metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__hate_speech_offensive__train-32-2
results: []
distilbert-base-uncased__hate_speech_offensive__train-32-2
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: 0.7136
- Accuracy: 0.679
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 |
|---|---|---|---|---|
| 1.1052 | 1.0 | 19 | 1.0726 | 0.45 |
| 1.0421 | 2.0 | 38 | 1.0225 | 0.5 |
| 0.9173 | 3.0 | 57 | 0.9164 | 0.6 |
| 0.6822 | 4.0 | 76 | 0.8251 | 0.7 |
| 0.4407 | 5.0 | 95 | 0.8908 | 0.5 |
| 0.2367 | 6.0 | 114 | 0.6772 | 0.75 |
| 0.1145 | 7.0 | 133 | 0.7792 | 0.65 |
| 0.0479 | 8.0 | 152 | 1.0657 | 0.6 |
| 0.0186 | 9.0 | 171 | 1.2228 | 0.65 |
| 0.0111 | 10.0 | 190 | 1.1100 | 0.6 |
| 0.0083 | 11.0 | 209 | 1.1991 | 0.65 |
| 0.0067 | 12.0 | 228 | 1.2654 | 0.65 |
| 0.0061 | 13.0 | 247 | 1.2837 | 0.65 |
| 0.0046 | 14.0 | 266 | 1.2860 | 0.6 |
| 0.0043 | 15.0 | 285 | 1.3160 | 0.65 |
| 0.0037 | 16.0 | 304 | 1.3323 | 0.65 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3