Model save

README.md

@@ -1,8 +1,7 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: Raihan004/Action_model
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -15,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: action_class
+      name: imagefolder
       type: imagefolder
       config: default
       split: train
@@ -23,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.789103690685413
+      value: 0.8488576449912126
 ---
 
 <!-- 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. -->
 
 # Action_model
 
-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_class dataset.
+This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1399
-- Accuracy: 0.7891
+- Loss: 0.5034
+- Accuracy: 0.8489
 
 ## Model description
 
@@ -59,14 +58,26 @@ 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: 1
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2948        | 0.75  | 100  | 1.1399          | 0.7891   |
+| 0.7766        | 0.75  | 100  | 0.6780          | 0.8225   |
+| 0.61          | 1.49  | 200  | 0.6279          | 0.8243   |
+| 0.4734        | 2.24  | 300  | 0.5593          | 0.8278   |
+| 0.5275        | 2.99  | 400  | 0.5148          | 0.8418   |
+| 0.3767        | 3.73  | 500  | 0.5129          | 0.8436   |
+| 0.3207        | 4.48  | 600  | 0.4966          | 0.8559   |
+| 0.3155        | 5.22  | 700  | 0.5251          | 0.8453   |
+| 0.2565        | 5.97  | 800  | 0.4790          | 0.8629   |
+| 0.2791        | 6.72  | 900  | 0.5111          | 0.8524   |
+| 0.1987        | 7.46  | 1000 | 0.5002          | 0.8453   |
+| 0.2083        | 8.21  | 1100 | 0.5034          | 0.8629   |
+| 0.2567        | 8.96  | 1200 | 0.4995          | 0.8576   |
+| 0.2127        | 9.7   | 1300 | 0.5034          | 0.8489   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "Raihan004/Action_model",
   "architectures": [
     "ViTForImageClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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runs/May07_17-56-54_6cf576645707/events.out.tfevents.1715104615.6cf576645707.35.2

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training_args.bin

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