Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/dinov2-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dino-large-2023_12_06-with_custom_head
+  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-large-2023_12_06-with_custom_head
+
+This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3992
+- F1 Micro: 0.7494
+- F1 Macro: 0.7143
+- Roc Auc: 0.8439
+- Accuracy: 0.4327
+- Learning Rate: 0.01
+
+## 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: 0.01
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Roc Auc | Accuracy | Rate |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-------:|:--------:|:----:|
+| 0.4649        | 1.0   | 536  | 0.3992          | 0.7494   | 0.7143   | 0.8439  | 0.4327   | 0.01 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1