transformers pytorch beit image-classification generated_from_trainer dataset:imagefolder base_model:microsoft/beit-large-patch16-224 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/beit-large-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: smids_10x_beit_large_sgd_0001_fold1
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: test
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8714524207011686
---

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# smids_10x_beit_large_sgd_0001_fold1

This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3289
- Accuracy: 0.8715

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9122        | 1.0   | 751   | 1.0277          | 0.4591   |
| 0.7509        | 2.0   | 1502  | 0.8635          | 0.6194   |
| 0.6317        | 3.0   | 2253  | 0.7448          | 0.7012   |
| 0.5452        | 4.0   | 3004  | 0.6612          | 0.7446   |
| 0.5954        | 5.0   | 3755  | 0.5972          | 0.7830   |
| 0.5075        | 6.0   | 4506  | 0.5495          | 0.7930   |
| 0.5045        | 7.0   | 5257  | 0.5158          | 0.8130   |
| 0.4666        | 8.0   | 6008  | 0.4891          | 0.8147   |
| 0.4159        | 9.0   | 6759  | 0.4686          | 0.8247   |
| 0.4231        | 10.0  | 7510  | 0.4504          | 0.8280   |
| 0.4497        | 11.0  | 8261  | 0.4359          | 0.8364   |
| 0.3539        | 12.0  | 9012  | 0.4229          | 0.8381   |
| 0.3554        | 13.0  | 9763  | 0.4122          | 0.8414   |
| 0.3441        | 14.0  | 10514 | 0.4038          | 0.8414   |
| 0.3331        | 15.0  | 11265 | 0.3962          | 0.8431   |
| 0.3376        | 16.0  | 12016 | 0.3885          | 0.8431   |
| 0.374         | 17.0  | 12767 | 0.3827          | 0.8431   |
| 0.3157        | 18.0  | 13518 | 0.3768          | 0.8464   |
| 0.3563        | 19.0  | 14269 | 0.3725          | 0.8514   |
| 0.3183        | 20.0  | 15020 | 0.3682          | 0.8548   |
| 0.2569        | 21.0  | 15771 | 0.3646          | 0.8598   |
| 0.312         | 22.0  | 16522 | 0.3608          | 0.8581   |
| 0.3262        | 23.0  | 17273 | 0.3576          | 0.8598   |
| 0.3722        | 24.0  | 18024 | 0.3550          | 0.8598   |
| 0.3339        | 25.0  | 18775 | 0.3524          | 0.8598   |
| 0.3725        | 26.0  | 19526 | 0.3497          | 0.8631   |
| 0.35          | 27.0  | 20277 | 0.3474          | 0.8664   |
| 0.3858        | 28.0  | 21028 | 0.3456          | 0.8648   |
| 0.3212        | 29.0  | 21779 | 0.3439          | 0.8664   |
| 0.3222        | 30.0  | 22530 | 0.3422          | 0.8681   |
| 0.2584        | 31.0  | 23281 | 0.3410          | 0.8664   |
| 0.3877        | 32.0  | 24032 | 0.3393          | 0.8698   |
| 0.3116        | 33.0  | 24783 | 0.3380          | 0.8698   |
| 0.3141        | 34.0  | 25534 | 0.3366          | 0.8715   |
| 0.3279        | 35.0  | 26285 | 0.3358          | 0.8681   |
| 0.2798        | 36.0  | 27036 | 0.3348          | 0.8715   |
| 0.3928        | 37.0  | 27787 | 0.3341          | 0.8715   |
| 0.3           | 38.0  | 28538 | 0.3331          | 0.8715   |
| 0.2471        | 39.0  | 29289 | 0.3324          | 0.8715   |
| 0.3456        | 40.0  | 30040 | 0.3317          | 0.8715   |
| 0.3078        | 41.0  | 30791 | 0.3311          | 0.8715   |
| 0.24          | 42.0  | 31542 | 0.3306          | 0.8715   |
| 0.289         | 43.0  | 32293 | 0.3302          | 0.8715   |
| 0.2977        | 44.0  | 33044 | 0.3297          | 0.8715   |
| 0.2559        | 45.0  | 33795 | 0.3294          | 0.8715   |
| 0.3508        | 46.0  | 34546 | 0.3292          | 0.8715   |
| 0.26          | 47.0  | 35297 | 0.3291          | 0.8715   |
| 0.3325        | 48.0  | 36048 | 0.3290          | 0.8715   |
| 0.2898        | 49.0  | 36799 | 0.3289          | 0.8715   |
| 0.2912        | 50.0  | 37550 | 0.3289          | 0.8715   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
