Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnext-large-384-22k-1k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: convnext-large-384-22k-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-large-384-22k-1k-finetuned-eurosat
+
+This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://huggingface.co/facebook/convnext-large-384-22k-1k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0029
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 40
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2737        | 0.97  | 22   | 0.0849          |
+| 0.0416        | 1.98  | 45   | 0.0055          |
+| 0.0096        | 2.99  | 68   | 0.0012          |
+| 0.0018        | 3.87  | 88   | 0.0029          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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