metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__hate_speech_offensive__train-16-3
results: []
distilbert-base-uncased__hate_speech_offensive__train-16-3
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0675
- Accuracy: 0.44
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0951 | 1.0 | 10 | 1.1346 | 0.1 |
| 1.0424 | 2.0 | 20 | 1.1120 | 0.2 |
| 0.957 | 3.0 | 30 | 1.1002 | 0.3 |
| 0.7889 | 4.0 | 40 | 1.0838 | 0.4 |
| 0.6162 | 5.0 | 50 | 1.0935 | 0.5 |
| 0.4849 | 6.0 | 60 | 1.0867 | 0.5 |
| 0.3089 | 7.0 | 70 | 1.1145 | 0.5 |
| 0.2145 | 8.0 | 80 | 1.1278 | 0.6 |
| 0.0805 | 9.0 | 90 | 1.2801 | 0.6 |
| 0.0497 | 10.0 | 100 | 1.3296 | 0.6 |
| 0.0328 | 11.0 | 110 | 1.2913 | 0.6 |
| 0.0229 | 12.0 | 120 | 1.3692 | 0.6 |
| 0.0186 | 13.0 | 130 | 1.4642 | 0.6 |
| 0.0161 | 14.0 | 140 | 1.5568 | 0.6 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3