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videomae-base-finetuned-cricket_shot_detection_12_latest
Asadali12/videomae-base-finetuned-cricket_shot_detection_12_latest
videomae-base-finetuned-cricket_shot_detection_12_latest is a video classification model from Asadali12. 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
- Jan 12, 2025
- Updated
- Jan 12, 2025
- SHA
- 74ca8260
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-cricket_shot_detection_12_latest
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: 1.4676
- Accuracy: 0.6316
- F1: 0.6366
- Recall: 0.6316
- Precision: 0.7675
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 576
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 1.7629 | 0.1267 | 73 | 1.8203 | 0.2105 | 0.1815 | 0.2105 | 0.1974 |
| 1.5269 | 1.1267 | 146 | 1.7099 | 0.2632 | 0.2731 | 0.2632 | 0.5474 |
| 1.2084 | 2.1267 | 219 | 1.5873 | 0.5789 | 0.5797 | 0.5789 | 0.7570 |
| 1.1034 | 3.1267 | 292 | 1.5001 | 0.5789 | 0.5797 | 0.5789 | 0.7570 |
| 0.9862 | 4.1267 | 365 | 1.4676 | 0.6316 | 0.6366 | 0.6316 | 0.7675 |
| 0.891 | 5.1267 | 438 | 1.4256 | 0.6316 | 0.6366 | 0.6316 | 0.7675 |
| 0.6645 | 6.1267 | 511 | 1.4055 | 0.6316 | 0.6476 | 0.6316 | 0.8184 |
| 0.7161 | 7.1128 | 576 | 1.4041 | 0.6316 | 0.6366 | 0.6316 | 0.7675 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 12, 2025
- Updated
- Jan 12, 2025