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# discord-crypto-scam-detector

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the discord-crypto dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7261
- Accuracy: 0.6667

## 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

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["discord"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "discord-crypto-scam-detector", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "discord-crypto", "type": "discord", "args": "config: en"}, "metrics": [{"type": "accuracy", "value": 0.6666666666666666, "name": "Accuracy"}]}]}]}
transformers pytorch safetensors bert text-classification generated_from_trainer en dataset:discord base_model:bert-base-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us