Hugging Face's logo

LuGot16
/
spermatogenesis-classifier-v2

Image Classification
Transformers
TensorBoard
Safetensors
dinov2
Generated from Trainer
Model card Files
xet
 Metrics Community
LuGot16 commited on
Commit
cc128be
·
verified ·
1 Parent(s): 2aee545

v2: acc=0.8506, f1=0.8497 (fresh DINOv2-base, augmented, updated dataset)

Browse files
Files changed (4) hide show
  1. README.md +82 -0
  2. eval_results.json +14 -0
  3. model.safetensors +1 -1
  4. runs/Apr25_02-23-36_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777091657.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.1408.1 +3 -0
README.md ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/dinov2-base
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ - f1
10
+ model-index:
11
+ - name: spermatogenesis-classifier-v2
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # spermatogenesis-classifier-v2
19
+
20
+ This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 0.4213
23
+ - Accuracy: 0.8506
24
+ - F1: 0.8497
25
+ - Acc I-iv: 0.6970
26
+ - Acc Ix-x: 0.8571
27
+ - Acc V-vi: 0.8571
28
+ - Acc Vii-vii: 0.9574
29
+ - Acc Xi- xii: 0.8387
30
+
31
+ ## Model description
32
+
33
+ More information needed
34
+
35
+ ## Intended uses & limitations
36
+
37
+ More information needed
38
+
39
+ ## Training and evaluation data
40
+
41
+ More information needed
42
+
43
+ ## Training procedure
44
+
45
+ ### Training hyperparameters
46
+
47
+ The following hyperparameters were used during training:
48
+ - learning_rate: 2e-05
49
+ - train_batch_size: 16
50
+ - eval_batch_size: 16
51
+ - seed: 42
52
+ - gradient_accumulation_steps: 2
53
+ - total_train_batch_size: 32
54
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
55
+ - lr_scheduler_type: cosine
56
+ - lr_scheduler_warmup_steps: 50
57
+ - num_epochs: 30
58
+
59
+ ### Training results
60
+
61
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Acc I-iv | Acc Ix-x | Acc V-vi | Acc Vii-vii | Acc Xi- xii |
62
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:--------:|:--------:|:-----------:|:-----------:|
63
+ | 0.9761 | 1.0 | 25 | 1.0469 | 0.5977 | 0.5529 | 0.3030 | 0.0476 | 0.8571 | 0.9787 | 0.3548 |
64
+ | 0.8169 | 2.0 | 50 | 0.8854 | 0.6839 | 0.6571 | 0.2424 | 0.9048 | 0.8810 | 0.8936 | 0.4194 |
65
+ | 0.6579 | 3.0 | 75 | 0.9098 | 0.6782 | 0.6655 | 0.2727 | 0.9048 | 0.9762 | 0.6809 | 0.5484 |
66
+ | 0.3899 | 4.0 | 100 | 0.5647 | 0.7874 | 0.7882 | 0.6364 | 0.9048 | 0.7857 | 0.8936 | 0.7097 |
67
+ | 0.5074 | 5.0 | 125 | 1.0395 | 0.6609 | 0.6200 | 0.0909 | 1.0 | 0.9762 | 0.7447 | 0.4839 |
68
+ | 0.4786 | 6.0 | 150 | 0.5871 | 0.7816 | 0.7842 | 0.6364 | 0.9048 | 0.8333 | 0.8298 | 0.7097 |
69
+ | 0.3498 | 7.0 | 175 | 0.8465 | 0.6897 | 0.6908 | 0.7576 | 0.8095 | 0.5476 | 0.5745 | 0.9032 |
70
+ | 0.3699 | 8.0 | 200 | 0.4213 | 0.8506 | 0.8497 | 0.6970 | 0.8571 | 0.8571 | 0.9574 | 0.8387 |
71
+ | 0.5555 | 9.0 | 225 | 0.5174 | 0.7874 | 0.7892 | 0.6667 | 0.8571 | 0.8333 | 0.8298 | 0.7419 |
72
+ | 0.2530 | 10.0 | 250 | 0.7004 | 0.7989 | 0.7994 | 0.7576 | 0.8571 | 0.7857 | 0.9362 | 0.6129 |
73
+ | 0.2849 | 11.0 | 275 | 0.5274 | 0.8103 | 0.8078 | 0.6061 | 0.8095 | 0.9286 | 0.9149 | 0.7097 |
74
+ | 0.1722 | 12.0 | 300 | 0.5315 | 0.7931 | 0.7934 | 0.7879 | 0.8571 | 0.5714 | 0.9362 | 0.8387 |
75
+ | 0.1955 | 13.0 | 325 | 0.9076 | 0.7644 | 0.7517 | 0.4545 | 0.8571 | 0.9048 | 0.9787 | 0.5161 |
76
+
77
+
78
+ ### Framework versions
79
+
80
+ - Transformers 5.6.2
81
+ - Pytorch 2.11.0+cu130
82
+ - Tokenizers 0.22.2
eval_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "eval_loss": 0.42126893997192383,
3
+ "eval_accuracy": 0.8505747126436781,
4
+ "eval_f1": 0.8497133253105775,
5
+ "eval_acc_I-IV": 0.696969696969697,
6
+ "eval_acc_IX-X": 0.8571428571428571,
7
+ "eval_acc_V-VI": 0.8571428571428571,
8
+ "eval_acc_VII-VII": 0.9574468085106383,
9
+ "eval_acc_XI- XII": 0.8387096774193549,
10
+ "eval_runtime": 42.2949,
11
+ "eval_samples_per_second": 4.114,
12
+ "eval_steps_per_second": 0.26,
13
+ "epoch": 13.0
14
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:041a71284b073e8181c518ecf99096447a12ce8a1592444c630aa782f7251f68
3
  size 346378372
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d11fa22c9b0fb3fb2169efd00053dc083788c0f4b4eeefb9e2e7d56a02b6212
3
  size 346378372
runs/Apr25_02-23-36_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777091657.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.1408.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ed6eabfaa52077c2b2abe16bcd15fc9e3286ab480c8db3b59266b7e5de7805e
3
+ size 723