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latif98
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videomae-base-finetuned-isl-numbers_2

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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  1. README.md +107 -2
  2. model.safetensors +1 -1
  3. runs/Apr21_21-08-25_blackhorse/events.out.tfevents.1713779945.blackhorse.30205.1 +3 -0
README.md CHANGED
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  ---
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  license: cc-by-nc-4.0
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- license_name: cc-by-nc-4.0
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- license_link: LICENSE
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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+ base_model: latif98/videomae-base-finetuned-isl-numbers
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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_2
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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_2
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+
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+ This model is a fine-tuned version of [latif98/videomae-base-finetuned-isl-numbers](https://huggingface.co/latif98/videomae-base-finetuned-isl-numbers) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2759
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+ - Accuracy: 0.6839
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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: 3800
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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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+ | 3.5502 | 0.02 | 76 | 3.4251 | 0.0945 |
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+ | 3.1152 | 1.02 | 152 | 3.0364 | 0.2756 |
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+ | 2.6365 | 2.02 | 228 | 2.6197 | 0.3780 |
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+ | 2.3879 | 3.02 | 304 | 2.1519 | 0.4646 |
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+ | 1.9396 | 4.02 | 380 | 2.0804 | 0.4173 |
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+ | 1.9285 | 5.02 | 456 | 1.9335 | 0.4488 |
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+ | 1.5843 | 6.02 | 532 | 1.7907 | 0.4803 |
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+ | 1.2387 | 7.02 | 608 | 1.8962 | 0.3858 |
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+ | 1.2578 | 8.02 | 684 | 1.7191 | 0.4488 |
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+ | 0.9611 | 9.02 | 760 | 1.7362 | 0.4882 |
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+ | 0.9247 | 10.02 | 836 | 1.3898 | 0.5906 |
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+ | 0.8107 | 11.02 | 912 | 1.9588 | 0.4094 |
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+ | 0.7618 | 12.02 | 988 | 1.1416 | 0.6614 |
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+ | 0.7083 | 13.02 | 1064 | 1.2812 | 0.6614 |
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+ | 0.7098 | 14.02 | 1140 | 1.4601 | 0.5197 |
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+ | 0.4601 | 15.02 | 1216 | 1.1276 | 0.6693 |
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+ | 0.5684 | 16.02 | 1292 | 1.4792 | 0.5591 |
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+ | 0.5044 | 17.02 | 1368 | 1.1236 | 0.6614 |
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+ | 0.4551 | 18.02 | 1444 | 1.3894 | 0.6063 |
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+ | 0.3488 | 19.02 | 1520 | 1.2918 | 0.6614 |
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+ | 0.4711 | 20.02 | 1596 | 1.2510 | 0.6299 |
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+ | 0.3451 | 21.02 | 1672 | 1.1265 | 0.6693 |
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+ | 0.394 | 22.02 | 1748 | 1.1676 | 0.6378 |
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+ | 0.234 | 23.02 | 1824 | 1.0714 | 0.7087 |
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+ | 0.2318 | 24.02 | 1900 | 1.2647 | 0.6378 |
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+ | 0.4294 | 25.02 | 1976 | 1.0250 | 0.7480 |
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+ | 0.2084 | 26.02 | 2052 | 1.1361 | 0.6850 |
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+ | 0.1724 | 27.02 | 2128 | 0.8791 | 0.7402 |
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+ | 0.1715 | 28.02 | 2204 | 0.7549 | 0.7559 |
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+ | 0.2719 | 29.02 | 2280 | 0.7708 | 0.7717 |
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+ | 0.2021 | 30.02 | 2356 | 1.1394 | 0.7165 |
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+ | 0.0999 | 31.02 | 2432 | 0.7838 | 0.7717 |
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+ | 0.1473 | 32.02 | 2508 | 1.3809 | 0.6457 |
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+ | 0.0939 | 33.02 | 2584 | 0.7839 | 0.7874 |
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+ | 0.0952 | 34.02 | 2660 | 1.0636 | 0.7008 |
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+ | 0.2684 | 35.02 | 2736 | 0.9194 | 0.7323 |
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+ | 0.1628 | 36.02 | 2812 | 0.7346 | 0.8031 |
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+ | 0.0584 | 37.02 | 2888 | 1.0112 | 0.7323 |
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+ | 0.0567 | 38.02 | 2964 | 1.0584 | 0.7323 |
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+ | 0.1358 | 39.02 | 3040 | 1.0566 | 0.7323 |
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+ | 0.0796 | 40.02 | 3116 | 0.9323 | 0.7480 |
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+ | 0.0828 | 41.02 | 3192 | 0.7611 | 0.7953 |
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+ | 0.0661 | 42.02 | 3268 | 0.7284 | 0.7874 |
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+ | 0.0882 | 43.02 | 3344 | 0.6982 | 0.7953 |
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+ | 0.0398 | 44.02 | 3420 | 0.8586 | 0.7717 |
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+ | 0.2085 | 45.02 | 3496 | 0.7990 | 0.7717 |
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+ | 0.0509 | 46.02 | 3572 | 0.7134 | 0.8268 |
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+ | 0.0791 | 47.02 | 3648 | 0.6887 | 0.8189 |
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+ | 0.0469 | 48.02 | 3724 | 0.7159 | 0.8031 |
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+ | 0.0621 | 49.02 | 3800 | 0.7062 | 0.8031 |
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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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