Commit
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4650185
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Parent(s):
36173b6
End of training
Browse files- README.md +107 -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: google/vit-base-patch16-224-in21k
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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: urinary_carcinoma_classifier_g001
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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: train[:23]
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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: 0.6
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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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# urinary_carcinoma_classifier_g001
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6827
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- Accuracy: 0.6
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 1 | 0.7147 | 0.4 |
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| No log | 2.0 | 2 | 0.7114 | 0.4 |
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| No log | 3.0 | 3 | 0.6968 | 0.2 |
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| No log | 4.0 | 4 | 0.7055 | 0.4 |
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| No log | 5.0 | 5 | 0.6741 | 0.4 |
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| No log | 6.0 | 6 | 0.6580 | 0.6 |
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| No log | 7.0 | 7 | 0.6092 | 0.6 |
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| No log | 8.0 | 8 | 0.6200 | 0.6 |
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| No log | 9.0 | 9 | 0.6139 | 0.6 |
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| 0.3094 | 10.0 | 10 | 0.5969 | 0.6 |
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| 0.3094 | 11.0 | 11 | 0.5677 | 0.6 |
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| 0.3094 | 12.0 | 12 | 0.6021 | 0.6 |
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| 0.3094 | 13.0 | 13 | 0.6189 | 0.6 |
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| 0.3094 | 14.0 | 14 | 0.6054 | 0.6 |
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| 0.3094 | 15.0 | 15 | 0.6240 | 0.6 |
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| 0.3094 | 16.0 | 16 | 0.5388 | 0.6 |
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| 0.3094 | 17.0 | 17 | 0.5320 | 0.6 |
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| 0.3094 | 18.0 | 18 | 0.5973 | 0.6 |
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| 0.3094 | 19.0 | 19 | 0.5981 | 0.8 |
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| 0.1723 | 20.0 | 20 | 0.6531 | 0.6 |
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| 0.1723 | 21.0 | 21 | 0.6246 | 0.6 |
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| 0.1723 | 22.0 | 22 | 0.6718 | 0.6 |
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| 0.1723 | 23.0 | 23 | 0.6692 | 0.6 |
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| 0.1723 | 24.0 | 24 | 0.6537 | 0.6 |
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| 0.1723 | 25.0 | 25 | 0.4650 | 0.6 |
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| 0.1723 | 26.0 | 26 | 0.6873 | 0.6 |
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| 0.1723 | 27.0 | 27 | 0.6461 | 0.6 |
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| 0.1723 | 28.0 | 28 | 0.5876 | 0.8 |
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| 0.1723 | 29.0 | 29 | 0.4898 | 0.6 |
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| 0.1049 | 30.0 | 30 | 0.6827 | 0.6 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1
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- Datasets 2.20.0
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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 343223968
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version https://git-lfs.github.com/spec/v1
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oid sha256:2eaff1d08290bb452f127f75012935e405f0748de33dce0258bcfeafb64f5c3b
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size 343223968
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