Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+ "_name_or_path": "sail/poolformer_s12",
+ "architectures": [
+ "PoolFormerForImageClassification"
+ ],
+ "depths": [
+ 2,
+ 2,
+ 6,
+ 2
+ ],
+ "drop_path_rate": 0.0,
+ "hidden_act": "gelu",
+ "hidden_sizes": [
+ 64,
+ 128,
+ 320,
+ 512
+ ],
+ "id2label": {
+ "0": "a_noDR",
+ "1": "b_mildDR",
+ "2": "c_moderateDR",
+ "3": "d_severeDR",
+ "4": "e_proDR"
+ },
+ "initializer_range": 0.02,
+ "label2id": {
+ "a_noDR": 0,
+ "b_mildDR": 1,
+ "c_moderateDR": 2,
+ "d_severeDR": 3,
+ "e_proDR": 4
+ },
+ "layer_scale_init_value": 1e-05,
+ "mlp_ratio": 4.0,
+ "model_type": "poolformer",
+ "num_channels": 3,
+ "num_encoder_blocks": 4,
+ "num_hidden_layers": 12,
+ "padding": [
+ 2,
+ 1,
+ 1,
+ 1
+ ],
+ "patch_size": 16,
+ "patch_sizes": [
+ 7,
+ 3,
+ 3,
+ 3
+ ],
+ "pool_size": 3,
+ "problem_type": "single_label_classification",
+ "stride": 16,
+ "strides": [
+ 4,
+ 2,
+ 2,
+ 2
+ ],
+ "torch_dtype": "float32",
+ "transformers_version": "4.30.0",
+ "use_cache": true,
+ "use_layer_scale": true
+}

preprocessor_config.json

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+{
+ "crop_pct": 0.9,
+ "crop_size": {
+ "height": 224,
+ "width": 224
+ },
+ "do_center_crop": true,
+ "do_normalize": true,
+ "do_rescale": true,
+ "do_resize": true,
+ "do_resize_and_center_crop": true,
+ "image_mean": [
+ 0.485,
+ 0.456,
+ 0.406
+ ],
+ "image_processor_type": "PoolFormerImageProcessor",
+ "image_std": [
+ 0.229,
+ 0.224,
+ 0.225
+ ],
+ "resample": 3,
+ "rescale_factor": 0.00392156862745098,
+ "size": {
+ "shortest_edge": 224
+ }
+}

pytorch_model.bin

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runs/Apr01_20-44-11_a3821f0afe27/events.out.tfevents.1712004258.a3821f0afe27.593.0

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training_args.bin

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