Downloads · 30 days
10
42% of all-time downloads
picth_vision_checkpoint_2
miladfa7/picth_vision_checkpoint_2
picth_vision_checkpoint_2 is a video classification model from miladfa7. 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
24
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
- Sep 24, 2025
- Updated
- Sep 25, 2025
- SHA
- c32ff55d
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. -->
picth_vision_checkpoint_2
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: 0.0293
- Accuracy: 0.9974
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: Use OptimizerNames.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: 12552
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0314 | 0.25 | 3138 | 0.0665 | 0.9825 |
| 0.0001 | 1.25 | 6276 | 0.0820 | 0.9869 |
| 0.03 | 2.25 | 9414 | 0.0320 | 0.9956 |
| 0.0 | 3.25 | 12552 | 0.0293 | 0.9974 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.3.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Sep 24, 2025
- Updated
- Sep 25, 2025