Ftmhd / my_DeBERTa_model

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: October 28 2024
text-classification

Introduction of my_DeBERTa_model

Model Details of my_DeBERTa_model

my_DeBERTa_model

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.7012
  • eval_model_preparation_time: 0.0087
  • eval_accuracy: 0.4814
  • eval_f1: 0.0747
  • eval_precision: 0.0400
  • eval_recall: 0.5741
  • eval_runtime: 19.2911
  • eval_samples_per_second: 55.777
  • eval_steps_per_second: 18.61
  • step: 0
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: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.0.2
  • Tokenizers 0.19.1

Runs of Ftmhd my_DeBERTa_model on huggingface.co

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

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my_DeBERTa_model huggingface.co Url

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https://huggingface.co/Ftmhd/my_DeBERTa_model

my_DeBERTa_model install

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

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https://huggingface.co/Ftmhd/my_DeBERTa_model

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