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---
tags:
- image-classification
- generated_from_trainer
datasets:
- image_folder
model-index:
- name: swin_cont
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. -->
# swin_cont
This model was trained from scratch on the zindi dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4766
- eval_accuracy: 0.7545
- eval_runtime: 236.8539
- eval_samples_per_second: 16.352
- eval_steps_per_second: 0.515
- epoch: 2.0
- step: 347
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
### Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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