metadata
base_model: MinhND2301/toxic_classification_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: toxic_classification_model
results: []
toxic_classification_model
This model is a fine-tuned version of MinhND2301/toxic_classification_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3017
- Accuracy: 0.9108
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 436 | 0.2677 | 0.9009 |
| 0.1858 | 2.0 | 872 | 0.2940 | 0.9030 |
| 0.151 | 3.0 | 1308 | 0.3017 | 0.9108 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3