End of training

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: 1.0884
-- Accuracy: 0.75
+- Loss: 0.5172
+- Accuracy: 0.8614
 
 ## Model description
 
@@ -48,27 +48,32 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7984        | 1.0   | 12   | 1.7703          | 0.2      |
-| 1.7678        | 2.0   | 24   | 1.7096          | 0.45     |
-| 1.6943        | 3.0   | 36   | 1.6088          | 0.525    |
-| 1.6284        | 4.0   | 48   | 1.5027          | 0.575    |
-| 1.4732        | 5.0   | 60   | 1.4243          | 0.55     |
-| 1.4102        | 6.0   | 72   | 1.3879          | 0.55     |
-| 1.3583        | 7.0   | 84   | 1.3096          | 0.625    |
-| 1.2844        | 8.0   | 96   | 1.2460          | 0.675    |
-| 1.2383        | 9.0   | 108  | 1.1915          | 0.7      |
-| 1.1613        | 10.0  | 120  | 1.1863          | 0.65     |
-| 1.1508        | 11.0  | 132  | 1.1619          | 0.775    |
-| 1.0836        | 12.0  | 144  | 1.1397          | 0.8      |
-| 1.115         | 13.0  | 156  | 1.1122          | 0.75     |
-| 1.0829        | 14.0  | 168  | 1.0820          | 0.8      |
-| 1.0483        | 15.0  | 180  | 1.0884          | 0.75     |
+| 1.9286        | 1.0   | 90   | 1.8959          | 0.4785   |
+| 1.3979        | 2.0   | 180  | 1.3772          | 0.7393   |
+| 1.0135        | 3.0   | 270  | 1.0012          | 0.7987   |
+| 0.8192        | 4.0   | 360  | 0.8217          | 0.8284   |
+| 0.7478        | 5.0   | 450  | 0.7445          | 0.8251   |
+| 0.6672        | 6.0   | 540  | 0.7037          | 0.8383   |
+| 0.6584        | 7.0   | 630  | 0.6666          | 0.8449   |
+| 0.5567        | 8.0   | 720  | 0.6131          | 0.8548   |
+| 0.617         | 9.0   | 810  | 0.5836          | 0.8515   |
+| 0.4916        | 10.0  | 900  | 0.5588          | 0.8713   |
+| 0.5411        | 11.0  | 990  | 0.5741          | 0.8383   |
+| 0.5194        | 12.0  | 1080 | 0.5511          | 0.8548   |
+| 0.484         | 13.0  | 1170 | 0.5406          | 0.8614   |
+| 0.4906        | 14.0  | 1260 | 0.5187          | 0.8482   |
+| 0.4461        | 15.0  | 1350 | 0.4862          | 0.8812   |
+| 0.408         | 16.0  | 1440 | 0.5168          | 0.8746   |
+| 0.465         | 17.0  | 1530 | 0.4795          | 0.8746   |
+| 0.4229        | 18.0  | 1620 | 0.5314          | 0.8482   |
+| 0.4614        | 19.0  | 1710 | 0.5498          | 0.8383   |
+| 0.4443        | 20.0  | 1800 | 0.5172          | 0.8614   |
 
 
 ### Framework versions

config.json

@@ -10,10 +10,12 @@
   "id2label": {
     "0": "bathroom",
     "1": "bedroom",
-    "2": "hallway",
-    "3": "kitchen",
-    "4": "other",
-    "5": "toilet"
+    "2": "dining-room",
+    "3": "hallway",
+    "4": "kitchen",
+    "5": "living-room",
+    "6": "other",
+    "7": "toilet"
   },
   "image_size": 224,
   "initializer_range": 0.02,
@@ -21,10 +23,12 @@
   "label2id": {
     "bathroom": "0",
     "bedroom": "1",
-    "hallway": "2",
-    "kitchen": "3",
-    "other": "4",
-    "toilet": "5"
+    "dining-room": "2",
+    "hallway": "3",
+    "kitchen": "4",
+    "living-room": "5",
+    "other": "6",
+    "toilet": "7"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

model.safetensors

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training_args.bin

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