End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/siglip-large-patch16-256
+tags:
+- generated_from_trainer
+model-index:
+- name: siglip-large-patch16-256-image-sensitivity
+  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. -->
+
+# siglip-large-patch16-256-image-sensitivity
+
+This model is a fine-tuned version of [google/siglip-large-patch16-256](https://huggingface.co/google/siglip-large-patch16-256) on an unknown dataset.
+
+## 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-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 512
+- optimizer: Use OptimizerNames.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: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "google/siglip-large-patch16-256",
+  "_num_labels": 1,
+  "architectures": [
+    "SiglipForImageClassification"
+  ],
+  "id2label": {
+    "0": "target"
+  },
+  "initializer_factor": 1.0,
+  "label2id": {
+    "target": 0
+  },
+  "model_type": "siglip",
+  "problem_type": "regression",
+  "text_config": {
+    "hidden_size": 1024,
+    "intermediate_size": 4096,
+    "model_type": "siglip_text_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "vision_config": {
+    "hidden_size": 1024,
+    "image_size": 256,
+    "intermediate_size": 4096,
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24
+  }
+}

model.safetensors

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runs/Jan26_13-58-51_3926c5072c6a/events.out.tfevents.1737899932.3926c5072c6a.108604.0

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training_args.bin

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