Commit
·
e294472
1
Parent(s):
900d962
Add evaluation results and output files to model card
Browse files- README.md +36 -0
- checkpoint-140/config.json +24 -0
- checkpoint-140/model.safetensors +3 -0
- checkpoint-140/optimizer.pt +3 -0
- checkpoint-140/preprocessor_config.json +23 -0
- checkpoint-140/rng_state.pth +3 -0
- checkpoint-140/scaler.pt +3 -0
- checkpoint-140/scheduler.pt +3 -0
- checkpoint-140/trainer_state.json +896 -0
- checkpoint-140/training_args.bin +3 -0
- checkpoint-60/config.json +24 -0
- checkpoint-60/model.safetensors +3 -0
- checkpoint-60/optimizer.pt +3 -0
- checkpoint-60/preprocessor_config.json +23 -0
- checkpoint-60/rng_state.pth +3 -0
- checkpoint-60/scaler.pt +3 -0
- checkpoint-60/scheduler.pt +3 -0
- checkpoint-60/trainer_state.json +414 -0
- checkpoint-60/training_args.bin +3 -0
- config.json +24 -0
- model.safetensors +3 -0
- pr_curve.png +0 -0
- preprocessor_config.json +23 -0
- roc_curve.png +0 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language: code
|
3 |
+
tags:
|
4 |
+
- binary-classification
|
5 |
+
- model
|
6 |
+
- evaluation
|
7 |
+
metrics:
|
8 |
+
- average_precision: 0.94
|
9 |
+
- roc_auc: 0.77
|
10 |
+
- best threshold according to F1: 0.35
|
11 |
+
---
|
12 |
+
|
13 |
+
# Binary Classification Model
|
14 |
+
|
15 |
+
## Evaluation Results
|
16 |
+
|
17 |
+
**Average Precision:** 0.94
|
18 |
+
**ROC AUC:** 0.77
|
19 |
+
**best threshold according to F1: 0.35
|
20 |
+
|
21 |
+
|
22 |
+
## Visualizations
|
23 |
+
|
24 |
+
### Precision-Recall Curve
|
25 |
+

|
26 |
+
|
27 |
+
### ROC Curve
|
28 |
+

|
29 |
+
|
30 |
+
## Output Files and Directories
|
31 |
+
|
32 |
+
- 📂 `checkpoint-171/`
|
33 |
+
- `config.json`
|
34 |
+
- `model.safetensors`
|
35 |
+
- `preprocessor_config.json`
|
36 |
+
- `training_args.bin`
|
checkpoint-140/config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 1024,
|
11 |
+
"image_size": 256,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 4096,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"model_type": "vit",
|
16 |
+
"num_attention_heads": 16,
|
17 |
+
"num_channels": 3,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"patch_size": 16,
|
20 |
+
"problem_type": "single_label_classification",
|
21 |
+
"qkv_bias": true,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.49.0"
|
24 |
+
}
|
checkpoint-140/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:411bc377ee23010cd104a7db7aa3b35593fbc4aec8b99a0de7cf6d3aebe2e6d5
|
3 |
+
size 1213507024
|
checkpoint-140/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fdb21d4fe924730bbaf2207322d323e644de556d92c10b5d68d054ca74f42ee3
|
3 |
+
size 2427249066
|
checkpoint-140/preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": false,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
11 |
+
"image_processor_type": "ViTFeatureExtractor",
|
12 |
+
"image_std": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 224,
|
21 |
+
"width": 224
|
22 |
+
}
|
23 |
+
}
|
checkpoint-140/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f2f115a5be9979771da3a2b09f730d7ed2191451f3782c4df1f5bc84d6de6f11
|
3 |
+
size 14244
|
checkpoint-140/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7049f1e74bf3476ebf57f8bbfe08ec3a0311fb5d49b48b0e4a8fd2c8f05762f
|
3 |
+
size 988
|
checkpoint-140/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:66c6a214ae787ddac4978d5c5b90944353a182391d33432e9f22fb5f397b5439
|
3 |
+
size 1064
|
checkpoint-140/trainer_state.json
ADDED
@@ -0,0 +1,896 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9830508474576272,
|
3 |
+
"best_model_checkpoint": "/tmp/logs/GenetikaPlus/clf_soma_model_v1.0.1/checkpoint-60",
|
4 |
+
"epoch": 35.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 140,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.2857142857142857,
|
13 |
+
"grad_norm": 3.202357053756714,
|
14 |
+
"learning_rate": 8.333333333333333e-05,
|
15 |
+
"loss": 0.6786,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.8571428571428571,
|
20 |
+
"grad_norm": 4.824620246887207,
|
21 |
+
"learning_rate": 0.00025,
|
22 |
+
"loss": 0.7317,
|
23 |
+
"step": 3
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"eval_accuracy": 0.9577464788732394,
|
28 |
+
"eval_best_threshold": 0.3037576377391815,
|
29 |
+
"eval_f1": 0.9783132530120482,
|
30 |
+
"eval_loss": 0.6482536792755127,
|
31 |
+
"eval_pr_auc": 0.9798696623714835,
|
32 |
+
"eval_precision": 0.9575471698113207,
|
33 |
+
"eval_recall": 1.0,
|
34 |
+
"eval_roc_auc": 0.7300492610837439,
|
35 |
+
"eval_runtime": 3.6503,
|
36 |
+
"eval_samples_per_second": 58.351,
|
37 |
+
"eval_steps_per_second": 1.096,
|
38 |
+
"step": 4
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.5714285714285714,
|
42 |
+
"grad_norm": 8.443906784057617,
|
43 |
+
"learning_rate": 0.0005,
|
44 |
+
"loss": 0.9287,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 2.0,
|
49 |
+
"eval_accuracy": 0.9577464788732394,
|
50 |
+
"eval_best_threshold": 0.09376094490289688,
|
51 |
+
"eval_f1": 0.9783132530120482,
|
52 |
+
"eval_loss": 1.2041555643081665,
|
53 |
+
"eval_pr_auc": 0.9823049604214897,
|
54 |
+
"eval_precision": 0.9575471698113207,
|
55 |
+
"eval_recall": 1.0,
|
56 |
+
"eval_roc_auc": 0.7192118226600985,
|
57 |
+
"eval_runtime": 3.8529,
|
58 |
+
"eval_samples_per_second": 55.283,
|
59 |
+
"eval_steps_per_second": 1.038,
|
60 |
+
"step": 8
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 2.2857142857142856,
|
64 |
+
"grad_norm": 7.837808609008789,
|
65 |
+
"learning_rate": 0.0004999685319184688,
|
66 |
+
"loss": 1.0591,
|
67 |
+
"step": 9
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 3.0,
|
71 |
+
"grad_norm": 0.33617040514945984,
|
72 |
+
"learning_rate": 0.0004998741355957963,
|
73 |
+
"loss": 0.6429,
|
74 |
+
"step": 12
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.0,
|
78 |
+
"eval_accuracy": 0.9530516431924883,
|
79 |
+
"eval_best_threshold": 0.11066323518753052,
|
80 |
+
"eval_f1": 0.9759615384615384,
|
81 |
+
"eval_loss": 0.6775969862937927,
|
82 |
+
"eval_pr_auc": 0.9570451344092105,
|
83 |
+
"eval_precision": 0.9530516431924883,
|
84 |
+
"eval_recall": 1.0,
|
85 |
+
"eval_roc_auc": 0.4647783251231527,
|
86 |
+
"eval_runtime": 4.3875,
|
87 |
+
"eval_samples_per_second": 48.547,
|
88 |
+
"eval_steps_per_second": 0.912,
|
89 |
+
"step": 12
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 3.857142857142857,
|
93 |
+
"grad_norm": 2.0180256366729736,
|
94 |
+
"learning_rate": 0.000499716834795752,
|
95 |
+
"loss": 0.7296,
|
96 |
+
"step": 15
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 4.0,
|
100 |
+
"eval_accuracy": 0.9577464788732394,
|
101 |
+
"eval_best_threshold": 0.488298624753952,
|
102 |
+
"eval_f1": 0.9783132530120482,
|
103 |
+
"eval_loss": 0.6953739523887634,
|
104 |
+
"eval_pr_auc": 0.9387681415619215,
|
105 |
+
"eval_precision": 0.9575471698113207,
|
106 |
+
"eval_recall": 1.0,
|
107 |
+
"eval_roc_auc": 0.3980295566502463,
|
108 |
+
"eval_runtime": 3.9434,
|
109 |
+
"eval_samples_per_second": 54.014,
|
110 |
+
"eval_steps_per_second": 1.014,
|
111 |
+
"step": 16
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 4.571428571428571,
|
115 |
+
"grad_norm": 0.6065838932991028,
|
116 |
+
"learning_rate": 0.0004994966691179711,
|
117 |
+
"loss": 0.5691,
|
118 |
+
"step": 18
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 5.0,
|
122 |
+
"eval_accuracy": 0.9577464788732394,
|
123 |
+
"eval_best_threshold": 0.4559290409088135,
|
124 |
+
"eval_f1": 0.9783132530120482,
|
125 |
+
"eval_loss": 0.6963727474212646,
|
126 |
+
"eval_pr_auc": 0.9437271902417405,
|
127 |
+
"eval_precision": 0.9575471698113207,
|
128 |
+
"eval_recall": 1.0,
|
129 |
+
"eval_roc_auc": 0.42167487684729066,
|
130 |
+
"eval_runtime": 4.451,
|
131 |
+
"eval_samples_per_second": 47.854,
|
132 |
+
"eval_steps_per_second": 0.899,
|
133 |
+
"step": 20
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 5.285714285714286,
|
137 |
+
"grad_norm": 0.7243921160697937,
|
138 |
+
"learning_rate": 0.0004992136939879857,
|
139 |
+
"loss": 0.5782,
|
140 |
+
"step": 21
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 6.0,
|
144 |
+
"grad_norm": 0.2275872528553009,
|
145 |
+
"learning_rate": 0.0004988679806432712,
|
146 |
+
"loss": 0.5628,
|
147 |
+
"step": 24
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 6.0,
|
151 |
+
"eval_accuracy": 0.9624413145539906,
|
152 |
+
"eval_best_threshold": 0.40434572100639343,
|
153 |
+
"eval_f1": 0.9806763285024155,
|
154 |
+
"eval_loss": 0.6847261786460876,
|
155 |
+
"eval_pr_auc": 0.9548760246480454,
|
156 |
+
"eval_precision": 0.9620853080568721,
|
157 |
+
"eval_recall": 1.0,
|
158 |
+
"eval_roc_auc": 0.5586206896551724,
|
159 |
+
"eval_runtime": 4.6725,
|
160 |
+
"eval_samples_per_second": 45.586,
|
161 |
+
"eval_steps_per_second": 0.856,
|
162 |
+
"step": 24
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 6.857142857142857,
|
166 |
+
"grad_norm": 1.0703548192977905,
|
167 |
+
"learning_rate": 0.0004984596161153135,
|
168 |
+
"loss": 0.6532,
|
169 |
+
"step": 27
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 7.0,
|
173 |
+
"eval_accuracy": 0.9624413145539906,
|
174 |
+
"eval_best_threshold": 0.3936326503753662,
|
175 |
+
"eval_f1": 0.9805825242718447,
|
176 |
+
"eval_loss": 0.6566980481147766,
|
177 |
+
"eval_pr_auc": 0.9620782247005666,
|
178 |
+
"eval_precision": 0.9665071770334929,
|
179 |
+
"eval_recall": 0.9950738916256158,
|
180 |
+
"eval_roc_auc": 0.5571428571428572,
|
181 |
+
"eval_runtime": 4.3448,
|
182 |
+
"eval_samples_per_second": 49.024,
|
183 |
+
"eval_steps_per_second": 0.921,
|
184 |
+
"step": 28
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 7.571428571428571,
|
188 |
+
"grad_norm": 2.041855573654175,
|
189 |
+
"learning_rate": 0.0004979887032076989,
|
190 |
+
"loss": 0.5593,
|
191 |
+
"step": 30
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 8.0,
|
195 |
+
"eval_accuracy": 0.9624413145539906,
|
196 |
+
"eval_best_threshold": 0.2755194306373596,
|
197 |
+
"eval_f1": 0.9806763285024155,
|
198 |
+
"eval_loss": 0.6331985592842102,
|
199 |
+
"eval_pr_auc": 0.9751121096020542,
|
200 |
+
"eval_precision": 0.9620853080568721,
|
201 |
+
"eval_recall": 1.0,
|
202 |
+
"eval_roc_auc": 0.6586206896551724,
|
203 |
+
"eval_runtime": 4.7804,
|
204 |
+
"eval_samples_per_second": 44.557,
|
205 |
+
"eval_steps_per_second": 0.837,
|
206 |
+
"step": 32
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 8.285714285714286,
|
210 |
+
"grad_norm": 0.8734021186828613,
|
211 |
+
"learning_rate": 0.0004974553604702333,
|
212 |
+
"loss": 0.5002,
|
213 |
+
"step": 33
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 9.0,
|
217 |
+
"grad_norm": Infinity,
|
218 |
+
"learning_rate": 0.0004970651810649666,
|
219 |
+
"loss": 0.5346,
|
220 |
+
"step": 36
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 9.0,
|
224 |
+
"eval_accuracy": 0.9577464788732394,
|
225 |
+
"eval_best_threshold": 0.14823205769062042,
|
226 |
+
"eval_f1": 0.9783132530120482,
|
227 |
+
"eval_loss": 0.6035900712013245,
|
228 |
+
"eval_pr_auc": 0.9819011692535515,
|
229 |
+
"eval_precision": 0.9575471698113207,
|
230 |
+
"eval_recall": 1.0,
|
231 |
+
"eval_roc_auc": 0.7339901477832512,
|
232 |
+
"eval_runtime": 4.0039,
|
233 |
+
"eval_samples_per_second": 53.198,
|
234 |
+
"eval_steps_per_second": 0.999,
|
235 |
+
"step": 36
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 9.857142857142858,
|
239 |
+
"grad_norm": 1.1991403102874756,
|
240 |
+
"learning_rate": 0.0004964280947263676,
|
241 |
+
"loss": 0.5955,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 10.0,
|
246 |
+
"eval_accuracy": 0.9624413145539906,
|
247 |
+
"eval_best_threshold": 0.5386950373649597,
|
248 |
+
"eval_f1": 0.9805825242718447,
|
249 |
+
"eval_loss": 0.6214358806610107,
|
250 |
+
"eval_pr_auc": 0.9624581599102329,
|
251 |
+
"eval_precision": 0.9665071770334929,
|
252 |
+
"eval_recall": 0.9950738916256158,
|
253 |
+
"eval_roc_auc": 0.6002463054187192,
|
254 |
+
"eval_runtime": 4.5609,
|
255 |
+
"eval_samples_per_second": 46.701,
|
256 |
+
"eval_steps_per_second": 0.877,
|
257 |
+
"step": 40
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.571428571428571,
|
261 |
+
"grad_norm": 2.6938207149505615,
|
262 |
+
"learning_rate": 0.0004957289714327572,
|
263 |
+
"loss": 0.4496,
|
264 |
+
"step": 42
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 11.0,
|
268 |
+
"eval_accuracy": 0.9530516431924883,
|
269 |
+
"eval_best_threshold": 0.04157886654138565,
|
270 |
+
"eval_f1": 0.9759615384615384,
|
271 |
+
"eval_loss": 0.8543573617935181,
|
272 |
+
"eval_pr_auc": 0.9879501355451374,
|
273 |
+
"eval_precision": 0.9530516431924883,
|
274 |
+
"eval_recall": 1.0,
|
275 |
+
"eval_roc_auc": 0.7901477832512316,
|
276 |
+
"eval_runtime": 4.6335,
|
277 |
+
"eval_samples_per_second": 45.969,
|
278 |
+
"eval_steps_per_second": 0.863,
|
279 |
+
"step": 44
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 11.285714285714286,
|
283 |
+
"grad_norm": 3.554097890853882,
|
284 |
+
"learning_rate": 0.0004949679871846857,
|
285 |
+
"loss": 0.6118,
|
286 |
+
"step": 45
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 12.0,
|
290 |
+
"grad_norm": 2.869584083557129,
|
291 |
+
"learning_rate": 0.0004941453335558681,
|
292 |
+
"loss": 0.6877,
|
293 |
+
"step": 48
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 12.0,
|
297 |
+
"eval_accuracy": 0.9530516431924883,
|
298 |
+
"eval_best_threshold": 0.17342814803123474,
|
299 |
+
"eval_f1": 0.9759615384615384,
|
300 |
+
"eval_loss": 0.5579107403755188,
|
301 |
+
"eval_pr_auc": 0.9873731974164195,
|
302 |
+
"eval_precision": 0.9530516431924883,
|
303 |
+
"eval_recall": 1.0,
|
304 |
+
"eval_roc_auc": 0.7891625615763547,
|
305 |
+
"eval_runtime": 4.1544,
|
306 |
+
"eval_samples_per_second": 51.271,
|
307 |
+
"eval_steps_per_second": 0.963,
|
308 |
+
"step": 48
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 12.857142857142858,
|
312 |
+
"grad_norm": 1.1457290649414062,
|
313 |
+
"learning_rate": 0.0004932612176449559,
|
314 |
+
"loss": 0.5374,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 13.0,
|
319 |
+
"eval_accuracy": 0.9624413145539906,
|
320 |
+
"eval_best_threshold": 0.5808722376823425,
|
321 |
+
"eval_f1": 0.9806763285024155,
|
322 |
+
"eval_loss": 0.5983880758285522,
|
323 |
+
"eval_pr_auc": 0.9837750859728142,
|
324 |
+
"eval_precision": 0.9620853080568721,
|
325 |
+
"eval_recall": 1.0,
|
326 |
+
"eval_roc_auc": 0.7578817733990147,
|
327 |
+
"eval_runtime": 4.6879,
|
328 |
+
"eval_samples_per_second": 45.436,
|
329 |
+
"eval_steps_per_second": 0.853,
|
330 |
+
"step": 52
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 13.571428571428571,
|
334 |
+
"grad_norm": 2.2151918411254883,
|
335 |
+
"learning_rate": 0.000492315862023402,
|
336 |
+
"loss": 0.5329,
|
337 |
+
"step": 54
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 14.0,
|
341 |
+
"eval_accuracy": 0.9624413145539906,
|
342 |
+
"eval_best_threshold": 0.1792430430650711,
|
343 |
+
"eval_f1": 0.9806763285024155,
|
344 |
+
"eval_loss": 0.5941116213798523,
|
345 |
+
"eval_pr_auc": 0.987113937851267,
|
346 |
+
"eval_precision": 0.9620853080568721,
|
347 |
+
"eval_recall": 1.0,
|
348 |
+
"eval_roc_auc": 0.7970443349753695,
|
349 |
+
"eval_runtime": 4.3199,
|
350 |
+
"eval_samples_per_second": 49.306,
|
351 |
+
"eval_steps_per_second": 0.926,
|
352 |
+
"step": 56
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 14.285714285714286,
|
356 |
+
"grad_norm": 2.5402119159698486,
|
357 |
+
"learning_rate": 0.0004913095046794281,
|
358 |
+
"loss": 0.4644,
|
359 |
+
"step": 57
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 15.0,
|
363 |
+
"grad_norm": 2.0666849613189697,
|
364 |
+
"learning_rate": 0.0004902423989581143,
|
365 |
+
"loss": 0.5655,
|
366 |
+
"step": 60
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 15.0,
|
370 |
+
"eval_accuracy": 0.9671361502347418,
|
371 |
+
"eval_best_threshold": 0.09999631345272064,
|
372 |
+
"eval_f1": 0.9830508474576272,
|
373 |
+
"eval_loss": 0.6284329891204834,
|
374 |
+
"eval_pr_auc": 0.9873903178253213,
|
375 |
+
"eval_precision": 0.9666666666666667,
|
376 |
+
"eval_recall": 1.0,
|
377 |
+
"eval_roc_auc": 0.8014778325123153,
|
378 |
+
"eval_runtime": 3.9163,
|
379 |
+
"eval_samples_per_second": 54.388,
|
380 |
+
"eval_steps_per_second": 1.021,
|
381 |
+
"step": 60
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 15.857142857142858,
|
385 |
+
"grad_norm": 0.3262127935886383,
|
386 |
+
"learning_rate": 0.000489114813497619,
|
387 |
+
"loss": 0.5623,
|
388 |
+
"step": 63
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 16.0,
|
392 |
+
"eval_accuracy": 0.9624413145539906,
|
393 |
+
"eval_best_threshold": 0.40762078762054443,
|
394 |
+
"eval_f1": 0.9806763285024155,
|
395 |
+
"eval_loss": 0.5445640683174133,
|
396 |
+
"eval_pr_auc": 0.9843443641688615,
|
397 |
+
"eval_precision": 0.9620853080568721,
|
398 |
+
"eval_recall": 1.0,
|
399 |
+
"eval_roc_auc": 0.7625615763546798,
|
400 |
+
"eval_runtime": 4.4164,
|
401 |
+
"eval_samples_per_second": 48.229,
|
402 |
+
"eval_steps_per_second": 0.906,
|
403 |
+
"step": 64
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 16.571428571428573,
|
407 |
+
"grad_norm": 1.1104872226715088,
|
408 |
+
"learning_rate": 0.000487927032161552,
|
409 |
+
"loss": 0.4934,
|
410 |
+
"step": 66
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 17.0,
|
414 |
+
"eval_accuracy": 0.9624413145539906,
|
415 |
+
"eval_best_threshold": 0.08254930377006531,
|
416 |
+
"eval_f1": 0.9806763285024155,
|
417 |
+
"eval_loss": 0.5435951352119446,
|
418 |
+
"eval_pr_auc": 0.9867802837753047,
|
419 |
+
"eval_precision": 0.9620853080568721,
|
420 |
+
"eval_recall": 1.0,
|
421 |
+
"eval_roc_auc": 0.7965517241379311,
|
422 |
+
"eval_runtime": 4.8194,
|
423 |
+
"eval_samples_per_second": 44.197,
|
424 |
+
"eval_steps_per_second": 0.83,
|
425 |
+
"step": 68
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 17.285714285714285,
|
429 |
+
"grad_norm": 1.3775012493133545,
|
430 |
+
"learning_rate": 0.00048667935396751264,
|
431 |
+
"loss": 0.4147,
|
432 |
+
"step": 69
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 18.0,
|
436 |
+
"grad_norm": 0.987482488155365,
|
437 |
+
"learning_rate": 0.0004853720930118139,
|
438 |
+
"loss": 0.4838,
|
439 |
+
"step": 72
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 18.0,
|
443 |
+
"eval_accuracy": 0.9624413145539906,
|
444 |
+
"eval_best_threshold": 0.2583727538585663,
|
445 |
+
"eval_f1": 0.9806763285024155,
|
446 |
+
"eval_loss": 0.5534961223602295,
|
447 |
+
"eval_pr_auc": 0.9766965382800533,
|
448 |
+
"eval_precision": 0.9620853080568721,
|
449 |
+
"eval_recall": 1.0,
|
450 |
+
"eval_roc_auc": 0.6854679802955665,
|
451 |
+
"eval_runtime": 4.4444,
|
452 |
+
"eval_samples_per_second": 47.926,
|
453 |
+
"eval_steps_per_second": 0.9,
|
454 |
+
"step": 72
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 18.857142857142858,
|
458 |
+
"grad_norm": 0.7703476548194885,
|
459 |
+
"learning_rate": 0.00048400557839041057,
|
460 |
+
"loss": 0.5121,
|
461 |
+
"step": 75
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 19.0,
|
465 |
+
"eval_accuracy": 0.9624413145539906,
|
466 |
+
"eval_best_threshold": 0.06578465551137924,
|
467 |
+
"eval_f1": 0.9806763285024155,
|
468 |
+
"eval_loss": 0.5378168225288391,
|
469 |
+
"eval_pr_auc": 0.9891977624351356,
|
470 |
+
"eval_precision": 0.9620853080568721,
|
471 |
+
"eval_recall": 1.0,
|
472 |
+
"eval_roc_auc": 0.8330049261083744,
|
473 |
+
"eval_runtime": 4.5334,
|
474 |
+
"eval_samples_per_second": 46.984,
|
475 |
+
"eval_steps_per_second": 0.882,
|
476 |
+
"step": 76
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 19.571428571428573,
|
480 |
+
"grad_norm": 1.074415922164917,
|
481 |
+
"learning_rate": 0.00048258015411605095,
|
482 |
+
"loss": 0.4896,
|
483 |
+
"step": 78
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 20.0,
|
487 |
+
"eval_accuracy": 0.9624413145539906,
|
488 |
+
"eval_best_threshold": 0.29690900444984436,
|
489 |
+
"eval_f1": 0.9806763285024155,
|
490 |
+
"eval_loss": 0.57256019115448,
|
491 |
+
"eval_pr_auc": 0.9841532218125894,
|
492 |
+
"eval_precision": 0.9620853080568721,
|
493 |
+
"eval_recall": 1.0,
|
494 |
+
"eval_roc_auc": 0.758128078817734,
|
495 |
+
"eval_runtime": 4.6069,
|
496 |
+
"eval_samples_per_second": 46.235,
|
497 |
+
"eval_steps_per_second": 0.868,
|
498 |
+
"step": 80
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 20.285714285714285,
|
502 |
+
"grad_norm": 2.890902042388916,
|
503 |
+
"learning_rate": 0.00048109617903167303,
|
504 |
+
"loss": 0.403,
|
505 |
+
"step": 81
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 21.0,
|
509 |
+
"grad_norm": 0.32196927070617676,
|
510 |
+
"learning_rate": 0.0004795540267200685,
|
511 |
+
"loss": 0.4986,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 21.0,
|
516 |
+
"eval_accuracy": 0.9624413145539906,
|
517 |
+
"eval_best_threshold": 0.24242974817752838,
|
518 |
+
"eval_f1": 0.9806763285024155,
|
519 |
+
"eval_loss": 0.5482825040817261,
|
520 |
+
"eval_pr_auc": 0.9836054537100154,
|
521 |
+
"eval_precision": 0.9620853080568721,
|
522 |
+
"eval_recall": 1.0,
|
523 |
+
"eval_roc_auc": 0.7773399014778325,
|
524 |
+
"eval_runtime": 4.3525,
|
525 |
+
"eval_samples_per_second": 48.938,
|
526 |
+
"eval_steps_per_second": 0.919,
|
527 |
+
"step": 84
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 21.857142857142858,
|
531 |
+
"grad_norm": 0.31015127897262573,
|
532 |
+
"learning_rate": 0.00047795408540983475,
|
533 |
+
"loss": 0.532,
|
534 |
+
"step": 87
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 22.0,
|
538 |
+
"eval_accuracy": 0.9624413145539906,
|
539 |
+
"eval_best_threshold": 0.07094483077526093,
|
540 |
+
"eval_f1": 0.9806763285024155,
|
541 |
+
"eval_loss": 0.5339506268501282,
|
542 |
+
"eval_pr_auc": 0.9872064689219997,
|
543 |
+
"eval_precision": 0.9620853080568721,
|
544 |
+
"eval_recall": 1.0,
|
545 |
+
"eval_roc_auc": 0.8167487684729065,
|
546 |
+
"eval_runtime": 4.5492,
|
547 |
+
"eval_samples_per_second": 46.822,
|
548 |
+
"eval_steps_per_second": 0.879,
|
549 |
+
"step": 88
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 22.571428571428573,
|
553 |
+
"grad_norm": 0.4279550313949585,
|
554 |
+
"learning_rate": 0.0004762967578776406,
|
555 |
+
"loss": 0.4404,
|
556 |
+
"step": 90
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 23.0,
|
560 |
+
"eval_accuracy": 0.9671361502347418,
|
561 |
+
"eval_best_threshold": 0.4337865710258484,
|
562 |
+
"eval_f1": 0.9830508474576272,
|
563 |
+
"eval_loss": 0.5571203231811523,
|
564 |
+
"eval_pr_auc": 0.9819982800942599,
|
565 |
+
"eval_precision": 0.9666666666666667,
|
566 |
+
"eval_recall": 1.0,
|
567 |
+
"eval_roc_auc": 0.7495073891625617,
|
568 |
+
"eval_runtime": 4.8091,
|
569 |
+
"eval_samples_per_second": 44.291,
|
570 |
+
"eval_steps_per_second": 0.832,
|
571 |
+
"step": 92
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 23.285714285714285,
|
575 |
+
"grad_norm": 1.652251958847046,
|
576 |
+
"learning_rate": 0.00047458246134682926,
|
577 |
+
"loss": 0.4665,
|
578 |
+
"step": 93
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 24.0,
|
582 |
+
"grad_norm": 0.5141251087188721,
|
583 |
+
"learning_rate": 0.0004728116273823847,
|
584 |
+
"loss": 0.473,
|
585 |
+
"step": 96
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 24.0,
|
589 |
+
"eval_accuracy": 0.9671361502347418,
|
590 |
+
"eval_best_threshold": 0.32589587569236755,
|
591 |
+
"eval_f1": 0.9830508474576272,
|
592 |
+
"eval_loss": 0.5704872012138367,
|
593 |
+
"eval_pr_auc": 0.9865814075621451,
|
594 |
+
"eval_precision": 0.9666666666666667,
|
595 |
+
"eval_recall": 1.0,
|
596 |
+
"eval_roc_auc": 0.7926108374384236,
|
597 |
+
"eval_runtime": 4.3422,
|
598 |
+
"eval_samples_per_second": 49.054,
|
599 |
+
"eval_steps_per_second": 0.921,
|
600 |
+
"step": 96
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 24.857142857142858,
|
604 |
+
"grad_norm": 2.2477593421936035,
|
605 |
+
"learning_rate": 0.0004709847017822876,
|
606 |
+
"loss": 0.578,
|
607 |
+
"step": 99
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 25.0,
|
611 |
+
"eval_accuracy": 0.9671361502347418,
|
612 |
+
"eval_best_threshold": 0.32844865322113037,
|
613 |
+
"eval_f1": 0.9830508474576272,
|
614 |
+
"eval_loss": 0.5548251271247864,
|
615 |
+
"eval_pr_auc": 0.9830996192936517,
|
616 |
+
"eval_precision": 0.9666666666666667,
|
617 |
+
"eval_recall": 1.0,
|
618 |
+
"eval_roc_auc": 0.7620689655172413,
|
619 |
+
"eval_runtime": 4.2924,
|
620 |
+
"eval_samples_per_second": 49.623,
|
621 |
+
"eval_steps_per_second": 0.932,
|
622 |
+
"step": 100
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 25.571428571428573,
|
626 |
+
"grad_norm": 3.829688310623169,
|
627 |
+
"learning_rate": 0.00046910214446528766,
|
628 |
+
"loss": 0.4749,
|
629 |
+
"step": 102
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 26.0,
|
633 |
+
"eval_accuracy": 0.9624413145539906,
|
634 |
+
"eval_best_threshold": 0.0979498103260994,
|
635 |
+
"eval_f1": 0.9806763285024155,
|
636 |
+
"eval_loss": 0.4922328591346741,
|
637 |
+
"eval_pr_auc": 0.9846144860590845,
|
638 |
+
"eval_precision": 0.9620853080568721,
|
639 |
+
"eval_recall": 1.0,
|
640 |
+
"eval_roc_auc": 0.7921182266009853,
|
641 |
+
"eval_runtime": 4.1671,
|
642 |
+
"eval_samples_per_second": 51.115,
|
643 |
+
"eval_steps_per_second": 0.96,
|
644 |
+
"step": 104
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 26.285714285714285,
|
648 |
+
"grad_norm": 0.6822347044944763,
|
649 |
+
"learning_rate": 0.00046716442935512215,
|
650 |
+
"loss": 0.4634,
|
651 |
+
"step": 105
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 27.0,
|
655 |
+
"grad_norm": 0.3724188506603241,
|
656 |
+
"learning_rate": 0.00046517204426120757,
|
657 |
+
"loss": 0.3946,
|
658 |
+
"step": 108
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 27.0,
|
662 |
+
"eval_accuracy": 0.9671361502347418,
|
663 |
+
"eval_best_threshold": 0.14669741690158844,
|
664 |
+
"eval_f1": 0.9830508474576272,
|
665 |
+
"eval_loss": 0.5319708585739136,
|
666 |
+
"eval_pr_auc": 0.9846531299061106,
|
667 |
+
"eval_precision": 0.9666666666666667,
|
668 |
+
"eval_recall": 1.0,
|
669 |
+
"eval_roc_auc": 0.7795566502463055,
|
670 |
+
"eval_runtime": 4.0384,
|
671 |
+
"eval_samples_per_second": 52.743,
|
672 |
+
"eval_steps_per_second": 0.99,
|
673 |
+
"step": 108
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 27.857142857142858,
|
677 |
+
"grad_norm": 3.3339312076568604,
|
678 |
+
"learning_rate": 0.0004631254907558365,
|
679 |
+
"loss": 0.6008,
|
680 |
+
"step": 111
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 28.0,
|
684 |
+
"eval_accuracy": 0.9624413145539906,
|
685 |
+
"eval_best_threshold": 0.4017758369445801,
|
686 |
+
"eval_f1": 0.9804878048780488,
|
687 |
+
"eval_loss": 0.4973604679107666,
|
688 |
+
"eval_pr_auc": 0.9854492936449624,
|
689 |
+
"eval_precision": 0.9710144927536232,
|
690 |
+
"eval_recall": 0.9901477832512315,
|
691 |
+
"eval_roc_auc": 0.7903940886699506,
|
692 |
+
"eval_runtime": 4.4645,
|
693 |
+
"eval_samples_per_second": 47.71,
|
694 |
+
"eval_steps_per_second": 0.896,
|
695 |
+
"step": 112
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 28.571428571428573,
|
699 |
+
"grad_norm": 1.0172795057296753,
|
700 |
+
"learning_rate": 0.00046102528404790965,
|
701 |
+
"loss": 0.52,
|
702 |
+
"step": 114
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 29.0,
|
706 |
+
"eval_accuracy": 0.9577464788732394,
|
707 |
+
"eval_best_threshold": 0.02784844860434532,
|
708 |
+
"eval_f1": 0.9783132530120482,
|
709 |
+
"eval_loss": 0.5491310358047485,
|
710 |
+
"eval_pr_auc": 0.986877369995463,
|
711 |
+
"eval_precision": 0.9575471698113207,
|
712 |
+
"eval_recall": 1.0,
|
713 |
+
"eval_roc_auc": 0.8157635467980296,
|
714 |
+
"eval_runtime": 4.223,
|
715 |
+
"eval_samples_per_second": 50.438,
|
716 |
+
"eval_steps_per_second": 0.947,
|
717 |
+
"step": 116
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 29.285714285714285,
|
721 |
+
"grad_norm": 1.3928241729736328,
|
722 |
+
"learning_rate": 0.0004588719528532341,
|
723 |
+
"loss": 0.4332,
|
724 |
+
"step": 117
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 30.0,
|
728 |
+
"grad_norm": 0.13795076310634613,
|
729 |
+
"learning_rate": 0.00045666603926142283,
|
730 |
+
"loss": 0.3921,
|
731 |
+
"step": 120
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 30.0,
|
735 |
+
"eval_accuracy": 0.9624413145539906,
|
736 |
+
"eval_best_threshold": 0.3900836706161499,
|
737 |
+
"eval_f1": 0.9805825242718447,
|
738 |
+
"eval_loss": 0.5215495228767395,
|
739 |
+
"eval_pr_auc": 0.9885726401668996,
|
740 |
+
"eval_precision": 0.9665071770334929,
|
741 |
+
"eval_recall": 0.9950738916256158,
|
742 |
+
"eval_roc_auc": 0.8231527093596059,
|
743 |
+
"eval_runtime": 3.9438,
|
744 |
+
"eval_samples_per_second": 54.008,
|
745 |
+
"eval_steps_per_second": 1.014,
|
746 |
+
"step": 120
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 30.857142857142858,
|
750 |
+
"grad_norm": 1.1264947652816772,
|
751 |
+
"learning_rate": 0.0004544080985994258,
|
752 |
+
"loss": 0.4964,
|
753 |
+
"step": 123
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 31.0,
|
757 |
+
"eval_accuracy": 0.9624413145539906,
|
758 |
+
"eval_best_threshold": 0.06064055114984512,
|
759 |
+
"eval_f1": 0.9806763285024155,
|
760 |
+
"eval_loss": 0.5333446264266968,
|
761 |
+
"eval_pr_auc": 0.9872200029984016,
|
762 |
+
"eval_precision": 0.9620853080568721,
|
763 |
+
"eval_recall": 1.0,
|
764 |
+
"eval_roc_auc": 0.8251231527093597,
|
765 |
+
"eval_runtime": 4.334,
|
766 |
+
"eval_samples_per_second": 49.147,
|
767 |
+
"eval_steps_per_second": 0.923,
|
768 |
+
"step": 124
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 31.571428571428573,
|
772 |
+
"grad_norm": 1.147207260131836,
|
773 |
+
"learning_rate": 0.0004520986992917297,
|
774 |
+
"loss": 0.4592,
|
775 |
+
"step": 126
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 32.0,
|
779 |
+
"eval_accuracy": 0.9671361502347418,
|
780 |
+
"eval_best_threshold": 0.2888699173927307,
|
781 |
+
"eval_f1": 0.9829683698296837,
|
782 |
+
"eval_loss": 0.47561803460121155,
|
783 |
+
"eval_pr_auc": 0.98778851386531,
|
784 |
+
"eval_precision": 0.9711538461538461,
|
785 |
+
"eval_recall": 0.9950738916256158,
|
786 |
+
"eval_roc_auc": 0.8290640394088671,
|
787 |
+
"eval_runtime": 4.5973,
|
788 |
+
"eval_samples_per_second": 46.331,
|
789 |
+
"eval_steps_per_second": 0.87,
|
790 |
+
"step": 128
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 32.285714285714285,
|
794 |
+
"grad_norm": 0.5480005145072937,
|
795 |
+
"learning_rate": 0.00044973842271726027,
|
796 |
+
"loss": 0.4054,
|
797 |
+
"step": 129
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 33.0,
|
801 |
+
"grad_norm": 1.6971485614776611,
|
802 |
+
"learning_rate": 0.00044732786306302303,
|
803 |
+
"loss": 0.476,
|
804 |
+
"step": 132
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 33.0,
|
808 |
+
"eval_accuracy": 0.9671361502347418,
|
809 |
+
"eval_best_threshold": 0.2422952502965927,
|
810 |
+
"eval_f1": 0.9830508474576272,
|
811 |
+
"eval_loss": 0.47018811106681824,
|
812 |
+
"eval_pr_auc": 0.989969192055292,
|
813 |
+
"eval_precision": 0.9666666666666667,
|
814 |
+
"eval_recall": 1.0,
|
815 |
+
"eval_roc_auc": 0.8450738916256157,
|
816 |
+
"eval_runtime": 4.2741,
|
817 |
+
"eval_samples_per_second": 49.835,
|
818 |
+
"eval_steps_per_second": 0.936,
|
819 |
+
"step": 132
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 33.857142857142854,
|
823 |
+
"grad_norm": 1.4494688510894775,
|
824 |
+
"learning_rate": 0.0004448676271745197,
|
825 |
+
"loss": 0.5734,
|
826 |
+
"step": 135
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 34.0,
|
830 |
+
"eval_accuracy": 0.9671361502347418,
|
831 |
+
"eval_best_threshold": 0.22772686183452606,
|
832 |
+
"eval_f1": 0.9830508474576272,
|
833 |
+
"eval_loss": 0.47546666860580444,
|
834 |
+
"eval_pr_auc": 0.9894810176977142,
|
835 |
+
"eval_precision": 0.9666666666666667,
|
836 |
+
"eval_recall": 1.0,
|
837 |
+
"eval_roc_auc": 0.8379310344827586,
|
838 |
+
"eval_runtime": 4.3512,
|
839 |
+
"eval_samples_per_second": 48.952,
|
840 |
+
"eval_steps_per_second": 0.919,
|
841 |
+
"step": 136
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 34.57142857142857,
|
845 |
+
"grad_norm": 0.8203570246696472,
|
846 |
+
"learning_rate": 0.00044235833440297857,
|
847 |
+
"loss": 0.3077,
|
848 |
+
"step": 138
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 35.0,
|
852 |
+
"eval_accuracy": 0.9624413145539906,
|
853 |
+
"eval_best_threshold": 0.05028397589921951,
|
854 |
+
"eval_f1": 0.9806763285024155,
|
855 |
+
"eval_loss": 0.46481361985206604,
|
856 |
+
"eval_pr_auc": 0.9884215676732423,
|
857 |
+
"eval_precision": 0.9620853080568721,
|
858 |
+
"eval_recall": 1.0,
|
859 |
+
"eval_roc_auc": 0.8428571428571429,
|
860 |
+
"eval_runtime": 4.0747,
|
861 |
+
"eval_samples_per_second": 52.274,
|
862 |
+
"eval_steps_per_second": 0.982,
|
863 |
+
"step": 140
|
864 |
+
}
|
865 |
+
],
|
866 |
+
"logging_steps": 3,
|
867 |
+
"max_steps": 600,
|
868 |
+
"num_input_tokens_seen": 0,
|
869 |
+
"num_train_epochs": 200,
|
870 |
+
"save_steps": 500,
|
871 |
+
"stateful_callbacks": {
|
872 |
+
"EarlyStoppingCallback": {
|
873 |
+
"args": {
|
874 |
+
"early_stopping_patience": 20,
|
875 |
+
"early_stopping_threshold": 0.0
|
876 |
+
},
|
877 |
+
"attributes": {
|
878 |
+
"early_stopping_patience_counter": 20
|
879 |
+
}
|
880 |
+
},
|
881 |
+
"TrainerControl": {
|
882 |
+
"args": {
|
883 |
+
"should_epoch_stop": false,
|
884 |
+
"should_evaluate": false,
|
885 |
+
"should_log": false,
|
886 |
+
"should_save": true,
|
887 |
+
"should_training_stop": true
|
888 |
+
},
|
889 |
+
"attributes": {}
|
890 |
+
}
|
891 |
+
},
|
892 |
+
"total_flos": 1.0621405284091822e+19,
|
893 |
+
"train_batch_size": 128,
|
894 |
+
"trial_name": null,
|
895 |
+
"trial_params": null
|
896 |
+
}
|
checkpoint-140/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f603d30a49833e95de39ef9d1ed2771533f8d9b708df00b15be6b4ad228368bd
|
3 |
+
size 5368
|
checkpoint-60/config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 1024,
|
11 |
+
"image_size": 256,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 4096,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"model_type": "vit",
|
16 |
+
"num_attention_heads": 16,
|
17 |
+
"num_channels": 3,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"patch_size": 16,
|
20 |
+
"problem_type": "single_label_classification",
|
21 |
+
"qkv_bias": true,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.49.0"
|
24 |
+
}
|
checkpoint-60/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7603c376108527effe45eab5fca348a5c0335c2c3085408192150b8fbdd97a3
|
3 |
+
size 1213507024
|
checkpoint-60/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a91bc74d81e2604b56d12ab5149b6c8668a2b2d367b45e22218bc28b40009614
|
3 |
+
size 2427249066
|
checkpoint-60/preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": false,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
11 |
+
"image_processor_type": "ViTFeatureExtractor",
|
12 |
+
"image_std": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 224,
|
21 |
+
"width": 224
|
22 |
+
}
|
23 |
+
}
|
checkpoint-60/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88a8c6076f3c05cdf1125c1235b4a613ac1ac913542e9b26d9987d0d57db6272
|
3 |
+
size 14244
|
checkpoint-60/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a7565f867f9c8d3f5c8aa2ea6bd211664218909ee6750a4ca50a8bb62aa0732f
|
3 |
+
size 988
|
checkpoint-60/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4f881e0232dd1e145e78a55a6abf77ba5bec2e9fb9008686b6cf1fbde772fafb
|
3 |
+
size 1064
|
checkpoint-60/trainer_state.json
ADDED
@@ -0,0 +1,414 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9830508474576272,
|
3 |
+
"best_model_checkpoint": "/tmp/logs/GenetikaPlus/clf_soma_model_v1.0.1/checkpoint-60",
|
4 |
+
"epoch": 15.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 60,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.2857142857142857,
|
13 |
+
"grad_norm": 3.202357053756714,
|
14 |
+
"learning_rate": 8.333333333333333e-05,
|
15 |
+
"loss": 0.6786,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.8571428571428571,
|
20 |
+
"grad_norm": 4.824620246887207,
|
21 |
+
"learning_rate": 0.00025,
|
22 |
+
"loss": 0.7317,
|
23 |
+
"step": 3
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"eval_accuracy": 0.9577464788732394,
|
28 |
+
"eval_best_threshold": 0.3037576377391815,
|
29 |
+
"eval_f1": 0.9783132530120482,
|
30 |
+
"eval_loss": 0.6482536792755127,
|
31 |
+
"eval_pr_auc": 0.9798696623714835,
|
32 |
+
"eval_precision": 0.9575471698113207,
|
33 |
+
"eval_recall": 1.0,
|
34 |
+
"eval_roc_auc": 0.7300492610837439,
|
35 |
+
"eval_runtime": 3.6503,
|
36 |
+
"eval_samples_per_second": 58.351,
|
37 |
+
"eval_steps_per_second": 1.096,
|
38 |
+
"step": 4
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.5714285714285714,
|
42 |
+
"grad_norm": 8.443906784057617,
|
43 |
+
"learning_rate": 0.0005,
|
44 |
+
"loss": 0.9287,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 2.0,
|
49 |
+
"eval_accuracy": 0.9577464788732394,
|
50 |
+
"eval_best_threshold": 0.09376094490289688,
|
51 |
+
"eval_f1": 0.9783132530120482,
|
52 |
+
"eval_loss": 1.2041555643081665,
|
53 |
+
"eval_pr_auc": 0.9823049604214897,
|
54 |
+
"eval_precision": 0.9575471698113207,
|
55 |
+
"eval_recall": 1.0,
|
56 |
+
"eval_roc_auc": 0.7192118226600985,
|
57 |
+
"eval_runtime": 3.8529,
|
58 |
+
"eval_samples_per_second": 55.283,
|
59 |
+
"eval_steps_per_second": 1.038,
|
60 |
+
"step": 8
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 2.2857142857142856,
|
64 |
+
"grad_norm": 7.837808609008789,
|
65 |
+
"learning_rate": 0.0004999685319184688,
|
66 |
+
"loss": 1.0591,
|
67 |
+
"step": 9
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 3.0,
|
71 |
+
"grad_norm": 0.33617040514945984,
|
72 |
+
"learning_rate": 0.0004998741355957963,
|
73 |
+
"loss": 0.6429,
|
74 |
+
"step": 12
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.0,
|
78 |
+
"eval_accuracy": 0.9530516431924883,
|
79 |
+
"eval_best_threshold": 0.11066323518753052,
|
80 |
+
"eval_f1": 0.9759615384615384,
|
81 |
+
"eval_loss": 0.6775969862937927,
|
82 |
+
"eval_pr_auc": 0.9570451344092105,
|
83 |
+
"eval_precision": 0.9530516431924883,
|
84 |
+
"eval_recall": 1.0,
|
85 |
+
"eval_roc_auc": 0.4647783251231527,
|
86 |
+
"eval_runtime": 4.3875,
|
87 |
+
"eval_samples_per_second": 48.547,
|
88 |
+
"eval_steps_per_second": 0.912,
|
89 |
+
"step": 12
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 3.857142857142857,
|
93 |
+
"grad_norm": 2.0180256366729736,
|
94 |
+
"learning_rate": 0.000499716834795752,
|
95 |
+
"loss": 0.7296,
|
96 |
+
"step": 15
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 4.0,
|
100 |
+
"eval_accuracy": 0.9577464788732394,
|
101 |
+
"eval_best_threshold": 0.488298624753952,
|
102 |
+
"eval_f1": 0.9783132530120482,
|
103 |
+
"eval_loss": 0.6953739523887634,
|
104 |
+
"eval_pr_auc": 0.9387681415619215,
|
105 |
+
"eval_precision": 0.9575471698113207,
|
106 |
+
"eval_recall": 1.0,
|
107 |
+
"eval_roc_auc": 0.3980295566502463,
|
108 |
+
"eval_runtime": 3.9434,
|
109 |
+
"eval_samples_per_second": 54.014,
|
110 |
+
"eval_steps_per_second": 1.014,
|
111 |
+
"step": 16
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 4.571428571428571,
|
115 |
+
"grad_norm": 0.6065838932991028,
|
116 |
+
"learning_rate": 0.0004994966691179711,
|
117 |
+
"loss": 0.5691,
|
118 |
+
"step": 18
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 5.0,
|
122 |
+
"eval_accuracy": 0.9577464788732394,
|
123 |
+
"eval_best_threshold": 0.4559290409088135,
|
124 |
+
"eval_f1": 0.9783132530120482,
|
125 |
+
"eval_loss": 0.6963727474212646,
|
126 |
+
"eval_pr_auc": 0.9437271902417405,
|
127 |
+
"eval_precision": 0.9575471698113207,
|
128 |
+
"eval_recall": 1.0,
|
129 |
+
"eval_roc_auc": 0.42167487684729066,
|
130 |
+
"eval_runtime": 4.451,
|
131 |
+
"eval_samples_per_second": 47.854,
|
132 |
+
"eval_steps_per_second": 0.899,
|
133 |
+
"step": 20
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 5.285714285714286,
|
137 |
+
"grad_norm": 0.7243921160697937,
|
138 |
+
"learning_rate": 0.0004992136939879857,
|
139 |
+
"loss": 0.5782,
|
140 |
+
"step": 21
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 6.0,
|
144 |
+
"grad_norm": 0.2275872528553009,
|
145 |
+
"learning_rate": 0.0004988679806432712,
|
146 |
+
"loss": 0.5628,
|
147 |
+
"step": 24
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 6.0,
|
151 |
+
"eval_accuracy": 0.9624413145539906,
|
152 |
+
"eval_best_threshold": 0.40434572100639343,
|
153 |
+
"eval_f1": 0.9806763285024155,
|
154 |
+
"eval_loss": 0.6847261786460876,
|
155 |
+
"eval_pr_auc": 0.9548760246480454,
|
156 |
+
"eval_precision": 0.9620853080568721,
|
157 |
+
"eval_recall": 1.0,
|
158 |
+
"eval_roc_auc": 0.5586206896551724,
|
159 |
+
"eval_runtime": 4.6725,
|
160 |
+
"eval_samples_per_second": 45.586,
|
161 |
+
"eval_steps_per_second": 0.856,
|
162 |
+
"step": 24
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 6.857142857142857,
|
166 |
+
"grad_norm": 1.0703548192977905,
|
167 |
+
"learning_rate": 0.0004984596161153135,
|
168 |
+
"loss": 0.6532,
|
169 |
+
"step": 27
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 7.0,
|
173 |
+
"eval_accuracy": 0.9624413145539906,
|
174 |
+
"eval_best_threshold": 0.3936326503753662,
|
175 |
+
"eval_f1": 0.9805825242718447,
|
176 |
+
"eval_loss": 0.6566980481147766,
|
177 |
+
"eval_pr_auc": 0.9620782247005666,
|
178 |
+
"eval_precision": 0.9665071770334929,
|
179 |
+
"eval_recall": 0.9950738916256158,
|
180 |
+
"eval_roc_auc": 0.5571428571428572,
|
181 |
+
"eval_runtime": 4.3448,
|
182 |
+
"eval_samples_per_second": 49.024,
|
183 |
+
"eval_steps_per_second": 0.921,
|
184 |
+
"step": 28
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 7.571428571428571,
|
188 |
+
"grad_norm": 2.041855573654175,
|
189 |
+
"learning_rate": 0.0004979887032076989,
|
190 |
+
"loss": 0.5593,
|
191 |
+
"step": 30
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 8.0,
|
195 |
+
"eval_accuracy": 0.9624413145539906,
|
196 |
+
"eval_best_threshold": 0.2755194306373596,
|
197 |
+
"eval_f1": 0.9806763285024155,
|
198 |
+
"eval_loss": 0.6331985592842102,
|
199 |
+
"eval_pr_auc": 0.9751121096020542,
|
200 |
+
"eval_precision": 0.9620853080568721,
|
201 |
+
"eval_recall": 1.0,
|
202 |
+
"eval_roc_auc": 0.6586206896551724,
|
203 |
+
"eval_runtime": 4.7804,
|
204 |
+
"eval_samples_per_second": 44.557,
|
205 |
+
"eval_steps_per_second": 0.837,
|
206 |
+
"step": 32
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 8.285714285714286,
|
210 |
+
"grad_norm": 0.8734021186828613,
|
211 |
+
"learning_rate": 0.0004974553604702333,
|
212 |
+
"loss": 0.5002,
|
213 |
+
"step": 33
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 9.0,
|
217 |
+
"grad_norm": Infinity,
|
218 |
+
"learning_rate": 0.0004970651810649666,
|
219 |
+
"loss": 0.5346,
|
220 |
+
"step": 36
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 9.0,
|
224 |
+
"eval_accuracy": 0.9577464788732394,
|
225 |
+
"eval_best_threshold": 0.14823205769062042,
|
226 |
+
"eval_f1": 0.9783132530120482,
|
227 |
+
"eval_loss": 0.6035900712013245,
|
228 |
+
"eval_pr_auc": 0.9819011692535515,
|
229 |
+
"eval_precision": 0.9575471698113207,
|
230 |
+
"eval_recall": 1.0,
|
231 |
+
"eval_roc_auc": 0.7339901477832512,
|
232 |
+
"eval_runtime": 4.0039,
|
233 |
+
"eval_samples_per_second": 53.198,
|
234 |
+
"eval_steps_per_second": 0.999,
|
235 |
+
"step": 36
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 9.857142857142858,
|
239 |
+
"grad_norm": 1.1991403102874756,
|
240 |
+
"learning_rate": 0.0004964280947263676,
|
241 |
+
"loss": 0.5955,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 10.0,
|
246 |
+
"eval_accuracy": 0.9624413145539906,
|
247 |
+
"eval_best_threshold": 0.5386950373649597,
|
248 |
+
"eval_f1": 0.9805825242718447,
|
249 |
+
"eval_loss": 0.6214358806610107,
|
250 |
+
"eval_pr_auc": 0.9624581599102329,
|
251 |
+
"eval_precision": 0.9665071770334929,
|
252 |
+
"eval_recall": 0.9950738916256158,
|
253 |
+
"eval_roc_auc": 0.6002463054187192,
|
254 |
+
"eval_runtime": 4.5609,
|
255 |
+
"eval_samples_per_second": 46.701,
|
256 |
+
"eval_steps_per_second": 0.877,
|
257 |
+
"step": 40
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.571428571428571,
|
261 |
+
"grad_norm": 2.6938207149505615,
|
262 |
+
"learning_rate": 0.0004957289714327572,
|
263 |
+
"loss": 0.4496,
|
264 |
+
"step": 42
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 11.0,
|
268 |
+
"eval_accuracy": 0.9530516431924883,
|
269 |
+
"eval_best_threshold": 0.04157886654138565,
|
270 |
+
"eval_f1": 0.9759615384615384,
|
271 |
+
"eval_loss": 0.8543573617935181,
|
272 |
+
"eval_pr_auc": 0.9879501355451374,
|
273 |
+
"eval_precision": 0.9530516431924883,
|
274 |
+
"eval_recall": 1.0,
|
275 |
+
"eval_roc_auc": 0.7901477832512316,
|
276 |
+
"eval_runtime": 4.6335,
|
277 |
+
"eval_samples_per_second": 45.969,
|
278 |
+
"eval_steps_per_second": 0.863,
|
279 |
+
"step": 44
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 11.285714285714286,
|
283 |
+
"grad_norm": 3.554097890853882,
|
284 |
+
"learning_rate": 0.0004949679871846857,
|
285 |
+
"loss": 0.6118,
|
286 |
+
"step": 45
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 12.0,
|
290 |
+
"grad_norm": 2.869584083557129,
|
291 |
+
"learning_rate": 0.0004941453335558681,
|
292 |
+
"loss": 0.6877,
|
293 |
+
"step": 48
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 12.0,
|
297 |
+
"eval_accuracy": 0.9530516431924883,
|
298 |
+
"eval_best_threshold": 0.17342814803123474,
|
299 |
+
"eval_f1": 0.9759615384615384,
|
300 |
+
"eval_loss": 0.5579107403755188,
|
301 |
+
"eval_pr_auc": 0.9873731974164195,
|
302 |
+
"eval_precision": 0.9530516431924883,
|
303 |
+
"eval_recall": 1.0,
|
304 |
+
"eval_roc_auc": 0.7891625615763547,
|
305 |
+
"eval_runtime": 4.1544,
|
306 |
+
"eval_samples_per_second": 51.271,
|
307 |
+
"eval_steps_per_second": 0.963,
|
308 |
+
"step": 48
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 12.857142857142858,
|
312 |
+
"grad_norm": 1.1457290649414062,
|
313 |
+
"learning_rate": 0.0004932612176449559,
|
314 |
+
"loss": 0.5374,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 13.0,
|
319 |
+
"eval_accuracy": 0.9624413145539906,
|
320 |
+
"eval_best_threshold": 0.5808722376823425,
|
321 |
+
"eval_f1": 0.9806763285024155,
|
322 |
+
"eval_loss": 0.5983880758285522,
|
323 |
+
"eval_pr_auc": 0.9837750859728142,
|
324 |
+
"eval_precision": 0.9620853080568721,
|
325 |
+
"eval_recall": 1.0,
|
326 |
+
"eval_roc_auc": 0.7578817733990147,
|
327 |
+
"eval_runtime": 4.6879,
|
328 |
+
"eval_samples_per_second": 45.436,
|
329 |
+
"eval_steps_per_second": 0.853,
|
330 |
+
"step": 52
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 13.571428571428571,
|
334 |
+
"grad_norm": 2.2151918411254883,
|
335 |
+
"learning_rate": 0.000492315862023402,
|
336 |
+
"loss": 0.5329,
|
337 |
+
"step": 54
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 14.0,
|
341 |
+
"eval_accuracy": 0.9624413145539906,
|
342 |
+
"eval_best_threshold": 0.1792430430650711,
|
343 |
+
"eval_f1": 0.9806763285024155,
|
344 |
+
"eval_loss": 0.5941116213798523,
|
345 |
+
"eval_pr_auc": 0.987113937851267,
|
346 |
+
"eval_precision": 0.9620853080568721,
|
347 |
+
"eval_recall": 1.0,
|
348 |
+
"eval_roc_auc": 0.7970443349753695,
|
349 |
+
"eval_runtime": 4.3199,
|
350 |
+
"eval_samples_per_second": 49.306,
|
351 |
+
"eval_steps_per_second": 0.926,
|
352 |
+
"step": 56
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 14.285714285714286,
|
356 |
+
"grad_norm": 2.5402119159698486,
|
357 |
+
"learning_rate": 0.0004913095046794281,
|
358 |
+
"loss": 0.4644,
|
359 |
+
"step": 57
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 15.0,
|
363 |
+
"grad_norm": 2.0666849613189697,
|
364 |
+
"learning_rate": 0.0004902423989581143,
|
365 |
+
"loss": 0.5655,
|
366 |
+
"step": 60
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 15.0,
|
370 |
+
"eval_accuracy": 0.9671361502347418,
|
371 |
+
"eval_best_threshold": 0.09999631345272064,
|
372 |
+
"eval_f1": 0.9830508474576272,
|
373 |
+
"eval_loss": 0.6284329891204834,
|
374 |
+
"eval_pr_auc": 0.9873903178253213,
|
375 |
+
"eval_precision": 0.9666666666666667,
|
376 |
+
"eval_recall": 1.0,
|
377 |
+
"eval_roc_auc": 0.8014778325123153,
|
378 |
+
"eval_runtime": 3.9163,
|
379 |
+
"eval_samples_per_second": 54.388,
|
380 |
+
"eval_steps_per_second": 1.021,
|
381 |
+
"step": 60
|
382 |
+
}
|
383 |
+
],
|
384 |
+
"logging_steps": 3,
|
385 |
+
"max_steps": 600,
|
386 |
+
"num_input_tokens_seen": 0,
|
387 |
+
"num_train_epochs": 200,
|
388 |
+
"save_steps": 500,
|
389 |
+
"stateful_callbacks": {
|
390 |
+
"EarlyStoppingCallback": {
|
391 |
+
"args": {
|
392 |
+
"early_stopping_patience": 20,
|
393 |
+
"early_stopping_threshold": 0.0
|
394 |
+
},
|
395 |
+
"attributes": {
|
396 |
+
"early_stopping_patience_counter": 0
|
397 |
+
}
|
398 |
+
},
|
399 |
+
"TrainerControl": {
|
400 |
+
"args": {
|
401 |
+
"should_epoch_stop": false,
|
402 |
+
"should_evaluate": false,
|
403 |
+
"should_log": false,
|
404 |
+
"should_save": true,
|
405 |
+
"should_training_stop": false
|
406 |
+
},
|
407 |
+
"attributes": {}
|
408 |
+
}
|
409 |
+
},
|
410 |
+
"total_flos": 4.5520308360393523e+18,
|
411 |
+
"train_batch_size": 128,
|
412 |
+
"trial_name": null,
|
413 |
+
"trial_params": null
|
414 |
+
}
|
checkpoint-60/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f603d30a49833e95de39ef9d1ed2771533f8d9b708df00b15be6b4ad228368bd
|
3 |
+
size 5368
|
config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 1024,
|
11 |
+
"image_size": 256,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 4096,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"model_type": "vit",
|
16 |
+
"num_attention_heads": 16,
|
17 |
+
"num_channels": 3,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"patch_size": 16,
|
20 |
+
"problem_type": "single_label_classification",
|
21 |
+
"qkv_bias": true,
|
22 |
+
"torch_dtype": "float32",
|
23 |
+
"transformers_version": "4.49.0"
|
24 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7de864ac2885746ef4be671e778f1df03aee0141c6847dbba7da6de34864c462
|
3 |
+
size 1213507024
|
pr_curve.png
ADDED
![]() |
preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": false,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
11 |
+
"image_processor_type": "ViTFeatureExtractor",
|
12 |
+
"image_std": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 224,
|
21 |
+
"width": 224
|
22 |
+
}
|
23 |
+
}
|
roc_curve.png
ADDED
![]() |
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f603d30a49833e95de39ef9d1ed2771533f8d9b708df00b15be6b4ad228368bd
|
3 |
+
size 5368
|