Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6206896551724138
+      value: 0.6436781609195402
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2023
-- Accuracy: 0.6207
+- Loss: 1.1899
+- Accuracy: 0.6437
 
 ## Model description
 
@@ -53,25 +53,25 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 256
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.01
+- lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.96  | 6    | 1.2097          | 0.6437   |
-| 0.4195        | 1.92  | 12   | 1.1981          | 0.6322   |
-| 0.4195        | 2.88  | 18   | 1.1809          | 0.6437   |
-| 0.5111        | 4.0   | 25   | 1.2069          | 0.6207   |
-| 0.4519        | 4.8   | 30   | 1.2023          | 0.6207   |
+| No log        | 0.92  | 3    | 1.2084          | 0.6207   |
+| No log        | 1.85  | 6    | 1.1689          | 0.6437   |
+| No log        | 2.77  | 9    | 1.1639          | 0.6437   |
+| 0.4271        | 4.0   | 13   | 1.1867          | 0.6437   |
+| 0.4271        | 4.62  | 15   | 1.1899          | 0.6437   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:441457ce7732d1e3b6232e790e61ae2c8dddd7ce4cfd6113cef6c32c6f4e6216
+oid sha256:e5ff64be58578b802bdffb27628d85516248bbfb1c3487eaccd8988f82ff75be
 size 343233204

runs/Mar13_07-36-15_be0be0d60671/events.out.tfevents.1710315394.be0be0d60671.34.7

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:73d725ac5c0ddbc30951836599f362969388afb827cff1be1668c807ac73f95c
-size 6710
+oid sha256:f55c31a7ce6eb317098b717e13d8e2d3cdcc71829c5f21af7ca0f0c01b08123e
+size 7058