README.md

metadata

language:
  - en
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
datasets:
  - discord
metrics:
  - accuracy
model-index:
  - name: discord-crypto-scam-detector
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: discord-crypto
          type: discord
          args: 'config: en'
        metrics:
          - name: Accuracy
            type: accuracy
            value: 1

discord-crypto-scam-detector

This model is a fine-tuned version of bert-base-cased on the discord-crypto dataset. It achieves the following results on the evaluation set:

• Loss: 0.5311
• Accuracy: 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: 5e-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: 3.0

Training results

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3