Downloads · 30 days
25
4% of all-time downloads
videomae-base-finetuned-ucf101-subset
hamza7sb/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a video classification model from hamza7sb. 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. --
All-time downloads
661
Public
Parameters
86.2M
75.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors345 MB · 99%
At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Jan 6, 2024
- Updated
- Jan 13, 2024
- SHA
- 022c7422
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-ucf101-subset
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: 1.1481
- Accuracy: 0.7289
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 41810
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1462 | 0.1 | 4179 | 1.3338 | 0.5927 |
| 0.7751 | 1.1 | 8358 | 1.2363 | 0.6652 |
| 0.5263 | 2.1 | 12537 | 1.1332 | 0.6941 |
| 1.0056 | 3.1 | 16716 | 1.1360 | 0.7124 |
| 0.5869 | 4.1 | 20895 | 1.0600 | 0.7142 |
| 0.3019 | 5.1 | 25074 | 1.1134 | 0.7068 |
| 0.2404 | 6.1 | 29253 | 1.1350 | 0.7281 |
| 0.2972 | 7.1 | 33432 | 1.2145 | 0.7233 |
| 0.1652 | 8.1 | 37611 | 1.1481 | 0.7289 |
| 0.149 | 9.1 | 41790 | 1.2245 | 0.7276 |
| 0.0054 | 10.0 | 41810 | 1.2245 | 0.7274 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.0+cu102
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 6, 2024
- Updated
- Jan 13, 2024