End of training
Browse files- README.md +67 -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: facebook/dino-vits8
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: dino-vits8-musinsa
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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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# dino-vits8-musinsa
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This model is a fine-tuned version of [facebook/dino-vits8](https://huggingface.co/facebook/dino-vits8) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1692
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- Precision: 0.9579
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- Recall: 0.9576
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- F1: 0.9575
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- Accuracy: 0.9576
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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: 128
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- eval_batch_size: 128
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- seed: 42
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 202 | 0.1408 | 0.9513 | 0.9494 | 0.9498 | 0.9494 |
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| No log | 2.0 | 404 | 0.1328 | 0.9563 | 0.9558 | 0.9560 | 0.9558 |
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| 0.1129 | 3.0 | 606 | 0.1692 | 0.9579 | 0.9576 | 0.9575 | 0.9576 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu121
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 86710136
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version https://git-lfs.github.com/spec/v1
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oid sha256:d658cf2dd8d0a42da0890a649cc2e9f0fbd9544a2d2b62bfe2278eaa3e2e1c9a
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size 86710136
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