metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__hate_speech_offensive__train-32-9
results: []
distilbert-base-uncased__hate_speech_offensive__train-32-9
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: 0.7075
- Accuracy: 0.692
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 |
---|---|---|---|---|
1.1054 | 1.0 | 19 | 1.0938 | 0.35 |
1.0338 | 2.0 | 38 | 1.0563 | 0.65 |
0.8622 | 3.0 | 57 | 0.9372 | 0.6 |
0.5919 | 4.0 | 76 | 0.8461 | 0.6 |
0.3357 | 5.0 | 95 | 1.0206 | 0.45 |
0.1621 | 6.0 | 114 | 0.9802 | 0.7 |
0.0637 | 7.0 | 133 | 1.2434 | 0.65 |
0.0261 | 8.0 | 152 | 1.3865 | 0.65 |
0.0156 | 9.0 | 171 | 1.4414 | 0.7 |
0.01 | 10.0 | 190 | 1.5502 | 0.7 |
0.0079 | 11.0 | 209 | 1.6102 | 0.7 |
0.0062 | 12.0 | 228 | 1.6525 | 0.7 |
0.0058 | 13.0 | 247 | 1.6884 | 0.7 |
0.0046 | 14.0 | 266 | 1.7479 | 0.7 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3