Training in progress, epoch 1

config.json

@@ -1,55 +1,52 @@
 {
-  "_name_or_path": "NTQAI/pedestrian_age_recognition",
+  "_name_or_path": "microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft",
   "architectures": [
-    "BeitForImageClassification"
+    "Swinv2ForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
-  "auxiliary_channels": 256,
-  "auxiliary_concat_input": false,
-  "auxiliary_loss_weight": 0.4,
-  "auxiliary_num_convs": 1,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
   "drop_path_rate": 0.1,
-  "finetuning_task": "image-classification",
+  "embed_dim": 128,
+  "encoder_stride": 32,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "id2label": {
     "0": "LABEL_0"
   },
-  "image_size": 224,
+  "image_size": 256,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
   "label2id": {
     "LABEL_0": 0
   },
-  "layer_norm_eps": 1e-12,
-  "layer_scale_init_value": 0.1,
-  "model_type": "beit",
-  "num_attention_heads": 12,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "out_indices": [
-    3,
-    5,
-    7,
-    11
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
   ],
-  "patch_size": 16,
-  "pool_scales": [
-    1,
-    2,
-    3,
-    6
+  "num_layers": 4,
+  "patch_size": 4,
+  "path_norm": true,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
   ],
   "problem_type": "multi_label_classification",
-  "semantic_loss_ignore_index": 255,
+  "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.26.0.dev0",
-  "use_absolute_position_embeddings": false,
-  "use_auxiliary_head": true,
-  "use_mask_token": false,
-  "use_mean_pooling": true,
-  "use_relative_position_bias": true,
-  "use_shared_relative_position_bias": false,
-  "vocab_size": 8192
+  "transformers_version": "4.26.0",
+  "use_absolute_embeddings": false,
+  "window_size": 16
 }

pytorch_model.bin

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training_args.bin

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