Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224",
+  "_name_or_path": "google/vit-large-patch32-384",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -7,7 +7,7 @@
   "encoder_stride": 16,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
-  "hidden_size": 768,
+  "hidden_size": 1024,
   "id2label": {
     "0": "anger",
     "1": "contempt",
@@ -18,9 +18,9 @@
     "6": "sad",
     "7": "surprise"
   },
-  "image_size": 224,
+  "image_size": 384,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "label2id": {
     "anger": "0",
     "contempt": "1",
@@ -33,10 +33,10 @@
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",
-  "num_attention_heads": 12,
+  "num_attention_heads": 16,
   "num_channels": 3,
-  "num_hidden_layers": 12,
-  "patch_size": 16,
+  "num_hidden_layers": 24,
+  "patch_size": 32,
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",

model.safetensors

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+size 1222510088

preprocessor_config.json

@@ -17,7 +17,7 @@
   "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 224,
-    "width": 224
+    "height": 384,
+    "width": 384
   }
 }

runs/Feb23_13-55-23_1cc0ed2b9d17/events.out.tfevents.1740318933.1cc0ed2b9d17.27544.0

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runs/Feb23_13-55-23_1cc0ed2b9d17/events.out.tfevents.1740319337.1cc0ed2b9d17.27544.1

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runs/Feb23_14-16-36_1cc0ed2b9d17/events.out.tfevents.1740320209.1cc0ed2b9d17.27544.2

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training_args.bin

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