Commit
•
096c303
1
Parent(s):
084ecb1
Model save
Browse files- README.md +36 -38
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -2,8 +2,6 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: microsoft/beit-large-patch16-224-pt22k
|
| 4 |
tags:
|
| 5 |
-
- image-classification
|
| 6 |
-
- vision
|
| 7 |
- generated_from_trainer
|
| 8 |
metrics:
|
| 9 |
- accuracy
|
|
@@ -20,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 20 |
|
| 21 |
# beit-large-patch16-224-pt22k-finetuned-galaxy10-decals
|
| 22 |
|
| 23 |
-
This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k) on
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
-
- Loss: 0.
|
| 26 |
-
- Accuracy: 0.
|
| 27 |
-
- Precision: 0.
|
| 28 |
-
- Recall: 0.
|
| 29 |
-
- F1: 0.
|
| 30 |
|
| 31 |
## Model description
|
| 32 |
|
|
@@ -60,36 +58,36 @@ The following hyperparameters were used during training:
|
|
| 60 |
|
| 61 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|
| 62 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
|
| 63 |
-
| 1.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
-
| 0.
|
| 76 |
-
| 0.
|
| 77 |
-
| 0.
|
| 78 |
-
| 0.
|
| 79 |
-
| 0.
|
| 80 |
-
| 0.
|
| 81 |
-
| 0.
|
| 82 |
-
| 0.
|
| 83 |
-
| 0.
|
| 84 |
-
| 0.
|
| 85 |
-
| 0.
|
| 86 |
-
| 0.
|
| 87 |
-
| 0.
|
| 88 |
-
| 0.
|
| 89 |
-
| 0.
|
| 90 |
-
| 0.
|
| 91 |
-
| 0.
|
| 92 |
-
| 0.
|
| 93 |
|
| 94 |
|
| 95 |
### Framework versions
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: microsoft/beit-large-patch16-224-pt22k
|
| 4 |
tags:
|
|
|
|
|
|
|
| 5 |
- generated_from_trainer
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
|
|
|
| 18 |
|
| 19 |
# beit-large-patch16-224-pt22k-finetuned-galaxy10-decals
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k) on an unknown dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.5104
|
| 24 |
+
- Accuracy: 0.8726
|
| 25 |
+
- Precision: 0.8725
|
| 26 |
+
- Recall: 0.8726
|
| 27 |
+
- F1: 0.8718
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
|
|
|
| 58 |
|
| 59 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|
| 60 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
|
| 61 |
+
| 1.5632 | 0.99 | 62 | 1.3358 | 0.5265 | 0.5377 | 0.5265 | 0.4840 |
|
| 62 |
+
| 0.8801 | 2.0 | 125 | 0.7053 | 0.7717 | 0.7710 | 0.7717 | 0.7559 |
|
| 63 |
+
| 0.7408 | 2.99 | 187 | 0.5995 | 0.7897 | 0.7878 | 0.7897 | 0.7803 |
|
| 64 |
+
| 0.6124 | 4.0 | 250 | 0.5448 | 0.8140 | 0.8178 | 0.8140 | 0.8076 |
|
| 65 |
+
| 0.5799 | 4.99 | 312 | 0.5354 | 0.8174 | 0.8224 | 0.8174 | 0.8165 |
|
| 66 |
+
| 0.567 | 6.0 | 375 | 0.5044 | 0.8247 | 0.8314 | 0.8247 | 0.8194 |
|
| 67 |
+
| 0.5237 | 6.99 | 437 | 0.4913 | 0.8388 | 0.8429 | 0.8388 | 0.8371 |
|
| 68 |
+
| 0.4674 | 8.0 | 500 | 0.4927 | 0.8484 | 0.8541 | 0.8484 | 0.8477 |
|
| 69 |
+
| 0.4869 | 8.99 | 562 | 0.4167 | 0.8546 | 0.8570 | 0.8546 | 0.8526 |
|
| 70 |
+
| 0.4442 | 10.0 | 625 | 0.4086 | 0.8579 | 0.8583 | 0.8579 | 0.8564 |
|
| 71 |
+
| 0.4294 | 10.99 | 687 | 0.4743 | 0.8489 | 0.8516 | 0.8489 | 0.8489 |
|
| 72 |
+
| 0.4032 | 12.0 | 750 | 0.4350 | 0.8664 | 0.8651 | 0.8664 | 0.8647 |
|
| 73 |
+
| 0.4028 | 12.99 | 812 | 0.4443 | 0.8568 | 0.8623 | 0.8568 | 0.8561 |
|
| 74 |
+
| 0.3939 | 14.0 | 875 | 0.4193 | 0.8608 | 0.8605 | 0.8608 | 0.8593 |
|
| 75 |
+
| 0.3447 | 14.99 | 937 | 0.4289 | 0.8698 | 0.8692 | 0.8698 | 0.8688 |
|
| 76 |
+
| 0.354 | 16.0 | 1000 | 0.4471 | 0.8653 | 0.8661 | 0.8653 | 0.8648 |
|
| 77 |
+
| 0.2934 | 16.99 | 1062 | 0.4888 | 0.8574 | 0.8573 | 0.8574 | 0.8546 |
|
| 78 |
+
| 0.3262 | 18.0 | 1125 | 0.4605 | 0.8602 | 0.8602 | 0.8602 | 0.8588 |
|
| 79 |
+
| 0.3287 | 18.99 | 1187 | 0.4439 | 0.8681 | 0.8682 | 0.8681 | 0.8673 |
|
| 80 |
+
| 0.2848 | 20.0 | 1250 | 0.4986 | 0.8641 | 0.8633 | 0.8641 | 0.8615 |
|
| 81 |
+
| 0.283 | 20.99 | 1312 | 0.4663 | 0.8692 | 0.8681 | 0.8692 | 0.8676 |
|
| 82 |
+
| 0.3106 | 22.0 | 1375 | 0.4668 | 0.8720 | 0.8735 | 0.8720 | 0.8697 |
|
| 83 |
+
| 0.2785 | 22.99 | 1437 | 0.4899 | 0.8664 | 0.8649 | 0.8664 | 0.8650 |
|
| 84 |
+
| 0.2635 | 24.0 | 1500 | 0.5047 | 0.8771 | 0.8770 | 0.8771 | 0.8764 |
|
| 85 |
+
| 0.2573 | 24.99 | 1562 | 0.5144 | 0.8732 | 0.8730 | 0.8732 | 0.8723 |
|
| 86 |
+
| 0.238 | 26.0 | 1625 | 0.5012 | 0.8732 | 0.8729 | 0.8732 | 0.8723 |
|
| 87 |
+
| 0.2358 | 26.99 | 1687 | 0.5021 | 0.8681 | 0.8709 | 0.8681 | 0.8690 |
|
| 88 |
+
| 0.2624 | 28.0 | 1750 | 0.5154 | 0.8715 | 0.8711 | 0.8715 | 0.8705 |
|
| 89 |
+
| 0.229 | 28.99 | 1812 | 0.5087 | 0.8698 | 0.8690 | 0.8698 | 0.8689 |
|
| 90 |
+
| 0.227 | 29.76 | 1860 | 0.5104 | 0.8726 | 0.8725 | 0.8726 | 0.8718 |
|
| 91 |
|
| 92 |
|
| 93 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1212638896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e423fc7f5f3f0462d6d81d9d591226fe9e180447f1b874961cd256d9294b59a4
|
| 3 |
size 1212638896
|