Downloads · 30 days
7
2% of all-time downloads
videomae-base-finetuned-kinetics-finetuned-ucf101-subset
marekk/videomae-base-finetuned-kinetics-finetuned-ucf101-subset
videomae-base-finetuned-kinetics-finetuned-ucf101-subset is a video classification model from marekk. 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
398
Public
Repo size
2.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin345 MB · 100%
At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Oct 16, 2023
- Updated
- Oct 16, 2023
- SHA
- 035b9f9e
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-kinetics-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6776
- Accuracy: 0.85
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: 5
- eval_batch_size: 5
- 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: 119
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6226 | 0.15 | 18 | 0.5180 | 0.8 |
| 0.3479 | 1.15 | 36 | 0.8291 | 0.8 |
| 0.4482 | 2.15 | 54 | 0.7873 | 0.85 |
| 0.1432 | 3.15 | 72 | 0.8196 | 0.8 |
| 0.216 | 4.15 | 90 | 0.8239 | 0.85 |
| 0.1211 | 5.15 | 108 | 0.6926 | 0.85 |
| 0.02 | 6.09 | 119 | 0.6776 | 0.85 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Oct 16, 2023
- Updated
- Oct 16, 2023