Model save

README.md

@@ -2,13 +2,27 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
+datasets:
+- imagefolder
 metrics:
 - accuracy
 model-index:
 - name: Action_all_10_class
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8785276073619632
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Action_all_10_class
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the Action_small_dataset dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4259
-- Accuracy: 0.8661
+- Loss: 0.4146
+- Accuracy: 0.8785
 
 ## Model description
 
@@ -51,23 +65,25 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0772        | 0.4   | 100  | 1.0525          | 0.6738   |
-| 0.9054        | 0.8   | 200  | 0.7350          | 0.8006   |
-| 0.9093        | 1.2   | 300  | 0.6519          | 0.8162   |
-| 0.6264        | 1.61  | 400  | 0.6052          | 0.8105   |
-| 0.9279        | 2.01  | 500  | 0.6442          | 0.7934   |
-| 0.5023        | 2.41  | 600  | 0.5365          | 0.8262   |
-| 0.4644        | 2.81  | 700  | 0.5505          | 0.8305   |
-| 0.4217        | 3.21  | 800  | 0.5024          | 0.8433   |
-| 0.4447        | 3.61  | 900  | 0.4700          | 0.8533   |
-| 0.4073        | 4.02  | 1000 | 0.4605          | 0.8632   |
-| 0.2679        | 4.42  | 1100 | 0.4259          | 0.8661   |
-| 0.262         | 4.82  | 1200 | 0.4417          | 0.8604   |
+| 1.1239        | 0.35  | 100  | 0.9934          | 0.7117   |
+| 0.8878        | 0.69  | 200  | 0.7667          | 0.7706   |
+| 0.9037        | 1.04  | 300  | 0.6369          | 0.8098   |
+| 0.7307        | 1.38  | 400  | 0.5772          | 0.8319   |
+| 0.6624        | 1.73  | 500  | 0.6925          | 0.7718   |
+| 0.5781        | 2.08  | 600  | 0.5439          | 0.8405   |
+| 0.5537        | 2.42  | 700  | 0.5257          | 0.8331   |
+| 0.4112        | 2.77  | 800  | 0.4500          | 0.8564   |
+| 0.3263        | 3.11  | 900  | 0.4911          | 0.8417   |
+| 0.4592        | 3.46  | 1000 | 0.4551          | 0.8712   |
+| 0.3204        | 3.81  | 1100 | 0.4325          | 0.8724   |
+| 0.3268        | 4.15  | 1200 | 0.4529          | 0.8540   |
+| 0.4267        | 4.5   | 1300 | 0.4356          | 0.8724   |
+| 0.2886        | 4.84  | 1400 | 0.4146          | 0.8785   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -11,11 +11,11 @@
   "id2label": {
     "0": "\u0995\u09a5\u09be_\u09ac\u09b2\u09be",
     "1": "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be",
-    "2": "\u0996\u09be\u0993\u09af\u09bc\u09be",
+    "2": "\u0996\u09be\u0993\u09df\u09be",
     "3": "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be",
-    "4": "\u0998\u09c1\u09ae\u09be\u09a8\u09c7\u09be",
-    "5": "\u09aa\u09a1\u09bc\u09be",
-    "6": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
+    "4": "\u0998\u09c1\u09ae\u09be\u09a8\u09cb",
+    "5": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
+    "6": "\u09aa\u09dc\u09be",
     "7": "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be",
     "8": "\u09b2\u09c7\u0996\u09be",
     "9": "\u09b9\u09be\u0981\u099f\u09be"
@@ -26,11 +26,11 @@
   "label2id": {
     "\u0995\u09a5\u09be_\u09ac\u09b2\u09be": "0",
     "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be": "1",
-    "\u0996\u09be\u0993\u09af\u09bc\u09be": "2",
+    "\u0996\u09be\u0993\u09df\u09be": "2",
     "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be": "3",
-    "\u0998\u09c1\u09ae\u09be\u09a8\u09c7\u09be": "4",
-    "\u09aa\u09a1\u09bc\u09be": "5",
-    "\u09aa\u09be\u09a8_\u0995\u09b0\u09be": "6",
+    "\u0998\u09c1\u09ae\u09be\u09a8\u09cb": "4",
+    "\u09aa\u09be\u09a8_\u0995\u09b0\u09be": "5",
+    "\u09aa\u09dc\u09be": "6",
     "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be": "7",
     "\u09b2\u09c7\u0996\u09be": "8",
     "\u09b9\u09be\u0981\u099f\u09be": "9"
@@ -44,5 +44,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.2"
+  "transformers_version": "4.39.3"
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 343248584

preprocessor_config.json

@@ -1,4 +1,18 @@
 {
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,

runs/Apr30_14-52-00_e47bc2c7ac19/events.out.tfevents.1714488721.e47bc2c7ac19.34.0

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+size 40828

training_args.bin

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+size 4920