Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: google/vit-large-patch16-224
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -16,7 +15,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: dungeon-geo-morphs
+      name: imagefolder
       type: imagefolder
       config: default
       split: validation
@@ -32,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-large-patch16-224-dungeon-geo-morphs-008
 
-This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
+This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0781
+- Loss: 0.0935
 - Accuracy: 0.9722
 
 ## Model description
@@ -54,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -63,16 +62,16 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 35
+- num_epochs: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.6526        | 6.5714  | 10   | 0.1925          | 0.9722   |
-| 0.0388        | 13.2857 | 20   | 0.0781          | 0.9722   |
-| 0.002         | 19.8571 | 30   | 0.0781          | 0.9722   |
+| 0.0018        | 6.5714  | 10   | 0.1107          | 0.9722   |
+| 0.0002        | 13.2857 | 20   | 0.1064          | 0.9722   |
+| 0.0001        | 19.8571 | 30   | 0.0935          | 0.9722   |
 
 
 ### Framework versions

model.safetensors

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 size 1213265372

runs/Nov13_17-27-56_de5729e0f5b3/events.out.tfevents.1731518885.de5729e0f5b3.318.2

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