Model save
Browse files- README.md +103 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/vit-msn-small
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: vit-msn-small-wbc-classifier-cells-separated-dataset-agregates-25
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9374958397124409
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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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# vit-msn-small-wbc-classifier-cells-separated-dataset-agregates-25
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This model is a fine-tuned version of [facebook/vit-msn-small](https://huggingface.co/facebook/vit-msn-small) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2370
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- Accuracy: 0.9375
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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-05
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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: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| 0.351 | 0.9937 | 119 | 0.2523 | 0.9151 |
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| 0.3364 | 1.9958 | 239 | 0.2355 | 0.9195 |
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| 0.2999 | 2.9979 | 359 | 0.2384 | 0.9169 |
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| 0.2861 | 4.0 | 479 | 0.1902 | 0.9341 |
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| 0.3014 | 4.9937 | 598 | 0.2154 | 0.9290 |
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| 0.292 | 5.9958 | 718 | 0.1764 | 0.9383 |
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| 0.2441 | 6.9979 | 838 | 0.1894 | 0.9348 |
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| 0.2416 | 8.0 | 958 | 0.1913 | 0.9349 |
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| 0.2642 | 8.9937 | 1077 | 0.1738 | 0.9385 |
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| 0.2482 | 9.9958 | 1197 | 0.1911 | 0.9371 |
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| 0.2279 | 10.9979 | 1317 | 0.1867 | 0.9381 |
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| 0.2331 | 12.0 | 1437 | 0.1814 | 0.9389 |
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| 0.2208 | 12.9937 | 1556 | 0.1790 | 0.9401 |
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| 0.2326 | 13.9958 | 1676 | 0.1926 | 0.9366 |
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| 0.1899 | 14.9979 | 1796 | 0.1975 | 0.9372 |
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| 0.1822 | 16.0 | 1916 | 0.2052 | 0.9352 |
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| 0.1837 | 16.9937 | 2035 | 0.2078 | 0.9364 |
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| 0.1712 | 17.9958 | 2155 | 0.2345 | 0.9288 |
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| 0.1715 | 18.9979 | 2275 | 0.2156 | 0.9368 |
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| 0.1516 | 20.0 | 2395 | 0.2279 | 0.9368 |
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| 0.1504 | 20.9937 | 2514 | 0.2213 | 0.9382 |
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| 0.139 | 21.9958 | 2634 | 0.2247 | 0.9370 |
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| 0.1264 | 22.9979 | 2754 | 0.2357 | 0.9384 |
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| 0.1266 | 24.0 | 2874 | 0.2360 | 0.9381 |
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| 0.1144 | 24.8434 | 2975 | 0.2370 | 0.9375 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 86693244
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec3d848afb0e086adba609fae04c0a4a7938a6bc1103970501db2f41eae1ab8f
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size 86693244
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