Commit
•
ca5cfe6
1
Parent(s):
1fffeec
Model save
Browse files- README.md +98 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: microsoft/swinv2-large-patch4-window12-192-22k
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
- precision
|
| 9 |
+
- recall
|
| 10 |
+
- f1
|
| 11 |
+
model-index:
|
| 12 |
+
- name: swinv2-large-patch4-window12-192-22k-finetuned-galaxy10-decals
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# swinv2-large-patch4-window12-192-22k-finetuned-galaxy10-decals
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on an unknown dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.6773
|
| 24 |
+
- Accuracy: 0.8467
|
| 25 |
+
- Precision: 0.8440
|
| 26 |
+
- Recall: 0.8467
|
| 27 |
+
- F1: 0.8449
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 5e-05
|
| 47 |
+
- train_batch_size: 64
|
| 48 |
+
- eval_batch_size: 64
|
| 49 |
+
- seed: 42
|
| 50 |
+
- gradient_accumulation_steps: 4
|
| 51 |
+
- total_train_batch_size: 256
|
| 52 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
+
- lr_scheduler_type: linear
|
| 54 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 55 |
+
- num_epochs: 30
|
| 56 |
+
|
| 57 |
+
### Training results
|
| 58 |
+
|
| 59 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|
| 60 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
|
| 61 |
+
| 0.974 | 0.99 | 62 | 0.7350 | 0.7480 | 0.7464 | 0.7480 | 0.7365 |
|
| 62 |
+
| 0.7716 | 2.0 | 125 | 0.6093 | 0.7982 | 0.8102 | 0.7982 | 0.7960 |
|
| 63 |
+
| 0.6813 | 2.99 | 187 | 0.5034 | 0.8286 | 0.8301 | 0.8286 | 0.8254 |
|
| 64 |
+
| 0.5998 | 4.0 | 250 | 0.4645 | 0.8433 | 0.8431 | 0.8433 | 0.8403 |
|
| 65 |
+
| 0.5306 | 4.99 | 312 | 0.4889 | 0.8320 | 0.8377 | 0.8320 | 0.8336 |
|
| 66 |
+
| 0.5234 | 6.0 | 375 | 0.5036 | 0.8309 | 0.8398 | 0.8309 | 0.8278 |
|
| 67 |
+
| 0.4984 | 6.99 | 437 | 0.4482 | 0.8478 | 0.8484 | 0.8478 | 0.8461 |
|
| 68 |
+
| 0.456 | 8.0 | 500 | 0.4370 | 0.8557 | 0.8573 | 0.8557 | 0.8557 |
|
| 69 |
+
| 0.4672 | 8.99 | 562 | 0.4372 | 0.8568 | 0.8575 | 0.8568 | 0.8550 |
|
| 70 |
+
| 0.4211 | 10.0 | 625 | 0.4428 | 0.8523 | 0.8513 | 0.8523 | 0.8505 |
|
| 71 |
+
| 0.4228 | 10.99 | 687 | 0.4762 | 0.8433 | 0.8459 | 0.8433 | 0.8435 |
|
| 72 |
+
| 0.3966 | 12.0 | 750 | 0.4943 | 0.8410 | 0.8434 | 0.8410 | 0.8404 |
|
| 73 |
+
| 0.383 | 12.99 | 812 | 0.4885 | 0.8478 | 0.8503 | 0.8478 | 0.8463 |
|
| 74 |
+
| 0.3899 | 14.0 | 875 | 0.5021 | 0.8472 | 0.8494 | 0.8472 | 0.8474 |
|
| 75 |
+
| 0.3364 | 14.99 | 937 | 0.5107 | 0.8495 | 0.8488 | 0.8495 | 0.8486 |
|
| 76 |
+
| 0.331 | 16.0 | 1000 | 0.5219 | 0.8484 | 0.8460 | 0.8484 | 0.8454 |
|
| 77 |
+
| 0.288 | 16.99 | 1062 | 0.5696 | 0.8422 | 0.8429 | 0.8422 | 0.8410 |
|
| 78 |
+
| 0.2867 | 18.0 | 1125 | 0.5529 | 0.8484 | 0.8474 | 0.8484 | 0.8473 |
|
| 79 |
+
| 0.2889 | 18.99 | 1187 | 0.5613 | 0.8529 | 0.8522 | 0.8529 | 0.8520 |
|
| 80 |
+
| 0.2809 | 20.0 | 1250 | 0.6093 | 0.8433 | 0.8378 | 0.8433 | 0.8391 |
|
| 81 |
+
| 0.2684 | 20.99 | 1312 | 0.6096 | 0.8444 | 0.8409 | 0.8444 | 0.8419 |
|
| 82 |
+
| 0.2809 | 22.0 | 1375 | 0.6100 | 0.8455 | 0.8453 | 0.8455 | 0.8445 |
|
| 83 |
+
| 0.2661 | 22.99 | 1437 | 0.6161 | 0.8354 | 0.8378 | 0.8354 | 0.8359 |
|
| 84 |
+
| 0.2435 | 24.0 | 1500 | 0.6540 | 0.8517 | 0.8512 | 0.8517 | 0.8512 |
|
| 85 |
+
| 0.2593 | 24.99 | 1562 | 0.6644 | 0.8472 | 0.8462 | 0.8472 | 0.8456 |
|
| 86 |
+
| 0.2343 | 26.0 | 1625 | 0.6655 | 0.8467 | 0.8441 | 0.8467 | 0.8449 |
|
| 87 |
+
| 0.2281 | 26.99 | 1687 | 0.6759 | 0.8450 | 0.8438 | 0.8450 | 0.8440 |
|
| 88 |
+
| 0.2334 | 28.0 | 1750 | 0.6836 | 0.8472 | 0.8445 | 0.8472 | 0.8451 |
|
| 89 |
+
| 0.2129 | 28.99 | 1812 | 0.6731 | 0.8489 | 0.8466 | 0.8489 | 0.8471 |
|
| 90 |
+
| 0.2252 | 29.76 | 1860 | 0.6773 | 0.8467 | 0.8440 | 0.8467 | 0.8449 |
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
### Framework versions
|
| 94 |
+
|
| 95 |
+
- Transformers 4.37.2
|
| 96 |
+
- Pytorch 2.3.0
|
| 97 |
+
- Datasets 2.19.1
|
| 98 |
+
- Tokenizers 0.15.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 780935472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30adcefddef03b91ad40821f986fdc6a7165cbc8b182d58503a7a8b4992d2bb0
|
| 3 |
size 780935472
|