--- tags: - generated_from_trainer metrics: - rouge model-index: - name: SwinV2-GPT2_Mimic results: [] --- # SwinV2-GPT2_Mimic This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1623 - Rouge1: 30.2654 - Rouge2: 21.4825 - Rougel: 30.2471 - Rougelsum: 30.3167 - Gen Len: 9.0 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | No log | 1.0 | 125 | 0.1705 | 30.2654 | 21.4825 | 30.2471 | 30.3167 | 9.0 | | No log | 2.0 | 250 | 0.1623 | 30.2654 | 21.4825 | 30.2471 | 30.3167 | 9.0 | ### Framework versions - Transformers 4.37.1 - Pytorch 1.13.1+cu117 - Datasets 2.15.0 - Tokenizers 0.15.1