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-0316-cropped-cleaned-dataset-10
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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: 0.8834154351395731
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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-0316-cropped-cleaned-dataset-10
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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: 0.4247
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- Accuracy: 0.8834
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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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| 1.3709 | 1.0 | 17 | 0.6977 | 0.8050 |
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| 0.5673 | 2.0 | 34 | 0.5949 | 0.8099 |
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| 0.5227 | 3.0 | 51 | 0.6152 | 0.7931 |
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| 0.4958 | 4.0 | 68 | 0.4351 | 0.8436 |
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| 0.4402 | 5.0 | 85 | 0.3777 | 0.8580 |
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| 0.3878 | 6.0 | 102 | 0.3970 | 0.8699 |
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| 0.3646 | 7.0 | 119 | 0.3793 | 0.8641 |
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| 0.3452 | 8.0 | 136 | 0.3550 | 0.8805 |
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| 0.344 | 9.0 | 153 | 0.4003 | 0.8736 |
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| 0.3365 | 10.0 | 170 | 0.3654 | 0.8830 |
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| 0.3223 | 11.0 | 187 | 0.3571 | 0.8764 |
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| 0.2819 | 12.0 | 204 | 0.3665 | 0.8789 |
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| 0.2998 | 13.0 | 221 | 0.3609 | 0.8838 |
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| 0.2959 | 14.0 | 238 | 0.4335 | 0.8719 |
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| 0.2662 | 15.0 | 255 | 0.4245 | 0.8785 |
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| 0.2668 | 16.0 | 272 | 0.3760 | 0.8846 |
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| 0.2576 | 17.0 | 289 | 0.3728 | 0.8830 |
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| 0.2398 | 18.0 | 306 | 0.4192 | 0.8814 |
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| 0.2278 | 19.0 | 323 | 0.4156 | 0.8805 |
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| 0.2033 | 20.0 | 340 | 0.4159 | 0.8851 |
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| 0.2037 | 21.0 | 357 | 0.3986 | 0.8855 |
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| 0.1934 | 22.0 | 374 | 0.4220 | 0.8822 |
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| 0.1983 | 23.0 | 391 | 0.4159 | 0.8855 |
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| 0.1746 | 24.0 | 408 | 0.4179 | 0.8855 |
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| 0.1776 | 25.0 | 425 | 0.4247 | 0.8834 |
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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
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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 86691704
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc9acc9389156f124deefe4c4c747389e20f6ed03066dedfba704fe9d9151f7f
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size 86691704
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