Videomae Base Wlasl 2000 20ep CoR

--- 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_2000_20ep_coR 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_2000_20ep_coR 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: 7.7331 - Accuracy: 0.0051 ## 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: 35720 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-------:|:-----:|:---------------:|:--------:| | 30.647 | 0.05 | 1786 | 7.6329 | 0.0015 | | 30.5394 | 1.0500 | 3572 | 7.6123 | 0.0010 | | 30.4288 | 2.0500 | 5358 | 7.5918 | 0.0015 | | 30.2564 | 3.0500 | 7145 | 7.5909 | 0.0026 | | 30.0749 | 4.05 | 8931 | 7.6150 | 0.0028 | | 29.8125 | 5.0500 | 10717 | 7.6600 | 0.0020 | | 29.5133 | 6.0500 | 12503 | 7.6993 | 0.0023 | | 29.1777 | 7.0500 | 14290 | 7.7246 | 0.0028 | | 28.8751 | 8.05 | 16076 | 7.7638 | 0.0028 | | 28.5476 | 9.0500 | 17862 | 7.7868 | 0.0031 | | 28.2183 | 10.0500 | 19648 | 7.7697 | 0.0028 | | 27.8581 | 11.0500 | 21435 | 7.7797 | 0.0031 | | 27.5243 | 12.05 | 23221 | 7.7842 | 0.0049 | | 27.1882 | 13.0500 | 25007 | 7.7781 | 0.0036 | | 26.8459 | 14.0500 | 26793 | 7.7716 | 0.0043 | | 26.507 | 15.0500 | 28580 | 7.7595 | 0.0041 | | 26.2302 | 16.05 | 30366 | 7.7506 | 0.0051 | | 25.9571 | 17.0500 | 32152 | 7.7419 | 0.0054 | | 25.7257 | 18.0500 | 33938 | 7.7376 | 0.0051 | | 25.5424 | 19.0499 | 35720 | 7.7331 | 0.0051...