Model save
Browse files- README.md +80 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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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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base_model: google/vit-base-patch16-224-in21k
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model-index:
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- name: chest-vit-base-finetuned
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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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# chest-vit-base-finetuned
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0982
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- Accuracy: 0.9639
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- Precision: 0.9419
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- Recall: 0.9703
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- F1: 0.9548
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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: 0.005
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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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- num_epochs: 10
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- mixed_precision_training: Native AMP
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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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| 0.211 | 0.99 | 63 | 0.1140 | 0.9605 | 0.9401 | 0.9616 | 0.9501 |
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| 0.1911 | 1.99 | 127 | 0.1517 | 0.9330 | 0.8989 | 0.9483 | 0.9186 |
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| 0.1695 | 3.0 | 191 | 0.1163 | 0.9579 | 0.9354 | 0.9609 | 0.9471 |
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| 0.1556 | 4.0 | 255 | 0.1159 | 0.9571 | 0.9669 | 0.9220 | 0.9417 |
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| 0.173 | 4.99 | 318 | 0.1166 | 0.9502 | 0.9229 | 0.9578 | 0.9381 |
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| 0.1485 | 5.99 | 382 | 0.0825 | 0.9717 | 0.9578 | 0.9702 | 0.9638 |
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| 0.1854 | 7.0 | 446 | 0.0878 | 0.9717 | 0.9578 | 0.9702 | 0.9638 |
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| 0.1353 | 8.0 | 510 | 0.1060 | 0.9588 | 0.9351 | 0.9647 | 0.9484 |
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| 0.1196 | 8.99 | 573 | 0.0882 | 0.9691 | 0.9527 | 0.9695 | 0.9607 |
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| 0.1218 | 9.88 | 630 | 0.0982 | 0.9639 | 0.9419 | 0.9703 | 0.9548 |
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_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 2372592
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbb7689c9f826774878cffebf5096bf4a44b659cc8214363b89786b7c51e0e45
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size 2372592
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