Videomae Base Finetuned Signlanguage

--- 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-finetuned-signlanguage 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-finetuned-signlanguage 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: 1.3358 - Accuracy: 0.6567 ## 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: 1e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - 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: 3560 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:--------:|:----:|:---------------:|:--------:| | 4.2372 | 0.0065 | 23 | 4.2439 | 0.0186 | | 4.2325 | 1.0065 | 46 | 4.2369 | 0.0186 | | 4.1795 | 2.0065 | 69 | 4.2250 | 0.0233 | | 4.211 | 3.0065 | 92 | 4.2141 | 0.0140 | | 4.2361 | 4.0065 | 115 | 4.2051 | 0.0372 | | 4.2524 | 5.0065 | 138 | 4.2052 | 0.0233 | | 4.2297 | 6.0065 | 161 | 4.2014 | 0.0186 | | 4.2596 | 7.0065 | 184 | 4.1950 | 0.0233 | | 4.1911 | 8.0065 | 207 | 4.1898 | 0.0326 | | 4.184 | 9.0065 | 230 | 4.1860 | 0.0279 | | 4.1731 | 10.0065 | 253 | 4.1680 | 0.0419 | | 4.098 | 11.0065 | 276 | 4.1413 | 0.0512 | | 4.1105 | 12.0065 | 299 | 4.1351 | 0.0279 | | 4.1477 | 13.0065 | 322 | 4.1182 | 0.0372 | | 4.0121 | 14.0065 | 345 | 4.0324 | 0.0605 | | 3.8587 | 15.0065 | 368 | 3.9973 | 0.0512 | | 3.8878 | 16.0065 | 391 | 3.9077 | 0.0651 | | 3.7205 | 17.0065 | 414 | 3.8901 | 0.0698 | | 3.6613 | 18.0065 | 437 | 3.7347 | 0.1349 | | 3.5438 | 19.0065 | 460 | 3.6275 | 0.1488 | | 3.4033 | 20.0065 | 483 | 3.5495 | 0.1442 | | 3.2043 | 21.0065 | 506 | 3.5864 | 0.1349 | | 3.1477 | 22.0065 | 529 | 3.4515 | 0.1674 | | 3.03...