Videomae Base Finetuned Signlanguage 2

--- 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-2 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-2 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: 1.2542 - Accuracy: 0.6579 ## 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: 6000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:--------:|:----:|:---------------:|:--------:| | 4.2901 | 0.0052 | 31 | 4.2853 | 0.0134 | | 4.2516 | 1.0052 | 62 | 4.2535 | 0.0134 | | 4.2571 | 2.0052 | 93 | 4.2332 | 0.0134 | | 4.2328 | 3.0052 | 124 | 4.2126 | 0.0134 | | 4.2345 | 4.0052 | 155 | 4.2022 | 0.0201 | | 4.2233 | 5.0052 | 186 | 4.1988 | 0.0268 | | 4.2084 | 6.0052 | 217 | 4.1967 | 0.0201 | | 4.1906 | 7.0052 | 248 | 4.2004 | 0.0134 | | 4.176 | 8.0052 | 279 | 4.1855 | 0.0134 | | 4.2101 | 9.0052 | 310 | 4.1755 | 0.0268 | | 4.1634 | 10.0052 | 341 | 4.1699 | 0.0134 | | 4.15 | 11.0052 | 372 | 4.1485 | 0.0 | | 4.1337 | 12.0052 | 403 | 4.1399 | 0.0268 | | 4.0795 | 13.0052 | 434 | 4.0924 | 0.0537 | | 3.9775 | 14.0052 | 465 | 4.0237 | 0.0336 | | 3.9058 | 15.0052 | 496 | 3.9771 | 0.0671 | | 3.8452 | 16.0052 | 527 | 3.9138 | 0.0671 | | 3.672 | 17.0052 | 558 | 3.8184 | 0.0940 | | 3.5136 | 18.0052 | 589 | 3.6811 | 0.1477 | | 3.3814 | 19.0052 | 620 | 3.6399 | 0.1208 | | 3.2558 | 20.0052 | 651 | 3.4243 | 0.2081 | | 3.01 | 21.0052 | 682 | 3.3260 | 0.2148 | | 2.9555 | 22.0052 | 713 | 3.2369 | 0.2215 | | 2.684...