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--- |
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library_name: transformers |
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base_model: openai/clip-vit-large-patch14 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: clip-vit-large-patch14-finetuned-clip-vit-large-patch14-mnist_linear_probe |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# clip-vit-large-patch14-finetuned-clip-vit-large-patch14-mnist_linear_probe |
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This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1829 |
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- Accuracy: 0.2367 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 30 |
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- total_train_batch_size: 960 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 2.2886 | 0.9953 | 56 | 2.2661 | 0.157 | |
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| 2.2153 | 1.9905 | 112 | 2.2004 | 0.1945 | |
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| 2.1981 | 2.9858 | 168 | 2.1829 | 0.2367 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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