| | --- |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: toxic-text-classifier |
| | 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. --> |
| |
|
| | # toxic-text-classifier |
| |
|
| | 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: |
| | - eval_loss: 0.2945 |
| | - eval_accuracy: 0.8855 |
| | - eval_runtime: 30.3984 |
| | - eval_samples_per_second: 65.793 |
| | - eval_steps_per_second: 6.579 |
| | - epoch: 0.94 |
| | - step: 7500 |
| | |
| | ## 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: 5e-05 |
| | - train_batch_size: 10 |
| | - eval_batch_size: 10 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1.0 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.1 |
| | - Pytorch 2.0.1 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
