Downloads · 30 days
1
6% of all-time downloads
videomae-base-finetuned-ucf101-subset
shaunliewsmu/videomae-base-finetuned-ucf101-subset
videomae-base-finetuned-ucf101-subset is a video classification model from shaunliewsmu. 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
18
Public
Parameters
86.2M
2.4 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 31, 2025
- Updated
- Jan 31, 2025
- SHA
- 80aa5d12
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: 0.4448
- Accuracy: 0.8452
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3498 | 0.1284 | 19 | 2.0894 | 0.2143 |
| 1.9304 | 1.1284 | 38 | 1.5131 | 0.4857 |
| 1.099 | 2.1284 | 57 | 0.8322 | 0.6857 |
| 0.4725 | 3.1284 | 76 | 0.5528 | 0.7714 |
| 0.3629 | 4.1284 | 95 | 0.3822 | 0.8571 |
| 0.196 | 5.1284 | 114 | 0.3011 | 0.9143 |
| 0.1357 | 6.1284 | 133 | 0.2539 | 0.9143 |
| 0.0847 | 7.1014 | 148 | 0.1923 | 0.9429 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jan 31, 2025
- Updated
- Jan 31, 2025