Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-base-patch4-window12-192-22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swin-dog-food
+  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. -->
+
+# swin-dog-food
+
+This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0015
+- 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 53   | 0.0069          | 1.0      |
+| 0.0765        | 2.0   | 106  | 0.0032          | 1.0      |
+| 0.0765        | 3.0   | 159  | 0.0023          | 1.0      |
+| 0.0037        | 4.0   | 212  | 0.0019          | 1.0      |
+| 0.0037        | 5.0   | 265  | 0.0018          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/May18_08-09-28_65419c5962dc/events.out.tfevents.1716020047.65419c5962dc.34.1

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