Commit
•
642b837
1
Parent(s):
0e91ae6
Model save
Browse files
README.md
CHANGED
|
@@ -2,7 +2,6 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: google/vit-base-patch16-224-in21k
|
| 4 |
tags:
|
| 5 |
-
- image-classification
|
| 6 |
- generated_from_trainer
|
| 7 |
datasets:
|
| 8 |
- imagefolder
|
|
@@ -15,7 +14,7 @@ model-index:
|
|
| 15 |
name: Image Classification
|
| 16 |
type: image-classification
|
| 17 |
dataset:
|
| 18 |
-
name:
|
| 19 |
type: imagefolder
|
| 20 |
config: default
|
| 21 |
split: validation
|
|
@@ -23,7 +22,7 @@ model-index:
|
|
| 23 |
metrics:
|
| 24 |
- name: Accuracy
|
| 25 |
type: accuracy
|
| 26 |
-
value: 0.
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 31 |
|
| 32 |
# vit-base-food-items-v1
|
| 33 |
|
| 34 |
-
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
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
-
- Loss: 0.
|
| 37 |
-
- Accuracy: 0.
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
|
@@ -66,12 +65,12 @@ The following hyperparameters were used during training:
|
|
| 66 |
|
| 67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 68 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
|
| 76 |
|
| 77 |
### Framework versions
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: google/vit-base-patch16-224-in21k
|
| 4 |
tags:
|
|
|
|
| 5 |
- generated_from_trainer
|
| 6 |
datasets:
|
| 7 |
- imagefolder
|
|
|
|
| 14 |
name: Image Classification
|
| 15 |
type: image-classification
|
| 16 |
dataset:
|
| 17 |
+
name: imagefolder
|
| 18 |
type: imagefolder
|
| 19 |
config: default
|
| 20 |
split: validation
|
|
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
+
value: 0.9018181818181819
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 30 |
|
| 31 |
# vit-base-food-items-v1
|
| 32 |
|
| 33 |
+
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 imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.4941
|
| 36 |
+
- Accuracy: 0.9018
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 65 |
|
| 66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 67 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 68 |
+
| 0.1773 | 0.6579 | 100 | 0.7280 | 0.8473 |
|
| 69 |
+
| 0.0589 | 1.3158 | 200 | 0.5529 | 0.8873 |
|
| 70 |
+
| 0.043 | 1.9737 | 300 | 0.4524 | 0.9091 |
|
| 71 |
+
| 0.0022 | 2.6316 | 400 | 0.5150 | 0.8909 |
|
| 72 |
+
| 0.0018 | 3.2895 | 500 | 0.4925 | 0.9018 |
|
| 73 |
+
| 0.0017 | 3.9474 | 600 | 0.4941 | 0.9018 |
|
| 74 |
|
| 75 |
|
| 76 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343251660
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0226f286a09eafff4375d4476ea2dc6e8c4acb05a3d3faf7245ba33aeec7a162
|
| 3 |
size 343251660
|
runs/Jul17_09-32-17_405903fcfe02/events.out.tfevents.1721208742.405903fcfe02.739.3
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e805da903e126b6ec3690435787c42a18e292e6141c5c09a3e1d46ec66317c9
|
| 3 |
+
size 20190
|