--- license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - f1 model-index: - name: videomae-base-finetuned-ElderReact-anger-balancedf1 results: [] --- # videomae-base-finetuned-ElderReact-anger-balancedf1 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: 0.7424 - F1: 0.5798 ## 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: 16 - eval_batch_size: 16 - 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: 240 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | 0.7339 | 0.1 | 25 | 0.6865 | 0.4463 | | 0.7007 | 1.1 | 50 | 0.7107 | 0.0476 | | 0.6854 | 2.1 | 75 | 0.6994 | 0.4975 | | 0.715 | 3.1 | 100 | 0.7238 | 0.1333 | | 0.6866 | 4.1 | 125 | 0.7563 | 0.0195 | | 0.6564 | 5.1 | 150 | 0.7628 | 0.1564 | | 0.5809 | 6.1 | 175 | 0.7543 | 0.3831 | | 0.6035 | 7.1 | 200 | 0.7983 | 0.2122 | | 0.6153 | 8.1 | 225 | 0.7542 | 0.4063 | | 0.5099 | 9.06 | 240 | 0.7408 | 0.4526 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2