Model save

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-tiny-patch4-window8-256
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swinv2-tiny-patch4-window8-256-dmae-humeda-1
+  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-dmae-humeda-1
+
+This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2863
+- Accuracy: 0.5
+
+## 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        | 1.0   | 2    | 1.5476          | 0.3462   |
+| No log        | 2.0   | 4    | 1.4060          | 0.4615   |
+| No log        | 3.0   | 6    | 1.4222          | 0.4423   |
+| No log        | 4.0   | 8    | 1.4011          | 0.4231   |
+| 1.4158        | 5.0   | 10   | 1.3764          | 0.4615   |
+| 1.4158        | 6.0   | 12   | 1.3549          | 0.5      |
+| 1.4158        | 7.0   | 14   | 1.3302          | 0.5      |
+| 1.4158        | 8.0   | 16   | 1.3073          | 0.5      |
+| 1.4158        | 9.0   | 18   | 1.2923          | 0.5      |
+| 1.2817        | 10.0  | 20   | 1.2863          | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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