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: facebook/dinov2-small
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
- precision
|
| 9 |
+
- recall
|
| 10 |
+
- f1
|
| 11 |
+
model-index:
|
| 12 |
+
- name: dinov2-small-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 |
+
# dinov2-small-finetuned-galaxy10-decals
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.4772
|
| 24 |
+
- Accuracy: 0.8585
|
| 25 |
+
- Precision: 0.8580
|
| 26 |
+
- Recall: 0.8585
|
| 27 |
+
- F1: 0.8577
|
| 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: 128
|
| 48 |
+
- eval_batch_size: 128
|
| 49 |
+
- seed: 42
|
| 50 |
+
- gradient_accumulation_steps: 4
|
| 51 |
+
- total_train_batch_size: 512
|
| 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 |
+
| 1.279 | 0.99 | 31 | 0.9926 | 0.6454 | 0.6589 | 0.6454 | 0.6242 |
|
| 62 |
+
| 0.8187 | 1.98 | 62 | 0.6014 | 0.7948 | 0.8151 | 0.7948 | 0.7948 |
|
| 63 |
+
| 0.77 | 2.98 | 93 | 0.6323 | 0.7818 | 0.7928 | 0.7818 | 0.7777 |
|
| 64 |
+
| 0.6743 | 4.0 | 125 | 0.5555 | 0.8140 | 0.8149 | 0.8140 | 0.8083 |
|
| 65 |
+
| 0.6407 | 4.99 | 156 | 0.5732 | 0.8078 | 0.8174 | 0.8078 | 0.8096 |
|
| 66 |
+
| 0.64 | 5.98 | 187 | 0.4912 | 0.8360 | 0.8344 | 0.8360 | 0.8321 |
|
| 67 |
+
| 0.5685 | 6.98 | 218 | 0.5089 | 0.8185 | 0.8195 | 0.8185 | 0.8163 |
|
| 68 |
+
| 0.5438 | 8.0 | 250 | 0.4806 | 0.8320 | 0.8325 | 0.8320 | 0.8293 |
|
| 69 |
+
| 0.5455 | 8.99 | 281 | 0.4781 | 0.8410 | 0.8442 | 0.8410 | 0.8406 |
|
| 70 |
+
| 0.5002 | 9.98 | 312 | 0.4403 | 0.8478 | 0.8457 | 0.8478 | 0.8452 |
|
| 71 |
+
| 0.5003 | 10.98 | 343 | 0.5079 | 0.8151 | 0.8355 | 0.8151 | 0.8156 |
|
| 72 |
+
| 0.4828 | 12.0 | 375 | 0.5307 | 0.8191 | 0.8197 | 0.8191 | 0.8147 |
|
| 73 |
+
| 0.4674 | 12.99 | 406 | 0.4732 | 0.8444 | 0.8450 | 0.8444 | 0.8431 |
|
| 74 |
+
| 0.4646 | 13.98 | 437 | 0.4952 | 0.8281 | 0.8342 | 0.8281 | 0.8251 |
|
| 75 |
+
| 0.4477 | 14.98 | 468 | 0.4607 | 0.8523 | 0.8516 | 0.8523 | 0.8514 |
|
| 76 |
+
| 0.4224 | 16.0 | 500 | 0.4514 | 0.8506 | 0.8516 | 0.8506 | 0.8495 |
|
| 77 |
+
| 0.3751 | 16.99 | 531 | 0.4665 | 0.8484 | 0.8480 | 0.8484 | 0.8472 |
|
| 78 |
+
| 0.3874 | 17.98 | 562 | 0.4462 | 0.8489 | 0.8489 | 0.8489 | 0.8477 |
|
| 79 |
+
| 0.3675 | 18.98 | 593 | 0.4674 | 0.8484 | 0.8508 | 0.8484 | 0.8471 |
|
| 80 |
+
| 0.3434 | 20.0 | 625 | 0.4644 | 0.8512 | 0.8486 | 0.8512 | 0.8462 |
|
| 81 |
+
| 0.3332 | 20.99 | 656 | 0.4711 | 0.8557 | 0.8548 | 0.8557 | 0.8525 |
|
| 82 |
+
| 0.3187 | 21.98 | 687 | 0.4665 | 0.8534 | 0.8539 | 0.8534 | 0.8524 |
|
| 83 |
+
| 0.3039 | 22.98 | 718 | 0.5015 | 0.8439 | 0.8427 | 0.8439 | 0.8423 |
|
| 84 |
+
| 0.282 | 24.0 | 750 | 0.4783 | 0.8563 | 0.8563 | 0.8563 | 0.8559 |
|
| 85 |
+
| 0.2843 | 24.99 | 781 | 0.5064 | 0.8534 | 0.8519 | 0.8534 | 0.8514 |
|
| 86 |
+
| 0.2661 | 25.98 | 812 | 0.5021 | 0.8484 | 0.8476 | 0.8484 | 0.8460 |
|
| 87 |
+
| 0.2595 | 26.98 | 843 | 0.4852 | 0.8613 | 0.8626 | 0.8613 | 0.8615 |
|
| 88 |
+
| 0.2442 | 28.0 | 875 | 0.4903 | 0.8568 | 0.8546 | 0.8568 | 0.8543 |
|
| 89 |
+
| 0.2477 | 28.99 | 906 | 0.4781 | 0.8585 | 0.8569 | 0.8585 | 0.8570 |
|
| 90 |
+
| 0.2437 | 29.76 | 930 | 0.4772 | 0.8585 | 0.8580 | 0.8585 | 0.8577 |
|
| 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 88282440
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15b6e8adfdef483ea29d55c73af1d8f10a2c0a25fc75a8c6800196b9266f6378
|
| 3 |
size 88282440
|