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videomae-base-finetuned-fencing
housecat442/videomae-base-finetuned-fencing
videomae-base-finetuned-fencing is a machine learning model from housecat442. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 22, 2024
- SHA
- 8110863e
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-fencing
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: 0.8879
- Accuracy: 0.6503
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: 12
- eval_batch_size: 12
- 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: 140
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8643 | 0.2571 | 36 | 0.9075 | 0.6503 |
| 0.7975 | 1.2571 | 72 | 0.8868 | 0.6503 |
| 0.9156 | 2.2571 | 108 | 0.8912 | 0.6503 |
| 0.83 | 3.2286 | 140 | 0.8879 | 0.6503 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Aug 20, 2024
- Updated
- Aug 22, 2024