| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/bigbird-roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: FNetHateSpeechClassification |
| | 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. --> |
| |
|
| | # FNetHateSpeechClassification |
| |
|
| | This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6932 |
| | - Accuracy: 0.4802 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 0.6965 | 1.0 | 1137 | 0.6932 | 0.4802 | |
| | | 0.6943 | 2.0 | 2274 | 0.6927 | 0.5198 | |
| | | 0.6949 | 3.0 | 3411 | 0.6949 | 0.4802 | |
| | | 0.6941 | 4.0 | 4548 | 0.6936 | 0.4802 | |
| | | 0.6939 | 5.0 | 5685 | 0.6926 | 0.5198 | |
| | | 0.6937 | 6.0 | 6822 | 0.6926 | 0.5198 | |
| | | 0.6937 | 7.0 | 7959 | 0.6935 | 0.4802 | |
| | | 0.694 | 8.0 | 9096 | 0.6936 | 0.4802 | |
| | | 0.6934 | 9.0 | 10233 | 0.6932 | 0.4802 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.1 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| |
|
