Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/dinov2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dinov2-base-MEG5-5
+  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. -->
+
+# dinov2-base-MEG5-5
+
+This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6964
+- Accuracy: 0.8704
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 0.1774        | 1.0000 | 12653 | 0.6342          | 0.8221   |
+| 0.1053        | 2.0    | 25307 | 0.5782          | 0.8484   |
+| 0.0592        | 3.0000 | 37960 | 0.5909          | 0.8606   |
+| 0.0452        | 4.0    | 50614 | 0.6203          | 0.8698   |
+| 0.0121        | 4.9998 | 63265 | 0.6964          | 0.8704   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.20.3