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model_timesformer_batch16_gas4
siroleo0/model_timesformer_batch16_gas4
model_timesformer_batch16_gas4 is a video classification model from siroleo0. 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
- Mar 4, 2024
- Updated
- Mar 5, 2024
- SHA
- 984622e3
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. -->
model_timesformer_batch16_gas4
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k600 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6371
- Accuracy: 0.5365
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: 8
- eval_batch_size: 8
- 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: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.649 | 0.33 | 1000 | 1.7987 | 0.49 |
| 1.541 | 1.33 | 2000 | 1.6730 | 0.5215 |
| 1.1614 | 2.33 | 3000 | 1.6371 | 0.5365 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Video Classification
- Library
- transformers
- Type
- timesformer
- License
- cc-by-nc-4.0
- Created
- Mar 4, 2024
- Updated
- Mar 5, 2024