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-004
 
-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: 0.0950
+- Loss: 0.0895
 - Accuracy: 0.9444
 
 ## Model description
@@ -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: 30
+- num_epochs: 35
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 0.7202        | 6.5714  | 10   | 0.2302          | 0.9444   |
-| 0.1296        | 13.2857 | 20   | 0.1131          | 0.9444   |
-| 0.0385        | 19.8571 | 30   | 0.0950          | 0.9444   |
+| 0.8954        | 5.7143  | 10   | 0.3421          | 0.9444   |
+| 0.2087        | 11.4286 | 20   | 0.1405          | 0.9444   |
+| 0.062         | 17.1429 | 30   | 0.0895          | 0.9444   |
 
 
 ### Framework versions

runs/Nov14_17-23-59_427600cacc83/events.out.tfevents.1731605074.427600cacc83.211.7

@@ -1,3 +1,3 @@
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-size 6759
+oid sha256:4fa41bc055aa32d9780618cea0a06e1ad4e5c47013b27bc418b79a03d7326c00
+size 7107