--- license: mit base_model: microsoft/deberta-v3-base tags: - generated_from_trainer model-index: - name: deberta-v3-base-rank32 results: [] --- # deberta-v3-base-rank32 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.8605 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 13.9481 | 1.0 | 179 | 8.8949 | | 7.5843 | 2.0 | 358 | 5.4569 | | 5.6191 | 3.0 | 537 | 4.8605 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.1+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0