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flanT5_large_Task2_semantic_pred

rishavranaut / flanT5_large_Task2_semantic_pred

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: October 13 2024
text-classification

Introduction of flanT5_large_Task2_semantic_pred

Model Details of flanT5_large_Task2_semantic_pred

flanT5_large_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: 0.9725
  • Accuracy: 0.7979
  • Precision: 0.8195
  • Recall: 0.7566
  • F1 score: 0.7868
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
1.3836 0.4074 2500 1.7839 0.5072 0.0 0.0 0.0
1.3837 0.8147 5000 0.7528 0.5072 0.0 0.0 0.0
1.2525 1.2221 7500 0.7166 0.4928 0.4928 1.0 0.6603
1.2899 1.6295 10000 1.5233 0.6310 0.5765 0.9471 0.7167
1.4214 2.0368 12500 1.2841 0.6571 0.6021 0.8968 0.7205
1.4003 2.4442 15000 1.1805 0.6115 0.5615 0.9656 0.7101
1.3396 2.8516 17500 0.9273 0.6206 0.5683 0.9577 0.7133
1.3938 3.2589 20000 1.5375 0.6858 0.7322 0.5714 0.6419
1.4272 3.6663 22500 1.2804 0.7158 0.7548 0.6270 0.6850
1.2643 4.0737 25000 1.2878 0.7262 0.7692 0.6349 0.6957
1.3015 4.4810 27500 1.1752 0.7158 0.7532 0.6296 0.6859
1.3525 4.8884 30000 1.1726 0.7249 0.6946 0.7884 0.7385
1.2839 5.2957 32500 1.0721 0.7223 0.7586 0.6402 0.6944
1.2047 5.7031 35000 1.3045 0.7223 0.7089 0.7407 0.7245
1.226 6.1105 37500 1.1262 0.7366 0.7486 0.7011 0.7240
1.1001 6.5178 40000 1.2328 0.7445 0.7407 0.7407 0.7407
1.1083 6.9252 42500 1.1119 0.7353 0.7030 0.8016 0.7491
1.0281 7.3326 45000 1.1205 0.7471 0.7434 0.7434 0.7434
1.0396 7.7399 47500 1.1243 0.7640 0.7958 0.7011 0.7454
0.9913 8.1473 50000 0.9882 0.7823 0.8187 0.7169 0.7645
0.9364 8.5547 52500 1.1489 0.7705 0.7488 0.8042 0.7755
1.0081 8.9620 55000 0.9507 0.7810 0.7807 0.7725 0.7766
0.9026 9.3694 57500 1.0181 0.7888 0.7888 0.7804 0.7846
0.8961 9.7768 60000 0.9725 0.7979 0.8195 0.7566 0.7868
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of rishavranaut flanT5_large_Task2_semantic_pred on huggingface.co

1
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-2
30-day runs

More Information About flanT5_large_Task2_semantic_pred huggingface.co Model

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https://huggingface.co/rishavranaut/flanT5_large_Task2_semantic_pred

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flanT5_large_Task2_semantic_pred install

flanT5_large_Task2_semantic_pred is an open source model from GitHub that offers a free installation service, and any user can find flanT5_large_Task2_semantic_pred on GitHub to install. At the same time, huggingface.co provides the effect of flanT5_large_Task2_semantic_pred install, users can directly use flanT5_large_Task2_semantic_pred installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

flanT5_large_Task2_semantic_pred install url in huggingface.co:

https://huggingface.co/rishavranaut/flanT5_large_Task2_semantic_pred

Url of flanT5_large_Task2_semantic_pred

flanT5_large_Task2_semantic_pred huggingface.co Url

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rishavranaut
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Updated:February 13 2025
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