|
--- |
|
license: apache-2.0 |
|
base_model: microsoft/beit-base-patch16-224 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: hushem_1x_beit_base_rms_0001_fold4 |
|
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: 0.5 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# hushem_1x_beit_base_rms_0001_fold4 |
|
|
|
This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2977 |
|
- Accuracy: 0.5 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 6 | 1.3978 | 0.2619 | |
|
| 1.9888 | 2.0 | 12 | 1.3961 | 0.2381 | |
|
| 1.9888 | 3.0 | 18 | 1.3839 | 0.2619 | |
|
| 1.4109 | 4.0 | 24 | 1.3035 | 0.3095 | |
|
| 1.3832 | 5.0 | 30 | 1.2707 | 0.5714 | |
|
| 1.3832 | 6.0 | 36 | 1.2845 | 0.3571 | |
|
| 1.4922 | 7.0 | 42 | 1.4385 | 0.2857 | |
|
| 1.4922 | 8.0 | 48 | 1.2908 | 0.2619 | |
|
| 1.2776 | 9.0 | 54 | 1.3088 | 0.5238 | |
|
| 1.269 | 10.0 | 60 | 1.2412 | 0.3333 | |
|
| 1.269 | 11.0 | 66 | 1.1676 | 0.5238 | |
|
| 1.2132 | 12.0 | 72 | 1.1566 | 0.4286 | |
|
| 1.2132 | 13.0 | 78 | 1.0746 | 0.5714 | |
|
| 1.115 | 14.0 | 84 | 1.2329 | 0.4286 | |
|
| 1.1413 | 15.0 | 90 | 1.1499 | 0.4048 | |
|
| 1.1413 | 16.0 | 96 | 1.0494 | 0.5476 | |
|
| 0.9563 | 17.0 | 102 | 0.9577 | 0.5238 | |
|
| 0.9563 | 18.0 | 108 | 1.2486 | 0.4048 | |
|
| 0.9343 | 19.0 | 114 | 1.2396 | 0.5238 | |
|
| 0.8964 | 20.0 | 120 | 1.5448 | 0.3810 | |
|
| 0.8964 | 21.0 | 126 | 1.6028 | 0.4762 | |
|
| 0.826 | 22.0 | 132 | 1.0756 | 0.5714 | |
|
| 0.826 | 23.0 | 138 | 1.4576 | 0.4048 | |
|
| 0.6612 | 24.0 | 144 | 1.5635 | 0.4286 | |
|
| 0.7361 | 25.0 | 150 | 1.2476 | 0.5952 | |
|
| 0.7361 | 26.0 | 156 | 1.6591 | 0.4048 | |
|
| 0.5674 | 27.0 | 162 | 1.5837 | 0.5238 | |
|
| 0.5674 | 28.0 | 168 | 2.8490 | 0.4286 | |
|
| 0.5637 | 29.0 | 174 | 1.9394 | 0.5714 | |
|
| 0.4528 | 30.0 | 180 | 2.5319 | 0.4762 | |
|
| 0.4528 | 31.0 | 186 | 1.8994 | 0.5714 | |
|
| 0.455 | 32.0 | 192 | 2.3813 | 0.5476 | |
|
| 0.455 | 33.0 | 198 | 2.3989 | 0.5 | |
|
| 0.4317 | 34.0 | 204 | 2.5912 | 0.5 | |
|
| 0.3921 | 35.0 | 210 | 2.8985 | 0.4762 | |
|
| 0.3921 | 36.0 | 216 | 2.9682 | 0.5 | |
|
| 0.3189 | 37.0 | 222 | 3.2291 | 0.5 | |
|
| 0.3189 | 38.0 | 228 | 3.0818 | 0.5476 | |
|
| 0.3067 | 39.0 | 234 | 3.1819 | 0.5238 | |
|
| 0.2523 | 40.0 | 240 | 3.2200 | 0.4524 | |
|
| 0.2523 | 41.0 | 246 | 3.2572 | 0.5 | |
|
| 0.2633 | 42.0 | 252 | 3.2977 | 0.5 | |
|
| 0.2633 | 43.0 | 258 | 3.2977 | 0.5 | |
|
| 0.2304 | 44.0 | 264 | 3.2977 | 0.5 | |
|
| 0.2585 | 45.0 | 270 | 3.2977 | 0.5 | |
|
| 0.2585 | 46.0 | 276 | 3.2977 | 0.5 | |
|
| 0.2417 | 47.0 | 282 | 3.2977 | 0.5 | |
|
| 0.2417 | 48.0 | 288 | 3.2977 | 0.5 | |
|
| 0.2307 | 49.0 | 294 | 3.2977 | 0.5 | |
|
| 0.2495 | 50.0 | 300 | 3.2977 | 0.5 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
