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timesformer_wlasl_100_20ep_coR
Shawon16/timesformer_wlasl_100_20ep_coR
timesformer_wlasl_100_20ep_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 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 45de3858
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_wlasl_100_20ep_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: 1.4422
- Accuracy: 0.6657
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: 3600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 18.516 | 0.05 | 180 | 4.3268 | 0.0680 |
| 14.6282 | 1.0499 | 360 | 3.2382 | 0.3077 |
| 9.1983 | 2.0499 | 540 | 2.5109 | 0.4379 |
| 5.217 | 3.0501 | 721 | 2.0461 | 0.5148 |
| 2.6858 | 4.05 | 901 | 1.7717 | 0.5769 |
| 1.2884 | 5.0499 | 1081 | 1.6758 | 0.6006 |
| 0.6468 | 6.0499 | 1261 | 1.5235 | 0.6213 |
| 0.3398 | 7.0501 | 1442 | 1.4498 | 0.6272 |
| 0.1804 | 8.05 | 1622 | 1.4702 | 0.6272 |
| 0.1119 | 9.0499 | 1802 | 1.4163 | 0.6302 |
| 0.079 | 10.0499 | 1982 | 1.4269 | 0.6538 |
| 0.0686 | 11.0501 | 2163 | 1.4097 | 0.6568 |
| 0.0626 | 12.05 | 2343 | 1.3878 | 0.6657 |
| 0.0485 | 13.0499 | 2523 | 1.4528 | 0.6686 |
| 0.0613 | 14.0499 | 2703 | 1.4348 | 0.6627 |
| 0.053 | 15.0501 | 2884 | 1.4080 | 0.6716 |
| 0.0435 | 16.05 | 3064 | 1.4331 | 0.6627 |
| 0.029 | 17.0499 | 3244 | 1.4446 | 0.6568 |
| 0.0292 | 18.0499 | 3424 | 1.4439 | 0.6686 |
| 0.0199 | 19.0487 | 3600 | 1.4422 | 0.6657 |
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 2, 2025
- Updated
- Dec 2, 2025