Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/dinov2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dinov2-base-finetuned-lora-EA-rank8
+  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-finetuned-lora-EA-rank8
+
+This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4365
+- Accuracy: 0.8233
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.7805 | 2    | 0.5030          | 0.8142   |
+| No log        | 1.9512 | 5    | 0.4567          | 0.8215   |
+| No log        | 2.7317 | 7    | 0.4511          | 0.8215   |
+| 0.4811        | 3.9024 | 10   | 0.4438          | 0.8179   |
+| 0.4811        | 4.6829 | 12   | 0.4392          | 0.8215   |
+| 0.4811        | 5.8537 | 15   | 0.4379          | 0.8452   |
+| 0.4811        | 6.6341 | 17   | 0.4365          | 0.8233   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1