Model save
Browse files- README.md +115 -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-ultralytics_yolo_cropped_lateral_flow_ivalidation
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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: 0.8425531914893617
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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-ultralytics_yolo_cropped_lateral_flow_ivalidation
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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: 0.3950
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- Accuracy: 0.8426
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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: 40
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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 | 0.9231 | 3 | 0.8678 | 0.4277 |
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| No log | 1.8462 | 6 | 0.6171 | 0.7 |
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| No log | 2.7692 | 9 | 0.4174 | 0.8723 |
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| 0.6518 | 4.0 | 13 | 0.5366 | 0.7106 |
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| 0.6518 | 4.9231 | 16 | 0.3255 | 0.8851 |
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| 0.6518 | 5.8462 | 19 | 0.6159 | 0.6809 |
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| 0.4119 | 6.7692 | 22 | 0.3017 | 0.9191 |
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| 0.4119 | 8.0 | 26 | 0.5130 | 0.7128 |
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| 0.4119 | 8.9231 | 29 | 0.2183 | 0.9255 |
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| 0.3387 | 9.8462 | 32 | 0.2523 | 0.9149 |
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| 0.3387 | 10.7692 | 35 | 0.1774 | 0.9489 |
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| 0.3387 | 12.0 | 39 | 0.2376 | 0.9255 |
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| 0.3055 | 12.9231 | 42 | 0.3930 | 0.8383 |
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| 0.3055 | 13.8462 | 45 | 0.2308 | 0.9234 |
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| 0.3055 | 14.7692 | 48 | 0.1587 | 0.9468 |
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| 0.2909 | 16.0 | 52 | 0.6113 | 0.6830 |
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| 0.2909 | 16.9231 | 55 | 0.2910 | 0.8915 |
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| 0.2909 | 17.8462 | 58 | 0.3612 | 0.8447 |
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| 0.2227 | 18.7692 | 61 | 0.3117 | 0.8787 |
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| 0.2227 | 20.0 | 65 | 0.2684 | 0.9170 |
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| 0.2227 | 20.9231 | 68 | 0.3767 | 0.8404 |
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| 0.2129 | 21.8462 | 71 | 0.2527 | 0.9234 |
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| 0.2129 | 22.7692 | 74 | 0.3270 | 0.8745 |
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| 0.2129 | 24.0 | 78 | 0.4314 | 0.8064 |
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| 0.213 | 24.9231 | 81 | 0.2874 | 0.9 |
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| 0.213 | 25.8462 | 84 | 0.4797 | 0.7894 |
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| 0.213 | 26.7692 | 87 | 0.4896 | 0.7851 |
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| 0.1758 | 28.0 | 91 | 0.3144 | 0.8723 |
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| 0.1758 | 28.9231 | 94 | 0.5881 | 0.7213 |
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| 0.1758 | 29.8462 | 97 | 0.5599 | 0.7298 |
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| 0.1766 | 30.7692 | 100 | 0.3413 | 0.8702 |
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| 0.1766 | 32.0 | 104 | 0.3453 | 0.8638 |
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| 0.1766 | 32.9231 | 107 | 0.3634 | 0.8596 |
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| 0.1583 | 33.8462 | 110 | 0.3799 | 0.8468 |
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| 0.1583 | 34.7692 | 113 | 0.3840 | 0.8468 |
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| 0.1583 | 36.0 | 117 | 0.3890 | 0.8447 |
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| 0.1969 | 36.9231 | 120 | 0.3950 | 0.8426 |
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 86688624
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version https://git-lfs.github.com/spec/v1
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oid sha256:a83547d5eb56f53b5d2dc5a224b316053e556d8ed8008f737a0968545a7e5e6e
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size 86688624
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