Commit
•
bda67d6
1
Parent(s):
218bd75
Model save
Browse files
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-U5-42D
|
| 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-U5-42D
|
| 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: 1.3051
|
| 21 |
+
- Accuracy: 0.5
|
| 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: 0.003
|
| 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: 42
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 55 |
+
| No log | 0.9 | 7 | 1.0970 | 0.5167 |
|
| 56 |
+
| 1.3527 | 1.94 | 15 | 1.0383 | 0.55 |
|
| 57 |
+
| 1.3527 | 2.97 | 23 | 1.2351 | 0.4167 |
|
| 58 |
+
| 1.3013 | 4.0 | 31 | 1.3025 | 0.3333 |
|
| 59 |
+
| 1.3706 | 4.9 | 38 | 1.3800 | 0.2167 |
|
| 60 |
+
| 1.3706 | 5.94 | 46 | 1.4609 | 0.1833 |
|
| 61 |
+
| 1.4415 | 6.97 | 54 | 1.3718 | 0.4333 |
|
| 62 |
+
| 1.3602 | 8.0 | 62 | 1.3173 | 0.3167 |
|
| 63 |
+
| 1.3602 | 8.9 | 69 | 1.2827 | 0.4 |
|
| 64 |
+
| 1.3079 | 9.94 | 77 | 1.3167 | 0.3167 |
|
| 65 |
+
| 1.3247 | 10.97 | 85 | 1.2579 | 0.4 |
|
| 66 |
+
| 1.3247 | 12.0 | 93 | 1.3202 | 0.2 |
|
| 67 |
+
| 1.3102 | 12.9 | 100 | 1.2354 | 0.45 |
|
| 68 |
+
| 1.2807 | 13.94 | 108 | 1.3610 | 0.25 |
|
| 69 |
+
| 1.2807 | 14.97 | 116 | 1.2803 | 0.4 |
|
| 70 |
+
| 1.2774 | 16.0 | 124 | 1.3338 | 0.2167 |
|
| 71 |
+
| 1.2774 | 16.9 | 131 | 1.2549 | 0.35 |
|
| 72 |
+
| 1.2596 | 17.94 | 139 | 1.2693 | 0.3667 |
|
| 73 |
+
| 1.2413 | 18.97 | 147 | 1.3005 | 0.2167 |
|
| 74 |
+
| 1.2413 | 20.0 | 155 | 1.2299 | 0.4333 |
|
| 75 |
+
| 1.262 | 20.9 | 162 | 1.3454 | 0.2667 |
|
| 76 |
+
| 1.2261 | 21.94 | 170 | 1.2818 | 0.3167 |
|
| 77 |
+
| 1.2261 | 22.97 | 178 | 1.2498 | 0.4333 |
|
| 78 |
+
| 1.2405 | 24.0 | 186 | 1.3376 | 0.3167 |
|
| 79 |
+
| 1.2245 | 24.9 | 193 | 1.2595 | 0.3667 |
|
| 80 |
+
| 1.2245 | 25.94 | 201 | 1.3319 | 0.4 |
|
| 81 |
+
| 1.2034 | 26.97 | 209 | 1.2528 | 0.3833 |
|
| 82 |
+
| 1.1818 | 28.0 | 217 | 1.3656 | 0.3667 |
|
| 83 |
+
| 1.1818 | 28.9 | 224 | 1.2501 | 0.3833 |
|
| 84 |
+
| 1.1479 | 29.94 | 232 | 1.3241 | 0.3 |
|
| 85 |
+
| 1.1193 | 30.97 | 240 | 1.3803 | 0.3667 |
|
| 86 |
+
| 1.1193 | 32.0 | 248 | 1.2294 | 0.4167 |
|
| 87 |
+
| 1.1071 | 32.9 | 255 | 1.4134 | 0.5 |
|
| 88 |
+
| 1.1071 | 33.94 | 263 | 1.4123 | 0.3667 |
|
| 89 |
+
| 1.0429 | 34.97 | 271 | 1.2184 | 0.5 |
|
| 90 |
+
| 1.0528 | 36.0 | 279 | 1.3100 | 0.45 |
|
| 91 |
+
| 1.0528 | 36.9 | 286 | 1.3249 | 0.3833 |
|
| 92 |
+
| 1.0055 | 37.94 | 294 | 1.3051 | 0.5 |
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
### Framework versions
|
| 96 |
+
|
| 97 |
+
- Transformers 4.38.2
|
| 98 |
+
- Pytorch 2.2.1+cu121
|
| 99 |
+
- Datasets 2.18.0
|
| 100 |
+
- 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:a14e7074fa28ec7d2fb6521168a261c361b28027a24e21233f753f059222954f
|
| 3 |
size 343230128
|
runs/Apr19_02-50-17_60db23225263/events.out.tfevents.1713495058.60db23225263.1082.0
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 sha256:3c85ab3285fbe9c630c3198f8ad0e48639eb8ba8eec6f9a49c27b017ec3fda21
|
| 3 |
+
size 22272
|