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videomae-base-finetuned-ESBD
OckerGui/videomae-base-finetuned-ESBD
videomae-base-finetuned-ESBD is a video classification model from OckerGui. 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
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 9f2f1b7c
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-ESBD
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: 1.6116
- Accuracy: 0.3095
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: 12
- eval_batch_size: 12
- 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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4599 | 0.09 | 27 | 1.3408 | 0.3333 |
| 1.217 | 1.09 | 54 | 1.3656 | 0.3571 |
| 1.2652 | 2.09 | 81 | 1.2593 | 0.3095 |
| 0.797 | 3.09 | 108 | 0.9102 | 0.5952 |
| 1.2926 | 4.09 | 135 | 0.9243 | 0.6429 |
| 0.4508 | 5.09 | 162 | 0.9276 | 0.6905 |
| 0.3649 | 6.09 | 189 | 0.6216 | 0.7857 |
| 0.1679 | 7.09 | 216 | 1.1307 | 0.6667 |
| 0.1277 | 8.09 | 243 | 0.9728 | 0.6667 |
| 0.0665 | 9.09 | 270 | 0.8415 | 0.7619 |
| 0.0148 | 10.09 | 297 | 0.7911 | 0.7857 |
| 0.0136 | 11.01 | 300 | 0.7950 | 0.7857 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023