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ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
ALL_RGBCROP_ori16F-8B16F-GACWDlrDO is a video classification model from TanAlexanderlz. 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
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 50c69639
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. -->
ALL_RGBCROP_ori16F-8B16F-GACWDlrDO
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: 0.3840
- Accuracy: 0.8263
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: 1e-05
-
train_batch_size: 8
-
eval_batch_size: 8
-
seed: 42
-
gradient_accumulation_steps: 2
-
total_train_batch_size: 16
-
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: 960
-
weight_decay = 0,1
-
hidden_dropout_prob = 0.1,
-
attention_probs_dropout_prob = 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.688 | 0.05 | 48 | 0.6965 | 0.5183 |
| 0.5641 | 1.05 | 96 | 0.5967 | 0.7256 |
| 0.3513 | 2.05 | 144 | 0.4916 | 0.7622 |
| 0.2801 | 3.05 | 192 | 0.4586 | 0.7866 |
| 0.1534 | 4.05 | 240 | 0.4574 | 0.7866 |
| 0.1252 | 5.05 | 288 | 0.4923 | 0.7805 |
| 0.0996 | 6.05 | 336 | 0.5375 | 0.7683 |
| 0.1132 | 7.05 | 384 | 0.5805 | 0.7866 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Video Classification
- Library
- transformers
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- May 28, 2025
- Updated
- May 28, 2025