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flanT5_large_FINAL_Task2_semantic_pred

rishavranaut / flanT5_large_FINAL_Task2_semantic_pred

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: -1
30-day runs: 0
Model's Last Updated: 10월 22 2024
text-classification

Introduction of flanT5_large_FINAL_Task2_semantic_pred

Model Details of flanT5_large_FINAL_Task2_semantic_pred

flanT5_large_FINAL_Task2_semantic_pred

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: 1.2525
  • Accuracy: 0.8814
  • Precision: 0.8988
  • Recall: 0.8604
  • F1 score: 0.8792
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
0.8828 0.4257 2500 0.8908 0.8257 0.7870 0.8946 0.8373
0.7602 0.8515 5000 0.9174 0.8371 0.8395 0.8348 0.8371
0.6466 1.2772 7500 0.6703 0.8671 0.9216 0.8034 0.8584
0.5325 1.7030 10000 0.6555 0.8657 0.8560 0.8803 0.8680
0.5041 2.1287 12500 0.8110 0.8557 0.8592 0.8519 0.8555
0.3444 2.5545 15000 0.8804 0.8729 0.8701 0.8775 0.8738
0.3324 2.9802 17500 0.8064 0.8686 0.8866 0.8462 0.8659
0.2141 3.4060 20000 0.7677 0.8686 0.8529 0.8917 0.8719
0.2403 3.8317 22500 0.6505 0.8686 0.9218 0.8063 0.8602
0.1754 4.2575 25000 1.1009 0.8543 0.832 0.8889 0.8595
0.1455 4.6832 27500 0.9066 0.8557 0.8189 0.9145 0.8641
0.1004 5.1090 30000 1.0664 0.8686 0.8607 0.8803 0.8704
0.0522 5.5347 32500 1.2579 0.8729 0.8808 0.8632 0.8719
0.0742 5.9605 35000 1.0095 0.8786 0.8912 0.8632 0.8770
0.0435 6.3862 37500 1.3122 0.8614 0.8342 0.9031 0.8673
0.0263 6.8120 40000 1.1928 0.8743 0.8725 0.8775 0.875
0.0226 7.2377 42500 1.2052 0.8757 0.8882 0.8604 0.8741
0.0219 7.6635 45000 1.1019 0.8829 0.8854 0.8803 0.8829
0.0271 8.0892 47500 1.2264 0.88 0.8761 0.8860 0.8810
0.0073 8.5150 50000 1.2916 0.8786 0.8866 0.8689 0.8777
0.0197 8.9407 52500 1.1860 0.88 0.8915 0.8661 0.8786
0.0066 9.3665 55000 1.2615 0.88 0.8938 0.8632 0.8783
0.0098 9.7922 57500 1.2525 0.8814 0.8988 0.8604 0.8792
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of rishavranaut flanT5_large_FINAL_Task2_semantic_pred on huggingface.co

1
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
0
30-day runs

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flanT5_large_FINAL_Task2_semantic_pred install

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rishavranaut
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