End of training

README.md

@@ -6,24 +6,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: image_classification
-  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: 0.4625
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 1.4745
-- Accuracy: 0.4625
+- eval_loss: 2.0879
+- eval_model_preparation_time: 0.0065
+- eval_accuracy: 0.1187
+- eval_runtime: 43.6598
+- eval_samples_per_second: 3.665
+- eval_steps_per_second: 0.115
+- step: 0
 
 ## Model description
 
@@ -64,32 +54,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.3
 - num_epochs: 20
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0497        | 1.0   | 10   | 1.9973          | 0.2938   |
-| 1.8686        | 2.0   | 20   | 1.9635          | 0.3      |
-| 1.825         | 3.0   | 30   | 1.9291          | 0.3125   |
-| 1.6801        | 4.0   | 40   | 1.7476          | 0.3688   |
-| 1.4192        | 5.0   | 50   | 1.6341          | 0.4125   |
-| 1.2182        | 6.0   | 60   | 1.6148          | 0.3937   |
-| 1.1688        | 7.0   | 70   | 1.5954          | 0.4      |
-| 1.0198        | 8.0   | 80   | 1.5394          | 0.4      |
-| 0.7465        | 9.0   | 90   | 1.4797          | 0.4313   |
-| 0.5733        | 10.0  | 100  | 1.4648          | 0.4      |
-| 0.5417        | 11.0  | 110  | 1.4613          | 0.3937   |
-| 0.4472        | 12.0  | 120  | 1.4418          | 0.4562   |
-| 0.3015        | 13.0  | 130  | 1.4745          | 0.4625   |
-| 0.2287        | 14.0  | 140  | 1.4175          | 0.45     |
-| 0.2154        | 15.0  | 150  | 1.4635          | 0.4562   |
-| 0.1787        | 16.0  | 160  | 1.4860          | 0.4437   |
-| 0.1312        | 17.0  | 170  | 1.5453          | 0.45     |
-| 0.1106        | 18.0  | 180  | 1.5976          | 0.4375   |
-| 0.1075        | 19.0  | 190  | 1.5866          | 0.4188   |
-| 0.0989        | 20.0  | 200  | 1.6112          | 0.4188   |
-
-
 ### Framework versions
 
 - Transformers 4.46.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e69874220a0f31e149d17e82fb7495c63aed85cb69d207d33615d7116a043f3
+oid sha256:be4e172a71f4f2e9026ad4e6c908f74d9e317638cea22a9164079ada40b6afb1
 size 343242432