selmamalak
commited on
Commit
•
162e0be
1
Parent(s):
d270617
End of training
Browse files- README.md +5 -5
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +913 -0
README.md
CHANGED
@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
23 |
|
24 |
This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the medmnist-v2 dataset.
|
25 |
It achieves the following results on the evaluation set:
|
26 |
-
- Loss: 0.
|
27 |
-
- Accuracy: 0.
|
28 |
-
- Precision: 0.
|
29 |
-
- Recall: 0.
|
30 |
-
- F1: 0.
|
31 |
|
32 |
## Model description
|
33 |
|
|
|
23 |
|
24 |
This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the medmnist-v2 dataset.
|
25 |
It achieves the following results on the evaluation set:
|
26 |
+
- Loss: 0.5476
|
27 |
+
- Accuracy: 0.7960
|
28 |
+
- Precision: 0.6643
|
29 |
+
- Recall: 0.5891
|
30 |
+
- F1: 0.6164
|
31 |
|
32 |
## Model description
|
33 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.95,
|
3 |
+
"eval_accuracy": 0.7960099750623442,
|
4 |
+
"eval_f1": 0.6164338119893483,
|
5 |
+
"eval_loss": 0.54756760597229,
|
6 |
+
"eval_precision": 0.6642856199761363,
|
7 |
+
"eval_recall": 0.5891152176750621,
|
8 |
+
"eval_runtime": 11.0422,
|
9 |
+
"eval_samples_per_second": 181.576,
|
10 |
+
"eval_steps_per_second": 11.411,
|
11 |
+
"total_flos": 5.442882169274339e+18,
|
12 |
+
"train_loss": 0.7150778630457887,
|
13 |
+
"train_runtime": 818.9501,
|
14 |
+
"train_samples_per_second": 85.561,
|
15 |
+
"train_steps_per_second": 1.331
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.95,
|
3 |
+
"eval_accuracy": 0.7960099750623442,
|
4 |
+
"eval_f1": 0.6164338119893483,
|
5 |
+
"eval_loss": 0.54756760597229,
|
6 |
+
"eval_precision": 0.6642856199761363,
|
7 |
+
"eval_recall": 0.5891152176750621,
|
8 |
+
"eval_runtime": 11.0422,
|
9 |
+
"eval_samples_per_second": 181.576,
|
10 |
+
"eval_steps_per_second": 11.411
|
11 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.95,
|
3 |
+
"total_flos": 5.442882169274339e+18,
|
4 |
+
"train_loss": 0.7150778630457887,
|
5 |
+
"train_runtime": 818.9501,
|
6 |
+
"train_samples_per_second": 85.561,
|
7 |
+
"train_steps_per_second": 1.331
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,913 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7956131605184447,
|
3 |
+
"best_model_checkpoint": "deit-base-patch16-224-finetuned-lora-medmnistv2/checkpoint-1090",
|
4 |
+
"epoch": 9.954337899543379,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1090,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.09,
|
13 |
+
"grad_norm": 3.768280267715454,
|
14 |
+
"learning_rate": 0.004954128440366973,
|
15 |
+
"loss": 1.2551,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.18,
|
20 |
+
"grad_norm": 1.6224374771118164,
|
21 |
+
"learning_rate": 0.004908256880733945,
|
22 |
+
"loss": 1.1194,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.27,
|
27 |
+
"grad_norm": 0.8902679085731506,
|
28 |
+
"learning_rate": 0.004862385321100918,
|
29 |
+
"loss": 0.9226,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.37,
|
34 |
+
"grad_norm": 1.336371898651123,
|
35 |
+
"learning_rate": 0.00481651376146789,
|
36 |
+
"loss": 0.9343,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.46,
|
41 |
+
"grad_norm": 1.9396265745162964,
|
42 |
+
"learning_rate": 0.0047706422018348625,
|
43 |
+
"loss": 0.849,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.55,
|
48 |
+
"grad_norm": 1.6278876066207886,
|
49 |
+
"learning_rate": 0.004724770642201835,
|
50 |
+
"loss": 0.8533,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.64,
|
55 |
+
"grad_norm": 1.5454286336898804,
|
56 |
+
"learning_rate": 0.004678899082568808,
|
57 |
+
"loss": 0.8229,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.73,
|
62 |
+
"grad_norm": 1.064020037651062,
|
63 |
+
"learning_rate": 0.00463302752293578,
|
64 |
+
"loss": 0.8622,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.82,
|
69 |
+
"grad_norm": 1.5100964307785034,
|
70 |
+
"learning_rate": 0.0045871559633027525,
|
71 |
+
"loss": 0.8633,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.91,
|
76 |
+
"grad_norm": 1.3673182725906372,
|
77 |
+
"learning_rate": 0.004541284403669725,
|
78 |
+
"loss": 0.9012,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.0,
|
83 |
+
"eval_accuracy": 0.7228315054835494,
|
84 |
+
"eval_f1": 0.34621811450823214,
|
85 |
+
"eval_loss": 0.7629963159561157,
|
86 |
+
"eval_precision": 0.42629140706004787,
|
87 |
+
"eval_recall": 0.32692877938779574,
|
88 |
+
"eval_runtime": 6.2499,
|
89 |
+
"eval_samples_per_second": 160.484,
|
90 |
+
"eval_steps_per_second": 10.08,
|
91 |
+
"step": 109
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 1.0,
|
95 |
+
"grad_norm": 0.9423499703407288,
|
96 |
+
"learning_rate": 0.004495412844036698,
|
97 |
+
"loss": 0.8922,
|
98 |
+
"step": 110
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.1,
|
102 |
+
"grad_norm": 2.50795841217041,
|
103 |
+
"learning_rate": 0.0044495412844036695,
|
104 |
+
"loss": 0.8791,
|
105 |
+
"step": 120
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.19,
|
109 |
+
"grad_norm": 1.4502021074295044,
|
110 |
+
"learning_rate": 0.004403669724770643,
|
111 |
+
"loss": 0.8973,
|
112 |
+
"step": 130
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.28,
|
116 |
+
"grad_norm": 1.703600287437439,
|
117 |
+
"learning_rate": 0.004357798165137615,
|
118 |
+
"loss": 0.8246,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.37,
|
123 |
+
"grad_norm": 0.7422580122947693,
|
124 |
+
"learning_rate": 0.004311926605504587,
|
125 |
+
"loss": 0.7913,
|
126 |
+
"step": 150
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 1.46,
|
130 |
+
"grad_norm": 1.146699070930481,
|
131 |
+
"learning_rate": 0.0042660550458715595,
|
132 |
+
"loss": 0.8028,
|
133 |
+
"step": 160
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1.55,
|
137 |
+
"grad_norm": 2.6000311374664307,
|
138 |
+
"learning_rate": 0.004220183486238533,
|
139 |
+
"loss": 0.9162,
|
140 |
+
"step": 170
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.64,
|
144 |
+
"grad_norm": 0.8894189596176147,
|
145 |
+
"learning_rate": 0.004174311926605505,
|
146 |
+
"loss": 0.9022,
|
147 |
+
"step": 180
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 1.74,
|
151 |
+
"grad_norm": 0.9741529226303101,
|
152 |
+
"learning_rate": 0.004128440366972477,
|
153 |
+
"loss": 0.8879,
|
154 |
+
"step": 190
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.83,
|
158 |
+
"grad_norm": 2.898531198501587,
|
159 |
+
"learning_rate": 0.00408256880733945,
|
160 |
+
"loss": 0.7974,
|
161 |
+
"step": 200
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.92,
|
165 |
+
"grad_norm": 1.5416871309280396,
|
166 |
+
"learning_rate": 0.004036697247706422,
|
167 |
+
"loss": 0.7636,
|
168 |
+
"step": 210
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 2.0,
|
172 |
+
"eval_accuracy": 0.7288135593220338,
|
173 |
+
"eval_f1": 0.3788829143385214,
|
174 |
+
"eval_loss": 0.7212122082710266,
|
175 |
+
"eval_precision": 0.591156357572359,
|
176 |
+
"eval_recall": 0.3630725573348524,
|
177 |
+
"eval_runtime": 5.4131,
|
178 |
+
"eval_samples_per_second": 185.292,
|
179 |
+
"eval_steps_per_second": 11.638,
|
180 |
+
"step": 219
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 2.01,
|
184 |
+
"grad_norm": 0.9239124059677124,
|
185 |
+
"learning_rate": 0.003990825688073394,
|
186 |
+
"loss": 0.8466,
|
187 |
+
"step": 220
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 2.1,
|
191 |
+
"grad_norm": 0.9725480675697327,
|
192 |
+
"learning_rate": 0.003944954128440367,
|
193 |
+
"loss": 0.8851,
|
194 |
+
"step": 230
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 2.19,
|
198 |
+
"grad_norm": 1.1037930250167847,
|
199 |
+
"learning_rate": 0.0038990825688073397,
|
200 |
+
"loss": 0.7814,
|
201 |
+
"step": 240
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2.28,
|
205 |
+
"grad_norm": 1.5679117441177368,
|
206 |
+
"learning_rate": 0.0038532110091743124,
|
207 |
+
"loss": 0.7781,
|
208 |
+
"step": 250
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 2.37,
|
212 |
+
"grad_norm": 0.7649789452552795,
|
213 |
+
"learning_rate": 0.0038073394495412843,
|
214 |
+
"loss": 0.8029,
|
215 |
+
"step": 260
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 2.47,
|
219 |
+
"grad_norm": 1.4153032302856445,
|
220 |
+
"learning_rate": 0.003761467889908257,
|
221 |
+
"loss": 0.7439,
|
222 |
+
"step": 270
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 2.56,
|
226 |
+
"grad_norm": 1.177064299583435,
|
227 |
+
"learning_rate": 0.0037155963302752293,
|
228 |
+
"loss": 0.8781,
|
229 |
+
"step": 280
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2.65,
|
233 |
+
"grad_norm": 0.9871839284896851,
|
234 |
+
"learning_rate": 0.003669724770642202,
|
235 |
+
"loss": 0.7439,
|
236 |
+
"step": 290
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.74,
|
240 |
+
"grad_norm": 0.7878830432891846,
|
241 |
+
"learning_rate": 0.0036238532110091743,
|
242 |
+
"loss": 0.8001,
|
243 |
+
"step": 300
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 2.83,
|
247 |
+
"grad_norm": 1.0698702335357666,
|
248 |
+
"learning_rate": 0.003577981651376147,
|
249 |
+
"loss": 0.8568,
|
250 |
+
"step": 310
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 2.92,
|
254 |
+
"grad_norm": 0.9107087850570679,
|
255 |
+
"learning_rate": 0.0035321100917431194,
|
256 |
+
"loss": 0.7189,
|
257 |
+
"step": 320
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 3.0,
|
261 |
+
"eval_accuracy": 0.7258225324027916,
|
262 |
+
"eval_f1": 0.393460298491453,
|
263 |
+
"eval_loss": 0.7621892690658569,
|
264 |
+
"eval_precision": 0.4464810481413866,
|
265 |
+
"eval_recall": 0.422982191132074,
|
266 |
+
"eval_runtime": 5.2671,
|
267 |
+
"eval_samples_per_second": 190.428,
|
268 |
+
"eval_steps_per_second": 11.961,
|
269 |
+
"step": 328
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3.01,
|
273 |
+
"grad_norm": 1.1653732061386108,
|
274 |
+
"learning_rate": 0.003486238532110092,
|
275 |
+
"loss": 0.7245,
|
276 |
+
"step": 330
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 3.11,
|
280 |
+
"grad_norm": 0.693824291229248,
|
281 |
+
"learning_rate": 0.0034403669724770644,
|
282 |
+
"loss": 0.7883,
|
283 |
+
"step": 340
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 3.2,
|
287 |
+
"grad_norm": 0.7583943009376526,
|
288 |
+
"learning_rate": 0.003394495412844037,
|
289 |
+
"loss": 0.7618,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 3.29,
|
294 |
+
"grad_norm": 1.0829322338104248,
|
295 |
+
"learning_rate": 0.003348623853211009,
|
296 |
+
"loss": 0.7534,
|
297 |
+
"step": 360
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3.38,
|
301 |
+
"grad_norm": 1.2232468128204346,
|
302 |
+
"learning_rate": 0.0033027522935779817,
|
303 |
+
"loss": 0.6827,
|
304 |
+
"step": 370
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 3.47,
|
308 |
+
"grad_norm": 1.0095463991165161,
|
309 |
+
"learning_rate": 0.003256880733944954,
|
310 |
+
"loss": 0.7615,
|
311 |
+
"step": 380
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 3.56,
|
315 |
+
"grad_norm": 1.059535026550293,
|
316 |
+
"learning_rate": 0.003211009174311927,
|
317 |
+
"loss": 0.8094,
|
318 |
+
"step": 390
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 3.65,
|
322 |
+
"grad_norm": 0.9983842372894287,
|
323 |
+
"learning_rate": 0.003165137614678899,
|
324 |
+
"loss": 0.7649,
|
325 |
+
"step": 400
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 3.74,
|
329 |
+
"grad_norm": 0.6007803082466125,
|
330 |
+
"learning_rate": 0.003119266055045872,
|
331 |
+
"loss": 0.7825,
|
332 |
+
"step": 410
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 3.84,
|
336 |
+
"grad_norm": 1.1800183057785034,
|
337 |
+
"learning_rate": 0.003073394495412844,
|
338 |
+
"loss": 0.7296,
|
339 |
+
"step": 420
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 3.93,
|
343 |
+
"grad_norm": 1.049116611480713,
|
344 |
+
"learning_rate": 0.003027522935779817,
|
345 |
+
"loss": 0.6904,
|
346 |
+
"step": 430
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 4.0,
|
350 |
+
"eval_accuracy": 0.7437686939182453,
|
351 |
+
"eval_f1": 0.4115031629499951,
|
352 |
+
"eval_loss": 0.7280949950218201,
|
353 |
+
"eval_precision": 0.48879535404583313,
|
354 |
+
"eval_recall": 0.4484100461852218,
|
355 |
+
"eval_runtime": 5.2319,
|
356 |
+
"eval_samples_per_second": 191.708,
|
357 |
+
"eval_steps_per_second": 12.041,
|
358 |
+
"step": 438
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 4.02,
|
362 |
+
"grad_norm": 0.9003276824951172,
|
363 |
+
"learning_rate": 0.002981651376146789,
|
364 |
+
"loss": 0.6584,
|
365 |
+
"step": 440
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 4.11,
|
369 |
+
"grad_norm": 1.3586938381195068,
|
370 |
+
"learning_rate": 0.002935779816513762,
|
371 |
+
"loss": 0.7175,
|
372 |
+
"step": 450
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 4.2,
|
376 |
+
"grad_norm": 0.5924133062362671,
|
377 |
+
"learning_rate": 0.0028899082568807338,
|
378 |
+
"loss": 0.67,
|
379 |
+
"step": 460
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 4.29,
|
383 |
+
"grad_norm": 0.9187817573547363,
|
384 |
+
"learning_rate": 0.0028440366972477065,
|
385 |
+
"loss": 0.697,
|
386 |
+
"step": 470
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 4.38,
|
390 |
+
"grad_norm": 0.7464513778686523,
|
391 |
+
"learning_rate": 0.002798165137614679,
|
392 |
+
"loss": 0.6691,
|
393 |
+
"step": 480
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 4.47,
|
397 |
+
"grad_norm": 0.6532416343688965,
|
398 |
+
"learning_rate": 0.0027522935779816515,
|
399 |
+
"loss": 0.7217,
|
400 |
+
"step": 490
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 4.57,
|
404 |
+
"grad_norm": 0.7422506809234619,
|
405 |
+
"learning_rate": 0.002706422018348624,
|
406 |
+
"loss": 0.7619,
|
407 |
+
"step": 500
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 4.66,
|
411 |
+
"grad_norm": 0.8745353817939758,
|
412 |
+
"learning_rate": 0.0026605504587155966,
|
413 |
+
"loss": 0.7264,
|
414 |
+
"step": 510
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 4.75,
|
418 |
+
"grad_norm": 0.7916358113288879,
|
419 |
+
"learning_rate": 0.002614678899082569,
|
420 |
+
"loss": 0.7592,
|
421 |
+
"step": 520
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 4.84,
|
425 |
+
"grad_norm": 1.0833995342254639,
|
426 |
+
"learning_rate": 0.0025688073394495416,
|
427 |
+
"loss": 0.7263,
|
428 |
+
"step": 530
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.93,
|
432 |
+
"grad_norm": 1.0176126956939697,
|
433 |
+
"learning_rate": 0.0025229357798165135,
|
434 |
+
"loss": 0.7658,
|
435 |
+
"step": 540
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 5.0,
|
439 |
+
"eval_accuracy": 0.7397806580259222,
|
440 |
+
"eval_f1": 0.3752685826577452,
|
441 |
+
"eval_loss": 0.7215412259101868,
|
442 |
+
"eval_precision": 0.4855492779862528,
|
443 |
+
"eval_recall": 0.42520631993699903,
|
444 |
+
"eval_runtime": 5.5429,
|
445 |
+
"eval_samples_per_second": 180.953,
|
446 |
+
"eval_steps_per_second": 11.366,
|
447 |
+
"step": 547
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 5.02,
|
451 |
+
"grad_norm": 1.45496666431427,
|
452 |
+
"learning_rate": 0.0024770642201834866,
|
453 |
+
"loss": 0.7024,
|
454 |
+
"step": 550
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 5.11,
|
458 |
+
"grad_norm": 0.8751833438873291,
|
459 |
+
"learning_rate": 0.002431192660550459,
|
460 |
+
"loss": 0.741,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 5.21,
|
465 |
+
"grad_norm": 0.7062868475914001,
|
466 |
+
"learning_rate": 0.0023853211009174312,
|
467 |
+
"loss": 0.6733,
|
468 |
+
"step": 570
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 5.3,
|
472 |
+
"grad_norm": 0.9199981689453125,
|
473 |
+
"learning_rate": 0.002339449541284404,
|
474 |
+
"loss": 0.6988,
|
475 |
+
"step": 580
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 5.39,
|
479 |
+
"grad_norm": 0.8544884324073792,
|
480 |
+
"learning_rate": 0.0022935779816513763,
|
481 |
+
"loss": 0.7073,
|
482 |
+
"step": 590
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 5.48,
|
486 |
+
"grad_norm": 1.0523695945739746,
|
487 |
+
"learning_rate": 0.002247706422018349,
|
488 |
+
"loss": 0.6822,
|
489 |
+
"step": 600
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 5.57,
|
493 |
+
"grad_norm": 0.866678774356842,
|
494 |
+
"learning_rate": 0.0022018348623853213,
|
495 |
+
"loss": 0.6784,
|
496 |
+
"step": 610
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 5.66,
|
500 |
+
"grad_norm": 0.6989203095436096,
|
501 |
+
"learning_rate": 0.0021559633027522936,
|
502 |
+
"loss": 0.6796,
|
503 |
+
"step": 620
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 5.75,
|
507 |
+
"grad_norm": 0.4832663834095001,
|
508 |
+
"learning_rate": 0.0021100917431192663,
|
509 |
+
"loss": 0.6472,
|
510 |
+
"step": 630
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 5.84,
|
514 |
+
"grad_norm": 1.1230007410049438,
|
515 |
+
"learning_rate": 0.0020642201834862386,
|
516 |
+
"loss": 0.6693,
|
517 |
+
"step": 640
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 5.94,
|
521 |
+
"grad_norm": 0.6341413259506226,
|
522 |
+
"learning_rate": 0.002018348623853211,
|
523 |
+
"loss": 0.6363,
|
524 |
+
"step": 650
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6.0,
|
528 |
+
"eval_accuracy": 0.7676969092721835,
|
529 |
+
"eval_f1": 0.5121263559819323,
|
530 |
+
"eval_loss": 0.6328557133674622,
|
531 |
+
"eval_precision": 0.6350277126119822,
|
532 |
+
"eval_recall": 0.49284577902844884,
|
533 |
+
"eval_runtime": 5.4702,
|
534 |
+
"eval_samples_per_second": 183.357,
|
535 |
+
"eval_steps_per_second": 11.517,
|
536 |
+
"step": 657
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 6.03,
|
540 |
+
"grad_norm": 0.7254393696784973,
|
541 |
+
"learning_rate": 0.0019724770642201837,
|
542 |
+
"loss": 0.6398,
|
543 |
+
"step": 660
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 6.12,
|
547 |
+
"grad_norm": 0.6462991237640381,
|
548 |
+
"learning_rate": 0.0019266055045871562,
|
549 |
+
"loss": 0.6703,
|
550 |
+
"step": 670
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 6.21,
|
554 |
+
"grad_norm": 0.7446946501731873,
|
555 |
+
"learning_rate": 0.0018807339449541285,
|
556 |
+
"loss": 0.6184,
|
557 |
+
"step": 680
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 6.3,
|
561 |
+
"grad_norm": 0.5196910500526428,
|
562 |
+
"learning_rate": 0.001834862385321101,
|
563 |
+
"loss": 0.6308,
|
564 |
+
"step": 690
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 6.39,
|
568 |
+
"grad_norm": 1.019028902053833,
|
569 |
+
"learning_rate": 0.0017889908256880735,
|
570 |
+
"loss": 0.664,
|
571 |
+
"step": 700
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 6.48,
|
575 |
+
"grad_norm": 1.3352869749069214,
|
576 |
+
"learning_rate": 0.001743119266055046,
|
577 |
+
"loss": 0.638,
|
578 |
+
"step": 710
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 6.58,
|
582 |
+
"grad_norm": 0.8105664253234863,
|
583 |
+
"learning_rate": 0.0016972477064220186,
|
584 |
+
"loss": 0.5801,
|
585 |
+
"step": 720
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 6.67,
|
589 |
+
"grad_norm": 1.0205323696136475,
|
590 |
+
"learning_rate": 0.0016513761467889909,
|
591 |
+
"loss": 0.6923,
|
592 |
+
"step": 730
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 6.76,
|
596 |
+
"grad_norm": 0.48183074593544006,
|
597 |
+
"learning_rate": 0.0016055045871559634,
|
598 |
+
"loss": 0.6583,
|
599 |
+
"step": 740
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 6.85,
|
603 |
+
"grad_norm": 0.7392696738243103,
|
604 |
+
"learning_rate": 0.001559633027522936,
|
605 |
+
"loss": 0.6784,
|
606 |
+
"step": 750
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 6.94,
|
610 |
+
"grad_norm": 0.7750418782234192,
|
611 |
+
"learning_rate": 0.0015137614678899084,
|
612 |
+
"loss": 0.6299,
|
613 |
+
"step": 760
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 7.0,
|
617 |
+
"eval_accuracy": 0.7716849451645065,
|
618 |
+
"eval_f1": 0.5713473581488847,
|
619 |
+
"eval_loss": 0.6116508841514587,
|
620 |
+
"eval_precision": 0.5962341473849692,
|
621 |
+
"eval_recall": 0.5781145727281558,
|
622 |
+
"eval_runtime": 5.4791,
|
623 |
+
"eval_samples_per_second": 183.06,
|
624 |
+
"eval_steps_per_second": 11.498,
|
625 |
+
"step": 766
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 7.03,
|
629 |
+
"grad_norm": 1.6914126873016357,
|
630 |
+
"learning_rate": 0.001467889908256881,
|
631 |
+
"loss": 0.7058,
|
632 |
+
"step": 770
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 7.12,
|
636 |
+
"grad_norm": 1.1266179084777832,
|
637 |
+
"learning_rate": 0.0014220183486238532,
|
638 |
+
"loss": 0.5969,
|
639 |
+
"step": 780
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 7.21,
|
643 |
+
"grad_norm": 0.8198122978210449,
|
644 |
+
"learning_rate": 0.0013761467889908258,
|
645 |
+
"loss": 0.6296,
|
646 |
+
"step": 790
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 7.31,
|
650 |
+
"grad_norm": 0.8668613433837891,
|
651 |
+
"learning_rate": 0.0013302752293577983,
|
652 |
+
"loss": 0.6779,
|
653 |
+
"step": 800
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 7.4,
|
657 |
+
"grad_norm": 0.757351279258728,
|
658 |
+
"learning_rate": 0.0012844036697247708,
|
659 |
+
"loss": 0.6589,
|
660 |
+
"step": 810
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 7.49,
|
664 |
+
"grad_norm": 1.231268286705017,
|
665 |
+
"learning_rate": 0.0012385321100917433,
|
666 |
+
"loss": 0.5909,
|
667 |
+
"step": 820
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 7.58,
|
671 |
+
"grad_norm": 0.6386240720748901,
|
672 |
+
"learning_rate": 0.0011926605504587156,
|
673 |
+
"loss": 0.6166,
|
674 |
+
"step": 830
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 7.67,
|
678 |
+
"grad_norm": 0.7646284103393555,
|
679 |
+
"learning_rate": 0.0011467889908256881,
|
680 |
+
"loss": 0.5815,
|
681 |
+
"step": 840
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 7.76,
|
685 |
+
"grad_norm": 1.1417447328567505,
|
686 |
+
"learning_rate": 0.0011009174311926607,
|
687 |
+
"loss": 0.5825,
|
688 |
+
"step": 850
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 7.85,
|
692 |
+
"grad_norm": 0.8213087916374207,
|
693 |
+
"learning_rate": 0.0010550458715596332,
|
694 |
+
"loss": 0.652,
|
695 |
+
"step": 860
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 7.95,
|
699 |
+
"grad_norm": 0.8747499585151672,
|
700 |
+
"learning_rate": 0.0010091743119266055,
|
701 |
+
"loss": 0.6011,
|
702 |
+
"step": 870
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 8.0,
|
706 |
+
"eval_accuracy": 0.7796610169491526,
|
707 |
+
"eval_f1": 0.5902452724888688,
|
708 |
+
"eval_loss": 0.5919255018234253,
|
709 |
+
"eval_precision": 0.6162323714867404,
|
710 |
+
"eval_recall": 0.575685794889542,
|
711 |
+
"eval_runtime": 5.3294,
|
712 |
+
"eval_samples_per_second": 188.202,
|
713 |
+
"eval_steps_per_second": 11.821,
|
714 |
+
"step": 876
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 8.04,
|
718 |
+
"grad_norm": 0.9114809632301331,
|
719 |
+
"learning_rate": 0.0009633027522935781,
|
720 |
+
"loss": 0.6365,
|
721 |
+
"step": 880
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 8.13,
|
725 |
+
"grad_norm": 0.7782912254333496,
|
726 |
+
"learning_rate": 0.0009174311926605505,
|
727 |
+
"loss": 0.5558,
|
728 |
+
"step": 890
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 8.22,
|
732 |
+
"grad_norm": 1.2907453775405884,
|
733 |
+
"learning_rate": 0.000871559633027523,
|
734 |
+
"loss": 0.5756,
|
735 |
+
"step": 900
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 8.31,
|
739 |
+
"grad_norm": 1.1318057775497437,
|
740 |
+
"learning_rate": 0.0008256880733944954,
|
741 |
+
"loss": 0.6574,
|
742 |
+
"step": 910
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 8.4,
|
746 |
+
"grad_norm": 0.5756754875183105,
|
747 |
+
"learning_rate": 0.000779816513761468,
|
748 |
+
"loss": 0.5494,
|
749 |
+
"step": 920
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 8.49,
|
753 |
+
"grad_norm": 0.7023201584815979,
|
754 |
+
"learning_rate": 0.0007339449541284405,
|
755 |
+
"loss": 0.6101,
|
756 |
+
"step": 930
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 8.58,
|
760 |
+
"grad_norm": 0.9913588166236877,
|
761 |
+
"learning_rate": 0.0006880733944954129,
|
762 |
+
"loss": 0.6034,
|
763 |
+
"step": 940
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 8.68,
|
767 |
+
"grad_norm": 0.982480525970459,
|
768 |
+
"learning_rate": 0.0006422018348623854,
|
769 |
+
"loss": 0.5981,
|
770 |
+
"step": 950
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 8.77,
|
774 |
+
"grad_norm": 1.1374191045761108,
|
775 |
+
"learning_rate": 0.0005963302752293578,
|
776 |
+
"loss": 0.6134,
|
777 |
+
"step": 960
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 8.86,
|
781 |
+
"grad_norm": 0.7602503299713135,
|
782 |
+
"learning_rate": 0.0005504587155963303,
|
783 |
+
"loss": 0.5561,
|
784 |
+
"step": 970
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 8.95,
|
788 |
+
"grad_norm": 0.8967719674110413,
|
789 |
+
"learning_rate": 0.0005045871559633027,
|
790 |
+
"loss": 0.6043,
|
791 |
+
"step": 980
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 9.0,
|
795 |
+
"eval_accuracy": 0.7946161515453639,
|
796 |
+
"eval_f1": 0.5983005873522603,
|
797 |
+
"eval_loss": 0.5475942492485046,
|
798 |
+
"eval_precision": 0.6295002331514908,
|
799 |
+
"eval_recall": 0.5812943349243114,
|
800 |
+
"eval_runtime": 5.2749,
|
801 |
+
"eval_samples_per_second": 190.145,
|
802 |
+
"eval_steps_per_second": 11.943,
|
803 |
+
"step": 985
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 9.04,
|
807 |
+
"grad_norm": 0.9292692542076111,
|
808 |
+
"learning_rate": 0.00045871559633027525,
|
809 |
+
"loss": 0.5415,
|
810 |
+
"step": 990
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 9.13,
|
814 |
+
"grad_norm": 0.8102772235870361,
|
815 |
+
"learning_rate": 0.0004128440366972477,
|
816 |
+
"loss": 0.5611,
|
817 |
+
"step": 1000
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 9.22,
|
821 |
+
"grad_norm": 1.1832762956619263,
|
822 |
+
"learning_rate": 0.00036697247706422024,
|
823 |
+
"loss": 0.5876,
|
824 |
+
"step": 1010
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 9.32,
|
828 |
+
"grad_norm": 1.1258927583694458,
|
829 |
+
"learning_rate": 0.0003211009174311927,
|
830 |
+
"loss": 0.4946,
|
831 |
+
"step": 1020
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 9.41,
|
835 |
+
"grad_norm": 0.8979453444480896,
|
836 |
+
"learning_rate": 0.00027522935779816516,
|
837 |
+
"loss": 0.5668,
|
838 |
+
"step": 1030
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 9.5,
|
842 |
+
"grad_norm": 0.9506226778030396,
|
843 |
+
"learning_rate": 0.00022935779816513763,
|
844 |
+
"loss": 0.5384,
|
845 |
+
"step": 1040
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 9.59,
|
849 |
+
"grad_norm": 1.1283026933670044,
|
850 |
+
"learning_rate": 0.00018348623853211012,
|
851 |
+
"loss": 0.5772,
|
852 |
+
"step": 1050
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 9.68,
|
856 |
+
"grad_norm": 0.9244889616966248,
|
857 |
+
"learning_rate": 0.00013761467889908258,
|
858 |
+
"loss": 0.5662,
|
859 |
+
"step": 1060
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 9.77,
|
863 |
+
"grad_norm": 0.8923238515853882,
|
864 |
+
"learning_rate": 9.174311926605506e-05,
|
865 |
+
"loss": 0.5921,
|
866 |
+
"step": 1070
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 9.86,
|
870 |
+
"grad_norm": 1.1653807163238525,
|
871 |
+
"learning_rate": 4.587155963302753e-05,
|
872 |
+
"loss": 0.5846,
|
873 |
+
"step": 1080
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 9.95,
|
877 |
+
"grad_norm": 0.8477634191513062,
|
878 |
+
"learning_rate": 0.0,
|
879 |
+
"loss": 0.5671,
|
880 |
+
"step": 1090
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 9.95,
|
884 |
+
"eval_accuracy": 0.7956131605184447,
|
885 |
+
"eval_f1": 0.5997799904348683,
|
886 |
+
"eval_loss": 0.5543830990791321,
|
887 |
+
"eval_precision": 0.627341257239154,
|
888 |
+
"eval_recall": 0.5810367281093276,
|
889 |
+
"eval_runtime": 5.4717,
|
890 |
+
"eval_samples_per_second": 183.308,
|
891 |
+
"eval_steps_per_second": 11.514,
|
892 |
+
"step": 1090
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 9.95,
|
896 |
+
"step": 1090,
|
897 |
+
"total_flos": 5.442882169274339e+18,
|
898 |
+
"train_loss": 0.7150778630457887,
|
899 |
+
"train_runtime": 818.9501,
|
900 |
+
"train_samples_per_second": 85.561,
|
901 |
+
"train_steps_per_second": 1.331
|
902 |
+
}
|
903 |
+
],
|
904 |
+
"logging_steps": 10,
|
905 |
+
"max_steps": 1090,
|
906 |
+
"num_input_tokens_seen": 0,
|
907 |
+
"num_train_epochs": 10,
|
908 |
+
"save_steps": 500,
|
909 |
+
"total_flos": 5.442882169274339e+18,
|
910 |
+
"train_batch_size": 16,
|
911 |
+
"trial_name": null,
|
912 |
+
"trial_params": null
|
913 |
+
}
|