bobbyw / deberta-v3-large_v1_no_entities_with_context

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: -1
30-day runs: -3
Model's Last Updated: May 07 2024
text-classification

Introduction of deberta-v3-large_v1_no_entities_with_context

Model Details of deberta-v3-large_v1_no_entities_with_context

deberta-v3-large_v1_no_entities_with_context

This model is a fine-tuned version of bobbyw/deberta-v3-large_v1_no_entities_with_context on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0260
  • Accuracy: 0.0045
  • F1: 0.0090
  • Precision: 0.0045
  • Recall: 1.0
  • Learning Rate: 0.0
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: 4
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall Rate
0.0296 1.0 540 0.0260 0.0045 0.0090 0.0045 1.0 0.0000
0.0292 2.0 1080 0.0261 0.0045 0.0090 0.0045 1.0 1e-05
0.0306 3.0 1620 0.0260 0.0045 0.0090 0.0045 1.0 5e-06
0.0297 4.0 2160 0.0260 0.0045 0.0090 0.0045 1.0 0.0
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of bobbyw deberta-v3-large_v1_no_entities_with_context on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-3
30-day runs

More Information About deberta-v3-large_v1_no_entities_with_context huggingface.co Model

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deberta-v3-large_v1_no_entities_with_context install

deberta-v3-large_v1_no_entities_with_context is an open source model from GitHub that offers a free installation service, and any user can find deberta-v3-large_v1_no_entities_with_context on GitHub to install. At the same time, huggingface.co provides the effect of deberta-v3-large_v1_no_entities_with_context install, users can directly use deberta-v3-large_v1_no_entities_with_context installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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bobbyw
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