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# poolformer_s12-finetuned-IDRiD

This model is a fine-tuned version of [sail/poolformer_s12](https://huggingface.co/sail/poolformer_s12) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0484
- Accuracy: 0.4762

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 3    | 1.6953          | 0.0238   |
| No log        | 2.0   | 6    | 1.6010          | 0.3333   |
| No log        | 3.0   | 9    | 1.5131          | 0.2857   |
| 1.5842        | 4.0   | 12   | 1.4584          | 0.3810   |
| 1.5842        | 5.0   | 15   | 1.4097          | 0.4286   |
| 1.5842        | 6.0   | 18   | 1.3579          | 0.4524   |
| 1.2645        | 7.0   | 21   | 1.3034          | 0.4762   |
| 1.2645        | 8.0   | 24   | 1.2696          | 0.4762   |
| 1.2645        | 9.0   | 27   | 1.2298          | 0.4524   |
| 1.1011        | 10.0  | 30   | 1.2088          | 0.4762   |
| 1.1011        | 11.0  | 33   | 1.1945          | 0.4048   |
| 1.1011        | 12.0  | 36   | 1.1898          | 0.4524   |
| 1.1011        | 13.0  | 39   | 1.1668          | 0.4524   |
| 1.0024        | 14.0  | 42   | 1.1484          | 0.4286   |
| 1.0024        | 15.0  | 45   | 1.1374          | 0.4524   |
| 1.0024        | 16.0  | 48   | 1.1289          | 0.4524   |
| 0.9111        | 17.0  | 51   | 1.1166          | 0.4524   |
| 0.9111        | 18.0  | 54   | 1.1081          | 0.4286   |
| 0.9111        | 19.0  | 57   | 1.1011          | 0.4048   |
| 0.876         | 20.0  | 60   | 1.1005          | 0.4286   |
| 0.876         | 21.0  | 63   | 1.0999          | 0.4524   |
| 0.876         | 22.0  | 66   | 1.0933          | 0.4524   |
| 0.876         | 23.0  | 69   | 1.0714          | 0.4762   |
| 0.8375        | 24.0  | 72   | 1.0551          | 0.4762   |
| 0.8375        | 25.0  | 75   | 1.0427          | 0.4762   |
| 0.8375        | 26.0  | 78   | 1.0386          | 0.4762   |
| 0.8085        | 27.0  | 81   | 1.0413          | 0.4524   |
| 0.8085        | 28.0  | 84   | 1.0462          | 0.4762   |
| 0.8085        | 29.0  | 87   | 1.0480          | 0.4762   |
| 0.8125        | 30.0  | 90   | 1.0484          | 0.4762   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3

a_nodr b_milddr c_moderatedr d_severedr e_prodr