--- license: mit tags: - generated_from_trainer model-index: - name: refinement-finetuned-mnli-kaggle-reversal results: [] --- # refinement-finetuned-mnli-kaggle-reversal This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0382 ## 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: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.4093 | 1.0 | 12599 | 0.7861 | | 0.5241 | 2.0 | 25198 | 0.9800 | | 0.4969 | 3.0 | 37797 | 1.0316 | | 0.4239 | 4.0 | 50396 | 1.0382 | ### Framework versions - Transformers 4.22.2 - Pytorch 1.10.0 - Datasets 2.5.1 - Tokenizers 0.12.1