metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__hate_speech_offensive__train-16-4
results: []
distilbert-base-uncased__hate_speech_offensive__train-16-4
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: 1.0903
- Accuracy: 0.4805
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 |
|---|---|---|---|---|
| 1.0974 | 1.0 | 10 | 1.1139 | 0.1 |
| 1.0637 | 2.0 | 20 | 1.0988 | 0.1 |
| 0.9758 | 3.0 | 30 | 1.1013 | 0.1 |
| 0.9012 | 4.0 | 40 | 1.0769 | 0.3 |
| 0.6993 | 5.0 | 50 | 1.0484 | 0.6 |
| 0.5676 | 6.0 | 60 | 1.0223 | 0.6 |
| 0.4069 | 7.0 | 70 | 0.9190 | 0.6 |
| 0.3192 | 8.0 | 80 | 1.1370 | 0.6 |
| 0.1112 | 9.0 | 90 | 1.1728 | 0.6 |
| 0.07 | 10.0 | 100 | 1.1998 | 0.6 |
| 0.0397 | 11.0 | 110 | 1.3700 | 0.6 |
| 0.027 | 12.0 | 120 | 1.3329 | 0.6 |
| 0.021 | 13.0 | 130 | 1.2697 | 0.6 |
| 0.0177 | 14.0 | 140 | 1.4195 | 0.6 |
| 0.0142 | 15.0 | 150 | 1.5342 | 0.6 |
| 0.0118 | 16.0 | 160 | 1.5999 | 0.6 |
| 0.0108 | 17.0 | 170 | 1.6327 | 0.6 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3