commit files to HF hub

README.md

@@ -18,16 +18,16 @@ model-index:
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.9932190775871277
+        value: 0.9934656620025635
       - name: Precision
         type: Precision
-        value: 0.2213994264602661
+        value: 0.9939382672309875
       - name: Recall
         type: Recall
-        value: 0.22142769396305084
+        value: 0.9934656620025635
       - name: F1Score
         type: F1Score
-        value: 0.22135905921459198
+        value: 0.9933341145515442
 ---
 
 # ArSL VIT 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "google/vit-large-patch16-224-in21k",
   "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": "ain",
     "1": "al",
@@ -44,7 +44,7 @@
   },
   "image_size": 224,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "label2id": {
     "ain": "0",
     "al": "1",
@@ -81,9 +81,9 @@
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",
-  "num_attention_heads": 12,
+  "num_attention_heads": 16,
   "num_channels": 3,
-  "num_hidden_layers": 12,
+  "num_hidden_layers": 24,
   "patch_size": 16,
   "problem_type": "single_label_classification",
   "qkv_bias": true,

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 343358253
+oid sha256:dfdb9d65e52a3f324982d89bc5580928f4a27ec5c85aabfc35239ef80afbd466
+size 1213466157

runs/events.out.tfevents.1687074489.d4551e1eb1e6.3855.0

@@ -0,0 +1,3 @@
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+size 36747