Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-tiny-patch4-window16-256
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: save-model-final-fork
+  results: []
+---
+
+<!-- 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. -->
+
+# save-model-final-fork
+
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1404
+- Accuracy: 0.9625
+
+## 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: 0.0003
+- train_batch_size: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| No log        | 1.0   | 10   | 0.725    | 0.7459          |
+| No log        | 2.0   | 20   | 0.875    | 0.5996          |
+| No log        | 3.0   | 30   | 0.7375   | 0.8398          |
+| No log        | 4.0   | 40   | 0.8125   | 0.6444          |
+| No log        | 5.0   | 50   | 0.8375   | 0.6891          |
+| No log        | 6.0   | 60   | 0.825    | 0.6675          |
+| No log        | 7.0   | 70   | 0.8375   | 0.7300          |
+| No log        | 8.0   | 80   | 0.85     | 0.8635          |
+| No log        | 9.0   | 90   | 0.3333   | 0.95            |
+| 0.1657        | 10.0  | 100  | 0.2634   | 0.9375          |
+| 0.1657        | 11.0  | 110  | 0.3821   | 0.9375          |
+| 0.1657        | 12.0  | 120  | 0.2343   | 0.9625          |
+| 0.1657        | 13.0  | 130  | 0.3103   | 0.9375          |
+| 0.1657        | 14.0  | 140  | 0.3481   | 0.95            |
+| 0.1657        | 15.0  | 150  | 0.2419   | 0.9625          |
+| 0.1657        | 16.0  | 160  | 0.2408   | 0.9375          |
+| 0.1657        | 17.0  | 170  | 0.3202   | 0.95            |
+| 0.1657        | 18.0  | 180  | 0.4016   | 0.9125          |
+| 0.1657        | 19.0  | 190  | 0.3918   | 0.925           |
+| 0.0254        | 20.0  | 200  | 0.3874   | 0.9375          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/May19_09-08-51_f99a7511256b/events.out.tfevents.1716110079.f99a7511256b.34.1

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