base_model: openai/clip-vit-large-patch14 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- imagefolder | |
model-index: | |
- name: clip-general | |
results: [] | |
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# clip-general | |
This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on the imagefolder dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.1725 | |
## 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 | |
- gradient_accumulation_steps: 4 | |
- total_train_batch_size: 32 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 10.0 | |
### Training results | |
### Framework versions | |
- Transformers 4.39.0.dev0 | |
- Pytorch 1.13.1 | |
- Datasets 2.16.1 | |
- Tokenizers 0.15.2 | |