Model save

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-large-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-large-patch16-224-dungeon-geo-morphs-007
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9722222222222222
+---
+
+<!-- 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. -->
+
+# vit-large-patch16-224-dungeon-geo-morphs-007
+
+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: 0.0674
+- Accuracy: 0.9722
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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: 31
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.0           | 6.5714  | 10   | 0.0367          | 0.9722   |
+| 0.0           | 13.2857 | 20   | 0.0632          | 0.9722   |
+| 0.0           | 19.8571 | 30   | 0.0674          | 0.9722   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e43eae7d6a2237e614b85a7d4c0ded9655d0068eee5f7e7a95fbe217627436d1
+oid sha256:aef6101ba9f76f9922c3eeeaca4fa7cb9532f0f27ff3b47a419b79fc2ea4bc67
 size 1213265372

runs/Nov13_16-49-12_7700b6860981/events.out.tfevents.1731516561.7700b6860981.865.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bed75590a03fa57362828897933c2b0223b378e0c69c23801a91c5bade336dd
-size 6796
+oid sha256:cf598e498f9dfa35832b433211beb914c430635cb55a70d00e299cc1c811fbec
+size 7144