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videomae-base-Vsl-Lab-PC-V6-homecook
Ham1mad1/videomae-base-Vsl-Lab-PC-V6-homecook
videomae-base-Vsl-Lab-PC-V6-homecook is a video classification model from Ham1mad1. 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
- Apr 21, 2024
- Updated
- Apr 21, 2024
- SHA
- 571d42a8
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-Vsl-Lab-PC-V6-homecook
This model is a fine-tuned version of Ham1mad1/videomae-base-Vsl-Lab-PC-V6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2225
- Accuracy: 0.6429
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: 1
- eval_batch_size: 1
- 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: 38
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0001 | 0.5 | 19 | 2.2177 | 0.6429 |
| 0.0001 | 1.5 | 38 | 2.2225 | 0.6429 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024