Model save

README.md

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+---
+library_name: transformers
+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-DAV42
+  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-DAV42
+
+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: 1.0626
+- Accuracy: 0.6932
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 2    | 1.5027          | 0.4091   |
+| No log        | 2.0   | 4    | 1.3949          | 0.4545   |
+| No log        | 3.0   | 6    | 1.2983          | 0.4659   |
+| No log        | 4.0   | 8    | 1.2602          | 0.4773   |
+| No log        | 5.0   | 10   | 1.2465          | 0.5568   |
+| 8.9015        | 6.0   | 12   | 1.2463          | 0.6136   |
+| 8.9015        | 7.0   | 14   | 1.2369          | 0.6136   |
+| 8.9015        | 8.0   | 16   | 1.2061          | 0.6136   |
+| 8.9015        | 9.0   | 18   | 1.1656          | 0.6477   |
+| 8.9015        | 10.0  | 20   | 1.1330          | 0.6705   |
+| 8.9015        | 11.0  | 22   | 1.1127          | 0.6818   |
+| 7.6818        | 12.0  | 24   | 1.0981          | 0.6818   |
+| 7.6818        | 13.0  | 26   | 1.0913          | 0.7045   |
+| 7.6818        | 14.0  | 28   | 1.0857          | 0.6932   |
+| 7.6818        | 15.0  | 30   | 1.0804          | 0.6932   |
+| 7.6818        | 16.0  | 32   | 1.0732          | 0.6932   |
+| 7.6818        | 17.0  | 34   | 1.0684          | 0.6932   |
+| 7.0174        | 18.0  | 36   | 1.0644          | 0.6932   |
+| 7.0174        | 19.0  | 38   | 1.0629          | 0.6932   |
+| 7.0174        | 20.0  | 40   | 1.0626          | 0.6932   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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runs/Feb06_00-43-43_2066b31ba251/events.out.tfevents.1738802636.2066b31ba251.15645.1

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