Model save
Browse files
README.md
CHANGED
|
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
|
|
|
| 20 |
- Accuracy: 0.9699
|
| 21 |
-
- Loss: 0.5646
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
|
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
-
| Training Loss | Epoch | Step |
|
| 51 |
-
|:-------------:|:-----:|:----:|:--------
|
| 52 |
-
| 0.9886 | 1.0 | 17 | 0.
|
| 53 |
-
| 0.
|
| 54 |
-
| 0.
|
| 55 |
|
| 56 |
|
| 57 |
### Framework versions
|
|
|
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.5650
|
| 21 |
- Accuracy: 0.9699
|
|
|
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
+
| 0.9886 | 1.0 | 17 | 0.7759 | 0.9248 |
|
| 53 |
+
| 0.7228 | 2.0 | 34 | 0.6195 | 0.9549 |
|
| 54 |
+
| 0.6046 | 3.0 | 51 | 0.5650 | 0.9699 |
|
| 55 |
|
| 56 |
|
| 57 |
### Framework versions
|