VideoMAE Base Wlasl 100 50ep CoR P10

--- library_name: transformers license: cc-by-nc-4.0 base_model: MCG-NJU/videomae-base tags: - generated_from_trainer metrics: - accuracy model-index: - name: videoMAE_base_wlasl_100_50ep_coR_p10 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # videoMAE_base_wlasl_100_50ep_coR_p10 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: 2.5394 - Accuracy: 0.4911 ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - training_steps: 9000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:----:|:---------------:|:--------:| | 18.6484 | 0.02 | 180 | 4.6434 | 0.0089 | | 18.5863 | 1.0200 | 360 | 4.6257 | 0.0178 | | 18.5141 | 2.0199 | 540 | 4.6094 | 0.0237 | | 18.3951 | 3.0200 | 721 | 4.6105 | 0.0207 | | 18.4598 | 4.02 | 901 | 4.6059 | 0.0148 | | 18.3257 | 5.0200 | 1081 | 4.5610 | 0.0266 | | 17.9377 | 6.0199 | 1261 | 4.4575 | 0.0325 | | 17.0809 | 7.0200 | 1442 | 4.3142 | 0.0355 | | 16.4349 | 8.02 | 1622 | 4.2145 | 0.0296 | | 15.8097 | 9.0200 | 1802 | 3.9967 | 0.0592 | | 14.6937 | 10.0199 | 1982 | 3.9020 | 0.0917 | | 13.3281 | 11.0200 | 2163 | 3.6937 | 0.1036 | | 12.0028 | 12.02 | 2343 | 3.4095 | 0.1834 | | 10.4545 | 13.0200 | 2523 | 3.1194 | 0.2574 | | 8.9317 | 14.0199 | 2703 | 3.0132 | 0.2604 | | 7.3575 | 15.0200 | 2884 | 2.8562 | 0.2959 | | 6.0437 | 16.02 | 3064 | 2.6942 | 0.3373 | | 4.8818 | 17.0200 | 3244 | 2.5883 | 0.3550 | | 3.8135 | 18.0199 | 3424 | 2.5386 | 0.3609 | | 2.7936 | 19.0200 | 3605 | 2.4362 | 0.4053 | | 2.1059 | 20.02 |...