Downloads · 30 days
4
16% of all-time downloads
videomae-base-finetuned-good-gesturePhaseV1
alexgrigore/videomae-base-finetuned-good-gesturePhaseV1
videomae-base-finetuned-good-gesturePhaseV1 is a video classification model from alexgrigore. 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
25
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
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 9871ca0f
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-good-gesturePhaseV1
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:
- Accuracy: 0.5918
- Loss: 1.1628
- Accuracy Hold: 0.0
- Accuracy Stroke: 0.0
- Accuracy Recovery: 0.0
- Accuracy Preparation: 0.9221
- Accuracy Unknown: 0.4571
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: 8
- eval_batch_size: 8
- 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: 276
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Hold | Accuracy Stroke | Accuracy Recovery | Accuracy Preparation | Accuracy Unknown |
|---|---|---|---|---|---|---|---|---|---|
| 1.2297 | 0.2536 | 70 | 0.5597 | 1.2679 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 0.9724 | 1.2536 | 140 | 0.5597 | 1.2204 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 0.9151 | 2.2536 | 210 | 0.6119 | 1.0776 | 0.0 | 0.0 | 0.0 | 0.9333 | 0.4615 |
| 0.9169 | 3.2391 | 276 | 0.6269 | 1.0385 | 0.0 | 0.0 | 0.0 | 0.9067 | 0.6154 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024