Model save
Browse files- README.md +98 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals-finetuned-galaxy_mnist
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals-finetuned-galaxy_mnist
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This model is a fine-tuned version of [matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals](https://huggingface.co/matthieulel/dinov2-base-imagenet1k-1-layer-finetuned-galaxy10-decals) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1862
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- Accuracy: 0.941
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- Precision: 0.9410
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- Recall: 0.941
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- F1: 0.9410
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.8616 | 0.99 | 31 | 0.4898 | 0.8345 | 0.8394 | 0.8345 | 0.8342 |
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| 0.3162 | 1.98 | 62 | 0.1963 | 0.921 | 0.9217 | 0.921 | 0.9210 |
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| 0.2596 | 2.98 | 93 | 0.1666 | 0.9315 | 0.9322 | 0.9315 | 0.9313 |
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| 0.2237 | 4.0 | 125 | 0.1579 | 0.9385 | 0.9386 | 0.9385 | 0.9385 |
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| 0.2304 | 4.99 | 156 | 0.1631 | 0.936 | 0.9364 | 0.936 | 0.9361 |
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| 0.2096 | 5.98 | 187 | 0.1686 | 0.933 | 0.9341 | 0.933 | 0.9329 |
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| 0.1935 | 6.98 | 218 | 0.1660 | 0.934 | 0.9341 | 0.934 | 0.9339 |
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| 0.1829 | 8.0 | 250 | 0.1596 | 0.9415 | 0.9418 | 0.9415 | 0.9415 |
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| 0.178 | 8.99 | 281 | 0.1613 | 0.937 | 0.9381 | 0.937 | 0.9370 |
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| 0.158 | 9.98 | 312 | 0.1697 | 0.9335 | 0.9358 | 0.9335 | 0.9334 |
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| 0.1767 | 10.98 | 343 | 0.1653 | 0.935 | 0.9350 | 0.935 | 0.9349 |
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| 0.176 | 12.0 | 375 | 0.1752 | 0.936 | 0.9375 | 0.936 | 0.9357 |
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| 0.1563 | 12.99 | 406 | 0.1892 | 0.932 | 0.9339 | 0.932 | 0.9319 |
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| 0.1499 | 13.98 | 437 | 0.1946 | 0.9345 | 0.9353 | 0.9345 | 0.9344 |
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| 0.1388 | 14.98 | 468 | 0.1763 | 0.937 | 0.9371 | 0.937 | 0.9370 |
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| 0.1418 | 16.0 | 500 | 0.1875 | 0.9375 | 0.9390 | 0.9375 | 0.9375 |
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| 0.1332 | 16.99 | 531 | 0.1769 | 0.9365 | 0.9364 | 0.9365 | 0.9364 |
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| 0.1413 | 17.98 | 562 | 0.1851 | 0.9355 | 0.9363 | 0.9355 | 0.9355 |
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| 0.1363 | 18.98 | 593 | 0.1834 | 0.943 | 0.9430 | 0.943 | 0.9430 |
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| 0.1454 | 20.0 | 625 | 0.1823 | 0.938 | 0.9384 | 0.938 | 0.9380 |
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| 0.1369 | 20.99 | 656 | 0.1834 | 0.938 | 0.9380 | 0.938 | 0.9380 |
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| 0.1298 | 21.98 | 687 | 0.1960 | 0.932 | 0.9335 | 0.932 | 0.9318 |
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| 0.1215 | 22.98 | 718 | 0.1756 | 0.941 | 0.9410 | 0.941 | 0.9410 |
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| 0.1206 | 24.0 | 750 | 0.1917 | 0.9395 | 0.9397 | 0.9395 | 0.9394 |
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| 0.1173 | 24.99 | 781 | 0.1873 | 0.937 | 0.9370 | 0.937 | 0.9370 |
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| 0.1071 | 25.98 | 812 | 0.1856 | 0.9375 | 0.9376 | 0.9375 | 0.9375 |
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| 0.1259 | 26.98 | 843 | 0.1871 | 0.938 | 0.9380 | 0.938 | 0.9380 |
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| 0.1245 | 28.0 | 875 | 0.1866 | 0.9395 | 0.9396 | 0.9395 | 0.9395 |
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| 0.1065 | 28.99 | 906 | 0.1870 | 0.94 | 0.9401 | 0.94 | 0.9400 |
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| 0.1066 | 29.76 | 930 | 0.1862 | 0.941 | 0.9410 | 0.941 | 0.9410 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.15.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 346372224
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version https://git-lfs.github.com/spec/v1
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oid sha256:37d71a8bac05f7b13677f793ed558120073f0d2e62261aab8608d9596c08e941
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size 346372224
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