| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: distilbert-base-uncased__hate_speech_offensive__train-16-1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # distilbert-base-uncased__hate_speech_offensive__train-16-1 |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0424 |
| | - Accuracy: 0.5355 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.0989 | 1.0 | 10 | 1.1049 | 0.1 | |
| | | 1.0641 | 2.0 | 20 | 1.0768 | 0.3 | |
| | | 0.9742 | 3.0 | 30 | 1.0430 | 0.4 | |
| | | 0.8765 | 4.0 | 40 | 1.0058 | 0.4 | |
| | | 0.6979 | 5.0 | 50 | 0.8488 | 0.7 | |
| | | 0.563 | 6.0 | 60 | 0.7221 | 0.7 | |
| | | 0.4135 | 7.0 | 70 | 0.6587 | 0.8 | |
| | | 0.2509 | 8.0 | 80 | 0.5577 | 0.7 | |
| | | 0.0943 | 9.0 | 90 | 0.5840 | 0.7 | |
| | | 0.0541 | 10.0 | 100 | 0.6959 | 0.7 | |
| | | 0.0362 | 11.0 | 110 | 0.6884 | 0.6 | |
| | | 0.0254 | 12.0 | 120 | 0.9263 | 0.6 | |
| | | 0.0184 | 13.0 | 130 | 0.7992 | 0.6 | |
| | | 0.0172 | 14.0 | 140 | 0.7351 | 0.6 | |
| | | 0.0131 | 15.0 | 150 | 0.7664 | 0.6 | |
| | | 0.0117 | 16.0 | 160 | 0.8262 | 0.6 | |
| | | 0.0101 | 17.0 | 170 | 0.8839 | 0.6 | |
| | | 0.0089 | 18.0 | 180 | 0.9018 | 0.6 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.15.0 |
| | - Pytorch 1.10.2+cu102 |
| | - Datasets 1.18.2 |
| | - Tokenizers 0.10.3 |
| |
|
