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End of training
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---
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: 0.6666666666666666
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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