Model save

README.md

@@ -1,6 +1,6 @@
 ---
-datasets:
-- food101
+base_model: google/vit-base-patch16-224-in21k
+library_name: peft
 license: apache-2.0
 metrics:
 - accuracy
@@ -8,31 +8,19 @@ tags:
 - generated_from_trainer
 model-index:
 - name: vit-base-patch16-224-in21k-finetuned-lora-food101
-  results:
-  - task:
-      type: image-classification
-      name: Image Classification
-    dataset:
-      name: food101
-      type: food101
-      config: default
-      split: train[:5000]
-      args: default
-    metrics:
-    - type: accuracy
-      value: 0.96
-      name: Accuracy
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/saeid93/huggingface/runs/hyirhij9)
 # vit-base-patch16-224-in21k-finetuned-lora-food101
 
-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 food101 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1448
-- Accuracy: 0.96
+- Loss: 0.1574
+- Accuracy: 0.948
 
 ## Model description
 
@@ -66,16 +54,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 9    | 0.5069          | 0.896    |
-| 2.1627        | 2.0   | 18   | 0.1891          | 0.946    |
-| 0.3451        | 3.0   | 27   | 0.1448          | 0.96     |
-| 0.2116        | 4.0   | 36   | 0.1509          | 0.958    |
-| 0.1711        | 5.0   | 45   | 0.1498          | 0.958    |
+| No log        | 1.0   | 9    | 0.6507          | 0.872    |
+| 2.2113        | 2.0   | 18   | 0.2310          | 0.934    |
+| 0.3841        | 3.0   | 27   | 0.1893          | 0.936    |
+| 0.2264        | 4.0   | 36   | 0.1719          | 0.946    |
+| 0.1946        | 5.0   | 45   | 0.1574          | 0.948    |
 
 
 ### Framework versions
 
-- Transformers 4.26.0
-- Pytorch 1.13.1+cu116
-- Datasets 2.9.0
-- Tokenizers 0.13.2
+- PEFT 0.11.2.dev0
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul16_18-36-44_gpu/events.out.tfevents.1721155006.gpu.640168.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01c1a8b66dcc485da38ef49ab21379702d98dab43409fa7e0813475fdf30e484
-size 11789
+oid sha256:c305e1738661bb49d4a33b1eed3e5964892d97fb56ffd52e2ad1636d13f6770f
+size 12454