End of training

README.md

@@ -1,10 +1,10 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: facebook/convnext-large-224-22k-1k
 tags:
 - generated_from_trainer
 datasets:
-- imagefolder
+- imagenet_10
 metrics:
 - accuracy
 model-index:
@@ -14,15 +14,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
-      type: imagefolder
+      name: imagenet_10
+      type: imagenet_10
       config: default
-      split: train
+      split: train[:7000]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4375
+      value: 0.9942857142857143
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # image_classification
 
-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.
+This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the imagenet_10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5566
-- Accuracy: 0.4375
+- Loss: 0.0357
+- Accuracy: 0.9943
 
 ## Model description
 
@@ -52,38 +52,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 15
-- eval_batch_size: 15
+- learning_rate: 0.0001
+- train_batch_size: 17
+- eval_batch_size: 17
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 43   | 2.0423          | 0.2562   |
-| No log        | 2.0   | 86   | 1.9764          | 0.2812   |
-| No log        | 3.0   | 129  | 1.8803          | 0.3125   |
-| No log        | 4.0   | 172  | 1.7690          | 0.3187   |
-| No log        | 5.0   | 215  | 1.6910          | 0.375    |
-| No log        | 6.0   | 258  | 1.6397          | 0.3688   |
-| No log        | 7.0   | 301  | 1.6053          | 0.4688   |
-| No log        | 8.0   | 344  | 1.5674          | 0.4875   |
-| No log        | 9.0   | 387  | 1.5714          | 0.4625   |
-| No log        | 10.0  | 430  | 1.5394          | 0.4938   |
-| No log        | 11.0  | 473  | 1.5183          | 0.4375   |
-| 1.6941        | 12.0  | 516  | 1.5211          | 0.4938   |
-| 1.6941        | 13.0  | 559  | 1.4997          | 0.4562   |
-| 1.6941        | 14.0  | 602  | 1.5191          | 0.4375   |
-| 1.6941        | 15.0  | 645  | 1.4892          | 0.4875   |
+| No log        | 1.0   | 330  | 0.0637          | 0.9843   |
+| 0.0602        | 2.0   | 660  | 0.0664          | 0.9821   |
+| 0.0602        | 3.0   | 990  | 0.0843          | 0.9843   |
+| 0.0468        | 4.0   | 1320 | 0.0452          | 0.9879   |
+| 0.0313        | 5.0   | 1650 | 0.0347          | 0.9914   |
+| 0.0313        | 6.0   | 1980 | 0.0432          | 0.9914   |
+| 0.0232        | 7.0   | 2310 | 0.0314          | 0.99     |
+| 0.0223        | 8.0   | 2640 | 0.0337          | 0.9921   |
+| 0.0223        | 9.0   | 2970 | 0.0381          | 0.99     |
+| 0.0177        | 10.0  | 3300 | 0.0321          | 0.9921   |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
+- Transformers 4.33.3
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:b75edd40f7f11683848bf8633c211b986ff22540102c2efcdb94c97004b49b9d
 size 785101485