---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-base-patch16-384_alpha0.7_temp5.0
  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-patch16-384_alpha0.7_temp5.0

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5116
- Accuracy: 0.8419

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.098         | 1.0   | 90   | 1.3922          | 0.3063   |
| 0.8736        | 2.0   | 180  | 0.9673          | 0.6136   |
| 0.5416        | 3.0   | 270  | 0.6812          | 0.7599   |
| 0.3877        | 4.0   | 360  | 0.5916          | 0.7984   |
| 0.2839        | 5.0   | 450  | 0.5838          | 0.8063   |
| 0.2368        | 6.0   | 540  | 0.5499          | 0.8182   |
| 0.2149        | 7.0   | 630  | 0.6019          | 0.7984   |
| 0.1883        | 8.0   | 720  | 0.5797          | 0.8053   |
| 0.1724        | 9.0   | 810  | 0.5546          | 0.8251   |
| 0.1587        | 10.0  | 900  | 0.5658          | 0.8231   |
| 0.1592        | 11.0  | 990  | 0.5165          | 0.8231   |
| 0.1455        | 12.0  | 1080 | 0.5143          | 0.8300   |
| 0.1438        | 13.0  | 1170 | 0.5300          | 0.8330   |
| 0.1303        | 14.0  | 1260 | 0.5376          | 0.8271   |
| 0.1306        | 15.0  | 1350 | 0.5235          | 0.8281   |
| 0.1274        | 16.0  | 1440 | 0.5012          | 0.8399   |
| 0.121         | 17.0  | 1530 | 0.5207          | 0.8370   |
| 0.1197        | 18.0  | 1620 | 0.5180          | 0.8370   |
| 0.1189        | 19.0  | 1710 | 0.5124          | 0.8409   |
| 0.1157        | 20.0  | 1800 | 0.5116          | 0.8419   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1