lombardata
commited on
Commit
•
4e5adba
1
Parent(s):
d95f05a
🍻 cheers
Browse files- README.md +10 -6
- all_results.json +16 -0
- config.json +1 -1
- eval_results.json +12 -0
- train_results.json +8 -0
- trainer_state.json +997 -0
README.md
CHANGED
@@ -1,7 +1,11 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: facebook/dinov2-large
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
@@ -15,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# dino-large-2023_12_08-with_custom_head-imgsize1036
|
17 |
|
18 |
-
This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- F1 Micro: 0.
|
22 |
-
- F1 Macro: 0.
|
23 |
-
- Roc Auc: 0.
|
24 |
-
- Accuracy: 0.
|
25 |
- Learning Rate: 0.0001
|
26 |
|
27 |
## Model description
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- eng
|
4 |
license: apache-2.0
|
5 |
base_model: facebook/dinov2-large
|
6 |
tags:
|
7 |
+
- multilabel-image-classification
|
8 |
+
- multilabel
|
9 |
- generated_from_trainer
|
10 |
metrics:
|
11 |
- accuracy
|
|
|
19 |
|
20 |
# dino-large-2023_12_08-with_custom_head-imgsize1036
|
21 |
|
22 |
+
This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the multilabel_complete_dataset dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: 0.1017
|
25 |
+
- F1 Micro: 0.8547
|
26 |
+
- F1 Macro: 0.8214
|
27 |
+
- Roc Auc: 0.9081
|
28 |
+
- Accuracy: 0.5649
|
29 |
- Learning Rate: 0.0001
|
30 |
|
31 |
## Model description
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_accuracy": 0.5649419218585006,
|
4 |
+
"eval_f1_macro": 0.8213721230972145,
|
5 |
+
"eval_f1_micro": 0.8546501276040122,
|
6 |
+
"eval_loss": 0.10166258364915848,
|
7 |
+
"eval_roc_auc": 0.9081373500899811,
|
8 |
+
"eval_runtime": 735.6363,
|
9 |
+
"eval_samples_per_second": 3.862,
|
10 |
+
"eval_steps_per_second": 0.242,
|
11 |
+
"learning_rate": 0.0001,
|
12 |
+
"train_loss": 0.15577314120620045,
|
13 |
+
"train_runtime": 143618.003,
|
14 |
+
"train_samples_per_second": 2.983,
|
15 |
+
"train_steps_per_second": 0.187
|
16 |
+
}
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "facebook/dinov2-
|
3 |
"apply_layernorm": true,
|
4 |
"architectures": [
|
5 |
"NewheadDinov2ForImageClassification"
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "facebook/dinov2-large2023_12_08",
|
3 |
"apply_layernorm": true,
|
4 |
"architectures": [
|
5 |
"NewheadDinov2ForImageClassification"
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"eval_accuracy": 0.5649419218585006,
|
4 |
+
"eval_f1_macro": 0.8213721230972145,
|
5 |
+
"eval_f1_micro": 0.8546501276040122,
|
6 |
+
"eval_loss": 0.10166258364915848,
|
7 |
+
"eval_roc_auc": 0.9081373500899811,
|
8 |
+
"eval_runtime": 735.6363,
|
9 |
+
"eval_samples_per_second": 3.862,
|
10 |
+
"eval_steps_per_second": 0.242,
|
11 |
+
"learning_rate": 0.0001
|
12 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"learning_rate": 0.0001,
|
4 |
+
"train_loss": 0.15577314120620045,
|
5 |
+
"train_runtime": 143618.003,
|
6 |
+
"train_samples_per_second": 2.983,
|
7 |
+
"train_steps_per_second": 0.187
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,997 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.10334235429763794,
|
3 |
+
"best_model_checkpoint": "/home1/datahome/mcontini/multilabelTest/huggingface_multilabel/models/dino-large-2023_12_08-with_custom_head-imgsize1036/checkpoint-26264",
|
4 |
+
"epoch": 50.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 26800,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.93,
|
13 |
+
"learning_rate": 0.01,
|
14 |
+
"loss": 0.2502,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"eval_accuracy": 0.4030010718113612,
|
20 |
+
"eval_f1_macro": 0.5121125903883165,
|
21 |
+
"eval_f1_micro": 0.6426868905742146,
|
22 |
+
"eval_loss": 0.19902026653289795,
|
23 |
+
"eval_roc_auc": 0.7509953312991865,
|
24 |
+
"eval_runtime": 684.3444,
|
25 |
+
"eval_samples_per_second": 4.09,
|
26 |
+
"eval_steps_per_second": 0.256,
|
27 |
+
"learning_rate": 0.01,
|
28 |
+
"step": 536
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 1.87,
|
32 |
+
"learning_rate": 0.01,
|
33 |
+
"loss": 0.2164,
|
34 |
+
"step": 1000
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.0,
|
38 |
+
"eval_accuracy": 0.4047874240800286,
|
39 |
+
"eval_f1_macro": 0.6295963337884725,
|
40 |
+
"eval_f1_micro": 0.6769131832797427,
|
41 |
+
"eval_loss": 1.1450586318969727,
|
42 |
+
"eval_roc_auc": 0.7895166431869363,
|
43 |
+
"eval_runtime": 697.1722,
|
44 |
+
"eval_samples_per_second": 4.015,
|
45 |
+
"eval_steps_per_second": 0.251,
|
46 |
+
"learning_rate": 0.01,
|
47 |
+
"step": 1072
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 2.8,
|
51 |
+
"learning_rate": 0.01,
|
52 |
+
"loss": 0.2149,
|
53 |
+
"step": 1500
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 3.0,
|
57 |
+
"eval_accuracy": 0.3994283672740264,
|
58 |
+
"eval_f1_macro": 0.5251308791060187,
|
59 |
+
"eval_f1_micro": 0.651589690873045,
|
60 |
+
"eval_loss": 0.2338775098323822,
|
61 |
+
"eval_roc_auc": 0.7524284144947219,
|
62 |
+
"eval_runtime": 691.846,
|
63 |
+
"eval_samples_per_second": 4.046,
|
64 |
+
"eval_steps_per_second": 0.253,
|
65 |
+
"learning_rate": 0.01,
|
66 |
+
"step": 1608
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 3.73,
|
70 |
+
"learning_rate": 0.01,
|
71 |
+
"loss": 0.2159,
|
72 |
+
"step": 2000
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 4.0,
|
76 |
+
"eval_accuracy": 0.4115755627009646,
|
77 |
+
"eval_f1_macro": 0.6028196862535703,
|
78 |
+
"eval_f1_micro": 0.7376345424002986,
|
79 |
+
"eval_loss": 0.16987967491149902,
|
80 |
+
"eval_roc_auc": 0.8296525341756016,
|
81 |
+
"eval_runtime": 692.4855,
|
82 |
+
"eval_samples_per_second": 4.042,
|
83 |
+
"eval_steps_per_second": 0.253,
|
84 |
+
"learning_rate": 0.01,
|
85 |
+
"step": 2144
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 4.66,
|
89 |
+
"learning_rate": 0.01,
|
90 |
+
"loss": 0.2171,
|
91 |
+
"step": 2500
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 5.0,
|
95 |
+
"eval_accuracy": 0.43944265809217575,
|
96 |
+
"eval_f1_macro": 0.63036934398975,
|
97 |
+
"eval_f1_micro": 0.7363523166655744,
|
98 |
+
"eval_loss": 0.16497960686683655,
|
99 |
+
"eval_roc_auc": 0.8166227130928913,
|
100 |
+
"eval_runtime": 679.5828,
|
101 |
+
"eval_samples_per_second": 4.119,
|
102 |
+
"eval_steps_per_second": 0.258,
|
103 |
+
"learning_rate": 0.01,
|
104 |
+
"step": 2680
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 5.6,
|
108 |
+
"learning_rate": 0.01,
|
109 |
+
"loss": 0.2166,
|
110 |
+
"step": 3000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 6.0,
|
114 |
+
"eval_accuracy": 0.39228295819935693,
|
115 |
+
"eval_f1_macro": 0.5122569229120599,
|
116 |
+
"eval_f1_micro": 0.6852550663871418,
|
117 |
+
"eval_loss": 0.1748417615890503,
|
118 |
+
"eval_roc_auc": 0.7773210612716831,
|
119 |
+
"eval_runtime": 677.7081,
|
120 |
+
"eval_samples_per_second": 4.13,
|
121 |
+
"eval_steps_per_second": 0.258,
|
122 |
+
"learning_rate": 0.01,
|
123 |
+
"step": 3216
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 6.53,
|
127 |
+
"learning_rate": 0.01,
|
128 |
+
"loss": 0.2081,
|
129 |
+
"step": 3500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 7.0,
|
133 |
+
"eval_accuracy": 0.4347981421936406,
|
134 |
+
"eval_f1_macro": 0.6129188202062517,
|
135 |
+
"eval_f1_micro": 0.7454787740338855,
|
136 |
+
"eval_loss": 0.1636398434638977,
|
137 |
+
"eval_roc_auc": 0.8290983004904813,
|
138 |
+
"eval_runtime": 695.4612,
|
139 |
+
"eval_samples_per_second": 4.025,
|
140 |
+
"eval_steps_per_second": 0.252,
|
141 |
+
"learning_rate": 0.01,
|
142 |
+
"step": 3752
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 7.46,
|
146 |
+
"learning_rate": 0.01,
|
147 |
+
"loss": 0.2111,
|
148 |
+
"step": 4000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 8.0,
|
152 |
+
"eval_accuracy": 0.42765273311897106,
|
153 |
+
"eval_f1_macro": 0.6444819502221721,
|
154 |
+
"eval_f1_micro": 0.7542994588093808,
|
155 |
+
"eval_loss": 0.16511820256710052,
|
156 |
+
"eval_roc_auc": 0.847560960415324,
|
157 |
+
"eval_runtime": 698.6301,
|
158 |
+
"eval_samples_per_second": 4.006,
|
159 |
+
"eval_steps_per_second": 0.25,
|
160 |
+
"learning_rate": 0.01,
|
161 |
+
"step": 4288
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 8.4,
|
165 |
+
"learning_rate": 0.01,
|
166 |
+
"loss": 0.209,
|
167 |
+
"step": 4500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 9.0,
|
171 |
+
"eval_accuracy": 0.43586995355484104,
|
172 |
+
"eval_f1_macro": 0.6522075091299645,
|
173 |
+
"eval_f1_micro": 0.7062128001070019,
|
174 |
+
"eval_loss": 0.1750405728816986,
|
175 |
+
"eval_roc_auc": 0.7966230241843142,
|
176 |
+
"eval_runtime": 689.5145,
|
177 |
+
"eval_samples_per_second": 4.059,
|
178 |
+
"eval_steps_per_second": 0.254,
|
179 |
+
"learning_rate": 0.01,
|
180 |
+
"step": 4824
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 9.33,
|
184 |
+
"learning_rate": 0.01,
|
185 |
+
"loss": 0.2107,
|
186 |
+
"step": 5000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 10.0,
|
190 |
+
"eval_accuracy": 0.3829939264022865,
|
191 |
+
"eval_f1_macro": 0.5923770104096581,
|
192 |
+
"eval_f1_micro": 0.7244064088539991,
|
193 |
+
"eval_loss": 0.17505380511283875,
|
194 |
+
"eval_roc_auc": 0.8145635827712373,
|
195 |
+
"eval_runtime": 706.021,
|
196 |
+
"eval_samples_per_second": 3.964,
|
197 |
+
"eval_steps_per_second": 0.248,
|
198 |
+
"learning_rate": 0.01,
|
199 |
+
"step": 5360
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 10.26,
|
203 |
+
"learning_rate": 0.01,
|
204 |
+
"loss": 0.2162,
|
205 |
+
"step": 5500
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 11.0,
|
209 |
+
"eval_accuracy": 0.42515183994283673,
|
210 |
+
"eval_f1_macro": 0.678019114323704,
|
211 |
+
"eval_f1_micro": 0.7505816381315993,
|
212 |
+
"eval_loss": 0.22285762429237366,
|
213 |
+
"eval_roc_auc": 0.8475316447819295,
|
214 |
+
"eval_runtime": 709.1839,
|
215 |
+
"eval_samples_per_second": 3.947,
|
216 |
+
"eval_steps_per_second": 0.247,
|
217 |
+
"learning_rate": 0.01,
|
218 |
+
"step": 5896
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 11.19,
|
222 |
+
"learning_rate": 0.01,
|
223 |
+
"loss": 0.2153,
|
224 |
+
"step": 6000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 12.0,
|
228 |
+
"eval_accuracy": 0.4105037513397642,
|
229 |
+
"eval_f1_macro": 0.6543045937545326,
|
230 |
+
"eval_f1_micro": 0.7501448603546181,
|
231 |
+
"eval_loss": 0.1740036904811859,
|
232 |
+
"eval_roc_auc": 0.8550110327013883,
|
233 |
+
"eval_runtime": 710.4504,
|
234 |
+
"eval_samples_per_second": 3.94,
|
235 |
+
"eval_steps_per_second": 0.246,
|
236 |
+
"learning_rate": 0.01,
|
237 |
+
"step": 6432
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 12.13,
|
241 |
+
"learning_rate": 0.01,
|
242 |
+
"loss": 0.2197,
|
243 |
+
"step": 6500
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 13.0,
|
247 |
+
"eval_accuracy": 0.41872097177563417,
|
248 |
+
"eval_f1_macro": 0.6605308887240204,
|
249 |
+
"eval_f1_micro": 0.748710897215538,
|
250 |
+
"eval_loss": 0.1744571030139923,
|
251 |
+
"eval_roc_auc": 0.857218077620948,
|
252 |
+
"eval_runtime": 687.247,
|
253 |
+
"eval_samples_per_second": 4.073,
|
254 |
+
"eval_steps_per_second": 0.255,
|
255 |
+
"learning_rate": 0.01,
|
256 |
+
"step": 6968
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 13.06,
|
260 |
+
"learning_rate": 0.001,
|
261 |
+
"loss": 0.2128,
|
262 |
+
"step": 7000
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 13.99,
|
266 |
+
"learning_rate": 0.001,
|
267 |
+
"loss": 0.18,
|
268 |
+
"step": 7500
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 14.0,
|
272 |
+
"eval_accuracy": 0.5058949624866024,
|
273 |
+
"eval_f1_macro": 0.7455097936778116,
|
274 |
+
"eval_f1_micro": 0.8036385688295937,
|
275 |
+
"eval_loss": 0.13480359315872192,
|
276 |
+
"eval_roc_auc": 0.8730946172404269,
|
277 |
+
"eval_runtime": 700.8684,
|
278 |
+
"eval_samples_per_second": 3.994,
|
279 |
+
"eval_steps_per_second": 0.25,
|
280 |
+
"learning_rate": 0.001,
|
281 |
+
"step": 7504
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 14.93,
|
285 |
+
"learning_rate": 0.001,
|
286 |
+
"loss": 0.164,
|
287 |
+
"step": 8000
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 15.0,
|
291 |
+
"eval_accuracy": 0.5173276170060735,
|
292 |
+
"eval_f1_macro": 0.7782933504010985,
|
293 |
+
"eval_f1_micro": 0.8159655831739961,
|
294 |
+
"eval_loss": 0.13084079325199127,
|
295 |
+
"eval_roc_auc": 0.8844182661393802,
|
296 |
+
"eval_runtime": 699.1842,
|
297 |
+
"eval_samples_per_second": 4.003,
|
298 |
+
"eval_steps_per_second": 0.25,
|
299 |
+
"learning_rate": 0.001,
|
300 |
+
"step": 8040
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 15.86,
|
304 |
+
"learning_rate": 0.001,
|
305 |
+
"loss": 0.162,
|
306 |
+
"step": 8500
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 16.0,
|
310 |
+
"eval_accuracy": 0.5201857806359415,
|
311 |
+
"eval_f1_macro": 0.7530230371766228,
|
312 |
+
"eval_f1_micro": 0.8187878039748179,
|
313 |
+
"eval_loss": 0.1304706484079361,
|
314 |
+
"eval_roc_auc": 0.8764409254464951,
|
315 |
+
"eval_runtime": 704.2301,
|
316 |
+
"eval_samples_per_second": 3.975,
|
317 |
+
"eval_steps_per_second": 0.248,
|
318 |
+
"learning_rate": 0.001,
|
319 |
+
"step": 8576
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 16.79,
|
323 |
+
"learning_rate": 0.001,
|
324 |
+
"loss": 0.1548,
|
325 |
+
"step": 9000
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 17.0,
|
329 |
+
"eval_accuracy": 0.5248302965344765,
|
330 |
+
"eval_f1_macro": 0.788713547954132,
|
331 |
+
"eval_f1_micro": 0.829077551987677,
|
332 |
+
"eval_loss": 0.12419470399618149,
|
333 |
+
"eval_roc_auc": 0.8945177280625883,
|
334 |
+
"eval_runtime": 725.0968,
|
335 |
+
"eval_samples_per_second": 3.86,
|
336 |
+
"eval_steps_per_second": 0.241,
|
337 |
+
"learning_rate": 0.001,
|
338 |
+
"step": 9112
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 17.72,
|
342 |
+
"learning_rate": 0.001,
|
343 |
+
"loss": 0.1532,
|
344 |
+
"step": 9500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 18.0,
|
348 |
+
"eval_accuracy": 0.5226866738120758,
|
349 |
+
"eval_f1_macro": 0.782300591476402,
|
350 |
+
"eval_f1_micro": 0.8292102759276879,
|
351 |
+
"eval_loss": 0.12466239929199219,
|
352 |
+
"eval_roc_auc": 0.8934405856125267,
|
353 |
+
"eval_runtime": 737.9752,
|
354 |
+
"eval_samples_per_second": 3.793,
|
355 |
+
"eval_steps_per_second": 0.237,
|
356 |
+
"learning_rate": 0.001,
|
357 |
+
"step": 9648
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 18.66,
|
361 |
+
"learning_rate": 0.001,
|
362 |
+
"loss": 0.152,
|
363 |
+
"step": 10000
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 19.0,
|
367 |
+
"eval_accuracy": 0.5280457306180779,
|
368 |
+
"eval_f1_macro": 0.7687831529578533,
|
369 |
+
"eval_f1_micro": 0.8237944471505114,
|
370 |
+
"eval_loss": 0.1271921843290329,
|
371 |
+
"eval_roc_auc": 0.8832304052589448,
|
372 |
+
"eval_runtime": 742.4217,
|
373 |
+
"eval_samples_per_second": 3.77,
|
374 |
+
"eval_steps_per_second": 0.236,
|
375 |
+
"learning_rate": 0.001,
|
376 |
+
"step": 10184
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 19.59,
|
380 |
+
"learning_rate": 0.001,
|
381 |
+
"loss": 0.1479,
|
382 |
+
"step": 10500
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 20.0,
|
386 |
+
"eval_accuracy": 0.5287602715255448,
|
387 |
+
"eval_f1_macro": 0.7783155153237968,
|
388 |
+
"eval_f1_micro": 0.8279668813247469,
|
389 |
+
"eval_loss": 0.12385135143995285,
|
390 |
+
"eval_roc_auc": 0.8833930136365329,
|
391 |
+
"eval_runtime": 714.6841,
|
392 |
+
"eval_samples_per_second": 3.916,
|
393 |
+
"eval_steps_per_second": 0.245,
|
394 |
+
"learning_rate": 0.001,
|
395 |
+
"step": 10720
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 20.52,
|
399 |
+
"learning_rate": 0.001,
|
400 |
+
"loss": 0.1483,
|
401 |
+
"step": 11000
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 21.0,
|
405 |
+
"eval_accuracy": 0.534119328331547,
|
406 |
+
"eval_f1_macro": 0.791367242205616,
|
407 |
+
"eval_f1_micro": 0.8361280949209999,
|
408 |
+
"eval_loss": 0.1375582218170166,
|
409 |
+
"eval_roc_auc": 0.8918987306282016,
|
410 |
+
"eval_runtime": 704.0932,
|
411 |
+
"eval_samples_per_second": 3.975,
|
412 |
+
"eval_steps_per_second": 0.249,
|
413 |
+
"learning_rate": 0.001,
|
414 |
+
"step": 11256
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 21.46,
|
418 |
+
"learning_rate": 0.001,
|
419 |
+
"loss": 0.1448,
|
420 |
+
"step": 11500
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 22.0,
|
424 |
+
"eval_accuracy": 0.5380493033226152,
|
425 |
+
"eval_f1_macro": 0.7773902467356547,
|
426 |
+
"eval_f1_micro": 0.8291756052712227,
|
427 |
+
"eval_loss": 0.12673501670360565,
|
428 |
+
"eval_roc_auc": 0.8842480463699955,
|
429 |
+
"eval_runtime": 694.3206,
|
430 |
+
"eval_samples_per_second": 4.031,
|
431 |
+
"eval_steps_per_second": 0.252,
|
432 |
+
"learning_rate": 0.001,
|
433 |
+
"step": 11792
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 22.39,
|
437 |
+
"learning_rate": 0.001,
|
438 |
+
"loss": 0.1456,
|
439 |
+
"step": 12000
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 23.0,
|
443 |
+
"eval_accuracy": 0.5448374419435512,
|
444 |
+
"eval_f1_macro": 0.7913781838771046,
|
445 |
+
"eval_f1_micro": 0.8334247577253612,
|
446 |
+
"eval_loss": 0.12168043851852417,
|
447 |
+
"eval_roc_auc": 0.8883093845683582,
|
448 |
+
"eval_runtime": 716.6426,
|
449 |
+
"eval_samples_per_second": 3.906,
|
450 |
+
"eval_steps_per_second": 0.244,
|
451 |
+
"learning_rate": 0.001,
|
452 |
+
"step": 12328
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 23.32,
|
456 |
+
"learning_rate": 0.001,
|
457 |
+
"loss": 0.1441,
|
458 |
+
"step": 12500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 24.0,
|
462 |
+
"eval_accuracy": 0.5380493033226152,
|
463 |
+
"eval_f1_macro": 0.7852190635254378,
|
464 |
+
"eval_f1_micro": 0.8282665343094677,
|
465 |
+
"eval_loss": 0.11930090188980103,
|
466 |
+
"eval_roc_auc": 0.8801416627925638,
|
467 |
+
"eval_runtime": 736.3569,
|
468 |
+
"eval_samples_per_second": 3.801,
|
469 |
+
"eval_steps_per_second": 0.238,
|
470 |
+
"learning_rate": 0.001,
|
471 |
+
"step": 12864
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 24.25,
|
475 |
+
"learning_rate": 0.001,
|
476 |
+
"loss": 0.1406,
|
477 |
+
"step": 13000
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 25.0,
|
481 |
+
"eval_accuracy": 0.534119328331547,
|
482 |
+
"eval_f1_macro": 0.8019722412424143,
|
483 |
+
"eval_f1_micro": 0.8392282958199356,
|
484 |
+
"eval_loss": 0.11846613883972168,
|
485 |
+
"eval_roc_auc": 0.89877394155691,
|
486 |
+
"eval_runtime": 732.3109,
|
487 |
+
"eval_samples_per_second": 3.822,
|
488 |
+
"eval_steps_per_second": 0.239,
|
489 |
+
"learning_rate": 0.001,
|
490 |
+
"step": 13400
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 25.19,
|
494 |
+
"learning_rate": 0.001,
|
495 |
+
"loss": 0.1416,
|
496 |
+
"step": 13500
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 26.0,
|
500 |
+
"eval_accuracy": 0.5441229010360843,
|
501 |
+
"eval_f1_macro": 0.7850806686320094,
|
502 |
+
"eval_f1_micro": 0.8350723045945452,
|
503 |
+
"eval_loss": 0.1295102834701538,
|
504 |
+
"eval_roc_auc": 0.888897831813434,
|
505 |
+
"eval_runtime": 736.4837,
|
506 |
+
"eval_samples_per_second": 3.8,
|
507 |
+
"eval_steps_per_second": 0.238,
|
508 |
+
"learning_rate": 0.001,
|
509 |
+
"step": 13936
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 26.12,
|
513 |
+
"learning_rate": 0.001,
|
514 |
+
"loss": 0.1417,
|
515 |
+
"step": 14000
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 27.0,
|
519 |
+
"eval_accuracy": 0.5305466237942122,
|
520 |
+
"eval_f1_macro": 0.7699298453614014,
|
521 |
+
"eval_f1_micro": 0.8287484510532839,
|
522 |
+
"eval_loss": 0.1389976292848587,
|
523 |
+
"eval_roc_auc": 0.8808089652631531,
|
524 |
+
"eval_runtime": 714.8246,
|
525 |
+
"eval_samples_per_second": 3.916,
|
526 |
+
"eval_steps_per_second": 0.245,
|
527 |
+
"learning_rate": 0.001,
|
528 |
+
"step": 14472
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 27.05,
|
532 |
+
"learning_rate": 0.001,
|
533 |
+
"loss": 0.1452,
|
534 |
+
"step": 14500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 27.99,
|
538 |
+
"learning_rate": 0.001,
|
539 |
+
"loss": 0.142,
|
540 |
+
"step": 15000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 28.0,
|
544 |
+
"eval_accuracy": 0.5441229010360843,
|
545 |
+
"eval_f1_macro": 0.7857164640115839,
|
546 |
+
"eval_f1_micro": 0.8328267477203647,
|
547 |
+
"eval_loss": 0.12560133635997772,
|
548 |
+
"eval_roc_auc": 0.888767490354217,
|
549 |
+
"eval_runtime": 711.9043,
|
550 |
+
"eval_samples_per_second": 3.932,
|
551 |
+
"eval_steps_per_second": 0.246,
|
552 |
+
"learning_rate": 0.001,
|
553 |
+
"step": 15008
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 28.92,
|
557 |
+
"learning_rate": 0.001,
|
558 |
+
"loss": 0.14,
|
559 |
+
"step": 15500
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 29.0,
|
563 |
+
"eval_accuracy": 0.5359056806002144,
|
564 |
+
"eval_f1_macro": 0.7758987493304471,
|
565 |
+
"eval_f1_micro": 0.8291174469664172,
|
566 |
+
"eval_loss": 0.12682993710041046,
|
567 |
+
"eval_roc_auc": 0.8815429141058391,
|
568 |
+
"eval_runtime": 725.5421,
|
569 |
+
"eval_samples_per_second": 3.858,
|
570 |
+
"eval_steps_per_second": 0.241,
|
571 |
+
"learning_rate": 0.001,
|
572 |
+
"step": 15544
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 29.85,
|
576 |
+
"learning_rate": 0.001,
|
577 |
+
"loss": 0.1415,
|
578 |
+
"step": 16000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 30.0,
|
582 |
+
"eval_accuracy": 0.5419792783136834,
|
583 |
+
"eval_f1_macro": 0.7674795938272058,
|
584 |
+
"eval_f1_micro": 0.8239833027638985,
|
585 |
+
"eval_loss": 0.13736343383789062,
|
586 |
+
"eval_roc_auc": 0.8722214417609943,
|
587 |
+
"eval_runtime": 716.5365,
|
588 |
+
"eval_samples_per_second": 3.906,
|
589 |
+
"eval_steps_per_second": 0.244,
|
590 |
+
"learning_rate": 0.001,
|
591 |
+
"step": 16080
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 30.78,
|
595 |
+
"learning_rate": 0.001,
|
596 |
+
"loss": 0.1414,
|
597 |
+
"step": 16500
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 31.0,
|
601 |
+
"eval_accuracy": 0.5405501964987496,
|
602 |
+
"eval_f1_macro": 0.7795434508186554,
|
603 |
+
"eval_f1_micro": 0.8309928553830993,
|
604 |
+
"eval_loss": 0.12812598049640656,
|
605 |
+
"eval_roc_auc": 0.8838076169713958,
|
606 |
+
"eval_runtime": 695.9054,
|
607 |
+
"eval_samples_per_second": 4.022,
|
608 |
+
"eval_steps_per_second": 0.251,
|
609 |
+
"learning_rate": 0.001,
|
610 |
+
"step": 16616
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 31.72,
|
614 |
+
"learning_rate": 0.0001,
|
615 |
+
"loss": 0.1349,
|
616 |
+
"step": 17000
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 32.0,
|
620 |
+
"eval_accuracy": 0.5512683101107538,
|
621 |
+
"eval_f1_macro": 0.7927055189210745,
|
622 |
+
"eval_f1_micro": 0.8388680866736234,
|
623 |
+
"eval_loss": 0.11437654495239258,
|
624 |
+
"eval_roc_auc": 0.8891921900071421,
|
625 |
+
"eval_runtime": 701.3503,
|
626 |
+
"eval_samples_per_second": 3.991,
|
627 |
+
"eval_steps_per_second": 0.25,
|
628 |
+
"learning_rate": 0.0001,
|
629 |
+
"step": 17152
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 32.65,
|
633 |
+
"learning_rate": 0.0001,
|
634 |
+
"loss": 0.1294,
|
635 |
+
"step": 17500
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 33.0,
|
639 |
+
"eval_accuracy": 0.5534119328331547,
|
640 |
+
"eval_f1_macro": 0.7990834574660737,
|
641 |
+
"eval_f1_micro": 0.8414029503580829,
|
642 |
+
"eval_loss": 0.10969647765159607,
|
643 |
+
"eval_roc_auc": 0.8914615216569188,
|
644 |
+
"eval_runtime": 698.1361,
|
645 |
+
"eval_samples_per_second": 4.009,
|
646 |
+
"eval_steps_per_second": 0.251,
|
647 |
+
"learning_rate": 0.0001,
|
648 |
+
"step": 17688
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 33.58,
|
652 |
+
"learning_rate": 0.0001,
|
653 |
+
"loss": 0.1281,
|
654 |
+
"step": 18000
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 34.0,
|
658 |
+
"eval_accuracy": 0.5519828510182208,
|
659 |
+
"eval_f1_macro": 0.7981650632699254,
|
660 |
+
"eval_f1_micro": 0.8424912902634313,
|
661 |
+
"eval_loss": 0.11602061241865158,
|
662 |
+
"eval_roc_auc": 0.8925180364347453,
|
663 |
+
"eval_runtime": 712.6765,
|
664 |
+
"eval_samples_per_second": 3.927,
|
665 |
+
"eval_steps_per_second": 0.246,
|
666 |
+
"learning_rate": 0.0001,
|
667 |
+
"step": 18224
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 34.51,
|
671 |
+
"learning_rate": 0.0001,
|
672 |
+
"loss": 0.1274,
|
673 |
+
"step": 18500
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 35.0,
|
677 |
+
"eval_accuracy": 0.5576991782779565,
|
678 |
+
"eval_f1_macro": 0.7999145597601702,
|
679 |
+
"eval_f1_micro": 0.8441375939390237,
|
680 |
+
"eval_loss": 0.12442068755626678,
|
681 |
+
"eval_roc_auc": 0.893549294756116,
|
682 |
+
"eval_runtime": 707.8053,
|
683 |
+
"eval_samples_per_second": 3.954,
|
684 |
+
"eval_steps_per_second": 0.247,
|
685 |
+
"learning_rate": 0.0001,
|
686 |
+
"step": 18760
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 35.45,
|
690 |
+
"learning_rate": 0.0001,
|
691 |
+
"loss": 0.1243,
|
692 |
+
"step": 19000
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 36.0,
|
696 |
+
"eval_accuracy": 0.555912826009289,
|
697 |
+
"eval_f1_macro": 0.7991433380498747,
|
698 |
+
"eval_f1_micro": 0.8434315360385399,
|
699 |
+
"eval_loss": 0.10998840630054474,
|
700 |
+
"eval_roc_auc": 0.889847418195485,
|
701 |
+
"eval_runtime": 712.761,
|
702 |
+
"eval_samples_per_second": 3.927,
|
703 |
+
"eval_steps_per_second": 0.246,
|
704 |
+
"learning_rate": 0.0001,
|
705 |
+
"step": 19296
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 36.38,
|
709 |
+
"learning_rate": 0.0001,
|
710 |
+
"loss": 0.1231,
|
711 |
+
"step": 19500
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 37.0,
|
715 |
+
"eval_accuracy": 0.564130046445159,
|
716 |
+
"eval_f1_macro": 0.8086403056854424,
|
717 |
+
"eval_f1_micro": 0.8485288775880857,
|
718 |
+
"eval_loss": 0.10725793987512589,
|
719 |
+
"eval_roc_auc": 0.8988640009924486,
|
720 |
+
"eval_runtime": 714.0011,
|
721 |
+
"eval_samples_per_second": 3.92,
|
722 |
+
"eval_steps_per_second": 0.245,
|
723 |
+
"learning_rate": 0.0001,
|
724 |
+
"step": 19832
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 37.31,
|
728 |
+
"learning_rate": 0.0001,
|
729 |
+
"loss": 0.1245,
|
730 |
+
"step": 20000
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 38.0,
|
734 |
+
"eval_accuracy": 0.5602000714540908,
|
735 |
+
"eval_f1_macro": 0.8053806942991502,
|
736 |
+
"eval_f1_micro": 0.8455705566857777,
|
737 |
+
"eval_loss": 0.1091923713684082,
|
738 |
+
"eval_roc_auc": 0.8915942447938312,
|
739 |
+
"eval_runtime": 713.3543,
|
740 |
+
"eval_samples_per_second": 3.924,
|
741 |
+
"eval_steps_per_second": 0.245,
|
742 |
+
"learning_rate": 0.0001,
|
743 |
+
"step": 20368
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 38.25,
|
747 |
+
"learning_rate": 0.0001,
|
748 |
+
"loss": 0.1197,
|
749 |
+
"step": 20500
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 39.0,
|
753 |
+
"eval_accuracy": 0.5623436941764915,
|
754 |
+
"eval_f1_macro": 0.8111886307990975,
|
755 |
+
"eval_f1_micro": 0.8482584066530071,
|
756 |
+
"eval_loss": 0.10690516978502274,
|
757 |
+
"eval_roc_auc": 0.9001525872337657,
|
758 |
+
"eval_runtime": 742.3723,
|
759 |
+
"eval_samples_per_second": 3.77,
|
760 |
+
"eval_steps_per_second": 0.236,
|
761 |
+
"learning_rate": 0.0001,
|
762 |
+
"step": 20904
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 39.18,
|
766 |
+
"learning_rate": 0.0001,
|
767 |
+
"loss": 0.1242,
|
768 |
+
"step": 21000
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 40.0,
|
772 |
+
"eval_accuracy": 0.5637727759914255,
|
773 |
+
"eval_f1_macro": 0.8080882298039329,
|
774 |
+
"eval_f1_micro": 0.8468215158924205,
|
775 |
+
"eval_loss": 0.10654206573963165,
|
776 |
+
"eval_roc_auc": 0.8949146236875923,
|
777 |
+
"eval_runtime": 748.0644,
|
778 |
+
"eval_samples_per_second": 3.742,
|
779 |
+
"eval_steps_per_second": 0.234,
|
780 |
+
"learning_rate": 0.0001,
|
781 |
+
"step": 21440
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 40.11,
|
785 |
+
"learning_rate": 0.0001,
|
786 |
+
"loss": 0.1167,
|
787 |
+
"step": 21500
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 41.0,
|
791 |
+
"eval_accuracy": 0.5591282600928903,
|
792 |
+
"eval_f1_macro": 0.8043452814541342,
|
793 |
+
"eval_f1_micro": 0.8462199312714777,
|
794 |
+
"eval_loss": 0.10834041237831116,
|
795 |
+
"eval_roc_auc": 0.8933701178832314,
|
796 |
+
"eval_runtime": 743.3565,
|
797 |
+
"eval_samples_per_second": 3.765,
|
798 |
+
"eval_steps_per_second": 0.235,
|
799 |
+
"learning_rate": 0.0001,
|
800 |
+
"step": 21976
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 41.04,
|
804 |
+
"learning_rate": 0.0001,
|
805 |
+
"loss": 0.1201,
|
806 |
+
"step": 22000
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 41.98,
|
810 |
+
"learning_rate": 0.0001,
|
811 |
+
"loss": 0.1179,
|
812 |
+
"step": 22500
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 42.0,
|
816 |
+
"eval_accuracy": 0.5691318327974276,
|
817 |
+
"eval_f1_macro": 0.8089823958516517,
|
818 |
+
"eval_f1_micro": 0.8505242623750304,
|
819 |
+
"eval_loss": 0.10719550400972366,
|
820 |
+
"eval_roc_auc": 0.8978175825326844,
|
821 |
+
"eval_runtime": 698.4214,
|
822 |
+
"eval_samples_per_second": 4.008,
|
823 |
+
"eval_steps_per_second": 0.251,
|
824 |
+
"learning_rate": 0.0001,
|
825 |
+
"step": 22512
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 42.91,
|
829 |
+
"learning_rate": 0.0001,
|
830 |
+
"loss": 0.1186,
|
831 |
+
"step": 23000
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 43.0,
|
835 |
+
"eval_accuracy": 0.5612718828152912,
|
836 |
+
"eval_f1_macro": 0.8071782588939219,
|
837 |
+
"eval_f1_micro": 0.8482877132686878,
|
838 |
+
"eval_loss": 0.11790523678064346,
|
839 |
+
"eval_roc_auc": 0.8944810701797377,
|
840 |
+
"eval_runtime": 695.4681,
|
841 |
+
"eval_samples_per_second": 4.025,
|
842 |
+
"eval_steps_per_second": 0.252,
|
843 |
+
"learning_rate": 0.0001,
|
844 |
+
"step": 23048
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 43.84,
|
848 |
+
"learning_rate": 0.0001,
|
849 |
+
"loss": 0.1174,
|
850 |
+
"step": 23500
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 44.0,
|
854 |
+
"eval_accuracy": 0.5655591282600929,
|
855 |
+
"eval_f1_macro": 0.808033951861079,
|
856 |
+
"eval_f1_micro": 0.8477235124701268,
|
857 |
+
"eval_loss": 0.10680884122848511,
|
858 |
+
"eval_roc_auc": 0.8946411623084602,
|
859 |
+
"eval_runtime": 698.3846,
|
860 |
+
"eval_samples_per_second": 4.008,
|
861 |
+
"eval_steps_per_second": 0.251,
|
862 |
+
"learning_rate": 0.0001,
|
863 |
+
"step": 23584
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 44.78,
|
867 |
+
"learning_rate": 0.0001,
|
868 |
+
"loss": 0.1153,
|
869 |
+
"step": 24000
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 45.0,
|
873 |
+
"eval_accuracy": 0.571632725973562,
|
874 |
+
"eval_f1_macro": 0.8193083754252073,
|
875 |
+
"eval_f1_micro": 0.85338323172572,
|
876 |
+
"eval_loss": 0.10468064993619919,
|
877 |
+
"eval_roc_auc": 0.9025354227051225,
|
878 |
+
"eval_runtime": 732.8049,
|
879 |
+
"eval_samples_per_second": 3.82,
|
880 |
+
"eval_steps_per_second": 0.239,
|
881 |
+
"learning_rate": 0.0001,
|
882 |
+
"step": 24120
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 45.71,
|
886 |
+
"learning_rate": 0.0001,
|
887 |
+
"loss": 0.1167,
|
888 |
+
"step": 24500
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 46.0,
|
892 |
+
"eval_accuracy": 0.5666309396212933,
|
893 |
+
"eval_f1_macro": 0.822920967846307,
|
894 |
+
"eval_f1_micro": 0.8535311572700296,
|
895 |
+
"eval_loss": 0.10616234689950943,
|
896 |
+
"eval_roc_auc": 0.9080353429554627,
|
897 |
+
"eval_runtime": 730.6388,
|
898 |
+
"eval_samples_per_second": 3.831,
|
899 |
+
"eval_steps_per_second": 0.24,
|
900 |
+
"learning_rate": 0.0001,
|
901 |
+
"step": 24656
|
902 |
+
},
|
903 |
+
{
|
904 |
+
"epoch": 46.64,
|
905 |
+
"learning_rate": 0.0001,
|
906 |
+
"loss": 0.1162,
|
907 |
+
"step": 25000
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 47.0,
|
911 |
+
"eval_accuracy": 0.5694891032511611,
|
912 |
+
"eval_f1_macro": 0.8179688260529804,
|
913 |
+
"eval_f1_micro": 0.8521570528356762,
|
914 |
+
"eval_loss": 0.10597173124551773,
|
915 |
+
"eval_roc_auc": 0.9006400086530192,
|
916 |
+
"eval_runtime": 707.3305,
|
917 |
+
"eval_samples_per_second": 3.957,
|
918 |
+
"eval_steps_per_second": 0.247,
|
919 |
+
"learning_rate": 0.0001,
|
920 |
+
"step": 25192
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 47.57,
|
924 |
+
"learning_rate": 0.0001,
|
925 |
+
"loss": 0.1145,
|
926 |
+
"step": 25500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 48.0,
|
930 |
+
"eval_accuracy": 0.5744908896034298,
|
931 |
+
"eval_f1_macro": 0.8153624729345684,
|
932 |
+
"eval_f1_micro": 0.8529072240111792,
|
933 |
+
"eval_loss": 0.10410725325345993,
|
934 |
+
"eval_roc_auc": 0.9002018263609444,
|
935 |
+
"eval_runtime": 693.6803,
|
936 |
+
"eval_samples_per_second": 4.035,
|
937 |
+
"eval_steps_per_second": 0.252,
|
938 |
+
"learning_rate": 0.0001,
|
939 |
+
"step": 25728
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 48.51,
|
943 |
+
"learning_rate": 0.0001,
|
944 |
+
"loss": 0.1143,
|
945 |
+
"step": 26000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 49.0,
|
949 |
+
"eval_accuracy": 0.5652018578063595,
|
950 |
+
"eval_f1_macro": 0.8181584192698232,
|
951 |
+
"eval_f1_micro": 0.8542054951001022,
|
952 |
+
"eval_loss": 0.10334235429763794,
|
953 |
+
"eval_roc_auc": 0.9042645729162101,
|
954 |
+
"eval_runtime": 700.9047,
|
955 |
+
"eval_samples_per_second": 3.993,
|
956 |
+
"eval_steps_per_second": 0.25,
|
957 |
+
"learning_rate": 0.0001,
|
958 |
+
"step": 26264
|
959 |
+
},
|
960 |
+
{
|
961 |
+
"epoch": 49.44,
|
962 |
+
"learning_rate": 0.0001,
|
963 |
+
"loss": 0.1129,
|
964 |
+
"step": 26500
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 50.0,
|
968 |
+
"eval_accuracy": 0.5719899964272954,
|
969 |
+
"eval_f1_macro": 0.8102121985255263,
|
970 |
+
"eval_f1_micro": 0.850807689945335,
|
971 |
+
"eval_loss": 0.10544609278440475,
|
972 |
+
"eval_roc_auc": 0.8956334123918851,
|
973 |
+
"eval_runtime": 741.7594,
|
974 |
+
"eval_samples_per_second": 3.773,
|
975 |
+
"eval_steps_per_second": 0.236,
|
976 |
+
"learning_rate": 0.0001,
|
977 |
+
"step": 26800
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 50.0,
|
981 |
+
"learning_rate": 0.0001,
|
982 |
+
"step": 26800,
|
983 |
+
"total_flos": 1.1878568451307192e+20,
|
984 |
+
"train_loss": 0.15577314120620045,
|
985 |
+
"train_runtime": 143618.003,
|
986 |
+
"train_samples_per_second": 2.983,
|
987 |
+
"train_steps_per_second": 0.187
|
988 |
+
}
|
989 |
+
],
|
990 |
+
"logging_steps": 500,
|
991 |
+
"max_steps": 26800,
|
992 |
+
"num_train_epochs": 50,
|
993 |
+
"save_steps": 500,
|
994 |
+
"total_flos": 1.1878568451307192e+20,
|
995 |
+
"trial_name": null,
|
996 |
+
"trial_params": null
|
997 |
+
}
|