Commit
•
a024413
1
Parent(s):
d641b57
Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,99 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-U5-40
|
| 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-U5-40
|
| 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: 0.0056
|
| 21 |
+
- Accuracy: 1.0
|
| 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 | 0.92 | 6 | 1.4236 | 0.3605 |
|
| 56 |
+
| 1.3165 | 2.0 | 13 | 1.1072 | 0.5306 |
|
| 57 |
+
| 1.3165 | 2.92 | 19 | 0.9370 | 0.6463 |
|
| 58 |
+
| 0.93 | 4.0 | 26 | 0.6870 | 0.7687 |
|
| 59 |
+
| 0.93 | 4.92 | 32 | 0.4743 | 0.8163 |
|
| 60 |
+
| 0.5368 | 6.0 | 39 | 0.2825 | 0.9184 |
|
| 61 |
+
| 0.5368 | 6.92 | 45 | 0.2066 | 0.9524 |
|
| 62 |
+
| 0.2989 | 8.0 | 52 | 0.1224 | 0.9728 |
|
| 63 |
+
| 0.2989 | 8.92 | 58 | 0.1453 | 0.9592 |
|
| 64 |
+
| 0.1746 | 10.0 | 65 | 0.0367 | 1.0 |
|
| 65 |
+
| 0.1746 | 10.92 | 71 | 0.0616 | 0.9864 |
|
| 66 |
+
| 0.1596 | 12.0 | 78 | 0.0234 | 1.0 |
|
| 67 |
+
| 0.1094 | 12.92 | 84 | 0.0298 | 1.0 |
|
| 68 |
+
| 0.1094 | 14.0 | 91 | 0.0444 | 0.9932 |
|
| 69 |
+
| 0.1123 | 14.92 | 97 | 0.0251 | 1.0 |
|
| 70 |
+
| 0.1123 | 16.0 | 104 | 0.0185 | 1.0 |
|
| 71 |
+
| 0.0761 | 16.92 | 110 | 0.0159 | 1.0 |
|
| 72 |
+
| 0.0761 | 18.0 | 117 | 0.0180 | 1.0 |
|
| 73 |
+
| 0.0743 | 18.92 | 123 | 0.0111 | 1.0 |
|
| 74 |
+
| 0.0743 | 20.0 | 130 | 0.0134 | 1.0 |
|
| 75 |
+
| 0.072 | 20.92 | 136 | 0.0123 | 1.0 |
|
| 76 |
+
| 0.072 | 22.0 | 143 | 0.0100 | 1.0 |
|
| 77 |
+
| 0.0744 | 22.92 | 149 | 0.0074 | 1.0 |
|
| 78 |
+
| 0.0688 | 24.0 | 156 | 0.0064 | 1.0 |
|
| 79 |
+
| 0.0688 | 24.92 | 162 | 0.0070 | 1.0 |
|
| 80 |
+
| 0.0737 | 26.0 | 169 | 0.0064 | 1.0 |
|
| 81 |
+
| 0.0737 | 26.92 | 175 | 0.0055 | 1.0 |
|
| 82 |
+
| 0.053 | 28.0 | 182 | 0.0075 | 1.0 |
|
| 83 |
+
| 0.053 | 28.92 | 188 | 0.0046 | 1.0 |
|
| 84 |
+
| 0.0677 | 30.0 | 195 | 0.0046 | 1.0 |
|
| 85 |
+
| 0.0677 | 30.92 | 201 | 0.0098 | 1.0 |
|
| 86 |
+
| 0.055 | 32.0 | 208 | 0.0085 | 1.0 |
|
| 87 |
+
| 0.055 | 32.92 | 214 | 0.0056 | 1.0 |
|
| 88 |
+
| 0.0576 | 34.0 | 221 | 0.0059 | 1.0 |
|
| 89 |
+
| 0.0576 | 34.92 | 227 | 0.0054 | 1.0 |
|
| 90 |
+
| 0.0697 | 36.0 | 234 | 0.0055 | 1.0 |
|
| 91 |
+
| 0.0415 | 36.92 | 240 | 0.0056 | 1.0 |
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
### Framework versions
|
| 95 |
+
|
| 96 |
+
- Transformers 4.38.2
|
| 97 |
+
- Pytorch 2.2.1+cu121
|
| 98 |
+
- Datasets 2.18.0
|
| 99 |
+
- Tokenizers 0.15.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343230128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:908b728dc5ccc9114e4eb97e2c16c4219b9a8df9323e4cc43adcda076581cc7b
|
| 3 |
size 343230128
|
runs/Apr01_23-07-37_e71c489085e0/events.out.tfevents.1712012924.e71c489085e0.1159.0
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:faaca02ae035392e548ab8d16093ea11ad2db84dea1d5ec5c8e81c4b0bb73323
|
| 3 |
+
size 21084
|