KatoHF / deberta-v3-large-classifier

huggingface.co
Total runs: 22
24-hour runs: 0
7-day runs: -2
30-day runs: 14
Model's Last Updated: December 23 2023
text-classification

Introduction of deberta-v3-large-classifier

Model Details of deberta-v3-large-classifier

deberta-v3-large-classifier

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

  • Loss: 0.4924
  • Accuracy: 0.7255
  • F1: 0.7230
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: 8e-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 32
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
0.4852 1.0 15898 0.4908 0.7223 0.7143
0.4751 2.0 31796 0.4924 0.7255 0.7230
Framework versions
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.0

Runs of KatoHF deberta-v3-large-classifier on huggingface.co

22
Total runs
0
24-hour runs
-2
3-day runs
-2
7-day runs
14
30-day runs

More Information About deberta-v3-large-classifier huggingface.co Model

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deberta-v3-large-classifier install

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