End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: 0.50-200Train-100Test-swinv2-base
+  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. -->
+
+# 0.50-200Train-100Test-swinv2-base
+
+This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7447
+- Accuracy: 0.8061
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.091         | 0.9931 | 36   | 0.7873          | 0.7397   |
+| 0.4466        | 1.9862 | 72   | 0.7616          | 0.7659   |
+| 0.1971        | 2.9793 | 108  | 0.7490          | 0.7808   |
+| 0.0816        | 4.0    | 145  | 0.8106          | 0.7869   |
+| 0.0318        | 4.9655 | 180  | 0.7447          | 0.8061   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1