Downloads · 30 days
19
7% of all-time downloads
videomae-base-finetuned-ucf101-subset
damao0000/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a video classification model from damao0000. 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
267
Public
Parameters
86.2M
3.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors345 MB · 100%
At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024
- SHA
- 67c51b06
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: 0.2160
- Accuracy: 0.9286
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 600
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0034 | 0.12 | 75 | 1.7205 | 0.4429 |
| 1.0781 | 1.12 | 150 | 0.8103 | 0.6429 |
| 0.5468 | 2.12 | 225 | 0.5467 | 0.6571 |
| 0.2383 | 3.12 | 300 | 0.6070 | 0.8286 |
| 0.1513 | 4.12 | 375 | 0.2822 | 0.9286 |
| 0.0211 | 5.12 | 450 | 0.3155 | 0.9143 |
| 0.012 | 6.12 | 525 | 0.1954 | 0.9286 |
| 0.0048 | 7.12 | 600 | 0.2160 | 0.9286 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024