metadata
library_name: transformers
license: apache-2.0
base_model: unitary/toxic-bert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of unitary/toxic-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1722
- Accuracy: 71.6771
- Hamming Loss: 0.0620
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: 0.001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Hamming Loss |
|---|---|---|---|---|---|
| 0.1662 | 1.0 | 259 | 0.2600 | 19.9613 | 0.1367 |
| 0.1763 | 2.0 | 518 | 0.1722 | 71.6771 | 0.0620 |
| 0.1825 | 3.0 | 777 | 0.1750 | 71.6771 | 0.0620 |
| 0.1677 | 4.0 | 1036 | 0.1722 | 71.6771 | 0.0620 |
| 0.1827 | 5.0 | 1295 | 0.1696 | 71.6771 | 0.0620 |
| 0.1542 | 6.0 | 1554 | 0.1698 | 71.6771 | 0.0620 |
| 0.1803 | 7.0 | 1813 | 0.1746 | 71.6771 | 0.0620 |
| 0.1691 | 8.0 | 2072 | 0.1702 | 71.6771 | 0.0620 |
| 0.1989 | 9.0 | 2331 | 0.1702 | 71.6771 | 0.0620 |
| 0.1884 | 10.0 | 2590 | 0.1693 | 71.6771 | 0.0620 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3