--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-ucf_crime2 results: [] --- # videomae-base-finetuned-ucf_crime2 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8463 - Accuracy: 0.5200 ## 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 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - training_steps: 2700 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.475 | 0.05 | 135 | 0.9935 | 0.6004 | | 1.44 | 1.05 | 270 | 1.4196 | 0.4274 | | 1.1084 | 2.05 | 405 | 0.9135 | 0.6737 | | 0.8732 | 3.05 | 540 | 1.1984 | 0.5479 | | 1.4184 | 4.05 | 675 | 1.3373 | 0.4926 | | 1.1355 | 5.05 | 810 | 0.9888 | 0.6148 | | 0.4522 | 6.05 | 945 | 1.0745 | 0.5694 | | 0.7754 | 7.05 | 1080 | 1.5848 | 0.5330 | | 1.1235 | 8.05 | 1215 | 1.3688 | 0.5753 | | 1.611 | 9.05 | 1350 | 0.6958 | 0.7694 | | 0.5714 | 10.05 | 1485 | 0.8027 | 0.7542 | | 0.716 | 11.05 | 1620 | 1.3503 | 0.6782 | | 0.6642 | 12.05 | 1755 | 1.0798 | 0.6957 | | 0.8451 | 13.05 | 1890 | 1.2328 | 0.7479 | | 0.6157 | 14.05 | 2025 | 1.9403 | 0.5762 | | 0.3358 | 15.05 | 2160 | 1.3435 | 0.6939 | | 0.5394 | 16.05 | 2295 | 1.2524 | 0.7056 | | 0.3334 | 17.05 | 2430 | 1.1190 | 0.7645 | | 0.3513 | 18.05 | 2565 | 1.2137 | 0.7461 | | 0.2531 | 19.05 | 2700 | 1.2131 | 0.7362 | ### Framework versions - Transformers 4.29.2 - Pytorch 1.13.1+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3