Commit
•
d3b54af
1
Parent(s):
65ffd98
Model save
Browse files- README.md +100 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,100 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google/vit-base-patch16-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: vit-base-patch16-224-dmae-va-da2-40
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# vit-base-patch16-224-dmae-va-da2-40
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.1163
|
| 21 |
+
- Accuracy: 0.9483
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 128
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- num_epochs: 40
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 55 |
+
| No log | 0.94 | 4 | 1.2931 | 0.4310 |
|
| 56 |
+
| No log | 1.88 | 8 | 1.2024 | 0.5517 |
|
| 57 |
+
| 1.2651 | 2.82 | 12 | 0.9896 | 0.6552 |
|
| 58 |
+
| 1.2651 | 4.0 | 17 | 0.7972 | 0.7241 |
|
| 59 |
+
| 1.2651 | 4.94 | 21 | 0.7336 | 0.6552 |
|
| 60 |
+
| 0.7523 | 5.88 | 25 | 0.5781 | 0.8103 |
|
| 61 |
+
| 0.7523 | 6.82 | 29 | 0.4912 | 0.8793 |
|
| 62 |
+
| 0.7523 | 8.0 | 34 | 0.4112 | 0.9138 |
|
| 63 |
+
| 0.4209 | 8.94 | 38 | 0.3383 | 0.9138 |
|
| 64 |
+
| 0.4209 | 9.88 | 42 | 0.3129 | 0.9483 |
|
| 65 |
+
| 0.4209 | 10.82 | 46 | 0.2660 | 0.9655 |
|
| 66 |
+
| 0.2647 | 12.0 | 51 | 0.3184 | 0.9310 |
|
| 67 |
+
| 0.2647 | 12.94 | 55 | 0.2871 | 0.9310 |
|
| 68 |
+
| 0.2647 | 13.88 | 59 | 0.2766 | 0.9138 |
|
| 69 |
+
| 0.1743 | 14.82 | 63 | 0.2727 | 0.8966 |
|
| 70 |
+
| 0.1743 | 16.0 | 68 | 0.2282 | 0.9310 |
|
| 71 |
+
| 0.1511 | 16.94 | 72 | 0.2892 | 0.8966 |
|
| 72 |
+
| 0.1511 | 17.88 | 76 | 0.2482 | 0.8966 |
|
| 73 |
+
| 0.1511 | 18.82 | 80 | 0.2363 | 0.9310 |
|
| 74 |
+
| 0.1253 | 20.0 | 85 | 0.1622 | 0.9483 |
|
| 75 |
+
| 0.1253 | 20.94 | 89 | 0.1753 | 0.9483 |
|
| 76 |
+
| 0.1253 | 21.88 | 93 | 0.1593 | 0.9655 |
|
| 77 |
+
| 0.087 | 22.82 | 97 | 0.1334 | 0.9483 |
|
| 78 |
+
| 0.087 | 24.0 | 102 | 0.1088 | 0.9483 |
|
| 79 |
+
| 0.087 | 24.94 | 106 | 0.1130 | 0.9483 |
|
| 80 |
+
| 0.0856 | 25.88 | 110 | 0.1459 | 0.9138 |
|
| 81 |
+
| 0.0856 | 26.82 | 114 | 0.1445 | 0.9655 |
|
| 82 |
+
| 0.0856 | 28.0 | 119 | 0.1234 | 0.9655 |
|
| 83 |
+
| 0.081 | 28.94 | 123 | 0.1224 | 0.9483 |
|
| 84 |
+
| 0.081 | 29.88 | 127 | 0.1303 | 0.9483 |
|
| 85 |
+
| 0.081 | 30.82 | 131 | 0.1372 | 0.9483 |
|
| 86 |
+
| 0.0554 | 32.0 | 136 | 0.1421 | 0.9483 |
|
| 87 |
+
| 0.0554 | 32.94 | 140 | 0.1307 | 0.9483 |
|
| 88 |
+
| 0.0783 | 33.88 | 144 | 0.1244 | 0.9483 |
|
| 89 |
+
| 0.0783 | 34.82 | 148 | 0.1195 | 0.9483 |
|
| 90 |
+
| 0.0783 | 36.0 | 153 | 0.1171 | 0.9483 |
|
| 91 |
+
| 0.0646 | 36.94 | 157 | 0.1165 | 0.9483 |
|
| 92 |
+
| 0.0646 | 37.65 | 160 | 0.1163 | 0.9483 |
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
### Framework versions
|
| 96 |
+
|
| 97 |
+
- Transformers 4.34.1
|
| 98 |
+
- Pytorch 2.1.0+cu118
|
| 99 |
+
- Datasets 2.14.5
|
| 100 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343275306
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d035330f26f929e948a993d7544e94d168b50b3ad9eccac8f050e4f8c5f130a
|
| 3 |
size 343275306
|