Model save
Browse files- README.md +97 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: microsoft/swin-small-patch4-window7-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- imagefolder
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: swin-small-patch4-window7-224-finetuned-piid
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Image Classification
|
| 15 |
+
type: image-classification
|
| 16 |
+
dataset:
|
| 17 |
+
name: imagefolder
|
| 18 |
+
type: imagefolder
|
| 19 |
+
config: default
|
| 20 |
+
split: val
|
| 21 |
+
args: default
|
| 22 |
+
metrics:
|
| 23 |
+
- name: Accuracy
|
| 24 |
+
type: accuracy
|
| 25 |
+
value: 0.776255707762557
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 30 |
+
|
| 31 |
+
# swin-small-patch4-window7-224-finetuned-piid
|
| 32 |
+
|
| 33 |
+
This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
|
| 34 |
+
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.6257
|
| 36 |
+
- Accuracy: 0.7763
|
| 37 |
+
|
| 38 |
+
## Model description
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Intended uses & limitations
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Training and evaluation data
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training procedure
|
| 51 |
+
|
| 52 |
+
### Training hyperparameters
|
| 53 |
+
|
| 54 |
+
The following hyperparameters were used during training:
|
| 55 |
+
- learning_rate: 5e-05
|
| 56 |
+
- train_batch_size: 8
|
| 57 |
+
- eval_batch_size: 8
|
| 58 |
+
- seed: 42
|
| 59 |
+
- gradient_accumulation_steps: 4
|
| 60 |
+
- total_train_batch_size: 32
|
| 61 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 62 |
+
- lr_scheduler_type: linear
|
| 63 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 64 |
+
- num_epochs: 20
|
| 65 |
+
|
| 66 |
+
### Training results
|
| 67 |
+
|
| 68 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 69 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 70 |
+
| 1.2497 | 0.98 | 20 | 1.1627 | 0.4703 |
|
| 71 |
+
| 0.7297 | 2.0 | 41 | 0.7559 | 0.6941 |
|
| 72 |
+
| 0.6428 | 2.98 | 61 | 0.8123 | 0.6575 |
|
| 73 |
+
| 0.5308 | 4.0 | 82 | 0.5771 | 0.7215 |
|
| 74 |
+
| 0.5384 | 4.98 | 102 | 0.6496 | 0.7169 |
|
| 75 |
+
| 0.4094 | 6.0 | 123 | 0.5802 | 0.7580 |
|
| 76 |
+
| 0.3204 | 6.98 | 143 | 0.6126 | 0.7489 |
|
| 77 |
+
| 0.3364 | 8.0 | 164 | 0.5391 | 0.7443 |
|
| 78 |
+
| 0.278 | 8.98 | 184 | 0.5726 | 0.7534 |
|
| 79 |
+
| 0.3469 | 10.0 | 205 | 0.5220 | 0.7900 |
|
| 80 |
+
| 0.2631 | 10.98 | 225 | 0.6373 | 0.7306 |
|
| 81 |
+
| 0.1854 | 12.0 | 246 | 0.5768 | 0.7808 |
|
| 82 |
+
| 0.2212 | 12.98 | 266 | 0.5399 | 0.7945 |
|
| 83 |
+
| 0.1918 | 14.0 | 287 | 0.5777 | 0.7900 |
|
| 84 |
+
| 0.2053 | 14.98 | 307 | 0.5609 | 0.7900 |
|
| 85 |
+
| 0.1409 | 16.0 | 328 | 0.5490 | 0.7900 |
|
| 86 |
+
| 0.1204 | 16.98 | 348 | 0.6096 | 0.7671 |
|
| 87 |
+
| 0.1467 | 18.0 | 369 | 0.6568 | 0.7626 |
|
| 88 |
+
| 0.125 | 18.98 | 389 | 0.6355 | 0.7717 |
|
| 89 |
+
| 0.114 | 19.51 | 400 | 0.6257 | 0.7763 |
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
### Framework versions
|
| 93 |
+
|
| 94 |
+
- Transformers 4.35.0
|
| 95 |
+
- Pytorch 2.1.0+cu118
|
| 96 |
+
- Datasets 2.14.6
|
| 97 |
+
- Tokenizers 0.14.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 195878712
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d929253c7b3a95d578cb749b92f3f55ff16a4d449b4bb5f1485c13fe18d7c51d
|
| 3 |
size 195878712
|