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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-224-pt22k-finetuned-IDRiD
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-base-patch16-224-pt22k-finetuned-IDRiD
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1881
- Accuracy: 0.5714
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 3 | 1.5369 | 0.4762 |
| No log | 2.0 | 6 | 1.4999 | 0.3333 |
| No log | 3.0 | 9 | 1.3085 | 0.4524 |
| 1.6051 | 4.0 | 12 | 1.3072 | 0.4524 |
| 1.6051 | 5.0 | 15 | 1.2578 | 0.5238 |
| 1.6051 | 6.0 | 18 | 1.2376 | 0.5476 |
| 1.3665 | 7.0 | 21 | 1.2073 | 0.5714 |
| 1.3665 | 8.0 | 24 | 1.1972 | 0.5714 |
| 1.3665 | 9.0 | 27 | 1.1942 | 0.5714 |
| 1.3024 | 10.0 | 30 | 1.1881 | 0.5714 |
### Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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