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videomae-base-finetuned-fighting-subset-5ep-1ep3bs
Myaukko/videomae-base-finetuned-fighting-subset-5ep-1ep3bs
videomae-base-finetuned-fighting-subset-5ep-1ep3bs is a video classification model from Myaukko. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- Model type
- videomae
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024
- SHA
- 1ea40d70
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-fighting-subset-5ep-1ep3bs
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5212
- Accuracy: 0.8815
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: 3
- eval_batch_size: 3
- 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: 205
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4571 | 0.2 | 42 | 1.0070 | 0.8667 |
| 0.5671 | 1.2 | 84 | 1.4664 | 0.7259 |
| 0.2476 | 2.2 | 126 | 0.5053 | 0.7926 |
| 0.0011 | 3.2 | 168 | 0.8063 | 0.8222 |
| 0.0008 | 4.18 | 205 | 0.5212 | 0.8815 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024