rishavranaut / flanT5_large_MT

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: October 14 2024
text-classification

Introduction of flanT5_large_MT

Model Details of flanT5_large_MT

flanT5_large_MT

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9444
  • Accuracy: 0.815
  • Precision: 0.8339
  • Recall: 0.7867
  • F1 score: 0.8096
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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 score
1.2742 0.3910 2500 1.6400 0.69 0.7096 0.6433 0.6748
1.2294 0.7820 5000 0.9952 0.725 0.7872 0.6167 0.6916
1.0532 1.1730 7500 1.1585 0.69 0.6875 0.6967 0.6921
0.9314 1.5640 10000 0.8117 0.7417 0.7580 0.71 0.7332
0.8698 1.9550 12500 0.7872 0.7367 0.7817 0.6567 0.7138
0.7603 2.3459 15000 0.9449 0.77 0.7470 0.8167 0.7803
0.7207 2.7369 17500 0.9339 0.7917 0.7850 0.8033 0.7941
0.6447 3.1279 20000 1.0756 0.8017 0.8198 0.7733 0.7959
0.5358 3.5189 22500 1.0722 0.79 0.7788 0.81 0.7941
0.5169 3.9099 25000 1.0001 0.8067 0.8407 0.7567 0.7965
0.4011 4.3009 27500 1.0915 0.805 0.8144 0.79 0.8020
0.3177 4.6919 30000 1.2966 0.8083 0.8157 0.7967 0.8061
0.2783 5.0829 32500 1.2640 0.8117 0.7913 0.8467 0.8180
0.1352 5.4739 35000 1.3695 0.82 0.8333 0.8 0.8163
0.2168 5.8649 37500 1.3541 0.8133 0.8287 0.79 0.8089
0.1186 6.2559 40000 1.4063 0.8167 0.8276 0.8 0.8136
0.1205 6.6469 42500 1.6920 0.8033 0.7993 0.81 0.8046
0.0957 7.0378 45000 1.5681 0.815 0.8225 0.8033 0.8128
0.0406 7.4288 47500 1.9015 0.8083 0.8269 0.78 0.8027
0.0558 7.8198 50000 1.8359 0.8017 0.7967 0.81 0.8033
0.0549 8.2108 52500 1.8649 0.8083 0.8201 0.79 0.8048
0.0515 8.6018 55000 1.8556 0.8067 0.7949 0.8267 0.8105
0.0378 8.9928 57500 1.9273 0.7983 0.7806 0.83 0.8045
0.0182 9.3838 60000 1.9497 0.8133 0.8287 0.79 0.8089
0.0264 9.7748 62500 1.9444 0.815 0.8339 0.7867 0.8096
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

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flanT5_large_MT install

flanT5_large_MT is an open source model from GitHub that offers a free installation service, and any user can find flanT5_large_MT on GitHub to install. At the same time, huggingface.co provides the effect of flanT5_large_MT install, users can directly use flanT5_large_MT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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