Model save

README.md

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+---
+library_name: transformers
+base_model: openai/clip-vit-base-patch32
+tags:
+- generated_from_trainer
+model-index:
+- name: clip-ROCOv2-radiology-5ep
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# clip-ROCOv2-radiology-5ep
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.4365
+
+## 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-06
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5698        | 0.6588 | 500  | 1.4979          |
+| 1.0335        | 1.3175 | 1000 | 1.2915          |
+| 0.9555        | 1.9763 | 1500 | 1.1798          |
+| 0.644         | 2.6350 | 2000 | 1.2104          |
+| 0.3687        | 3.2938 | 2500 | 1.3033          |
+| 0.3659        | 3.9526 | 3000 | 1.3342          |
+| 0.2289        | 4.6113 | 3500 | 1.4365          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 4.4.1
+- Tokenizers 0.19.1

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