g-assismoraes / mdeberta-domain_fold4

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: -7
Model's Last Updated: October 29 2024
text-classification

Introduction of mdeberta-domain_fold4

Model Details of mdeberta-domain_fold4

mdeberta-domain_fold4

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3705
  • Accuracy: 0.8552
  • Precision: 0.8128
  • Recall: 0.8276
  • F1: 0.8194
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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
1.0349 1.0 19 0.9208 0.5931 0.8644 0.3333 0.2482
0.88 2.0 38 0.7011 0.5931 0.8644 0.3333 0.2482
0.68 3.0 57 0.6370 0.5931 0.8644 0.3333 0.2482
0.6179 4.0 76 0.5360 0.8 0.6860 0.6971 0.6459
0.4709 5.0 95 0.3949 0.8483 0.7967 0.7860 0.7852
0.3643 6.0 114 0.3526 0.8690 0.8279 0.8209 0.8236
0.2901 7.0 133 0.3713 0.8690 0.8269 0.8277 0.8242
0.2414 8.0 152 0.3506 0.8759 0.8394 0.8392 0.8374
0.1941 9.0 171 0.3766 0.8621 0.8206 0.8391 0.8290
0.1977 10.0 190 0.3705 0.8552 0.8128 0.8276 0.8194
Framework versions
  • Transformers 4.46.0
  • Pytorch 2.3.1
  • Datasets 2.21.0
  • Tokenizers 0.20.1

Runs of g-assismoraes mdeberta-domain_fold4 on huggingface.co

6
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
-7
30-day runs

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mdeberta-domain_fold4 install

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