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videomae-base-finetuned-ucf101-subset-finetuned-elder-UFC-prtuned
minhah/videomae-base-finetuned-ucf101-subset-finetuned-elder-UFC-prtuned
videomae-base-finetuned-ucf101-subset-finetuned-elder-UFC-prtuned is a video classification model from minhah. 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. --
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At a glance
- Task
- Video Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024
- SHA
- 250ae6da
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-finetuned-elder-UFC-prtuned
This model is a fine-tuned version of minhah/videomae-base-finetuned-ucf101-subset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6593
- Accuracy: 0.3481
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 576
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.729 | 0.13 | 73 | 1.6346 | 0.3408 |
| 1.683 | 1.13 | 146 | 1.6505 | 0.3029 |
| 1.6889 | 2.13 | 219 | 1.6359 | 0.3408 |
| 1.6853 | 3.13 | 292 | 1.6739 | 0.2398 |
| 1.5793 | 4.13 | 365 | 1.6679 | 0.2588 |
| 1.5783 | 5.13 | 438 | 1.6091 | 0.3324 |
| 1.5745 | 6.13 | 511 | 1.6306 | 0.3072 |
| 1.5704 | 7.11 | 576 | 1.6573 | 0.2707 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024