End of training

README.md

@@ -4,7 +4,7 @@ base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
-- beans
+- imagefolder
 metrics:
 - accuracy
 model-index:
@@ -14,15 +14,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: beans
-      type: beans
+      name: imagefolder
+      type: imagefolder
       config: default
       split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9323671497584541
+      value: 0.5875
 ---
 
 <!-- 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 beans 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: 0.2122
-- Accuracy: 0.9324
+- Loss: 1.2378
+- Accuracy: 0.5875
 
 ## Model description
 
@@ -52,26 +52,44 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 52   | 0.2103          | 0.9469   |
-| No log        | 2.0   | 104  | 0.1899          | 0.9372   |
-| No log        | 3.0   | 156  | 0.1798          | 0.9420   |
+| No log        | 1.0   | 40   | 2.0656          | 0.125    |
+| No log        | 2.0   | 80   | 2.0558          | 0.1938   |
+| No log        | 3.0   | 120  | 2.0177          | 0.2375   |
+| No log        | 4.0   | 160  | 1.9156          | 0.3438   |
+| No log        | 5.0   | 200  | 1.7849          | 0.3063   |
+| No log        | 6.0   | 240  | 1.6961          | 0.3187   |
+| No log        | 7.0   | 280  | 1.6026          | 0.3937   |
+| No log        | 8.0   | 320  | 1.5455          | 0.3688   |
+| No log        | 9.0   | 360  | 1.4723          | 0.4562   |
+| No log        | 10.0  | 400  | 1.3931          | 0.5      |
+| No log        | 11.0  | 440  | 1.4418          | 0.4375   |
+| No log        | 12.0  | 480  | 1.3306          | 0.4437   |
+| 1.5855        | 13.0  | 520  | 1.2437          | 0.575    |
+| 1.5855        | 14.0  | 560  | 1.3712          | 0.4875   |
+| 1.5855        | 15.0  | 600  | 1.2102          | 0.55     |
+| 1.5855        | 16.0  | 640  | 1.3217          | 0.5188   |
+| 1.5855        | 17.0  | 680  | 1.3656          | 0.4938   |
+| 1.5855        | 18.0  | 720  | 1.3261          | 0.525    |
+| 1.5855        | 19.0  | 760  | 1.5611          | 0.4625   |
+| 1.5855        | 20.0  | 800  | 1.4503          | 0.5125   |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.33.2
 - 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 sha256:75bb8d41a624944e11cc75aaecd470cdb2b6954b9883d71262a42b9d984da769
 size 343287149