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Browse files- README.md +72 -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-large-patch16-384
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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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model-index:
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- name: beit-large-patch16-384-limb-person-crop-8_5e-5_5e-3_0.15
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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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# beit-large-patch16-384-limb-person-crop-8_5e-5_5e-3_0.15
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This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8695
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- Accuracy: 0.7595
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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: 2014
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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_steps: 500
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.15
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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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| 1.3405 | 1.0 | 214 | 1.4133 | 0.4013 |
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| 1.1968 | 2.0 | 428 | 1.0506 | 0.6244 |
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| 1.1686 | 3.0 | 642 | 1.0164 | 0.6401 |
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| 1.0942 | 4.0 | 856 | 0.9993 | 0.6609 |
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| 1.0901 | 5.0 | 1070 | 0.9592 | 0.6891 |
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| 1.0295 | 6.0 | 1284 | 0.9035 | 0.7355 |
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| 0.9602 | 7.0 | 1498 | 0.8933 | 0.7579 |
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| 0.9428 | 8.0 | 1712 | 0.8566 | 0.7678 |
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| 0.8893 | 9.0 | 1926 | 0.8635 | 0.7612 |
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| 0.8661 | 10.0 | 2140 | 0.8695 | 0.7595 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.19.1
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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 1215964752
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version https://git-lfs.github.com/spec/v1
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oid sha256:0288e198d4a013a309d9ee05385b20edc47d0f23d7ae5cdb14b99ecee73652ba
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size 1215964752
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