Downloads · 30 days
10
4% of all-time downloads
videomae-base-finetuned-numbers
latif98/videomae-base-finetuned-numbers
videomae-base-finetuned-numbers is a video classification model from latif98. 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
254
Public
Parameters
86.2M
1.4 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
- Apr 27, 2024
- Updated
- Apr 27, 2024
- SHA
- c12e8ea6
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-numbers
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: 0.3433
- Accuracy: 0.8222
- F1: 0.8015
- Precision: 0.8762
- Recall: 0.8182
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: 176
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7592 | 0.25 | 44 | 0.6378 | 0.8462 | 0.8479 | 0.8758 | 0.8561 |
| 0.296 | 1.25 | 88 | 0.3027 | 0.8974 | 0.8805 | 0.9091 | 0.8864 |
| 0.2144 | 2.25 | 132 | 0.1289 | 0.9487 | 0.9377 | 0.9545 | 0.9394 |
| 0.1331 | 3.25 | 176 | 0.0958 | 0.9744 | 0.9688 | 0.9773 | 0.9697 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024