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videomae-base-finetuned-soccer-action-recognitionx
anirudhmu/videomae-base-finetuned-soccer-action-recognitionx
videomae-base-finetuned-soccer-action-recognitionx is a video classification model from anirudhmu. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023
- SHA
- 7a72c7b3
Base models
Model card
From the Hugging Face model README
<!-- 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-soccer-action-recognitionx
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2575
- Accuracy: 0.9281
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1376
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.03 | 43 | 1.8151 | 0.3661 |
| 1.7589 | 1.03 | 86 | 0.9133 | 0.6915 |
| 1.7589 | 2.03 | 129 | 0.5026 | 0.7966 |
| 0.5494 | 3.03 | 172 | 0.3937 | 0.8678 |
| 0.5494 | 4.03 | 215 | 0.3943 | 0.8678 |
| 0.2747 | 5.03 | 258 | 0.3876 | 0.8678 |
| 0.2747 | 6.03 | 301 | 0.2803 | 0.9085 |
| 0.1731 | 7.03 | 345 | 0.2414 | 0.9119 |
| 0.1731 | 8.03 | 388 | 0.2434 | 0.9288 |
| 0.1165 | 9.03 | 431 | 0.1560 | 0.9458 |
| 0.1165 | 10.03 | 474 | 0.1894 | 0.9254 |
| 0.07 | 11.03 | 517 | 0.2401 | 0.9153 |
| 0.0417 | 12.03 | 560 | 0.1883 | 0.9390 |
| 0.0417 | 13.03 | 603 | 0.2589 | 0.9051 |
| 0.0362 | 14.03 | 646 | 0.2125 | 0.9492 |
| 0.0362 | 15.03 | 690 | 0.2228 | 0.9390 |
| 0.0348 | 16.03 | 733 | 0.1797 | 0.9525 |
| 0.0348 | 17.03 | 776 | 0.1728 | 0.9390 |
| 0.0129 | 18.03 | 819 | 0.2253 | 0.9254 |
| 0.0129 | 19.03 | 862 | 0.1983 | 0.9356 |
| 0.0112 | 20.03 | 905 | 0.2821 | 0.9220 |
| 0.0112 | 21.03 | 948 | 0.2527 | 0.9356 |
| 0.0165 | 22.03 | 991 | 0.2598 | 0.9288 |
| 0.0165 | 23.03 | 1035 | 0.2690 | 0.9288 |
| 0.0056 | 24.03 | 1078 | 0.2817 | 0.9220 |
| 0.0026 | 25.03 | 1121 | 0.2039 | 0.9424 |
| 0.0026 | 26.03 | 1164 | 0.2164 | 0.9458 |
| 0.0033 | 27.03 | 1207 | 0.2063 | 0.9424 |
| 0.0033 | 28.03 | 1250 | 0.1836 | 0.9525 |
| 0.0038 | 29.03 | 1293 | 0.1899 | 0.9458 |
| 0.0038 | 30.03 | 1336 | 0.1815 | 0.9492 |
| 0.0024 | 31.03 | 1376 | 0.1816 | 0.9525 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023