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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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+
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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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+
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+ # clip-vit-large-patch14-336-finetuned-openai-clip-vit-large-patch14-336-emnist-letter
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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