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---
license: apache-2.0
base_model: microsoft/beit-large-patch16-384
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-large-patch16-384-limb-person-crop-8_1e-4_1e-3_0.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-large-patch16-384-limb-person-crop-8_1e-4_1e-3_0.1
This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on the c14kevincardenas/beta_caller_284_person_crop dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8104
- Accuracy: 0.7629
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2934 | 1.0 | 214 | 1.3109 | 0.4585 |
| 1.1806 | 2.0 | 428 | 1.1092 | 0.5564 |
| 1.181 | 3.0 | 642 | 1.0387 | 0.6078 |
| 1.1188 | 4.0 | 856 | 0.9513 | 0.6667 |
| 1.0883 | 5.0 | 1070 | 0.9218 | 0.6849 |
| 1.0148 | 6.0 | 1284 | 0.8751 | 0.7106 |
| 0.9767 | 7.0 | 1498 | 0.8362 | 0.7463 |
| 0.9218 | 8.0 | 1712 | 0.8223 | 0.7463 |
| 0.8507 | 9.0 | 1926 | 0.8148 | 0.7620 |
| 0.8348 | 10.0 | 2140 | 0.8104 | 0.7629 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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