End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swinv2-base-patch4-window8-256
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: swinv2-base-patch4-window8-256-Kaggle_test_20231123
+  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-base-patch4-window8-256-Kaggle_test_20231123
+
+This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window8-256](https://huggingface.co/microsoft/swinv2-base-patch4-window8-256) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2066
+- Accuracy: 0.9315
+
+## 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: 0.0001
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2882        | 1.0   | 64   | 0.2488          | 0.9311   |
+| 0.2568        | 2.0   | 128  | 0.2522          | 0.9311   |
+| 0.1961        | 3.0   | 192  | 0.2066          | 0.9315   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9315403422982885,
+    "eval_loss": 0.20660635828971863,
+    "eval_runtime": 37.2573,
+    "eval_samples_per_second": 54.889,
+    "eval_steps_per_second": 1.718
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9315403422982885,
+    "eval_loss": 0.20660635828971863,
+    "eval_runtime": 37.2573,
+    "eval_samples_per_second": 54.889,
+    "eval_steps_per_second": 1.718
+}

runs/Nov23_14-34-57_b42e52fff48c/events.out.tfevents.1700757105.b42e52fff48c.164.1

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