End of training

README.md

@@ -1,7 +1,6 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: google/vit-base-patch16-224
+base_model: sxdave/plant_classification_model_1
 tags:
 - generated_from_trainer
 datasets:
@@ -18,12 +17,12 @@ model-index:
       name: imagefolder
       type: imagefolder
       config: default
-      split: train
+      split: train[:80%]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.575
+      value: 0.9170731707317074
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+This model is a fine-tuned version of [sxdave/plant_classification_model_1](https://huggingface.co/sxdave/plant_classification_model_1) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3098
-- Accuracy: 0.575
+- Loss: 0.3907
+- Accuracy: 0.9171
 
 ## Model description
 
@@ -59,37 +58,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 1.8622          | 0.2875   |
-| 1.7517        | 2.0   | 20   | 1.6548          | 0.45     |
-| 1.7517        | 3.0   | 30   | 1.4987          | 0.4688   |
-| 0.8128        | 4.0   | 40   | 1.3997          | 0.5125   |
-| 0.8128        | 5.0   | 50   | 1.3707          | 0.5125   |
-| 0.2863        | 6.0   | 60   | 1.3209          | 0.525    |
-| 0.2863        | 7.0   | 70   | 1.3131          | 0.55     |
-| 0.0776        | 8.0   | 80   | 1.2887          | 0.5563   |
-| 0.0776        | 9.0   | 90   | 1.2996          | 0.5687   |
-| 0.0267        | 10.0  | 100  | 1.3032          | 0.5563   |
-| 0.0267        | 11.0  | 110  | 1.3003          | 0.5625   |
-| 0.0156        | 12.0  | 120  | 1.3069          | 0.5625   |
-| 0.0156        | 13.0  | 130  | 1.3039          | 0.5687   |
-| 0.0117        | 14.0  | 140  | 1.3037          | 0.5687   |
-| 0.0117        | 15.0  | 150  | 1.3059          | 0.5687   |
-| 0.0098        | 16.0  | 160  | 1.3098          | 0.575    |
-| 0.0098        | 17.0  | 170  | 1.3095          | 0.5625   |
-| 0.0088        | 18.0  | 180  | 1.3107          | 0.5625   |
-| 0.0088        | 19.0  | 190  | 1.3112          | 0.5687   |
-| 0.0083        | 20.0  | 200  | 1.3112          | 0.5687   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
 - Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224",
+  "_name_or_path": "sxdave/plant_classification_model_1",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -9,27 +9,39 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "anger",
-    "1": "contempt",
-    "2": "disgust",
-    "3": "fear",
-    "4": "happy",
-    "5": "neutral",
-    "6": "sad",
-    "7": "surprise"
+    "0": "Unlabeled",
+    "1": "basil",
+    "2": "blueash",
+    "3": "boxelder",
+    "4": "cilantro",
+    "5": "daisy",
+    "6": "mint",
+    "7": "oak%20leaves",
+    "8": "oregano",
+    "9": "parsely",
+    "10": "poison%20ivy",
+    "11": "poison%20oak",
+    "12": "rose",
+    "13": "tulip"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "anger": "0",
-    "contempt": "1",
-    "disgust": "2",
-    "fear": "3",
-    "happy": "4",
-    "neutral": "5",
-    "sad": "6",
-    "surprise": "7"
+    "Unlabeled": "0",
+    "basil": "1",
+    "blueash": "2",
+    "boxelder": "3",
+    "cilantro": "4",
+    "daisy": "5",
+    "mint": "6",
+    "oak%20leaves": "7",
+    "oregano": "8",
+    "parsely": "9",
+    "poison%20ivy": "10",
+    "poison%20oak": "11",
+    "rose": "12",
+    "tulip": "13"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88c2c59ed85a5535a11b23203d2fe77f8a4be9bc53cb60fb729c4b6ac7410d57
-size 343242432
+oid sha256:6ab56ca4b1232122f89273ac82fd4cb0c5b1678608b872493102f3aecb52442e
+size 343260888

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d74b19009d9d754be2a5b4fa40af06652484560fcd36e1b615d39dab4e433592
-size 5176
+oid sha256:c6d426f6a7a8561fbd48dac8e746b693cf408192b11e53c2c1f97fcfc9f1f44a
+size 5112