metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: roberta-base-finetuned-jigsaw-toxic
results: []
roberta-base-finetuned-jigsaw-toxic
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0412
- F1: 0.7908
- Roc Auc: 0.9048
- Accuracy: 0.9257
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.0524 | 1.0 | 2774 | 0.0432 | 0.7805 | 0.8940 | 0.9254 |
| 0.0348 | 2.0 | 5548 | 0.0412 | 0.7908 | 0.9048 | 0.9257 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1