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hansen_model_10
hansenling/hansen_model_10
hansen_model_10 is a machine learning model from hansenling. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- cc-by-nc-4.0
- Model type
- videomae
- Access
- Public
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024
- SHA
- 26539caa
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. -->
hansen_model_10
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: 1.3132
- Accuracy: 0.5
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: 1
- eval_batch_size: 1
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0873 | 0.6 | 18 | 1.0984 | 0.5 |
| 0.8074 | 1.4 | 30 | 1.3132 | 0.5 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cpu
- Datasets 3.0.0
- Tokenizers 0.19.1
- Type
- videomae
- License
- cc-by-nc-4.0
- Created
- Oct 1, 2024
- Updated
- Oct 1, 2024