Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 model-index:
 - name: ryan_model314_3
@@ -14,11 +13,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ryan_model314_3
 
-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 beans 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2652
-- Na Accuracy: 0.9372
-- Ordinal Mae: 1.0212
+- Loss: 0.2696
+- Na Accuracy: 0.96
+- Ordinal Accuracy: 0.5
+- Ordinal Mae: 1.1684
 
 ## Model description
 
@@ -43,24 +43,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
-|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
-| 0.3676        | 0.05  | 100  | 0.3423          | 0.9274      | 1.1293      |
-| 0.3329        | 0.09  | 200  | 0.3136          | 0.9314      | 1.0706      |
-| 0.3134        | 0.14  | 300  | 0.3302          | 0.9166      | 1.1220      |
-| 0.314         | 0.19  | 400  | 0.2992          | 0.9256      | 0.8202      |
-| 0.2965        | 0.23  | 500  | 0.3198          | 0.9249      | 1.2210      |
-| 0.3068        | 0.28  | 600  | 0.2673          | 0.9372      | 1.1036      |
-| 0.2824        | 0.32  | 700  | 0.2922          | 0.9372      | 1.4977      |
-| 0.2914        | 0.37  | 800  | 0.2798          | 0.9384      | 0.7789      |
-| 0.2968        | 0.42  | 900  | 0.2710          | 0.9369      | 0.9694      |
-| 0.2433        | 0.46  | 1000 | 0.2652          | 0.9372      | 1.0212      |
-| 0.2438        | 0.51  | 1100 | 0.2783          | 0.9389      | 0.8154      |
+| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Accuracy | Ordinal Mae |
+|:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|:-----------:|
+| 0.4088        | 0.79  | 50   | 0.3099          | 0.93        | 0.4348           | 1.1053      |
+| 0.2813        | 1.59  | 100  | 0.2696          | 0.96        | 0.5              | 1.1684      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:59415c61968dd247860755c340a03d2badc700d277eef79714545668582da822
 size 343236280

runs/Mar27_07-38-15_ryanserver/events.out.tfevents.1711539501.ryanserver.4146.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e112284825373ae141a758cdfd5e49ba435fd3d8a2e05b041f0775f788938c67
+size 6371