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: dino-base-2023_12_18-kornia_img-size518_batch-size32_epochs20
+  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-base-2023_12_18-kornia_img-size518_batch-size32_epochs20
+
+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: 0.1485
+- F1 Micro: 0.7788
+- F1 Macro: 0.7272
+- Roc Auc: 0.8566
+- Accuracy: 0.4645
+- 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Roc Auc | Accuracy | Rate |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-------:|:--------:|:----:|
+| No log        | 1.0   | 268  | 0.1853          | 0.6692   | 0.5725   | 0.7700  | 0.4084   | 0.01 |
+| 0.2132        | 2.0   | 536  | 0.1678          | 0.7630   | 0.7066   | 0.8729  | 0.4134   | 0.01 |
+| 0.2132        | 3.0   | 804  | 0.1568          | 0.7665   | 0.7008   | 0.8456  | 0.4541   | 0.01 |
+| 0.1913        | 4.0   | 1072 | 0.1496          | 0.7900   | 0.7401   | 0.8786  | 0.4509   | 0.01 |
+| 0.1913        | 5.0   | 1340 | 0.1668          | 0.7692   | 0.7355   | 0.8765  | 0.4091   | 0.01 |
+| 0.1899        | 6.0   | 1608 | 0.1519          | 0.7619   | 0.6472   | 0.8352  | 0.4605   | 0.01 |
+| 0.1899        | 7.0   | 1876 | 0.1590          | 0.7725   | 0.6881   | 0.8654  | 0.4391   | 0.01 |
+| 0.188         | 8.0   | 2144 | 0.1490          | 0.7812   | 0.6946   | 0.8642  | 0.4459   | 0.01 |
+| 0.188         | 9.0   | 2412 | 0.1493          | 0.7887   | 0.7115   | 0.8765  | 0.4670   | 0.01 |
+| 0.1888        | 10.0  | 2680 | 0.1444          | 0.7744   | 0.7014   | 0.8445  | 0.4720   | 0.01 |
+| 0.1888        | 11.0  | 2948 | 0.1582          | 0.7652   | 0.6895   | 0.8498  | 0.4348   | 0.01 |
+| 0.1888        | 12.0  | 3216 | 0.1536          | 0.7491   | 0.6946   | 0.8176  | 0.4616   | 0.01 |
+| 0.1888        | 13.0  | 3484 | 0.1514          | 0.7728   | 0.6920   | 0.8503  | 0.4555   | 0.01 |
+| 0.1886        | 14.0  | 3752 | 0.1668          | 0.6863   | 0.5593   | 0.7725  | 0.4355   | 0.01 |
+| 0.1906        | 15.0  | 4020 | 0.1524          | 0.7589   | 0.6660   | 0.8395  | 0.4534   | 0.01 |
+| 0.1906        | 16.0  | 4288 | 0.1429          | 0.7849   | 0.7240   | 0.8546  | 0.4762   | 0.01 |
+| 0.1879        | 17.0  | 4556 | 0.1711          | 0.7453   | 0.6093   | 0.8492  | 0.4123   | 0.01 |
+| 0.1879        | 18.0  | 4824 | 0.1588          | 0.7304   | 0.5857   | 0.8062  | 0.4373   | 0.01 |
+| 0.1888        | 19.0  | 5092 | 0.1634          | 0.7428   | 0.6950   | 0.8220  | 0.4466   | 0.01 |
+| 0.1888        | 20.0  | 5360 | 0.1485          | 0.7788   | 0.7272   | 0.8566  | 0.4645   | 0.01 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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