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Training in progress, step 500

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: openai/clip-vit-base-patch32
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: clip-ROCOv2-radiology-5ep
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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-ROCOv2-radiology-5ep
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+
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+ This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4365
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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-06
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.5698 | 0.6588 | 500 | 1.4979 |
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+ | 1.0335 | 1.3175 | 1000 | 1.2915 |
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+ | 0.9555 | 1.9763 | 1500 | 1.1798 |
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+ | 0.644 | 2.6350 | 2000 | 1.2104 |
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+ | 0.3687 | 3.2938 | 2500 | 1.3033 |
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+ | 0.3659 | 3.9526 | 3000 | 1.3342 |
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+ | 0.2289 | 4.6113 | 3500 | 1.4365 |
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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 2.5.1+cu124
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+ - Datasets 4.4.1
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+ - Tokenizers 0.19.1
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+ "model_type": "clip",
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+ "projection_dim": 768,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.2",
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+ "dropout": 0.0,
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+ "hidden_size": 1024,
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "patch_size": 14,
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+ "projection_dim": 768
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+ }
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+ }
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