Final model push

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: 0x-Jayveersinh-Raj/fabric_classifier
 tags:
 - generated_from_trainer
 datasets:
@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5294117647058824
+      value: 0.5
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fabric_classifier
 
-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 arrow dataset.
+This model is a fine-tuned version of [0x-Jayveersinh-Raj/fabric_classifier](https://huggingface.co/0x-Jayveersinh-Raj/fabric_classifier) on the arrow dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1426
-- Accuracy: 0.5294
-- F1 Macro: 0.2642
-- F1 Micro: 0.5294
+- Loss: 2.0567
+- Accuracy: 0.5
+- F1 Macro: 0.2581
+- F1 Micro: 0.5
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
-| 2.2743        | 1.0   | 88   | 2.2088          | 0.3235   | 0.0906   | 0.3235   |
-| 2.225         | 2.0   | 176  | 2.1776          | 0.4706   | 0.1411   | 0.4706   |
-| 2.1906        | 3.0   | 264  | 2.1581          | 0.4706   | 0.1590   | 0.4706   |
-| 2.1659        | 4.0   | 352  | 2.1473          | 0.5294   | 0.2642   | 0.5294   |
-| 2.1618        | 5.0   | 440  | 2.1426          | 0.5294   | 0.2642   | 0.5294   |
+| 2.1491        | 1.0   | 88   | 2.1111          | 0.4706   | 0.2386   | 0.4706   |
+| 2.1058        | 2.0   | 176  | 2.0857          | 0.4706   | 0.2497   | 0.4706   |
+| 2.0814        | 3.0   | 264  | 2.0697          | 0.5      | 0.2581   | 0.5      |
+| 2.0558        | 4.0   | 352  | 2.0608          | 0.5      | 0.2581   | 0.5      |
+| 2.0512        | 5.0   | 440  | 2.0567          | 0.5      | 0.2581   | 0.5      |
 
 
 ### Framework versions