Model save

README.md

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+---
+library_name: transformers
+base_model: openai/clip-vit-base-patch16
+tags:
+- generated_from_trainer
+model-index:
+- name: CLIP
+  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
+
+This model is a fine-tuned version of [openai/clip-vit-base-patch16](https://huggingface.co/openai/clip-vit-base-patch16) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1492
+- eval_runtime: 526.0225
+- eval_samples_per_second: 10.614
+- eval_steps_per_second: 0.663
+- epoch: 1.0
+- step: 1396
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.6.0+cu126
+- Datasets 2.19.0
+- Tokenizers 0.20.1

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