BothBosu / distilbert-scam-classifier-v1.1

huggingface.co
Total runs: 6
24-hour runs: 1
7-day runs: 1
30-day runs: 1
Model's Last Updated: May 03 2024
text-classification

Introduction of distilbert-scam-classifier-v1.1

Model Details of distilbert-scam-classifier-v1.1

distilbert-scam-classifier-v1.1

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0022
  • Accuracy: {'accuracy': 1.0}
  • Precision: {'precision': 1.0}
  • Recall: {'recall': 1.0}
  • F1: {'f1': 1.0}
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 40 0.0981 {'accuracy': 0.9875} {'precision': 0.9878048780487806} {'recall': 0.9875} {'f1': 0.9874980465697764}
No log 2.0 80 0.0588 {'accuracy': 0.9875} {'precision': 0.9878048780487806} {'recall': 0.9875} {'f1': 0.9874980465697764}
No log 3.0 120 0.0035 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
No log 4.0 160 0.0033 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
No log 5.0 200 0.0029 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
No log 6.0 240 0.0028 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
No log 7.0 280 0.0025 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
No log 8.0 320 0.0022 {'accuracy': 1.0} {'precision': 1.0} {'recall': 1.0} {'f1': 1.0}
Framework versions
  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of BothBosu distilbert-scam-classifier-v1.1 on huggingface.co

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

More Information About distilbert-scam-classifier-v1.1 huggingface.co Model

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distilbert-scam-classifier-v1.1 huggingface.co is an AI model on huggingface.co that provides distilbert-scam-classifier-v1.1's model effect (), which can be used instantly with this BothBosu distilbert-scam-classifier-v1.1 model. huggingface.co supports a free trial of the distilbert-scam-classifier-v1.1 model, and also provides paid use of the distilbert-scam-classifier-v1.1. Support call distilbert-scam-classifier-v1.1 model through api, including Node.js, Python, http.

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distilbert-scam-classifier-v1.1 install

distilbert-scam-classifier-v1.1 is an open source model from GitHub that offers a free installation service, and any user can find distilbert-scam-classifier-v1.1 on GitHub to install. At the same time, huggingface.co provides the effect of distilbert-scam-classifier-v1.1 install, users can directly use distilbert-scam-classifier-v1.1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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