Model save

README.md

@@ -1,9 +1,6 @@
 ---
 base_model: d071696/vit-finetune-scrap
 tags:
-- image-classification
-- image-feature-extraction
-- image-to-text
 - generated_from_trainer
 datasets:
 - arrow
@@ -16,7 +13,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: d071696/scraps1
+      name: arrow
       type: arrow
       config: default
       split: train
@@ -24,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.954983922829582
+      value: 0.9260450160771704
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-finetune-scrap
 
-This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) on the d071696/scraps1 dataset.
+This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) on the arrow dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1588
-- Accuracy: 0.9550
+- Loss: 0.3599
+- Accuracy: 0.9260
 
 ## Model description
 
@@ -55,7 +52,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 16
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -66,12 +63,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1672        | 0.64  | 100  | 0.2250          | 0.9486   |
-| 0.1277        | 1.28  | 200  | 0.2467          | 0.9373   |
-| 0.0253        | 1.92  | 300  | 0.1588          | 0.9550   |
-| 0.0224        | 2.56  | 400  | 0.1691          | 0.9534   |
-| 0.0321        | 3.21  | 500  | 0.1751          | 0.9566   |
-| 0.0112        | 3.85  | 600  | 0.1805          | 0.9550   |
+| 0.0021        | 3.22  | 1000 | 0.3599          | 0.9260   |
 
 
 ### Framework versions

runs/Apr03_18-00-45_X5C922065N/events.out.tfevents.1712160051.X5C922065N.13113.1

@@ -1,3 +1,3 @@
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-size 26498
+oid sha256:63bb5b3ab0869fddcc180148e78da40b15a2a1c7eb4c2ca7220eece7967baf2d
+size 31916