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hug-clip-bid
thannarot/hug-clip-bid
hug-clip-bid is a zero-shot image classification model from thannarot. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Model type
- clip
- Access
- Public
- Created
- Jul 13, 2022
- Updated
- Jul 14, 2022
- SHA
- 6f6b2967
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. -->
hug-clip-bid
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8276
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: 3e-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_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0263 | 0.15 | 100 | 1.3193 |
| 0.9187 | 0.29 | 200 | 1.0286 |
| 0.7005 | 0.44 | 300 | 0.9560 |
| 0.5851 | 0.58 | 400 | 0.9433 |
| 0.6122 | 0.73 | 500 | 0.8936 |
| 0.5916 | 0.88 | 600 | 0.8276 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.11.6
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Jul 13, 2022
- Updated
- Jul 14, 2022