Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnext-base-224-22k-1k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: convnext-base-224-22k-1k-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. -->
+
+# convnext-base-224-22k-1k-finetuned-eurosat
+
+This model is a fine-tuned version of [facebook/convnext-base-224-22k-1k](https://huggingface.co/facebook/convnext-base-224-22k-1k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4190
+- Accuracy: 0.8483
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6643        | 0.99  | 70   | 0.6090          | 0.7754   |
+| 0.4729        | 2.0   | 141  | 0.4641          | 0.8253   |
+| 0.3858        | 2.98  | 210  | 0.4190          | 0.8483   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1