Model save
Browse files- README.md +87 -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: microsoft/beit-base-patch16-224-pt22k-ft22k
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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: beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
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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
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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: 1.0
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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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# beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0120
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- Accuracy: 1.0
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 10
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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 | 0.97 | 8 | 0.3613 | 0.8103 |
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| 0.5337 | 1.94 | 16 | 0.1871 | 0.9483 |
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| 0.2621 | 2.91 | 24 | 0.0921 | 0.9655 |
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| 0.2071 | 4.0 | 33 | 0.0626 | 0.9741 |
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| 0.1577 | 4.97 | 41 | 0.0316 | 0.9914 |
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| 0.1577 | 5.94 | 49 | 0.0421 | 0.9828 |
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| 0.1296 | 6.91 | 57 | 0.0142 | 1.0 |
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| 0.1102 | 8.0 | 66 | 0.0570 | 0.9828 |
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| 0.1344 | 8.97 | 74 | 0.0123 | 1.0 |
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| 0.0905 | 9.7 | 80 | 0.0120 | 1.0 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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 343080328
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f9ce260eef5cf5b3c24ce333f99a480a6b396361e487f6e118cc380cf2f7b32
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size 343080328
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