Model save

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: swin-tiny-patch4-window7-224-finetuned-cloudy
+  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: 1.0
+---
+
+<!-- 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-cloudy
+
+This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0392
+- Accuracy: 1.0
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.2993          | 0.8182   |
+| No log        | 2.0   | 3    | 0.1963          | 0.9091   |
+| No log        | 3.0   | 5    | 0.1130          | 0.9091   |
+| No log        | 4.0   | 6    | 0.0694          | 1.0      |
+| No log        | 5.0   | 7    | 0.0569          | 1.0      |
+| No log        | 6.0   | 9    | 0.0902          | 0.9091   |
+| 0.08          | 7.0   | 11   | 0.0973          | 0.9091   |
+| 0.08          | 8.0   | 12   | 0.0746          | 1.0      |
+| 0.08          | 9.0   | 13   | 0.0527          | 1.0      |
+| 0.08          | 10.0  | 15   | 0.0392          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:087549af6cf545a069eaf7c7f8907ff5c667b1361c7bc1188dbc64f4b508eab0
+oid sha256:58d2b41028df830bdd93d7c363d978998f6aa90ad8387ec2e70e157fc64cddb7
 size 110342832

runs/Nov17_06-02-46_5b1724f311f1/events.out.tfevents.1700200976.5b1724f311f1.2687.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f170d7f622cca3168feb1bba8dec1b5b7ec8bd1f7c1bd1538e6777acf0c3cc4
-size 7411
+oid sha256:0834ecbd75d31410c47f73581968cf1386a4a24fd8b506caa9ff1e2257bfb8a5
+size 8393