Upload folder using huggingface_hub
Browse files- README.md +31 -0
- checkpoint-240/config.json +50 -0
- checkpoint-240/model.safetensors +3 -0
- checkpoint-240/optimizer.pt +3 -0
- checkpoint-240/rng_state.pth +3 -0
- checkpoint-240/scheduler.pt +3 -0
- checkpoint-240/trainer_state.json +2112 -0
- checkpoint-240/training_args.bin +3 -0
- config.json +50 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Aug17_22-05-12_tufta/events.out.tfevents.1723946712.tufta.52761.0 +2 -2
- runs/Aug17_22-05-12_tufta/events.out.tfevents.1723947259.tufta.52761.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- image-classification
|
6 |
+
base_model: microsoft/resnet-50
|
7 |
+
widget:
|
8 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
9 |
+
example_title: Tiger
|
10 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
11 |
+
example_title: Teapot
|
12 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
13 |
+
example_title: Palace
|
14 |
+
---
|
15 |
+
|
16 |
+
# Model Trained Using AutoTrain
|
17 |
+
|
18 |
+
- Problem type: Image Classification
|
19 |
+
|
20 |
+
## Validation Metrics
|
21 |
+
loss: 0.5722106695175171
|
22 |
+
|
23 |
+
f1: 0.735632183908046
|
24 |
+
|
25 |
+
precision: 0.6037735849056604
|
26 |
+
|
27 |
+
recall: 0.9411764705882353
|
28 |
+
|
29 |
+
auc: 0.8161764705882353
|
30 |
+
|
31 |
+
accuracy: 0.6290322580645161
|
checkpoint-240/config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/resnet-50",
|
3 |
+
"_num_labels": 2,
|
4 |
+
"architectures": [
|
5 |
+
"ResNetForImageClassification"
|
6 |
+
],
|
7 |
+
"depths": [
|
8 |
+
3,
|
9 |
+
4,
|
10 |
+
6,
|
11 |
+
3
|
12 |
+
],
|
13 |
+
"downsample_in_bottleneck": false,
|
14 |
+
"downsample_in_first_stage": false,
|
15 |
+
"embedding_size": 64,
|
16 |
+
"hidden_act": "relu",
|
17 |
+
"hidden_sizes": [
|
18 |
+
256,
|
19 |
+
512,
|
20 |
+
1024,
|
21 |
+
2048
|
22 |
+
],
|
23 |
+
"id2label": {
|
24 |
+
"0": "no",
|
25 |
+
"1": "yes"
|
26 |
+
},
|
27 |
+
"label2id": {
|
28 |
+
"no": 0,
|
29 |
+
"yes": 1
|
30 |
+
},
|
31 |
+
"layer_type": "bottleneck",
|
32 |
+
"model_type": "resnet",
|
33 |
+
"num_channels": 3,
|
34 |
+
"out_features": [
|
35 |
+
"stage4"
|
36 |
+
],
|
37 |
+
"out_indices": [
|
38 |
+
4
|
39 |
+
],
|
40 |
+
"problem_type": "single_label_classification",
|
41 |
+
"stage_names": [
|
42 |
+
"stem",
|
43 |
+
"stage1",
|
44 |
+
"stage2",
|
45 |
+
"stage3",
|
46 |
+
"stage4"
|
47 |
+
],
|
48 |
+
"torch_dtype": "float32",
|
49 |
+
"transformers_version": "4.44.0"
|
50 |
+
}
|
checkpoint-240/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6c6678a7274fb49e5b5ede268a85d8f38c72aeabf3712bc5b538679fb32de93
|
3 |
+
size 94302952
|
checkpoint-240/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:deb4fb7af6c00d51f2c142b480dfdc50f02749fe68e5ebc79c8f0c426541f447
|
3 |
+
size 188232506
|
checkpoint-240/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa86a953624f05ce5c6d8e5f224346a30acee2db1d51b77d73c616b4eb1f610f
|
3 |
+
size 14244
|
checkpoint-240/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31bd3a7c043a920fa9d42d76ca7177ae7305d5080d4499e4cc88437da95cab4c
|
3 |
+
size 1064
|
checkpoint-240/trainer_state.json
ADDED
@@ -0,0 +1,2112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5722106695175171,
|
3 |
+
"best_model_checkpoint": "prostate-mri-T2w-v02/checkpoint-240",
|
4 |
+
"epoch": 30.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 240,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.125,
|
13 |
+
"grad_norm": 5.07865571975708,
|
14 |
+
"learning_rate": 1.25e-06,
|
15 |
+
"loss": 0.6886,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.25,
|
20 |
+
"grad_norm": 3.828888177871704,
|
21 |
+
"learning_rate": 2.5e-06,
|
22 |
+
"loss": 0.6783,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.375,
|
27 |
+
"grad_norm": 3.864379644393921,
|
28 |
+
"learning_rate": 3.75e-06,
|
29 |
+
"loss": 0.6866,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.5,
|
34 |
+
"grad_norm": 4.327669620513916,
|
35 |
+
"learning_rate": 5e-06,
|
36 |
+
"loss": 0.6936,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.625,
|
41 |
+
"grad_norm": 3.5544910430908203,
|
42 |
+
"learning_rate": 6.25e-06,
|
43 |
+
"loss": 0.7003,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.75,
|
48 |
+
"grad_norm": 7.40487813949585,
|
49 |
+
"learning_rate": 7.5e-06,
|
50 |
+
"loss": 0.6924,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.875,
|
55 |
+
"grad_norm": 5.0727972984313965,
|
56 |
+
"learning_rate": 8.75e-06,
|
57 |
+
"loss": 0.6835,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.0,
|
62 |
+
"grad_norm": 5.4314188957214355,
|
63 |
+
"learning_rate": 1e-05,
|
64 |
+
"loss": 0.6976,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.0,
|
69 |
+
"eval_accuracy": 0.41935483870967744,
|
70 |
+
"eval_auc": 0.3960084033613446,
|
71 |
+
"eval_f1": 0.55,
|
72 |
+
"eval_loss": 0.6989667415618896,
|
73 |
+
"eval_precision": 0.4782608695652174,
|
74 |
+
"eval_recall": 0.6470588235294118,
|
75 |
+
"eval_runtime": 1.0166,
|
76 |
+
"eval_samples_per_second": 60.987,
|
77 |
+
"eval_steps_per_second": 0.984,
|
78 |
+
"step": 8
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 1.125,
|
82 |
+
"grad_norm": 6.988642692565918,
|
83 |
+
"learning_rate": 1.125e-05,
|
84 |
+
"loss": 0.6868,
|
85 |
+
"step": 9
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 1.25,
|
89 |
+
"grad_norm": 6.287717342376709,
|
90 |
+
"learning_rate": 1.25e-05,
|
91 |
+
"loss": 0.6914,
|
92 |
+
"step": 10
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.375,
|
96 |
+
"grad_norm": 4.172554016113281,
|
97 |
+
"learning_rate": 1.3750000000000002e-05,
|
98 |
+
"loss": 0.6914,
|
99 |
+
"step": 11
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1.5,
|
103 |
+
"grad_norm": 4.629329681396484,
|
104 |
+
"learning_rate": 1.5e-05,
|
105 |
+
"loss": 0.6975,
|
106 |
+
"step": 12
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 1.625,
|
110 |
+
"grad_norm": 2.8630337715148926,
|
111 |
+
"learning_rate": 1.6250000000000002e-05,
|
112 |
+
"loss": 0.6849,
|
113 |
+
"step": 13
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.75,
|
117 |
+
"grad_norm": 4.219947338104248,
|
118 |
+
"learning_rate": 1.75e-05,
|
119 |
+
"loss": 0.6846,
|
120 |
+
"step": 14
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 1.875,
|
124 |
+
"grad_norm": 6.524469375610352,
|
125 |
+
"learning_rate": 1.8750000000000002e-05,
|
126 |
+
"loss": 0.6821,
|
127 |
+
"step": 15
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 2.0,
|
131 |
+
"grad_norm": 7.466086387634277,
|
132 |
+
"learning_rate": 2e-05,
|
133 |
+
"loss": 0.7024,
|
134 |
+
"step": 16
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 2.0,
|
138 |
+
"eval_accuracy": 0.45161290322580644,
|
139 |
+
"eval_auc": 0.4338235294117647,
|
140 |
+
"eval_f1": 0.5641025641025641,
|
141 |
+
"eval_loss": 0.6980215311050415,
|
142 |
+
"eval_precision": 0.5,
|
143 |
+
"eval_recall": 0.6470588235294118,
|
144 |
+
"eval_runtime": 0.9794,
|
145 |
+
"eval_samples_per_second": 63.306,
|
146 |
+
"eval_steps_per_second": 1.021,
|
147 |
+
"step": 16
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 2.125,
|
151 |
+
"grad_norm": 4.021885871887207,
|
152 |
+
"learning_rate": 2.125e-05,
|
153 |
+
"loss": 0.6912,
|
154 |
+
"step": 17
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 2.25,
|
158 |
+
"grad_norm": 4.557158946990967,
|
159 |
+
"learning_rate": 2.25e-05,
|
160 |
+
"loss": 0.6799,
|
161 |
+
"step": 18
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 2.375,
|
165 |
+
"grad_norm": 5.540194034576416,
|
166 |
+
"learning_rate": 2.375e-05,
|
167 |
+
"loss": 0.6875,
|
168 |
+
"step": 19
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 2.5,
|
172 |
+
"grad_norm": 4.831681251525879,
|
173 |
+
"learning_rate": 2.5e-05,
|
174 |
+
"loss": 0.6932,
|
175 |
+
"step": 20
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 2.625,
|
179 |
+
"grad_norm": 4.978184700012207,
|
180 |
+
"learning_rate": 2.625e-05,
|
181 |
+
"loss": 0.6936,
|
182 |
+
"step": 21
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.75,
|
186 |
+
"grad_norm": 5.5205183029174805,
|
187 |
+
"learning_rate": 2.7500000000000004e-05,
|
188 |
+
"loss": 0.6938,
|
189 |
+
"step": 22
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 2.875,
|
193 |
+
"grad_norm": 3.865920066833496,
|
194 |
+
"learning_rate": 2.8749999999999997e-05,
|
195 |
+
"loss": 0.6843,
|
196 |
+
"step": 23
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 3.0,
|
200 |
+
"grad_norm": 4.337780952453613,
|
201 |
+
"learning_rate": 3e-05,
|
202 |
+
"loss": 0.6928,
|
203 |
+
"step": 24
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 3.0,
|
207 |
+
"eval_accuracy": 0.43548387096774194,
|
208 |
+
"eval_auc": 0.4495798319327731,
|
209 |
+
"eval_f1": 0.5569620253164557,
|
210 |
+
"eval_loss": 0.6971396803855896,
|
211 |
+
"eval_precision": 0.4888888888888889,
|
212 |
+
"eval_recall": 0.6470588235294118,
|
213 |
+
"eval_runtime": 0.9879,
|
214 |
+
"eval_samples_per_second": 62.76,
|
215 |
+
"eval_steps_per_second": 1.012,
|
216 |
+
"step": 24
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 3.125,
|
220 |
+
"grad_norm": 4.5307183265686035,
|
221 |
+
"learning_rate": 3.125e-05,
|
222 |
+
"loss": 0.6832,
|
223 |
+
"step": 25
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 3.25,
|
227 |
+
"grad_norm": 5.817195415496826,
|
228 |
+
"learning_rate": 3.2500000000000004e-05,
|
229 |
+
"loss": 0.6974,
|
230 |
+
"step": 26
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 3.375,
|
234 |
+
"grad_norm": 5.624639987945557,
|
235 |
+
"learning_rate": 3.375000000000001e-05,
|
236 |
+
"loss": 0.6887,
|
237 |
+
"step": 27
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 3.5,
|
241 |
+
"grad_norm": 3.9034228324890137,
|
242 |
+
"learning_rate": 3.5e-05,
|
243 |
+
"loss": 0.6785,
|
244 |
+
"step": 28
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 3.625,
|
248 |
+
"grad_norm": 4.566128253936768,
|
249 |
+
"learning_rate": 3.625e-05,
|
250 |
+
"loss": 0.7015,
|
251 |
+
"step": 29
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 3.75,
|
255 |
+
"grad_norm": 6.583543300628662,
|
256 |
+
"learning_rate": 3.7500000000000003e-05,
|
257 |
+
"loss": 0.702,
|
258 |
+
"step": 30
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 3.875,
|
262 |
+
"grad_norm": 7.036752700805664,
|
263 |
+
"learning_rate": 3.875e-05,
|
264 |
+
"loss": 0.6927,
|
265 |
+
"step": 31
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 4.0,
|
269 |
+
"grad_norm": 5.107030868530273,
|
270 |
+
"learning_rate": 4e-05,
|
271 |
+
"loss": 0.6653,
|
272 |
+
"step": 32
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 4.0,
|
276 |
+
"eval_accuracy": 0.4838709677419355,
|
277 |
+
"eval_auc": 0.4852941176470588,
|
278 |
+
"eval_f1": 0.5675675675675675,
|
279 |
+
"eval_loss": 0.6967616677284241,
|
280 |
+
"eval_precision": 0.525,
|
281 |
+
"eval_recall": 0.6176470588235294,
|
282 |
+
"eval_runtime": 0.991,
|
283 |
+
"eval_samples_per_second": 62.566,
|
284 |
+
"eval_steps_per_second": 1.009,
|
285 |
+
"step": 32
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 4.125,
|
289 |
+
"grad_norm": 4.981570243835449,
|
290 |
+
"learning_rate": 4.125e-05,
|
291 |
+
"loss": 0.7017,
|
292 |
+
"step": 33
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 4.25,
|
296 |
+
"grad_norm": 3.622739315032959,
|
297 |
+
"learning_rate": 4.25e-05,
|
298 |
+
"loss": 0.6758,
|
299 |
+
"step": 34
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 4.375,
|
303 |
+
"grad_norm": 5.434995651245117,
|
304 |
+
"learning_rate": 4.375e-05,
|
305 |
+
"loss": 0.6968,
|
306 |
+
"step": 35
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 4.5,
|
310 |
+
"grad_norm": 4.017066955566406,
|
311 |
+
"learning_rate": 4.5e-05,
|
312 |
+
"loss": 0.683,
|
313 |
+
"step": 36
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 4.625,
|
317 |
+
"grad_norm": 4.787411689758301,
|
318 |
+
"learning_rate": 4.6250000000000006e-05,
|
319 |
+
"loss": 0.6764,
|
320 |
+
"step": 37
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 4.75,
|
324 |
+
"grad_norm": 4.249538421630859,
|
325 |
+
"learning_rate": 4.75e-05,
|
326 |
+
"loss": 0.6991,
|
327 |
+
"step": 38
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 4.875,
|
331 |
+
"grad_norm": 5.653696060180664,
|
332 |
+
"learning_rate": 4.875e-05,
|
333 |
+
"loss": 0.6885,
|
334 |
+
"step": 39
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 5.0,
|
338 |
+
"grad_norm": 5.200787544250488,
|
339 |
+
"learning_rate": 5e-05,
|
340 |
+
"loss": 0.6848,
|
341 |
+
"step": 40
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 5.0,
|
345 |
+
"eval_accuracy": 0.5161290322580645,
|
346 |
+
"eval_auc": 0.5399159663865546,
|
347 |
+
"eval_f1": 0.6511627906976745,
|
348 |
+
"eval_loss": 0.6903982758522034,
|
349 |
+
"eval_precision": 0.5384615384615384,
|
350 |
+
"eval_recall": 0.8235294117647058,
|
351 |
+
"eval_runtime": 1.005,
|
352 |
+
"eval_samples_per_second": 61.689,
|
353 |
+
"eval_steps_per_second": 0.995,
|
354 |
+
"step": 40
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 5.125,
|
358 |
+
"grad_norm": 4.032499313354492,
|
359 |
+
"learning_rate": 4.986111111111111e-05,
|
360 |
+
"loss": 0.6794,
|
361 |
+
"step": 41
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 5.25,
|
365 |
+
"grad_norm": 4.394955158233643,
|
366 |
+
"learning_rate": 4.972222222222223e-05,
|
367 |
+
"loss": 0.673,
|
368 |
+
"step": 42
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 5.375,
|
372 |
+
"grad_norm": 5.790032863616943,
|
373 |
+
"learning_rate": 4.958333333333334e-05,
|
374 |
+
"loss": 0.6969,
|
375 |
+
"step": 43
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 5.5,
|
379 |
+
"grad_norm": 4.156627178192139,
|
380 |
+
"learning_rate": 4.9444444444444446e-05,
|
381 |
+
"loss": 0.6853,
|
382 |
+
"step": 44
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 5.625,
|
386 |
+
"grad_norm": 3.0575897693634033,
|
387 |
+
"learning_rate": 4.930555555555556e-05,
|
388 |
+
"loss": 0.6755,
|
389 |
+
"step": 45
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 5.75,
|
393 |
+
"grad_norm": 4.219117641448975,
|
394 |
+
"learning_rate": 4.9166666666666665e-05,
|
395 |
+
"loss": 0.6826,
|
396 |
+
"step": 46
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 5.875,
|
400 |
+
"grad_norm": 3.935350179672241,
|
401 |
+
"learning_rate": 4.902777777777778e-05,
|
402 |
+
"loss": 0.6813,
|
403 |
+
"step": 47
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 6.0,
|
407 |
+
"grad_norm": 4.679253578186035,
|
408 |
+
"learning_rate": 4.888888888888889e-05,
|
409 |
+
"loss": 0.6667,
|
410 |
+
"step": 48
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 6.0,
|
414 |
+
"eval_accuracy": 0.5645161290322581,
|
415 |
+
"eval_auc": 0.5215336134453782,
|
416 |
+
"eval_f1": 0.6966292134831461,
|
417 |
+
"eval_loss": 0.6905871033668518,
|
418 |
+
"eval_precision": 0.5636363636363636,
|
419 |
+
"eval_recall": 0.9117647058823529,
|
420 |
+
"eval_runtime": 1.0097,
|
421 |
+
"eval_samples_per_second": 61.407,
|
422 |
+
"eval_steps_per_second": 0.99,
|
423 |
+
"step": 48
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 6.125,
|
427 |
+
"grad_norm": 4.561873912811279,
|
428 |
+
"learning_rate": 4.875e-05,
|
429 |
+
"loss": 0.6643,
|
430 |
+
"step": 49
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 6.25,
|
434 |
+
"grad_norm": 4.74534797668457,
|
435 |
+
"learning_rate": 4.8611111111111115e-05,
|
436 |
+
"loss": 0.6741,
|
437 |
+
"step": 50
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 6.375,
|
441 |
+
"grad_norm": 3.879701614379883,
|
442 |
+
"learning_rate": 4.8472222222222224e-05,
|
443 |
+
"loss": 0.6821,
|
444 |
+
"step": 51
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 6.5,
|
448 |
+
"grad_norm": 5.187071800231934,
|
449 |
+
"learning_rate": 4.8333333333333334e-05,
|
450 |
+
"loss": 0.6826,
|
451 |
+
"step": 52
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 6.625,
|
455 |
+
"grad_norm": 3.905057668685913,
|
456 |
+
"learning_rate": 4.819444444444445e-05,
|
457 |
+
"loss": 0.6708,
|
458 |
+
"step": 53
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 6.75,
|
462 |
+
"grad_norm": 4.2086567878723145,
|
463 |
+
"learning_rate": 4.805555555555556e-05,
|
464 |
+
"loss": 0.6796,
|
465 |
+
"step": 54
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 6.875,
|
469 |
+
"grad_norm": 3.0969605445861816,
|
470 |
+
"learning_rate": 4.791666666666667e-05,
|
471 |
+
"loss": 0.668,
|
472 |
+
"step": 55
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 7.0,
|
476 |
+
"grad_norm": 9.05994987487793,
|
477 |
+
"learning_rate": 4.7777777777777784e-05,
|
478 |
+
"loss": 0.7063,
|
479 |
+
"step": 56
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 7.0,
|
483 |
+
"eval_accuracy": 0.5483870967741935,
|
484 |
+
"eval_auc": 0.6186974789915967,
|
485 |
+
"eval_f1": 0.7021276595744681,
|
486 |
+
"eval_loss": 0.6794354915618896,
|
487 |
+
"eval_precision": 0.55,
|
488 |
+
"eval_recall": 0.9705882352941176,
|
489 |
+
"eval_runtime": 1.0085,
|
490 |
+
"eval_samples_per_second": 61.479,
|
491 |
+
"eval_steps_per_second": 0.992,
|
492 |
+
"step": 56
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 7.125,
|
496 |
+
"grad_norm": 4.440723419189453,
|
497 |
+
"learning_rate": 4.7638888888888887e-05,
|
498 |
+
"loss": 0.6935,
|
499 |
+
"step": 57
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 7.25,
|
503 |
+
"grad_norm": 4.0728678703308105,
|
504 |
+
"learning_rate": 4.75e-05,
|
505 |
+
"loss": 0.6824,
|
506 |
+
"step": 58
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 7.375,
|
510 |
+
"grad_norm": 3.088693141937256,
|
511 |
+
"learning_rate": 4.736111111111111e-05,
|
512 |
+
"loss": 0.6808,
|
513 |
+
"step": 59
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 7.5,
|
517 |
+
"grad_norm": 3.818556547164917,
|
518 |
+
"learning_rate": 4.722222222222222e-05,
|
519 |
+
"loss": 0.6744,
|
520 |
+
"step": 60
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 7.625,
|
524 |
+
"grad_norm": 3.184988498687744,
|
525 |
+
"learning_rate": 4.708333333333334e-05,
|
526 |
+
"loss": 0.6768,
|
527 |
+
"step": 61
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 7.75,
|
531 |
+
"grad_norm": 4.454700946807861,
|
532 |
+
"learning_rate": 4.6944444444444446e-05,
|
533 |
+
"loss": 0.6506,
|
534 |
+
"step": 62
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 7.875,
|
538 |
+
"grad_norm": 4.876274108886719,
|
539 |
+
"learning_rate": 4.6805555555555556e-05,
|
540 |
+
"loss": 0.6422,
|
541 |
+
"step": 63
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 8.0,
|
545 |
+
"grad_norm": 5.91554069519043,
|
546 |
+
"learning_rate": 4.666666666666667e-05,
|
547 |
+
"loss": 0.6931,
|
548 |
+
"step": 64
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 8.0,
|
552 |
+
"eval_accuracy": 0.532258064516129,
|
553 |
+
"eval_auc": 0.6423319327731093,
|
554 |
+
"eval_f1": 0.6947368421052632,
|
555 |
+
"eval_loss": 0.6753401160240173,
|
556 |
+
"eval_precision": 0.5409836065573771,
|
557 |
+
"eval_recall": 0.9705882352941176,
|
558 |
+
"eval_runtime": 1.0222,
|
559 |
+
"eval_samples_per_second": 60.655,
|
560 |
+
"eval_steps_per_second": 0.978,
|
561 |
+
"step": 64
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 8.125,
|
565 |
+
"grad_norm": 4.071496486663818,
|
566 |
+
"learning_rate": 4.652777777777778e-05,
|
567 |
+
"loss": 0.6749,
|
568 |
+
"step": 65
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 8.25,
|
572 |
+
"grad_norm": 3.4611518383026123,
|
573 |
+
"learning_rate": 4.638888888888889e-05,
|
574 |
+
"loss": 0.6694,
|
575 |
+
"step": 66
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 8.375,
|
579 |
+
"grad_norm": 4.5895819664001465,
|
580 |
+
"learning_rate": 4.6250000000000006e-05,
|
581 |
+
"loss": 0.7015,
|
582 |
+
"step": 67
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 8.5,
|
586 |
+
"grad_norm": 4.686936855316162,
|
587 |
+
"learning_rate": 4.6111111111111115e-05,
|
588 |
+
"loss": 0.6787,
|
589 |
+
"step": 68
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 8.625,
|
593 |
+
"grad_norm": 3.401395320892334,
|
594 |
+
"learning_rate": 4.5972222222222225e-05,
|
595 |
+
"loss": 0.6926,
|
596 |
+
"step": 69
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 8.75,
|
600 |
+
"grad_norm": 3.536426544189453,
|
601 |
+
"learning_rate": 4.5833333333333334e-05,
|
602 |
+
"loss": 0.6627,
|
603 |
+
"step": 70
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 8.875,
|
607 |
+
"grad_norm": 3.778151750564575,
|
608 |
+
"learning_rate": 4.569444444444444e-05,
|
609 |
+
"loss": 0.6442,
|
610 |
+
"step": 71
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 9.0,
|
614 |
+
"grad_norm": 6.234261989593506,
|
615 |
+
"learning_rate": 4.555555555555556e-05,
|
616 |
+
"loss": 0.6523,
|
617 |
+
"step": 72
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 9.0,
|
621 |
+
"eval_accuracy": 0.5645161290322581,
|
622 |
+
"eval_auc": 0.7058823529411765,
|
623 |
+
"eval_f1": 0.7157894736842105,
|
624 |
+
"eval_loss": 0.6739227175712585,
|
625 |
+
"eval_precision": 0.5573770491803278,
|
626 |
+
"eval_recall": 1.0,
|
627 |
+
"eval_runtime": 1.0275,
|
628 |
+
"eval_samples_per_second": 60.343,
|
629 |
+
"eval_steps_per_second": 0.973,
|
630 |
+
"step": 72
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 9.125,
|
634 |
+
"grad_norm": 4.165038585662842,
|
635 |
+
"learning_rate": 4.541666666666667e-05,
|
636 |
+
"loss": 0.6514,
|
637 |
+
"step": 73
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 9.25,
|
641 |
+
"grad_norm": 3.8884994983673096,
|
642 |
+
"learning_rate": 4.527777777777778e-05,
|
643 |
+
"loss": 0.675,
|
644 |
+
"step": 74
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 9.375,
|
648 |
+
"grad_norm": 5.685192108154297,
|
649 |
+
"learning_rate": 4.5138888888888894e-05,
|
650 |
+
"loss": 0.6752,
|
651 |
+
"step": 75
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 9.5,
|
655 |
+
"grad_norm": 4.592513084411621,
|
656 |
+
"learning_rate": 4.5e-05,
|
657 |
+
"loss": 0.6677,
|
658 |
+
"step": 76
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 9.625,
|
662 |
+
"grad_norm": 5.494269371032715,
|
663 |
+
"learning_rate": 4.486111111111111e-05,
|
664 |
+
"loss": 0.6667,
|
665 |
+
"step": 77
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 9.75,
|
669 |
+
"grad_norm": 6.602809429168701,
|
670 |
+
"learning_rate": 4.472222222222223e-05,
|
671 |
+
"loss": 0.6628,
|
672 |
+
"step": 78
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 9.875,
|
676 |
+
"grad_norm": 3.7969062328338623,
|
677 |
+
"learning_rate": 4.458333333333334e-05,
|
678 |
+
"loss": 0.6672,
|
679 |
+
"step": 79
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 10.0,
|
683 |
+
"grad_norm": 5.1374335289001465,
|
684 |
+
"learning_rate": 4.4444444444444447e-05,
|
685 |
+
"loss": 0.7172,
|
686 |
+
"step": 80
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 10.0,
|
690 |
+
"eval_accuracy": 0.5645161290322581,
|
691 |
+
"eval_auc": 0.7053571428571429,
|
692 |
+
"eval_f1": 0.7157894736842105,
|
693 |
+
"eval_loss": 0.6663622856140137,
|
694 |
+
"eval_precision": 0.5573770491803278,
|
695 |
+
"eval_recall": 1.0,
|
696 |
+
"eval_runtime": 1.2564,
|
697 |
+
"eval_samples_per_second": 49.346,
|
698 |
+
"eval_steps_per_second": 0.796,
|
699 |
+
"step": 80
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 10.125,
|
703 |
+
"grad_norm": 3.1226301193237305,
|
704 |
+
"learning_rate": 4.4305555555555556e-05,
|
705 |
+
"loss": 0.7158,
|
706 |
+
"step": 81
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 10.25,
|
710 |
+
"grad_norm": 5.638371467590332,
|
711 |
+
"learning_rate": 4.4166666666666665e-05,
|
712 |
+
"loss": 0.6515,
|
713 |
+
"step": 82
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 10.375,
|
717 |
+
"grad_norm": 4.971011638641357,
|
718 |
+
"learning_rate": 4.402777777777778e-05,
|
719 |
+
"loss": 0.6987,
|
720 |
+
"step": 83
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 10.5,
|
724 |
+
"grad_norm": 4.76828145980835,
|
725 |
+
"learning_rate": 4.388888888888889e-05,
|
726 |
+
"loss": 0.688,
|
727 |
+
"step": 84
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 10.625,
|
731 |
+
"grad_norm": 5.02163028717041,
|
732 |
+
"learning_rate": 4.375e-05,
|
733 |
+
"loss": 0.6373,
|
734 |
+
"step": 85
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 10.75,
|
738 |
+
"grad_norm": 4.078597068786621,
|
739 |
+
"learning_rate": 4.3611111111111116e-05,
|
740 |
+
"loss": 0.6154,
|
741 |
+
"step": 86
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 10.875,
|
745 |
+
"grad_norm": 4.060718059539795,
|
746 |
+
"learning_rate": 4.3472222222222225e-05,
|
747 |
+
"loss": 0.6974,
|
748 |
+
"step": 87
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 11.0,
|
752 |
+
"grad_norm": 4.6225666999816895,
|
753 |
+
"learning_rate": 4.3333333333333334e-05,
|
754 |
+
"loss": 0.6635,
|
755 |
+
"step": 88
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 11.0,
|
759 |
+
"eval_accuracy": 0.5806451612903226,
|
760 |
+
"eval_auc": 0.6675420168067228,
|
761 |
+
"eval_f1": 0.723404255319149,
|
762 |
+
"eval_loss": 0.6652597188949585,
|
763 |
+
"eval_precision": 0.5666666666666667,
|
764 |
+
"eval_recall": 1.0,
|
765 |
+
"eval_runtime": 1.0222,
|
766 |
+
"eval_samples_per_second": 60.651,
|
767 |
+
"eval_steps_per_second": 0.978,
|
768 |
+
"step": 88
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 11.125,
|
772 |
+
"grad_norm": 4.226655006408691,
|
773 |
+
"learning_rate": 4.319444444444445e-05,
|
774 |
+
"loss": 0.6581,
|
775 |
+
"step": 89
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 11.25,
|
779 |
+
"grad_norm": 4.332324028015137,
|
780 |
+
"learning_rate": 4.305555555555556e-05,
|
781 |
+
"loss": 0.6258,
|
782 |
+
"step": 90
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 11.375,
|
786 |
+
"grad_norm": 4.7362775802612305,
|
787 |
+
"learning_rate": 4.291666666666667e-05,
|
788 |
+
"loss": 0.6826,
|
789 |
+
"step": 91
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 11.5,
|
793 |
+
"grad_norm": 3.910616874694824,
|
794 |
+
"learning_rate": 4.277777777777778e-05,
|
795 |
+
"loss": 0.6767,
|
796 |
+
"step": 92
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 11.625,
|
800 |
+
"grad_norm": 3.6902244091033936,
|
801 |
+
"learning_rate": 4.263888888888889e-05,
|
802 |
+
"loss": 0.6954,
|
803 |
+
"step": 93
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 11.75,
|
807 |
+
"grad_norm": 6.192240238189697,
|
808 |
+
"learning_rate": 4.25e-05,
|
809 |
+
"loss": 0.6512,
|
810 |
+
"step": 94
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 11.875,
|
814 |
+
"grad_norm": 5.220276832580566,
|
815 |
+
"learning_rate": 4.236111111111111e-05,
|
816 |
+
"loss": 0.6326,
|
817 |
+
"step": 95
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 12.0,
|
821 |
+
"grad_norm": 5.584306716918945,
|
822 |
+
"learning_rate": 4.222222222222222e-05,
|
823 |
+
"loss": 0.7,
|
824 |
+
"step": 96
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 12.0,
|
828 |
+
"eval_accuracy": 0.5645161290322581,
|
829 |
+
"eval_auc": 0.6523109243697479,
|
830 |
+
"eval_f1": 0.7096774193548387,
|
831 |
+
"eval_loss": 0.6655430197715759,
|
832 |
+
"eval_precision": 0.559322033898305,
|
833 |
+
"eval_recall": 0.9705882352941176,
|
834 |
+
"eval_runtime": 1.0537,
|
835 |
+
"eval_samples_per_second": 58.841,
|
836 |
+
"eval_steps_per_second": 0.949,
|
837 |
+
"step": 96
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 12.125,
|
841 |
+
"grad_norm": 4.439757347106934,
|
842 |
+
"learning_rate": 4.208333333333334e-05,
|
843 |
+
"loss": 0.6559,
|
844 |
+
"step": 97
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 12.25,
|
848 |
+
"grad_norm": 5.144546031951904,
|
849 |
+
"learning_rate": 4.194444444444445e-05,
|
850 |
+
"loss": 0.6865,
|
851 |
+
"step": 98
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 12.375,
|
855 |
+
"grad_norm": 3.6267988681793213,
|
856 |
+
"learning_rate": 4.1805555555555556e-05,
|
857 |
+
"loss": 0.6373,
|
858 |
+
"step": 99
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 12.5,
|
862 |
+
"grad_norm": 5.765615940093994,
|
863 |
+
"learning_rate": 4.166666666666667e-05,
|
864 |
+
"loss": 0.6611,
|
865 |
+
"step": 100
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 12.625,
|
869 |
+
"grad_norm": 3.467578172683716,
|
870 |
+
"learning_rate": 4.152777777777778e-05,
|
871 |
+
"loss": 0.6743,
|
872 |
+
"step": 101
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 12.75,
|
876 |
+
"grad_norm": 5.960920333862305,
|
877 |
+
"learning_rate": 4.138888888888889e-05,
|
878 |
+
"loss": 0.6453,
|
879 |
+
"step": 102
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 12.875,
|
883 |
+
"grad_norm": 4.811793804168701,
|
884 |
+
"learning_rate": 4.125e-05,
|
885 |
+
"loss": 0.6481,
|
886 |
+
"step": 103
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 13.0,
|
890 |
+
"grad_norm": 6.307322025299072,
|
891 |
+
"learning_rate": 4.111111111111111e-05,
|
892 |
+
"loss": 0.6378,
|
893 |
+
"step": 104
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 13.0,
|
897 |
+
"eval_accuracy": 0.5161290322580645,
|
898 |
+
"eval_auc": 0.7253151260504203,
|
899 |
+
"eval_f1": 0.6808510638297872,
|
900 |
+
"eval_loss": 0.6621407866477966,
|
901 |
+
"eval_precision": 0.5333333333333333,
|
902 |
+
"eval_recall": 0.9411764705882353,
|
903 |
+
"eval_runtime": 1.051,
|
904 |
+
"eval_samples_per_second": 58.993,
|
905 |
+
"eval_steps_per_second": 0.952,
|
906 |
+
"step": 104
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 13.125,
|
910 |
+
"grad_norm": 3.2586889266967773,
|
911 |
+
"learning_rate": 4.0972222222222225e-05,
|
912 |
+
"loss": 0.6345,
|
913 |
+
"step": 105
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 13.25,
|
917 |
+
"grad_norm": 4.068896293640137,
|
918 |
+
"learning_rate": 4.0833333333333334e-05,
|
919 |
+
"loss": 0.6684,
|
920 |
+
"step": 106
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 13.375,
|
924 |
+
"grad_norm": 4.019279956817627,
|
925 |
+
"learning_rate": 4.0694444444444444e-05,
|
926 |
+
"loss": 0.6707,
|
927 |
+
"step": 107
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 13.5,
|
931 |
+
"grad_norm": 11.265647888183594,
|
932 |
+
"learning_rate": 4.055555555555556e-05,
|
933 |
+
"loss": 0.6451,
|
934 |
+
"step": 108
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 13.625,
|
938 |
+
"grad_norm": 3.7474427223205566,
|
939 |
+
"learning_rate": 4.041666666666667e-05,
|
940 |
+
"loss": 0.6574,
|
941 |
+
"step": 109
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 13.75,
|
945 |
+
"grad_norm": 3.5386738777160645,
|
946 |
+
"learning_rate": 4.027777777777778e-05,
|
947 |
+
"loss": 0.6499,
|
948 |
+
"step": 110
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 13.875,
|
952 |
+
"grad_norm": 4.487296104431152,
|
953 |
+
"learning_rate": 4.0138888888888894e-05,
|
954 |
+
"loss": 0.635,
|
955 |
+
"step": 111
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 14.0,
|
959 |
+
"grad_norm": 5.318592071533203,
|
960 |
+
"learning_rate": 4e-05,
|
961 |
+
"loss": 0.6661,
|
962 |
+
"step": 112
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 14.0,
|
966 |
+
"eval_accuracy": 0.5161290322580645,
|
967 |
+
"eval_auc": 0.7878151260504201,
|
968 |
+
"eval_f1": 0.6808510638297872,
|
969 |
+
"eval_loss": 0.6499494910240173,
|
970 |
+
"eval_precision": 0.5333333333333333,
|
971 |
+
"eval_recall": 0.9411764705882353,
|
972 |
+
"eval_runtime": 1.0543,
|
973 |
+
"eval_samples_per_second": 58.809,
|
974 |
+
"eval_steps_per_second": 0.949,
|
975 |
+
"step": 112
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 14.125,
|
979 |
+
"grad_norm": 4.820748329162598,
|
980 |
+
"learning_rate": 3.986111111111111e-05,
|
981 |
+
"loss": 0.6658,
|
982 |
+
"step": 113
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 14.25,
|
986 |
+
"grad_norm": 5.010680198669434,
|
987 |
+
"learning_rate": 3.972222222222222e-05,
|
988 |
+
"loss": 0.6368,
|
989 |
+
"step": 114
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 14.375,
|
993 |
+
"grad_norm": 4.729431629180908,
|
994 |
+
"learning_rate": 3.958333333333333e-05,
|
995 |
+
"loss": 0.6401,
|
996 |
+
"step": 115
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 14.5,
|
1000 |
+
"grad_norm": 3.62618088722229,
|
1001 |
+
"learning_rate": 3.944444444444445e-05,
|
1002 |
+
"loss": 0.6284,
|
1003 |
+
"step": 116
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 14.625,
|
1007 |
+
"grad_norm": 3.4717531204223633,
|
1008 |
+
"learning_rate": 3.9305555555555556e-05,
|
1009 |
+
"loss": 0.6988,
|
1010 |
+
"step": 117
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 14.75,
|
1014 |
+
"grad_norm": 5.191429615020752,
|
1015 |
+
"learning_rate": 3.9166666666666665e-05,
|
1016 |
+
"loss": 0.6581,
|
1017 |
+
"step": 118
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 14.875,
|
1021 |
+
"grad_norm": 4.230731964111328,
|
1022 |
+
"learning_rate": 3.902777777777778e-05,
|
1023 |
+
"loss": 0.6275,
|
1024 |
+
"step": 119
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 15.0,
|
1028 |
+
"grad_norm": 4.9688591957092285,
|
1029 |
+
"learning_rate": 3.888888888888889e-05,
|
1030 |
+
"loss": 0.6995,
|
1031 |
+
"step": 120
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 15.0,
|
1035 |
+
"eval_accuracy": 0.5645161290322581,
|
1036 |
+
"eval_auc": 0.7689075630252101,
|
1037 |
+
"eval_f1": 0.7157894736842105,
|
1038 |
+
"eval_loss": 0.6420426964759827,
|
1039 |
+
"eval_precision": 0.5573770491803278,
|
1040 |
+
"eval_recall": 1.0,
|
1041 |
+
"eval_runtime": 1.9681,
|
1042 |
+
"eval_samples_per_second": 31.502,
|
1043 |
+
"eval_steps_per_second": 0.508,
|
1044 |
+
"step": 120
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 15.125,
|
1048 |
+
"grad_norm": 5.159355163574219,
|
1049 |
+
"learning_rate": 3.875e-05,
|
1050 |
+
"loss": 0.6519,
|
1051 |
+
"step": 121
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 15.25,
|
1055 |
+
"grad_norm": 4.40577507019043,
|
1056 |
+
"learning_rate": 3.8611111111111116e-05,
|
1057 |
+
"loss": 0.6403,
|
1058 |
+
"step": 122
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 15.375,
|
1062 |
+
"grad_norm": 4.472173690795898,
|
1063 |
+
"learning_rate": 3.8472222222222225e-05,
|
1064 |
+
"loss": 0.631,
|
1065 |
+
"step": 123
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 15.5,
|
1069 |
+
"grad_norm": 4.416353702545166,
|
1070 |
+
"learning_rate": 3.8333333333333334e-05,
|
1071 |
+
"loss": 0.6754,
|
1072 |
+
"step": 124
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 15.625,
|
1076 |
+
"grad_norm": 4.293478965759277,
|
1077 |
+
"learning_rate": 3.8194444444444444e-05,
|
1078 |
+
"loss": 0.6077,
|
1079 |
+
"step": 125
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 15.75,
|
1083 |
+
"grad_norm": 6.2308573722839355,
|
1084 |
+
"learning_rate": 3.805555555555555e-05,
|
1085 |
+
"loss": 0.6856,
|
1086 |
+
"step": 126
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 15.875,
|
1090 |
+
"grad_norm": 5.293476581573486,
|
1091 |
+
"learning_rate": 3.791666666666667e-05,
|
1092 |
+
"loss": 0.6651,
|
1093 |
+
"step": 127
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 16.0,
|
1097 |
+
"grad_norm": 4.858785629272461,
|
1098 |
+
"learning_rate": 3.777777777777778e-05,
|
1099 |
+
"loss": 0.667,
|
1100 |
+
"step": 128
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 16.0,
|
1104 |
+
"eval_accuracy": 0.6129032258064516,
|
1105 |
+
"eval_auc": 0.8224789915966386,
|
1106 |
+
"eval_f1": 0.7391304347826086,
|
1107 |
+
"eval_loss": 0.6401523947715759,
|
1108 |
+
"eval_precision": 0.5862068965517241,
|
1109 |
+
"eval_recall": 1.0,
|
1110 |
+
"eval_runtime": 1.899,
|
1111 |
+
"eval_samples_per_second": 32.648,
|
1112 |
+
"eval_steps_per_second": 0.527,
|
1113 |
+
"step": 128
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 16.125,
|
1117 |
+
"grad_norm": 5.453197002410889,
|
1118 |
+
"learning_rate": 3.763888888888889e-05,
|
1119 |
+
"loss": 0.6408,
|
1120 |
+
"step": 129
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 16.25,
|
1124 |
+
"grad_norm": 3.673980951309204,
|
1125 |
+
"learning_rate": 3.7500000000000003e-05,
|
1126 |
+
"loss": 0.6495,
|
1127 |
+
"step": 130
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 16.375,
|
1131 |
+
"grad_norm": 4.425279140472412,
|
1132 |
+
"learning_rate": 3.736111111111111e-05,
|
1133 |
+
"loss": 0.7037,
|
1134 |
+
"step": 131
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 16.5,
|
1138 |
+
"grad_norm": 6.135858535766602,
|
1139 |
+
"learning_rate": 3.722222222222222e-05,
|
1140 |
+
"loss": 0.6355,
|
1141 |
+
"step": 132
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 16.625,
|
1145 |
+
"grad_norm": 5.035116195678711,
|
1146 |
+
"learning_rate": 3.708333333333334e-05,
|
1147 |
+
"loss": 0.6258,
|
1148 |
+
"step": 133
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 16.75,
|
1152 |
+
"grad_norm": 5.022816181182861,
|
1153 |
+
"learning_rate": 3.694444444444445e-05,
|
1154 |
+
"loss": 0.6282,
|
1155 |
+
"step": 134
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 16.875,
|
1159 |
+
"grad_norm": 5.77787446975708,
|
1160 |
+
"learning_rate": 3.6805555555555556e-05,
|
1161 |
+
"loss": 0.6772,
|
1162 |
+
"step": 135
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 17.0,
|
1166 |
+
"grad_norm": 4.462384223937988,
|
1167 |
+
"learning_rate": 3.6666666666666666e-05,
|
1168 |
+
"loss": 0.6323,
|
1169 |
+
"step": 136
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 17.0,
|
1173 |
+
"eval_accuracy": 0.5967741935483871,
|
1174 |
+
"eval_auc": 0.8067226890756303,
|
1175 |
+
"eval_f1": 0.7252747252747253,
|
1176 |
+
"eval_loss": 0.636435329914093,
|
1177 |
+
"eval_precision": 0.5789473684210527,
|
1178 |
+
"eval_recall": 0.9705882352941176,
|
1179 |
+
"eval_runtime": 2.1248,
|
1180 |
+
"eval_samples_per_second": 29.18,
|
1181 |
+
"eval_steps_per_second": 0.471,
|
1182 |
+
"step": 136
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 17.125,
|
1186 |
+
"grad_norm": 5.69638204574585,
|
1187 |
+
"learning_rate": 3.6527777777777775e-05,
|
1188 |
+
"loss": 0.7483,
|
1189 |
+
"step": 137
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 17.25,
|
1193 |
+
"grad_norm": 5.035621643066406,
|
1194 |
+
"learning_rate": 3.638888888888889e-05,
|
1195 |
+
"loss": 0.582,
|
1196 |
+
"step": 138
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 17.375,
|
1200 |
+
"grad_norm": 4.352199554443359,
|
1201 |
+
"learning_rate": 3.625e-05,
|
1202 |
+
"loss": 0.6365,
|
1203 |
+
"step": 139
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 17.5,
|
1207 |
+
"grad_norm": 3.4610562324523926,
|
1208 |
+
"learning_rate": 3.611111111111111e-05,
|
1209 |
+
"loss": 0.6649,
|
1210 |
+
"step": 140
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 17.625,
|
1214 |
+
"grad_norm": 3.9347448348999023,
|
1215 |
+
"learning_rate": 3.5972222222222225e-05,
|
1216 |
+
"loss": 0.6237,
|
1217 |
+
"step": 141
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 17.75,
|
1221 |
+
"grad_norm": 5.365068435668945,
|
1222 |
+
"learning_rate": 3.5833333333333335e-05,
|
1223 |
+
"loss": 0.663,
|
1224 |
+
"step": 142
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 17.875,
|
1228 |
+
"grad_norm": 3.5667879581451416,
|
1229 |
+
"learning_rate": 3.5694444444444444e-05,
|
1230 |
+
"loss": 0.6276,
|
1231 |
+
"step": 143
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 18.0,
|
1235 |
+
"grad_norm": 5.399511337280273,
|
1236 |
+
"learning_rate": 3.555555555555556e-05,
|
1237 |
+
"loss": 0.6042,
|
1238 |
+
"step": 144
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 18.0,
|
1242 |
+
"eval_accuracy": 0.5645161290322581,
|
1243 |
+
"eval_auc": 0.7668067226890757,
|
1244 |
+
"eval_f1": 0.7157894736842105,
|
1245 |
+
"eval_loss": 0.6346396803855896,
|
1246 |
+
"eval_precision": 0.5573770491803278,
|
1247 |
+
"eval_recall": 1.0,
|
1248 |
+
"eval_runtime": 1.8426,
|
1249 |
+
"eval_samples_per_second": 33.647,
|
1250 |
+
"eval_steps_per_second": 0.543,
|
1251 |
+
"step": 144
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 18.125,
|
1255 |
+
"grad_norm": 6.267144680023193,
|
1256 |
+
"learning_rate": 3.541666666666667e-05,
|
1257 |
+
"loss": 0.637,
|
1258 |
+
"step": 145
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 18.25,
|
1262 |
+
"grad_norm": 5.8084893226623535,
|
1263 |
+
"learning_rate": 3.527777777777778e-05,
|
1264 |
+
"loss": 0.6969,
|
1265 |
+
"step": 146
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 18.375,
|
1269 |
+
"grad_norm": 4.974161148071289,
|
1270 |
+
"learning_rate": 3.513888888888889e-05,
|
1271 |
+
"loss": 0.6304,
|
1272 |
+
"step": 147
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 18.5,
|
1276 |
+
"grad_norm": 3.7128164768218994,
|
1277 |
+
"learning_rate": 3.5e-05,
|
1278 |
+
"loss": 0.6409,
|
1279 |
+
"step": 148
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 18.625,
|
1283 |
+
"grad_norm": 3.934004306793213,
|
1284 |
+
"learning_rate": 3.486111111111111e-05,
|
1285 |
+
"loss": 0.6731,
|
1286 |
+
"step": 149
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 18.75,
|
1290 |
+
"grad_norm": 3.6201493740081787,
|
1291 |
+
"learning_rate": 3.472222222222222e-05,
|
1292 |
+
"loss": 0.6151,
|
1293 |
+
"step": 150
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 18.875,
|
1297 |
+
"grad_norm": 4.2509846687316895,
|
1298 |
+
"learning_rate": 3.458333333333333e-05,
|
1299 |
+
"loss": 0.6355,
|
1300 |
+
"step": 151
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 19.0,
|
1304 |
+
"grad_norm": 5.550896167755127,
|
1305 |
+
"learning_rate": 3.444444444444445e-05,
|
1306 |
+
"loss": 0.6246,
|
1307 |
+
"step": 152
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 19.0,
|
1311 |
+
"eval_accuracy": 0.6129032258064516,
|
1312 |
+
"eval_auc": 0.7956932773109244,
|
1313 |
+
"eval_f1": 0.7333333333333333,
|
1314 |
+
"eval_loss": 0.6221962571144104,
|
1315 |
+
"eval_precision": 0.5892857142857143,
|
1316 |
+
"eval_recall": 0.9705882352941176,
|
1317 |
+
"eval_runtime": 1.8313,
|
1318 |
+
"eval_samples_per_second": 33.856,
|
1319 |
+
"eval_steps_per_second": 0.546,
|
1320 |
+
"step": 152
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 19.125,
|
1324 |
+
"grad_norm": 6.814294338226318,
|
1325 |
+
"learning_rate": 3.430555555555556e-05,
|
1326 |
+
"loss": 0.6481,
|
1327 |
+
"step": 153
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 19.25,
|
1331 |
+
"grad_norm": 4.457539081573486,
|
1332 |
+
"learning_rate": 3.4166666666666666e-05,
|
1333 |
+
"loss": 0.6304,
|
1334 |
+
"step": 154
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 19.375,
|
1338 |
+
"grad_norm": 6.537652015686035,
|
1339 |
+
"learning_rate": 3.402777777777778e-05,
|
1340 |
+
"loss": 0.6383,
|
1341 |
+
"step": 155
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 19.5,
|
1345 |
+
"grad_norm": 4.554441452026367,
|
1346 |
+
"learning_rate": 3.388888888888889e-05,
|
1347 |
+
"loss": 0.6493,
|
1348 |
+
"step": 156
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 19.625,
|
1352 |
+
"grad_norm": 4.500042915344238,
|
1353 |
+
"learning_rate": 3.375000000000001e-05,
|
1354 |
+
"loss": 0.6182,
|
1355 |
+
"step": 157
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 19.75,
|
1359 |
+
"grad_norm": 3.971832752227783,
|
1360 |
+
"learning_rate": 3.3611111111111116e-05,
|
1361 |
+
"loss": 0.6368,
|
1362 |
+
"step": 158
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 19.875,
|
1366 |
+
"grad_norm": 4.7569379806518555,
|
1367 |
+
"learning_rate": 3.347222222222222e-05,
|
1368 |
+
"loss": 0.6299,
|
1369 |
+
"step": 159
|
1370 |
+
},
|
1371 |
+
{
|
1372 |
+
"epoch": 20.0,
|
1373 |
+
"grad_norm": 5.7485527992248535,
|
1374 |
+
"learning_rate": 3.3333333333333335e-05,
|
1375 |
+
"loss": 0.7056,
|
1376 |
+
"step": 160
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 20.0,
|
1380 |
+
"eval_accuracy": 0.5967741935483871,
|
1381 |
+
"eval_auc": 0.8140756302521008,
|
1382 |
+
"eval_f1": 0.7252747252747253,
|
1383 |
+
"eval_loss": 0.6149352788925171,
|
1384 |
+
"eval_precision": 0.5789473684210527,
|
1385 |
+
"eval_recall": 0.9705882352941176,
|
1386 |
+
"eval_runtime": 1.8264,
|
1387 |
+
"eval_samples_per_second": 33.946,
|
1388 |
+
"eval_steps_per_second": 0.548,
|
1389 |
+
"step": 160
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 20.125,
|
1393 |
+
"grad_norm": 6.883080005645752,
|
1394 |
+
"learning_rate": 3.3194444444444444e-05,
|
1395 |
+
"loss": 0.6857,
|
1396 |
+
"step": 161
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 20.25,
|
1400 |
+
"grad_norm": 5.485716819763184,
|
1401 |
+
"learning_rate": 3.3055555555555553e-05,
|
1402 |
+
"loss": 0.689,
|
1403 |
+
"step": 162
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 20.375,
|
1407 |
+
"grad_norm": 4.644085884094238,
|
1408 |
+
"learning_rate": 3.291666666666667e-05,
|
1409 |
+
"loss": 0.5933,
|
1410 |
+
"step": 163
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 20.5,
|
1414 |
+
"grad_norm": 4.706975936889648,
|
1415 |
+
"learning_rate": 3.277777777777778e-05,
|
1416 |
+
"loss": 0.6278,
|
1417 |
+
"step": 164
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 20.625,
|
1421 |
+
"grad_norm": 8.53987979888916,
|
1422 |
+
"learning_rate": 3.263888888888889e-05,
|
1423 |
+
"loss": 0.5889,
|
1424 |
+
"step": 165
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 20.75,
|
1428 |
+
"grad_norm": 5.014941215515137,
|
1429 |
+
"learning_rate": 3.2500000000000004e-05,
|
1430 |
+
"loss": 0.6179,
|
1431 |
+
"step": 166
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 20.875,
|
1435 |
+
"grad_norm": 5.296703338623047,
|
1436 |
+
"learning_rate": 3.236111111111111e-05,
|
1437 |
+
"loss": 0.6346,
|
1438 |
+
"step": 167
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 21.0,
|
1442 |
+
"grad_norm": 6.87127685546875,
|
1443 |
+
"learning_rate": 3.222222222222223e-05,
|
1444 |
+
"loss": 0.6363,
|
1445 |
+
"step": 168
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 21.0,
|
1449 |
+
"eval_accuracy": 0.6451612903225806,
|
1450 |
+
"eval_auc": 0.8188025210084033,
|
1451 |
+
"eval_f1": 0.7555555555555555,
|
1452 |
+
"eval_loss": 0.6101309061050415,
|
1453 |
+
"eval_precision": 0.6071428571428571,
|
1454 |
+
"eval_recall": 1.0,
|
1455 |
+
"eval_runtime": 1.8384,
|
1456 |
+
"eval_samples_per_second": 33.725,
|
1457 |
+
"eval_steps_per_second": 0.544,
|
1458 |
+
"step": 168
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 21.125,
|
1462 |
+
"grad_norm": 3.649150848388672,
|
1463 |
+
"learning_rate": 3.208333333333334e-05,
|
1464 |
+
"loss": 0.5961,
|
1465 |
+
"step": 169
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 21.25,
|
1469 |
+
"grad_norm": 5.5340962409973145,
|
1470 |
+
"learning_rate": 3.194444444444444e-05,
|
1471 |
+
"loss": 0.658,
|
1472 |
+
"step": 170
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 21.375,
|
1476 |
+
"grad_norm": 4.7374396324157715,
|
1477 |
+
"learning_rate": 3.180555555555556e-05,
|
1478 |
+
"loss": 0.6595,
|
1479 |
+
"step": 171
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 21.5,
|
1483 |
+
"grad_norm": 5.9304280281066895,
|
1484 |
+
"learning_rate": 3.1666666666666666e-05,
|
1485 |
+
"loss": 0.6111,
|
1486 |
+
"step": 172
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 21.625,
|
1490 |
+
"grad_norm": 4.608835697174072,
|
1491 |
+
"learning_rate": 3.1527777777777775e-05,
|
1492 |
+
"loss": 0.6172,
|
1493 |
+
"step": 173
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 21.75,
|
1497 |
+
"grad_norm": 6.680834770202637,
|
1498 |
+
"learning_rate": 3.138888888888889e-05,
|
1499 |
+
"loss": 0.6245,
|
1500 |
+
"step": 174
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 21.875,
|
1504 |
+
"grad_norm": 4.915333271026611,
|
1505 |
+
"learning_rate": 3.125e-05,
|
1506 |
+
"loss": 0.6208,
|
1507 |
+
"step": 175
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 22.0,
|
1511 |
+
"grad_norm": 6.438394546508789,
|
1512 |
+
"learning_rate": 3.111111111111111e-05,
|
1513 |
+
"loss": 0.6096,
|
1514 |
+
"step": 176
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 22.0,
|
1518 |
+
"eval_accuracy": 0.6129032258064516,
|
1519 |
+
"eval_auc": 0.8403361344537815,
|
1520 |
+
"eval_f1": 0.7333333333333333,
|
1521 |
+
"eval_loss": 0.6029170751571655,
|
1522 |
+
"eval_precision": 0.5892857142857143,
|
1523 |
+
"eval_recall": 0.9705882352941176,
|
1524 |
+
"eval_runtime": 1.8387,
|
1525 |
+
"eval_samples_per_second": 33.72,
|
1526 |
+
"eval_steps_per_second": 0.544,
|
1527 |
+
"step": 176
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 22.125,
|
1531 |
+
"grad_norm": 4.041502952575684,
|
1532 |
+
"learning_rate": 3.0972222222222226e-05,
|
1533 |
+
"loss": 0.6492,
|
1534 |
+
"step": 177
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 22.25,
|
1538 |
+
"grad_norm": 4.550416946411133,
|
1539 |
+
"learning_rate": 3.0833333333333335e-05,
|
1540 |
+
"loss": 0.5992,
|
1541 |
+
"step": 178
|
1542 |
+
},
|
1543 |
+
{
|
1544 |
+
"epoch": 22.375,
|
1545 |
+
"grad_norm": 4.022625923156738,
|
1546 |
+
"learning_rate": 3.069444444444445e-05,
|
1547 |
+
"loss": 0.6154,
|
1548 |
+
"step": 179
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 22.5,
|
1552 |
+
"grad_norm": 6.600803375244141,
|
1553 |
+
"learning_rate": 3.055555555555556e-05,
|
1554 |
+
"loss": 0.6168,
|
1555 |
+
"step": 180
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 22.625,
|
1559 |
+
"grad_norm": 5.327729225158691,
|
1560 |
+
"learning_rate": 3.0416666666666666e-05,
|
1561 |
+
"loss": 0.6605,
|
1562 |
+
"step": 181
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 22.75,
|
1566 |
+
"grad_norm": 6.26377010345459,
|
1567 |
+
"learning_rate": 3.0277777777777776e-05,
|
1568 |
+
"loss": 0.6669,
|
1569 |
+
"step": 182
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 22.875,
|
1573 |
+
"grad_norm": 6.820950508117676,
|
1574 |
+
"learning_rate": 3.0138888888888888e-05,
|
1575 |
+
"loss": 0.6306,
|
1576 |
+
"step": 183
|
1577 |
+
},
|
1578 |
+
{
|
1579 |
+
"epoch": 23.0,
|
1580 |
+
"grad_norm": 4.663633823394775,
|
1581 |
+
"learning_rate": 3e-05,
|
1582 |
+
"loss": 0.5631,
|
1583 |
+
"step": 184
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 23.0,
|
1587 |
+
"eval_accuracy": 0.6129032258064516,
|
1588 |
+
"eval_auc": 0.8413865546218487,
|
1589 |
+
"eval_f1": 0.7391304347826086,
|
1590 |
+
"eval_loss": 0.6036572456359863,
|
1591 |
+
"eval_precision": 0.5862068965517241,
|
1592 |
+
"eval_recall": 1.0,
|
1593 |
+
"eval_runtime": 1.8201,
|
1594 |
+
"eval_samples_per_second": 34.064,
|
1595 |
+
"eval_steps_per_second": 0.549,
|
1596 |
+
"step": 184
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 23.125,
|
1600 |
+
"grad_norm": 4.107852935791016,
|
1601 |
+
"learning_rate": 2.9861111111111113e-05,
|
1602 |
+
"loss": 0.5985,
|
1603 |
+
"step": 185
|
1604 |
+
},
|
1605 |
+
{
|
1606 |
+
"epoch": 23.25,
|
1607 |
+
"grad_norm": 3.9539260864257812,
|
1608 |
+
"learning_rate": 2.9722222222222223e-05,
|
1609 |
+
"loss": 0.5984,
|
1610 |
+
"step": 186
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 23.375,
|
1614 |
+
"grad_norm": 4.034968376159668,
|
1615 |
+
"learning_rate": 2.9583333333333335e-05,
|
1616 |
+
"loss": 0.6806,
|
1617 |
+
"step": 187
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 23.5,
|
1621 |
+
"grad_norm": 4.896390438079834,
|
1622 |
+
"learning_rate": 2.9444444444444448e-05,
|
1623 |
+
"loss": 0.6342,
|
1624 |
+
"step": 188
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 23.625,
|
1628 |
+
"grad_norm": 4.502488136291504,
|
1629 |
+
"learning_rate": 2.9305555555555557e-05,
|
1630 |
+
"loss": 0.6412,
|
1631 |
+
"step": 189
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 23.75,
|
1635 |
+
"grad_norm": 6.495486736297607,
|
1636 |
+
"learning_rate": 2.916666666666667e-05,
|
1637 |
+
"loss": 0.6085,
|
1638 |
+
"step": 190
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 23.875,
|
1642 |
+
"grad_norm": 3.62249755859375,
|
1643 |
+
"learning_rate": 2.9027777777777782e-05,
|
1644 |
+
"loss": 0.5709,
|
1645 |
+
"step": 191
|
1646 |
+
},
|
1647 |
+
{
|
1648 |
+
"epoch": 24.0,
|
1649 |
+
"grad_norm": 6.480982780456543,
|
1650 |
+
"learning_rate": 2.8888888888888888e-05,
|
1651 |
+
"loss": 0.6514,
|
1652 |
+
"step": 192
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 24.0,
|
1656 |
+
"eval_accuracy": 0.6129032258064516,
|
1657 |
+
"eval_auc": 0.8298319327731092,
|
1658 |
+
"eval_f1": 0.7391304347826086,
|
1659 |
+
"eval_loss": 0.6017356514930725,
|
1660 |
+
"eval_precision": 0.5862068965517241,
|
1661 |
+
"eval_recall": 1.0,
|
1662 |
+
"eval_runtime": 1.8234,
|
1663 |
+
"eval_samples_per_second": 34.002,
|
1664 |
+
"eval_steps_per_second": 0.548,
|
1665 |
+
"step": 192
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 24.125,
|
1669 |
+
"grad_norm": 3.940840244293213,
|
1670 |
+
"learning_rate": 2.8749999999999997e-05,
|
1671 |
+
"loss": 0.6404,
|
1672 |
+
"step": 193
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 24.25,
|
1676 |
+
"grad_norm": 4.030274391174316,
|
1677 |
+
"learning_rate": 2.861111111111111e-05,
|
1678 |
+
"loss": 0.5729,
|
1679 |
+
"step": 194
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 24.375,
|
1683 |
+
"grad_norm": 5.548068046569824,
|
1684 |
+
"learning_rate": 2.8472222222222223e-05,
|
1685 |
+
"loss": 0.6374,
|
1686 |
+
"step": 195
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 24.5,
|
1690 |
+
"grad_norm": 4.947794437408447,
|
1691 |
+
"learning_rate": 2.8333333333333335e-05,
|
1692 |
+
"loss": 0.6271,
|
1693 |
+
"step": 196
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 24.625,
|
1697 |
+
"grad_norm": 6.201533317565918,
|
1698 |
+
"learning_rate": 2.8194444444444445e-05,
|
1699 |
+
"loss": 0.6493,
|
1700 |
+
"step": 197
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 24.75,
|
1704 |
+
"grad_norm": 4.74322509765625,
|
1705 |
+
"learning_rate": 2.8055555555555557e-05,
|
1706 |
+
"loss": 0.6461,
|
1707 |
+
"step": 198
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 24.875,
|
1711 |
+
"grad_norm": 7.35964822769165,
|
1712 |
+
"learning_rate": 2.791666666666667e-05,
|
1713 |
+
"loss": 0.6208,
|
1714 |
+
"step": 199
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 25.0,
|
1718 |
+
"grad_norm": 5.965765953063965,
|
1719 |
+
"learning_rate": 2.777777777777778e-05,
|
1720 |
+
"loss": 0.5818,
|
1721 |
+
"step": 200
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 25.0,
|
1725 |
+
"eval_accuracy": 0.6290322580645161,
|
1726 |
+
"eval_auc": 0.8350840336134453,
|
1727 |
+
"eval_f1": 0.7472527472527473,
|
1728 |
+
"eval_loss": 0.5920096039772034,
|
1729 |
+
"eval_precision": 0.5964912280701754,
|
1730 |
+
"eval_recall": 1.0,
|
1731 |
+
"eval_runtime": 1.8063,
|
1732 |
+
"eval_samples_per_second": 34.324,
|
1733 |
+
"eval_steps_per_second": 0.554,
|
1734 |
+
"step": 200
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 25.125,
|
1738 |
+
"grad_norm": 4.253195285797119,
|
1739 |
+
"learning_rate": 2.7638888888888892e-05,
|
1740 |
+
"loss": 0.5861,
|
1741 |
+
"step": 201
|
1742 |
+
},
|
1743 |
+
{
|
1744 |
+
"epoch": 25.25,
|
1745 |
+
"grad_norm": 6.890187740325928,
|
1746 |
+
"learning_rate": 2.7500000000000004e-05,
|
1747 |
+
"loss": 0.6664,
|
1748 |
+
"step": 202
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 25.375,
|
1752 |
+
"grad_norm": 5.957720756530762,
|
1753 |
+
"learning_rate": 2.7361111111111114e-05,
|
1754 |
+
"loss": 0.5706,
|
1755 |
+
"step": 203
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 25.5,
|
1759 |
+
"grad_norm": 4.830446243286133,
|
1760 |
+
"learning_rate": 2.7222222222222223e-05,
|
1761 |
+
"loss": 0.6379,
|
1762 |
+
"step": 204
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 25.625,
|
1766 |
+
"grad_norm": 4.466456890106201,
|
1767 |
+
"learning_rate": 2.7083333333333332e-05,
|
1768 |
+
"loss": 0.6386,
|
1769 |
+
"step": 205
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 25.75,
|
1773 |
+
"grad_norm": 3.843395948410034,
|
1774 |
+
"learning_rate": 2.6944444444444445e-05,
|
1775 |
+
"loss": 0.6142,
|
1776 |
+
"step": 206
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 25.875,
|
1780 |
+
"grad_norm": 9.026485443115234,
|
1781 |
+
"learning_rate": 2.6805555555555557e-05,
|
1782 |
+
"loss": 0.6656,
|
1783 |
+
"step": 207
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 26.0,
|
1787 |
+
"grad_norm": 5.378759860992432,
|
1788 |
+
"learning_rate": 2.6666666666666667e-05,
|
1789 |
+
"loss": 0.5598,
|
1790 |
+
"step": 208
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 26.0,
|
1794 |
+
"eval_accuracy": 0.5967741935483871,
|
1795 |
+
"eval_auc": 0.8167016806722689,
|
1796 |
+
"eval_f1": 0.7252747252747253,
|
1797 |
+
"eval_loss": 0.5897570848464966,
|
1798 |
+
"eval_precision": 0.5789473684210527,
|
1799 |
+
"eval_recall": 0.9705882352941176,
|
1800 |
+
"eval_runtime": 1.8204,
|
1801 |
+
"eval_samples_per_second": 34.058,
|
1802 |
+
"eval_steps_per_second": 0.549,
|
1803 |
+
"step": 208
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 26.125,
|
1807 |
+
"grad_norm": 6.285138130187988,
|
1808 |
+
"learning_rate": 2.652777777777778e-05,
|
1809 |
+
"loss": 0.5738,
|
1810 |
+
"step": 209
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 26.25,
|
1814 |
+
"grad_norm": 5.52711296081543,
|
1815 |
+
"learning_rate": 2.6388888888888892e-05,
|
1816 |
+
"loss": 0.5979,
|
1817 |
+
"step": 210
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 26.375,
|
1821 |
+
"grad_norm": 5.575936317443848,
|
1822 |
+
"learning_rate": 2.625e-05,
|
1823 |
+
"loss": 0.6169,
|
1824 |
+
"step": 211
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 26.5,
|
1828 |
+
"grad_norm": 6.385137557983398,
|
1829 |
+
"learning_rate": 2.6111111111111114e-05,
|
1830 |
+
"loss": 0.629,
|
1831 |
+
"step": 212
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 26.625,
|
1835 |
+
"grad_norm": 4.832798004150391,
|
1836 |
+
"learning_rate": 2.5972222222222226e-05,
|
1837 |
+
"loss": 0.635,
|
1838 |
+
"step": 213
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 26.75,
|
1842 |
+
"grad_norm": 3.6846492290496826,
|
1843 |
+
"learning_rate": 2.5833333333333336e-05,
|
1844 |
+
"loss": 0.6198,
|
1845 |
+
"step": 214
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 26.875,
|
1849 |
+
"grad_norm": 5.726068496704102,
|
1850 |
+
"learning_rate": 2.5694444444444445e-05,
|
1851 |
+
"loss": 0.6208,
|
1852 |
+
"step": 215
|
1853 |
+
},
|
1854 |
+
{
|
1855 |
+
"epoch": 27.0,
|
1856 |
+
"grad_norm": 6.713356971740723,
|
1857 |
+
"learning_rate": 2.5555555555555554e-05,
|
1858 |
+
"loss": 0.5799,
|
1859 |
+
"step": 216
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 27.0,
|
1863 |
+
"eval_accuracy": 0.5967741935483871,
|
1864 |
+
"eval_auc": 0.8077731092436975,
|
1865 |
+
"eval_f1": 0.7252747252747253,
|
1866 |
+
"eval_loss": 0.5854727029800415,
|
1867 |
+
"eval_precision": 0.5789473684210527,
|
1868 |
+
"eval_recall": 0.9705882352941176,
|
1869 |
+
"eval_runtime": 1.8133,
|
1870 |
+
"eval_samples_per_second": 34.191,
|
1871 |
+
"eval_steps_per_second": 0.551,
|
1872 |
+
"step": 216
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 27.125,
|
1876 |
+
"grad_norm": 6.116228103637695,
|
1877 |
+
"learning_rate": 2.5416666666666667e-05,
|
1878 |
+
"loss": 0.593,
|
1879 |
+
"step": 217
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 27.25,
|
1883 |
+
"grad_norm": 4.514183521270752,
|
1884 |
+
"learning_rate": 2.527777777777778e-05,
|
1885 |
+
"loss": 0.6655,
|
1886 |
+
"step": 218
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 27.375,
|
1890 |
+
"grad_norm": 3.4822494983673096,
|
1891 |
+
"learning_rate": 2.513888888888889e-05,
|
1892 |
+
"loss": 0.5884,
|
1893 |
+
"step": 219
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 27.5,
|
1897 |
+
"grad_norm": 5.432756423950195,
|
1898 |
+
"learning_rate": 2.5e-05,
|
1899 |
+
"loss": 0.6722,
|
1900 |
+
"step": 220
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 27.625,
|
1904 |
+
"grad_norm": 4.786170482635498,
|
1905 |
+
"learning_rate": 2.4861111111111114e-05,
|
1906 |
+
"loss": 0.6033,
|
1907 |
+
"step": 221
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 27.75,
|
1911 |
+
"grad_norm": 4.8610968589782715,
|
1912 |
+
"learning_rate": 2.4722222222222223e-05,
|
1913 |
+
"loss": 0.5911,
|
1914 |
+
"step": 222
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 27.875,
|
1918 |
+
"grad_norm": 6.39577579498291,
|
1919 |
+
"learning_rate": 2.4583333333333332e-05,
|
1920 |
+
"loss": 0.5838,
|
1921 |
+
"step": 223
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 28.0,
|
1925 |
+
"grad_norm": 4.808637619018555,
|
1926 |
+
"learning_rate": 2.4444444444444445e-05,
|
1927 |
+
"loss": 0.5652,
|
1928 |
+
"step": 224
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 28.0,
|
1932 |
+
"eval_accuracy": 0.6612903225806451,
|
1933 |
+
"eval_auc": 0.8103991596638656,
|
1934 |
+
"eval_f1": 0.7586206896551724,
|
1935 |
+
"eval_loss": 0.5821887254714966,
|
1936 |
+
"eval_precision": 0.6226415094339622,
|
1937 |
+
"eval_recall": 0.9705882352941176,
|
1938 |
+
"eval_runtime": 1.8137,
|
1939 |
+
"eval_samples_per_second": 34.184,
|
1940 |
+
"eval_steps_per_second": 0.551,
|
1941 |
+
"step": 224
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 28.125,
|
1945 |
+
"grad_norm": 6.329916477203369,
|
1946 |
+
"learning_rate": 2.4305555555555558e-05,
|
1947 |
+
"loss": 0.6255,
|
1948 |
+
"step": 225
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 28.25,
|
1952 |
+
"grad_norm": 6.513169765472412,
|
1953 |
+
"learning_rate": 2.4166666666666667e-05,
|
1954 |
+
"loss": 0.6316,
|
1955 |
+
"step": 226
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 28.375,
|
1959 |
+
"grad_norm": 5.798919200897217,
|
1960 |
+
"learning_rate": 2.402777777777778e-05,
|
1961 |
+
"loss": 0.5832,
|
1962 |
+
"step": 227
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 28.5,
|
1966 |
+
"grad_norm": 7.43931245803833,
|
1967 |
+
"learning_rate": 2.3888888888888892e-05,
|
1968 |
+
"loss": 0.6545,
|
1969 |
+
"step": 228
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 28.625,
|
1973 |
+
"grad_norm": 11.239459037780762,
|
1974 |
+
"learning_rate": 2.375e-05,
|
1975 |
+
"loss": 0.6043,
|
1976 |
+
"step": 229
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 28.75,
|
1980 |
+
"grad_norm": 8.446592330932617,
|
1981 |
+
"learning_rate": 2.361111111111111e-05,
|
1982 |
+
"loss": 0.6292,
|
1983 |
+
"step": 230
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 28.875,
|
1987 |
+
"grad_norm": 4.742242336273193,
|
1988 |
+
"learning_rate": 2.3472222222222223e-05,
|
1989 |
+
"loss": 0.5746,
|
1990 |
+
"step": 231
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 29.0,
|
1994 |
+
"grad_norm": 4.50292444229126,
|
1995 |
+
"learning_rate": 2.3333333333333336e-05,
|
1996 |
+
"loss": 0.5903,
|
1997 |
+
"step": 232
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 29.0,
|
2001 |
+
"eval_accuracy": 0.6129032258064516,
|
2002 |
+
"eval_auc": 0.8235294117647058,
|
2003 |
+
"eval_f1": 0.7209302325581395,
|
2004 |
+
"eval_loss": 0.57861328125,
|
2005 |
+
"eval_precision": 0.5961538461538461,
|
2006 |
+
"eval_recall": 0.9117647058823529,
|
2007 |
+
"eval_runtime": 1.8119,
|
2008 |
+
"eval_samples_per_second": 34.219,
|
2009 |
+
"eval_steps_per_second": 0.552,
|
2010 |
+
"step": 232
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 29.125,
|
2014 |
+
"grad_norm": 6.878953456878662,
|
2015 |
+
"learning_rate": 2.3194444444444445e-05,
|
2016 |
+
"loss": 0.6229,
|
2017 |
+
"step": 233
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 29.25,
|
2021 |
+
"grad_norm": 7.358030319213867,
|
2022 |
+
"learning_rate": 2.3055555555555558e-05,
|
2023 |
+
"loss": 0.6111,
|
2024 |
+
"step": 234
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 29.375,
|
2028 |
+
"grad_norm": 11.688603401184082,
|
2029 |
+
"learning_rate": 2.2916666666666667e-05,
|
2030 |
+
"loss": 0.6068,
|
2031 |
+
"step": 235
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 29.5,
|
2035 |
+
"grad_norm": 5.618793487548828,
|
2036 |
+
"learning_rate": 2.277777777777778e-05,
|
2037 |
+
"loss": 0.6128,
|
2038 |
+
"step": 236
|
2039 |
+
},
|
2040 |
+
{
|
2041 |
+
"epoch": 29.625,
|
2042 |
+
"grad_norm": 4.052311897277832,
|
2043 |
+
"learning_rate": 2.263888888888889e-05,
|
2044 |
+
"loss": 0.5709,
|
2045 |
+
"step": 237
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 29.75,
|
2049 |
+
"grad_norm": 7.0657958984375,
|
2050 |
+
"learning_rate": 2.25e-05,
|
2051 |
+
"loss": 0.639,
|
2052 |
+
"step": 238
|
2053 |
+
},
|
2054 |
+
{
|
2055 |
+
"epoch": 29.875,
|
2056 |
+
"grad_norm": 4.155570030212402,
|
2057 |
+
"learning_rate": 2.2361111111111114e-05,
|
2058 |
+
"loss": 0.6244,
|
2059 |
+
"step": 239
|
2060 |
+
},
|
2061 |
+
{
|
2062 |
+
"epoch": 30.0,
|
2063 |
+
"grad_norm": 8.205406188964844,
|
2064 |
+
"learning_rate": 2.2222222222222223e-05,
|
2065 |
+
"loss": 0.6824,
|
2066 |
+
"step": 240
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 30.0,
|
2070 |
+
"eval_accuracy": 0.6290322580645161,
|
2071 |
+
"eval_auc": 0.8161764705882353,
|
2072 |
+
"eval_f1": 0.735632183908046,
|
2073 |
+
"eval_loss": 0.5722106695175171,
|
2074 |
+
"eval_precision": 0.6037735849056604,
|
2075 |
+
"eval_recall": 0.9411764705882353,
|
2076 |
+
"eval_runtime": 1.8211,
|
2077 |
+
"eval_samples_per_second": 34.045,
|
2078 |
+
"eval_steps_per_second": 0.549,
|
2079 |
+
"step": 240
|
2080 |
+
}
|
2081 |
+
],
|
2082 |
+
"logging_steps": 1,
|
2083 |
+
"max_steps": 400,
|
2084 |
+
"num_input_tokens_seen": 0,
|
2085 |
+
"num_train_epochs": 50,
|
2086 |
+
"save_steps": 500,
|
2087 |
+
"stateful_callbacks": {
|
2088 |
+
"EarlyStoppingCallback": {
|
2089 |
+
"args": {
|
2090 |
+
"early_stopping_patience": 15,
|
2091 |
+
"early_stopping_threshold": 0.01
|
2092 |
+
},
|
2093 |
+
"attributes": {
|
2094 |
+
"early_stopping_patience_counter": 0
|
2095 |
+
}
|
2096 |
+
},
|
2097 |
+
"TrainerControl": {
|
2098 |
+
"args": {
|
2099 |
+
"should_epoch_stop": false,
|
2100 |
+
"should_evaluate": false,
|
2101 |
+
"should_log": false,
|
2102 |
+
"should_save": true,
|
2103 |
+
"should_training_stop": false
|
2104 |
+
},
|
2105 |
+
"attributes": {}
|
2106 |
+
}
|
2107 |
+
},
|
2108 |
+
"total_flos": 1.567172772974592e+17,
|
2109 |
+
"train_batch_size": 32,
|
2110 |
+
"trial_name": null,
|
2111 |
+
"trial_params": null
|
2112 |
+
}
|
checkpoint-240/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07f9f22c08f8a089d1b75ab2d8b38b2eb0436c03b91bd64a5366b1fe925e5c91
|
3 |
+
size 5176
|
config.json
ADDED
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/resnet-50",
|
3 |
+
"_num_labels": 2,
|
4 |
+
"architectures": [
|
5 |
+
"ResNetForImageClassification"
|
6 |
+
],
|
7 |
+
"depths": [
|
8 |
+
3,
|
9 |
+
4,
|
10 |
+
6,
|
11 |
+
3
|
12 |
+
],
|
13 |
+
"downsample_in_bottleneck": false,
|
14 |
+
"downsample_in_first_stage": false,
|
15 |
+
"embedding_size": 64,
|
16 |
+
"hidden_act": "relu",
|
17 |
+
"hidden_sizes": [
|
18 |
+
256,
|
19 |
+
512,
|
20 |
+
1024,
|
21 |
+
2048
|
22 |
+
],
|
23 |
+
"id2label": {
|
24 |
+
"0": "no",
|
25 |
+
"1": "yes"
|
26 |
+
},
|
27 |
+
"label2id": {
|
28 |
+
"no": 0,
|
29 |
+
"yes": 1
|
30 |
+
},
|
31 |
+
"layer_type": "bottleneck",
|
32 |
+
"model_type": "resnet",
|
33 |
+
"num_channels": 3,
|
34 |
+
"out_features": [
|
35 |
+
"stage4"
|
36 |
+
],
|
37 |
+
"out_indices": [
|
38 |
+
4
|
39 |
+
],
|
40 |
+
"problem_type": "single_label_classification",
|
41 |
+
"stage_names": [
|
42 |
+
"stem",
|
43 |
+
"stage1",
|
44 |
+
"stage2",
|
45 |
+
"stage3",
|
46 |
+
"stage4"
|
47 |
+
],
|
48 |
+
"torch_dtype": "float32",
|
49 |
+
"transformers_version": "4.44.0"
|
50 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c6c6678a7274fb49e5b5ede268a85d8f38c72aeabf3712bc5b538679fb32de93
|
3 |
+
size 94302952
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"crop_pct": 0.875,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.485,
|
8 |
+
0.456,
|
9 |
+
0.406
|
10 |
+
],
|
11 |
+
"image_processor_type": "ConvNextImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.229,
|
14 |
+
0.224,
|
15 |
+
0.225
|
16 |
+
],
|
17 |
+
"resample": 3,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"shortest_edge": 224
|
21 |
+
}
|
22 |
+
}
|
runs/Aug17_22-05-12_tufta/events.out.tfevents.1723946712.tufta.52761.0
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:a7461136cffa83ab39bef08d49df5877dd06b42fdd8d30659323d31cb7789fbd
|
3 |
+
size 79750
|
runs/Aug17_22-05-12_tufta/events.out.tfevents.1723947259.tufta.52761.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c932379217cded73d59f8dfc803b0f1d63242c4e5b4759208a29ed66297e8b9
|
3 |
+
size 607
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07f9f22c08f8a089d1b75ab2d8b38b2eb0436c03b91bd64a5366b1fe925e5c91
|
3 |
+
size 5176
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "prostate-mri-T2w-v02/autotrain-data",
|
3 |
+
"model": "microsoft/resnet-50",
|
4 |
+
"username": "Emilio407",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 50,
|
7 |
+
"batch_size": 32,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "prostate-mri-T2w-v02",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "bf16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"push_to_hub": true,
|
23 |
+
"eval_strategy": "epoch",
|
24 |
+
"image_column": "autotrain_image",
|
25 |
+
"target_column": "autotrain_label",
|
26 |
+
"log": "tensorboard",
|
27 |
+
"early_stopping_patience": 15,
|
28 |
+
"early_stopping_threshold": 0.01
|
29 |
+
}
|