--- license: mit base_model: flaubert/flaubert_base_cased tags: - generated_from_trainer model-index: - name: question_classification results: [] --- # question_classification This model is a fine-tuned version of [flaubert/flaubert_base_cased](https://huggingface.co/flaubert/flaubert_base_cased) on the None dataset. ## 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: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | No log | 1.0 | 204 | 1.8861 | 0.3582 | 0.3576 | ### Framework versions - Transformers 4.35.2 - Pytorch 1.13.1+cu117 - Datasets 2.14.5 - Tokenizers 0.15.2