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timesformer_BDSLW60_U5_20_coR
Shawon16/timesformer_BDSLW60_U5_20_coR
timesformer_BDSLW60_U5_20_coR is a video classification model from Shawon16. 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
- timesformer
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 5, 2025
- SHA
- c6ab687c
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. -->
timesformer_BDSLW60_U5_20_coR
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6110
- Accuracy: 0.8467
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use 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: 18560
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 9.4278 | 0.0501 | 929 | 1.0628 | 0.8017 |
| 0.6565 | 1.0501 | 1858 | 0.6811 | 0.805 |
| 0.2021 | 2.0501 | 2787 | 0.6156 | 0.8283 |
| 0.1114 | 3.0501 | 3716 | 0.8042 | 0.7967 |
| 0.0929 | 4.0501 | 4645 | 0.5986 | 0.8483 |
| 0.1275 | 5.0501 | 5574 | 0.6936 | 0.825 |
| 0.1266 | 6.0501 | 6503 | 0.7333 | 0.8317 |
| 0.0576 | 7.0501 | 7432 | 0.4968 | 0.89 |
| 0.1359 | 8.0501 | 8361 | 0.4308 | 0.9083 |
| 0.0414 | 9.0501 | 9290 | 0.9018 | 0.8433 |
| 0.0459 | 10.0501 | 10219 | 0.6695 | 0.865 |
| 0.0481 | 11.0501 | 11148 | 0.6669 | 0.85 |
| 0.0575 | 12.0501 | 12077 | 0.5576 | 0.8767 |
| 0.0192 | 13.0501 | 13006 | 0.6110 | 0.8467 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Video Classification
- Library
- transformers
- Type
- timesformer
- License
- cc-by-nc-4.0
- Created
- Dec 4, 2025
- Updated
- Dec 5, 2025