adv-cstop_artificial install

t5-base-pointer-adv-cstop_artificial is an open source model from GitHub that offers a free installation service, and any user can find t5-base-pointer-adv-cstop_artificial on GitHub to install. At the same time, huggingface.co provides the effect of t5-base-pointer-adv-cstop_artificial install, users can directly use t5-base-pointer-adv-cstop_artificial installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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