|
--- |
|
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-5_1e-4_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-5_1e-4_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: 0.8748 |
|
- Accuracy: 0.7156 |
|
|
|
## 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: 1e-05 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.4023 | 1.0 | 214 | 1.3975 | 0.2745 | |
|
| 1.2554 | 2.0 | 428 | 1.1980 | 0.4909 | |
|
| 1.1636 | 3.0 | 642 | 1.0272 | 0.5978 | |
|
| 1.0988 | 4.0 | 856 | 1.0477 | 0.5954 | |
|
| 1.068 | 5.0 | 1070 | 0.9599 | 0.6592 | |
|
| 1.0159 | 6.0 | 1284 | 0.9091 | 0.6808 | |
|
| 0.9484 | 7.0 | 1498 | 0.9250 | 0.6891 | |
|
| 0.9464 | 8.0 | 1712 | 0.8801 | 0.7148 | |
|
| 0.9361 | 9.0 | 1926 | 0.8748 | 0.7156 | |
|
| 0.919 | 10.0 | 2140 | 0.8807 | 0.7056 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
