Training in progress, step 500

config.json

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+{
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
+ "architectures": [
+ "ViTForImageClassification"
+ ],
+ "attention_probs_dropout_prob": 0.0,
+ "encoder_stride": 16,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.0,
+ "hidden_size": 768,
+ "id2label": {
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+ "1": "zoom_blur",
+ "2": "snow",
+ "3": "brightness",
+ "4": "fog"
+ },
+ "image_size": 224,
+ "initializer_range": 0.02,
+ "intermediate_size": 3072,
+ "label2id": {
+ "brightness": 3,
+ "elastic_transform": 0,
+ "fog": 4,
+ "snow": 2,
+ "zoom_blur": 1
+ },
+ "layer_norm_eps": 1e-12,
+ "model_type": "vit",
+ "num_attention_heads": 12,
+ "num_channels": 3,
+ "num_hidden_layers": 12,
+ "patch_size": 16,
+ "problem_type": "multi_label_classification",
+ "qkv_bias": true,
+ "torch_dtype": "float32",
+ "transformers_version": "4.35.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+ "do_normalize": true,
+ "do_rescale": true,
+ "do_resize": true,
+ "image_mean": [
+ 0.5,
+ 0.5,
+ 0.5
+ ],
+ "image_processor_type": "ViTImageProcessor",
+ "image_std": [
+ 0.5,
+ 0.5,
+ 0.5
+ ],
+ "resample": 2,
+ "rescale_factor": 0.00392156862745098,
+ "size": {
+ "height": 224,
+ "width": 224
+ }
+}

runs/Dec01_14-42-13_optml5/events.out.tfevents.1701459737.optml5.1712611.0

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training_args.bin

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