End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+model-index:
+- name: swin-tiny-patch4-window7-224-finetuned-eurosat
+  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. -->
+
+# swin-tiny-patch4-window7-224-finetuned-eurosat
+
+This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0069
+- eval_accuracy: 0.9967
+- eval_runtime: 136.0728
+- eval_samples_per_second: 8.819
+- eval_steps_per_second: 0.279
+- epoch: 1.1953
+- step: 101
+
+## 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: 3
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cpu
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.195266272189349,
+    "eval_accuracy": 0.9966666666666667,
+    "eval_loss": 0.006888017524033785,
+    "eval_runtime": 136.0728,
+    "eval_samples_per_second": 8.819,
+    "eval_steps_per_second": 0.279
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.195266272189349,
+    "eval_accuracy": 0.9966666666666667,
+    "eval_loss": 0.006888017524033785,
+    "eval_runtime": 136.0728,
+    "eval_samples_per_second": 8.819,
+    "eval_steps_per_second": 0.279
+}

model.safetensors

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