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videomae-base-finetuned-isl-numbers-alphabet-nouns

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +107 -0
  2. model.safetensors +1 -1
  3. runs/Apr24_20-05-06_blackhorse/events.out.tfevents.1714244811.blackhorse.9061.1 +3 -0
README.md CHANGED
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  license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: videomae-base-finetuned-isl-numbers-alphabet-nouns
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+ results: []
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  ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # videomae-base-finetuned-isl-numbers-alphabet-nouns
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4278
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+ - Accuracy: 0.8875
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 15800
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 4.5228 | 0.02 | 316 | 4.3514 | 0.2534 |
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+ | 3.0795 | 1.02 | 632 | 2.8515 | 0.5816 |
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+ | 1.8438 | 2.02 | 948 | 1.7508 | 0.7332 |
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+ | 1.1451 | 3.02 | 1264 | 1.1464 | 0.7390 |
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+ | 1.0637 | 4.02 | 1580 | 0.7995 | 0.7774 |
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+ | 0.7795 | 5.02 | 1896 | 0.4938 | 0.8829 |
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+ | 0.4484 | 6.02 | 2212 | 0.3833 | 0.8829 |
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+ | 0.2162 | 7.02 | 2528 | 0.2512 | 0.9155 |
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+ | 0.228 | 8.02 | 2844 | 0.1972 | 0.9309 |
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+ | 0.1711 | 9.02 | 3160 | 0.1426 | 0.9482 |
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+ | 0.2251 | 10.02 | 3476 | 0.0965 | 0.9559 |
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+ | 0.1697 | 11.02 | 3792 | 0.1141 | 0.9539 |
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+ | 0.1229 | 12.02 | 4108 | 0.1362 | 0.9539 |
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+ | 0.0676 | 13.02 | 4424 | 0.0745 | 0.9655 |
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+ | 0.1228 | 14.02 | 4740 | 0.0817 | 0.9635 |
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+ | 0.0143 | 15.02 | 5056 | 0.0615 | 0.9693 |
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+ | 0.0621 | 16.02 | 5372 | 0.0768 | 0.9597 |
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+ | 0.0597 | 17.02 | 5688 | 0.0873 | 0.9635 |
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+ | 0.0696 | 18.02 | 6004 | 0.1108 | 0.9539 |
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+ | 0.2761 | 19.02 | 6320 | 0.1413 | 0.9520 |
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+ | 0.129 | 20.02 | 6636 | 0.1471 | 0.9520 |
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+ | 0.0828 | 21.02 | 6952 | 0.0608 | 0.9674 |
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+ | 0.0544 | 22.02 | 7268 | 0.0533 | 0.9712 |
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+ | 0.0509 | 23.02 | 7584 | 0.0499 | 0.9750 |
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+ | 0.0308 | 24.02 | 7900 | 0.0956 | 0.9597 |
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+ | 0.0729 | 25.02 | 8216 | 0.0753 | 0.9731 |
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+ | 0.2328 | 26.02 | 8532 | 0.0774 | 0.9655 |
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+ | 0.1085 | 27.02 | 8848 | 0.0609 | 0.9693 |
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+ | 0.099 | 28.02 | 9164 | 0.0677 | 0.9674 |
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+ | 0.1988 | 29.02 | 9480 | 0.1415 | 0.9559 |
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+ | 0.0747 | 30.02 | 9796 | 0.0581 | 0.9712 |
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+ | 0.0556 | 31.02 | 10112 | 0.0519 | 0.9693 |
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+ | 0.0763 | 32.02 | 10428 | 0.0506 | 0.9731 |
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+ | 0.0635 | 33.02 | 10744 | 0.0492 | 0.9750 |
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+ | 0.0729 | 34.02 | 11060 | 0.0483 | 0.9693 |
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+ | 0.0692 | 35.02 | 11376 | 0.0481 | 0.9750 |
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+ | 0.1023 | 36.02 | 11692 | 0.0478 | 0.9712 |
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+ | 0.0863 | 37.02 | 12008 | 0.0479 | 0.9750 |
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+ | 0.0934 | 38.02 | 12324 | 0.0464 | 0.9712 |
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+ | 0.0927 | 39.02 | 12640 | 0.0462 | 0.9712 |
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+ | 0.0254 | 40.02 | 12956 | 0.0448 | 0.9731 |
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+ | 0.043 | 41.02 | 13272 | 0.0450 | 0.9750 |
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+ | 0.0695 | 42.02 | 13588 | 0.0448 | 0.9750 |
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+ | 0.0398 | 43.02 | 13904 | 0.0440 | 0.9770 |
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+ | 0.0455 | 44.02 | 14220 | 0.0436 | 0.9770 |
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+ | 0.0423 | 45.02 | 14536 | 0.0437 | 0.9750 |
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+ | 0.0602 | 46.02 | 14852 | 0.0438 | 0.9770 |
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+ | 0.0407 | 47.02 | 15168 | 0.0437 | 0.9750 |
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+ | 0.0435 | 48.02 | 15484 | 0.0435 | 0.9770 |
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+ | 0.0463 | 49.02 | 15800 | 0.0436 | 0.9770 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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