Model save

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: NiharGupte/swin-tiny-patch4-window7-224-finetuned-student_six_classes
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: swin-tiny-patch4-window7-224-finetuned-student_six_classes-finetuned-student_six_classes
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.78
+---
+
+<!-- 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. -->
+
+# swin-tiny-patch4-window7-224-finetuned-student_six_classes-finetuned-student_six_classes
+
+This model is a fine-tuned version of [NiharGupte/swin-tiny-patch4-window7-224-finetuned-student_six_classes](https://huggingface.co/NiharGupte/swin-tiny-patch4-window7-224-finetuned-student_six_classes) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5073
+- Accuracy: 0.78
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9231 | 3    | 0.5972          | 0.78     |
+| No log        | 1.8462 | 6    | 0.9760          | 0.78     |
+| No log        | 2.7692 | 9    | 0.7597          | 0.78     |
+| 0.5361        | 4.0    | 13   | 0.5870          | 0.78     |
+| 0.5361        | 4.9231 | 16   | 0.5333          | 0.78     |
+| 0.5361        | 5.8462 | 19   | 0.5040          | 0.78     |
+| 0.4032        | 6.7692 | 22   | 0.4990          | 0.78     |
+| 0.4032        | 8.0    | 26   | 0.5073          | 0.78     |
+| 0.4032        | 8.9231 | 29   | 0.5070          | 0.78     |
+| 0.3579        | 9.2308 | 30   | 0.5073          | 0.78     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:937f390385b43b96ebb946948313e37983e622268143265da42aea21176eb6e9
+oid sha256:28698af90cf88ed00c0b6ed0946a647f643f9d725c9fd13b0145ed2be6e53039
 size 110342832