Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4262
-- Accuracy: 0.9335
+- Loss: 0.3590
+- Accuracy: 0.9450
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1167        | 1.0   | 51   | 1.0463          | 0.8473   |
-| 0.5904        | 2.0   | 102  | 0.6225          | 0.8941   |
-| 0.4023        | 3.0   | 153  | 0.5122          | 0.8966   |
-| 0.2824        | 4.0   | 204  | 0.4262          | 0.9335   |
+| 1.1822        | 1.0   | 48   | 0.9452          | 0.8822   |
+| 0.5747        | 2.0   | 96   | 0.5520          | 0.9110   |
+| 0.3112        | 3.0   | 144  | 0.3952          | 0.9346   |
+| 0.2416        | 4.0   | 192  | 0.3590          | 0.9450   |
 
 
 ### Framework versions

config.json

@@ -9,47 +9,43 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "Peanut Chikki",
-    "1": "Popped Rice",
-    "10": "\u0995\u09a6\u09ae\u09be",
-    "11": "\u0997\u099c\u09be",
-    "12": "\u09a4\u09bf\u09b2\u09c7\u09b0 \u0996\u09be\u099c\u09be",
-    "13": "\u09a8\u0995\u09c1\u09b2\u09a6\u09be\u09a8\u09be",
-    "14": "\u09a8\u09be\u09b0\u09bf\u0995\u09c7\u09b2 \u09a8\u09be\u09a1\u09bc\u09c1",
-    "15": "\u09a8\u09bf\u09ae\u0995\u09bf",
-    "16": "\u09ac\u09be\u09a4\u09be\u09b8\u09be",
-    "17": "\u09ae\u09bf\u099b\u09b0\u09bf",
-    "2": "Puffed Rice",
-    "3": "bakarkhani",
-    "4": "flattened rice",
-    "5": "jalebi",
-    "6": "morobba",
-    "7": "muri mowa",
-    "8": "soan papdi",
-    "9": "\u0986\u09ae\u09b8\u09a4\u09cd\u09a4\u09cd\u09ac"
+    "0": "Amshotto",
+    "1": "Bakhorkhani",
+    "10": "Narikel Naru",
+    "11": "Nimki",
+    "12": "Nokul Dana",
+    "13": "Shonpapri",
+    "14": "Tiler Khaja",
+    "15": "muri mowa",
+    "2": "Batasha",
+    "3": "Chira",
+    "4": "Jilapi",
+    "5": "Khoi",
+    "6": "Kotkoti",
+    "7": "Misri",
+    "8": "Morobba",
+    "9": "Muri"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Peanut Chikki": "0",
-    "Popped Rice": "1",
-    "Puffed Rice": "2",
-    "bakarkhani": "3",
-    "flattened rice": "4",
-    "jalebi": "5",
-    "morobba": "6",
-    "muri mowa": "7",
-    "soan papdi": "8",
-    "\u0986\u09ae\u09b8\u09a4\u09cd\u09a4\u09cd\u09ac": "9",
-    "\u0995\u09a6\u09ae\u09be": "10",
-    "\u0997\u099c\u09be": "11",
-    "\u09a4\u09bf\u09b2\u09c7\u09b0 \u0996\u09be\u099c\u09be": "12",
-    "\u09a8\u0995\u09c1\u09b2\u09a6\u09be\u09a8\u09be": "13",
-    "\u09a8\u09be\u09b0\u09bf\u0995\u09c7\u09b2 \u09a8\u09be\u09a1\u09bc\u09c1": "14",
-    "\u09a8\u09bf\u09ae\u0995\u09bf": "15",
-    "\u09ac\u09be\u09a4\u09be\u09b8\u09be": "16",
-    "\u09ae\u09bf\u099b\u09b0\u09bf": "17"
+    "Amshotto": "0",
+    "Bakhorkhani": "1",
+    "Batasha": "2",
+    "Chira": "3",
+    "Jilapi": "4",
+    "Khoi": "5",
+    "Kotkoti": "6",
+    "Misri": "7",
+    "Morobba": "8",
+    "Muri": "9",
+    "Narikel Naru": "10",
+    "Nimki": "11",
+    "Nokul Dana": "12",
+    "Shonpapri": "13",
+    "Tiler Khaja": "14",
+    "muri mowa": "15"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

model.safetensors

@@ -1,3 +1,3 @@
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+size 343267040

runs/Dec09_11-05-44_85cc5ef1c5bf/events.out.tfevents.1733742347.85cc5ef1c5bf.23.0

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training_args.bin

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