End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/dinov2-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: dino_finetuned
+  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. -->
+
+# dino_finetuned
+
+This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.2604
+- eval_accuracy: 0.6907
+- eval_runtime: 159.664
+- eval_samples_per_second: 56.97
+- eval_steps_per_second: 1.096
+- epoch: 11.1899
+- step: 1000
+
+## 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: 52
+- eval_batch_size: 52
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 208
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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