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--- |
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library_name: transformers |
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base_model: openai/clip-vit-large-patch14-336 |
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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-patch14-336-finetuned-openai-clip-vit-large-patch14-336-emnist-letter |
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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-patch14-336-finetuned-openai-clip-vit-large-patch14-336-emnist-letter |
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This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1417 |
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- Accuracy: 0.9489 |
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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: 4 |
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- total_train_batch_size: 128 |
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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: 10 |
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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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| 0.8898 | 0.9994 | 877 | 0.3490 | 0.8834 | |
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| 0.8457 | 2.0 | 1755 | 0.2191 | 0.9224 | |
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| 0.7238 | 2.9994 | 2632 | 0.2113 | 0.9263 | |
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| 0.6685 | 4.0 | 3510 | 0.1838 | 0.9348 | |
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| 0.6236 | 4.9994 | 4387 | 0.2217 | 0.9205 | |
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| 0.6011 | 6.0 | 5265 | 0.1732 | 0.9386 | |
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| 0.6129 | 6.9994 | 6142 | 0.1582 | 0.9419 | |
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| 0.5606 | 8.0 | 7020 | 0.1478 | 0.9465 | |
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| 0.5136 | 8.9994 | 7897 | 0.1488 | 0.9458 | |
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| 0.4659 | 9.9943 | 8770 | 0.1417 | 0.9489 | |
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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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