Commit
·
7c72e8c
1
Parent(s):
a8cfdb6
update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
-
- image-classification
|
| 5 |
- generated_from_trainer
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
|
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# vit-base-clothing-leafs-example-full-simple
|
| 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 the
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss:
|
| 21 |
-
- Accuracy: 0.
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -37,7 +36,7 @@ More information needed
|
|
| 37 |
### Training hyperparameters
|
| 38 |
|
| 39 |
The following hyperparameters were used during training:
|
| 40 |
-
- learning_rate:
|
| 41 |
- train_batch_size: 32
|
| 42 |
- eval_batch_size: 8
|
| 43 |
- seed: 42
|
|
@@ -48,15 +47,34 @@ The following hyperparameters were used during training:
|
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
-
| Training Loss | Epoch | Step
|
| 52 |
-
|
| 53 |
-
| 2.
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
|
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
|
| 61 |
|
| 62 |
### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
|
|
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
| 6 |
- accuracy
|
|
|
|
| 14 |
|
| 15 |
# vit-base-clothing-leafs-example-full-simple
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.0454
|
| 20 |
+
- Accuracy: 0.7095
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 36 |
### Training hyperparameters
|
| 37 |
|
| 38 |
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 1e-05
|
| 40 |
- train_batch_size: 32
|
| 41 |
- eval_batch_size: 8
|
| 42 |
- seed: 42
|
|
|
|
| 47 |
|
| 48 |
### Training results
|
| 49 |
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
| 52 |
+
| 2.4732 | 0.14 | 1000 | 1.9312 | 0.5466 |
|
| 53 |
+
| 1.7297 | 0.28 | 2000 | 1.5575 | 0.6410 |
|
| 54 |
+
| 1.4684 | 0.41 | 3000 | 1.3885 | 0.6578 |
|
| 55 |
+
| 1.3161 | 0.55 | 4000 | 1.2847 | 0.6701 |
|
| 56 |
+
| 1.2652 | 0.69 | 5000 | 1.2144 | 0.6804 |
|
| 57 |
+
| 1.1962 | 0.83 | 6000 | 1.1739 | 0.6857 |
|
| 58 |
+
| 1.1536 | 0.97 | 7000 | 1.1354 | 0.6907 |
|
| 59 |
+
| 1.0931 | 1.11 | 8000 | 1.1160 | 0.6935 |
|
| 60 |
+
| 1.0486 | 1.24 | 9000 | 1.1065 | 0.6965 |
|
| 61 |
+
| 1.0242 | 1.38 | 10000 | 1.0801 | 0.6990 |
|
| 62 |
+
| 1.0203 | 1.52 | 11000 | 1.0678 | 0.7031 |
|
| 63 |
+
| 1.0079 | 1.66 | 12000 | 1.0624 | 0.7038 |
|
| 64 |
+
| 0.9962 | 1.8 | 13000 | 1.0550 | 0.7039 |
|
| 65 |
+
| 0.9975 | 1.94 | 14000 | 1.0496 | 0.7049 |
|
| 66 |
+
| 0.9572 | 2.07 | 15000 | 1.0451 | 0.7076 |
|
| 67 |
+
| 0.8944 | 2.21 | 16000 | 1.0498 | 0.7076 |
|
| 68 |
+
| 0.9027 | 2.35 | 17000 | 1.0397 | 0.7079 |
|
| 69 |
+
| 0.8806 | 2.49 | 18000 | 1.0354 | 0.7093 |
|
| 70 |
+
| 0.8968 | 2.63 | 19000 | 1.0362 | 0.7090 |
|
| 71 |
+
| 0.8895 | 2.77 | 20000 | 1.0286 | 0.7106 |
|
| 72 |
+
| 0.8764 | 2.9 | 21000 | 1.0267 | 0.7121 |
|
| 73 |
+
| 0.8495 | 3.04 | 22000 | 1.0354 | 0.7089 |
|
| 74 |
+
| 0.7935 | 3.18 | 23000 | 1.0451 | 0.7068 |
|
| 75 |
+
| 0.7876 | 3.32 | 24000 | 1.0456 | 0.7097 |
|
| 76 |
+
| 0.8093 | 3.46 | 25000 | 1.0435 | 0.7088 |
|
| 77 |
+
| 0.7977 | 3.6 | 26000 | 1.0454 | 0.7095 |
|
| 78 |
|
| 79 |
|
| 80 |
### Framework versions
|