Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- cats_vs_dogs
+metrics:
+- accuracy
+base_model: microsoft/swinv2-tiny-patch4-window8-256
+model-index:
+- name: swinv2-tiny-patch4-window8-256-finetuned-lora-food101
+  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. -->
+
+# swinv2-tiny-patch4-window8-256-finetuned-lora-food101
+
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the cats_vs_dogs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0096
+- 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: 0.005
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 512
+- 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   | 1    | 0.0096          | 1.0      |
+| No log        | 2.0   | 2    | 0.0025          | 1.0      |
+| No log        | 3.0   | 3    | 0.0006          | 1.0      |
+| No log        | 4.0   | 4    | 0.0002          | 1.0      |
+| No log        | 5.0   | 5    | 0.0001          | 1.0      |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.0+cpu
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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