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models-moved
vincentclaes/models-moved
models-moved is a zero-shot image classification model from vincentclaes. 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
- Dec 22, 2023
- Updated
- Dec 22, 2023
- SHA
- 1fee34c5
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. -->
models
This model is a fine-tuned version of openai/clip-vit-base-patch32 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3072
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: 25
- eval_batch_size: 25
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 4.1573 |
| No log | 2.0 | 6 | 3.8393 |
| No log | 3.0 | 9 | 3.5172 |
| No log | 4.0 | 12 | 3.3072 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Dec 22, 2023
- Updated
- Dec 22, 2023