--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8 results: [] --- # videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8 This model is a fine-tuned version of [MCG-NJU/videomae-base-short-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-short-finetuned-ssv2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7821 - Accuracy: 0.6713 ## 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: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - training_steps: 3200 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.4247 | 0.06 | 200 | 0.4205 | 0.8063 | | 0.4125 | 1.06 | 400 | 0.6749 | 0.72 | | 0.3265 | 2.06 | 600 | 1.3838 | 0.5763 | | 0.2204 | 3.06 | 800 | 0.6725 | 0.7275 | | 0.2965 | 4.06 | 1000 | 0.4583 | 0.8263 | | 0.1883 | 5.06 | 1200 | 0.3786 | 0.8488 | | 0.1321 | 6.06 | 1400 | 1.6632 | 0.5962 | | 0.369 | 7.06 | 1600 | 0.6018 | 0.8063 | | 0.3764 | 8.06 | 1800 | 0.8546 | 0.74 | | 0.2401 | 9.06 | 2000 | 0.5422 | 0.825 | | 0.1943 | 10.06 | 2200 | 0.5868 | 0.8113 | | 0.1352 | 11.06 | 2400 | 0.7111 | 0.8063 | | 0.2276 | 12.06 | 2600 | 0.8847 | 0.7812 | | 0.149 | 13.06 | 2800 | 0.8581 | 0.7837 | | 0.0848 | 14.06 | 3000 | 0.8707 | 0.7788 | | 0.046 | 15.06 | 3200 | 0.7914 | 0.7963 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.1+cu117 - Datasets 2.8.0 - Tokenizers 0.13.2