metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-uncased
model-index:
- name: distilbert-base-uncased__hate_speech_offensive__train-32-5
results: []
distilbert-base-uncased__hate_speech_offensive__train-32-5
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: 1.1327
- Accuracy: 0.57
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 |
|---|---|---|---|---|
| 1.0972 | 1.0 | 19 | 1.0470 | 0.45 |
| 0.9738 | 2.0 | 38 | 0.9244 | 0.65 |
| 0.7722 | 3.0 | 57 | 0.8612 | 0.65 |
| 0.4929 | 4.0 | 76 | 0.6759 | 0.75 |
| 0.2435 | 5.0 | 95 | 0.7273 | 0.7 |
| 0.0929 | 6.0 | 114 | 0.6444 | 0.85 |
| 0.0357 | 7.0 | 133 | 0.7671 | 0.8 |
| 0.0173 | 8.0 | 152 | 0.7599 | 0.75 |
| 0.0121 | 9.0 | 171 | 0.8140 | 0.8 |
| 0.0081 | 10.0 | 190 | 0.7861 | 0.8 |
| 0.0066 | 11.0 | 209 | 0.8318 | 0.8 |
| 0.0057 | 12.0 | 228 | 0.8777 | 0.8 |
| 0.0053 | 13.0 | 247 | 0.8501 | 0.8 |
| 0.004 | 14.0 | 266 | 0.8603 | 0.8 |
| 0.004 | 15.0 | 285 | 0.8787 | 0.8 |
| 0.0034 | 16.0 | 304 | 0.8969 | 0.8 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3