Jeremiah Zhou
commited on
Commit
•
60af700
1
Parent(s):
e8c9195
End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- runs/Jun21_14-48-15_mewtwo/events.out.tfevents.1655825695.mewtwo +3 -0
- train_results.json +8 -0
- trainer_state.json +124 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9323394495412844,
|
4 |
+
"eval_loss": 0.2478291541337967,
|
5 |
+
"eval_runtime": 3.9031,
|
6 |
+
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 223.413,
|
8 |
+
"eval_steps_per_second": 27.927,
|
9 |
+
"train_loss": 0.1281920957829588,
|
10 |
+
"train_runtime": 2481.1506,
|
11 |
+
"train_samples": 67349,
|
12 |
+
"train_samples_per_second": 81.433,
|
13 |
+
"train_steps_per_second": 2.545
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9323394495412844,
|
4 |
+
"eval_loss": 0.2478291541337967,
|
5 |
+
"eval_runtime": 3.9031,
|
6 |
+
"eval_samples": 872,
|
7 |
+
"eval_samples_per_second": 223.413,
|
8 |
+
"eval_steps_per_second": 27.927
|
9 |
+
}
|
runs/Jun21_14-48-15_mewtwo/events.out.tfevents.1655825695.mewtwo
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c10309ce8b4d2b861f73c5a43ff51497da794f395df02380e990a67353b2458f
|
3 |
+
size 40
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.1281920957829588,
|
4 |
+
"train_runtime": 2481.1506,
|
5 |
+
"train_samples": 67349,
|
6 |
+
"train_samples_per_second": 81.433,
|
7 |
+
"train_steps_per_second": 2.545
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9323394495412844,
|
3 |
+
"best_model_checkpoint": "./fine-tune/bert-base-uncased/sst2/checkpoint-4210",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 6315,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.24,
|
12 |
+
"learning_rate": 1.8416468725257326e-05,
|
13 |
+
"loss": 0.2904,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.48,
|
18 |
+
"learning_rate": 1.6832937450514647e-05,
|
19 |
+
"loss": 0.2097,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.71,
|
24 |
+
"learning_rate": 1.5249406175771972e-05,
|
25 |
+
"loss": 0.1752,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.95,
|
30 |
+
"learning_rate": 1.3665874901029297e-05,
|
31 |
+
"loss": 0.1668,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.0,
|
36 |
+
"eval_accuracy": 0.9174311926605505,
|
37 |
+
"eval_loss": 0.2512936294078827,
|
38 |
+
"eval_runtime": 4.0394,
|
39 |
+
"eval_samples_per_second": 215.874,
|
40 |
+
"eval_steps_per_second": 26.984,
|
41 |
+
"step": 2105
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.19,
|
45 |
+
"learning_rate": 1.208234362628662e-05,
|
46 |
+
"loss": 0.1199,
|
47 |
+
"step": 2500
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.43,
|
51 |
+
"learning_rate": 1.0498812351543943e-05,
|
52 |
+
"loss": 0.1049,
|
53 |
+
"step": 3000
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.66,
|
57 |
+
"learning_rate": 8.915281076801267e-06,
|
58 |
+
"loss": 0.1075,
|
59 |
+
"step": 3500
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.9,
|
63 |
+
"learning_rate": 7.331749802058591e-06,
|
64 |
+
"loss": 0.1119,
|
65 |
+
"step": 4000
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.0,
|
69 |
+
"eval_accuracy": 0.9323394495412844,
|
70 |
+
"eval_loss": 0.2478291541337967,
|
71 |
+
"eval_runtime": 4.1684,
|
72 |
+
"eval_samples_per_second": 209.192,
|
73 |
+
"eval_steps_per_second": 26.149,
|
74 |
+
"step": 4210
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.14,
|
78 |
+
"learning_rate": 5.748218527315916e-06,
|
79 |
+
"loss": 0.0828,
|
80 |
+
"step": 4500
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 2.38,
|
84 |
+
"learning_rate": 4.164687252573238e-06,
|
85 |
+
"loss": 0.0667,
|
86 |
+
"step": 5000
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.61,
|
90 |
+
"learning_rate": 2.581155977830562e-06,
|
91 |
+
"loss": 0.069,
|
92 |
+
"step": 5500
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 2.85,
|
96 |
+
"learning_rate": 9.976247030878861e-07,
|
97 |
+
"loss": 0.0699,
|
98 |
+
"step": 6000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.0,
|
102 |
+
"eval_accuracy": 0.926605504587156,
|
103 |
+
"eval_loss": 0.2763631343841553,
|
104 |
+
"eval_runtime": 4.0199,
|
105 |
+
"eval_samples_per_second": 216.923,
|
106 |
+
"eval_steps_per_second": 27.115,
|
107 |
+
"step": 6315
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 3.0,
|
111 |
+
"step": 6315,
|
112 |
+
"total_flos": 1.329019985058048e+16,
|
113 |
+
"train_loss": 0.1281920957829588,
|
114 |
+
"train_runtime": 2481.1506,
|
115 |
+
"train_samples_per_second": 81.433,
|
116 |
+
"train_steps_per_second": 2.545
|
117 |
+
}
|
118 |
+
],
|
119 |
+
"max_steps": 6315,
|
120 |
+
"num_train_epochs": 3,
|
121 |
+
"total_flos": 1.329019985058048e+16,
|
122 |
+
"trial_name": null,
|
123 |
+
"trial_params": null
|
124 |
+
}
|