--- license: mit base_model: xlnet-base-cased tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: IMDB-XLNet-CLSModel_v3 results: [] --- # IMDB-XLNet-CLSModel_v3 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1544 - Accuracy: 0.9466 - F1: 0.9466 - Precision: 0.9467 - Recall: 0.9466 ## 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-06 - train_batch_size: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| | No log | 0.3836 | 300 | 0.1660 | 0.9406 | 0.9406 | 0.9413 | 0.9406 | | 0.2833 | 0.7673 | 600 | 0.1544 | 0.9466 | 0.9466 | 0.9467 | 0.9466 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.1.2 - Datasets 2.19.2 - Tokenizers 0.19.1