End of training
Browse files- all_results.json +18 -18
- eval_results.json +7 -7
- generated_predictions.txt +0 -0
- predict_results.json +6 -6
- runs/May25_21-59-23_1733356bae24/events.out.tfevents.1685073147.1733356bae24.77485.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +1402 -76
all_results.json
CHANGED
@@ -1,23 +1,23 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_bleu":
|
4 |
-
"eval_gen_len":
|
5 |
-
"eval_loss":
|
6 |
-
"eval_runtime":
|
7 |
"eval_samples": 785,
|
8 |
-
"eval_samples_per_second": 5.
|
9 |
-
"eval_steps_per_second": 0.
|
10 |
-
"predict_bleu":
|
11 |
-
"predict_gen_len":
|
12 |
-
"predict_loss":
|
13 |
-
"predict_runtime":
|
14 |
"predict_samples": 785,
|
15 |
-
"predict_samples_per_second": 5.
|
16 |
-
"predict_steps_per_second": 0.
|
17 |
-
"total_flos": 2.232877359218688e+
|
18 |
-
"train_loss": 0.
|
19 |
-
"train_runtime":
|
20 |
"train_samples": 6279,
|
21 |
-
"train_samples_per_second": 30.
|
22 |
-
"train_steps_per_second": 1.
|
23 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_bleu": 14.8412,
|
4 |
+
"eval_gen_len": 98.6675,
|
5 |
+
"eval_loss": 1.0916588306427002,
|
6 |
+
"eval_runtime": 134.8299,
|
7 |
"eval_samples": 785,
|
8 |
+
"eval_samples_per_second": 5.822,
|
9 |
+
"eval_steps_per_second": 0.371,
|
10 |
+
"predict_bleu": 14.3233,
|
11 |
+
"predict_gen_len": 98.2013,
|
12 |
+
"predict_loss": 1.0994350910186768,
|
13 |
+
"predict_runtime": 133.0351,
|
14 |
"predict_samples": 785,
|
15 |
+
"predict_samples_per_second": 5.901,
|
16 |
+
"predict_steps_per_second": 0.376,
|
17 |
+
"total_flos": 2.232877359218688e+17,
|
18 |
+
"train_loss": 0.3279189860123108,
|
19 |
+
"train_runtime": 20714.0027,
|
20 |
"train_samples": 6279,
|
21 |
+
"train_samples_per_second": 30.313,
|
22 |
+
"train_steps_per_second": 1.897
|
23 |
}
|
eval_results.json
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_bleu":
|
4 |
-
"eval_gen_len":
|
5 |
-
"eval_loss":
|
6 |
-
"eval_runtime":
|
7 |
"eval_samples": 785,
|
8 |
-
"eval_samples_per_second": 5.
|
9 |
-
"eval_steps_per_second": 0.
|
10 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"eval_bleu": 14.8412,
|
4 |
+
"eval_gen_len": 98.6675,
|
5 |
+
"eval_loss": 1.0916588306427002,
|
6 |
+
"eval_runtime": 134.8299,
|
7 |
"eval_samples": 785,
|
8 |
+
"eval_samples_per_second": 5.822,
|
9 |
+
"eval_steps_per_second": 0.371
|
10 |
}
|
generated_predictions.txt
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
predict_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"predict_bleu":
|
3 |
-
"predict_gen_len":
|
4 |
-
"predict_loss":
|
5 |
-
"predict_runtime":
|
6 |
"predict_samples": 785,
|
7 |
-
"predict_samples_per_second": 5.
|
8 |
-
"predict_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"predict_bleu": 14.3233,
|
3 |
+
"predict_gen_len": 98.2013,
|
4 |
+
"predict_loss": 1.0994350910186768,
|
5 |
+
"predict_runtime": 133.0351,
|
6 |
"predict_samples": 785,
|
7 |
+
"predict_samples_per_second": 5.901,
|
8 |
+
"predict_steps_per_second": 0.376
|
9 |
}
|
runs/May25_21-59-23_1733356bae24/events.out.tfevents.1685073147.1733356bae24.77485.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9422907d6a6a69cf94501692003b1ee320edf55be0778d9e8ae39fc2bee0c4f9
|
3 |
+
size 465
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos": 2.232877359218688e+
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 6279,
|
7 |
-
"train_samples_per_second": 30.
|
8 |
-
"train_steps_per_second": 1.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 100.0,
|
3 |
+
"total_flos": 2.232877359218688e+17,
|
4 |
+
"train_loss": 0.3279189860123108,
|
5 |
+
"train_runtime": 20714.0027,
|
6 |
"train_samples": 6279,
|
7 |
+
"train_samples_per_second": 30.313,
|
8 |
+
"train_steps_per_second": 1.897
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,167 +1,1493 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.0,
|
12 |
-
"eval_bleu": 0.
|
13 |
"eval_gen_len": 19.0,
|
14 |
-
"eval_loss": 1.
|
15 |
-
"eval_runtime":
|
16 |
-
"eval_samples_per_second":
|
17 |
-
"eval_steps_per_second": 1.
|
18 |
"step": 393
|
19 |
},
|
20 |
{
|
21 |
"epoch": 1.27,
|
22 |
-
"learning_rate": 4.
|
23 |
-
"loss": 1.
|
24 |
"step": 500
|
25 |
},
|
26 |
{
|
27 |
"epoch": 2.0,
|
28 |
-
"eval_bleu": 0.
|
29 |
"eval_gen_len": 19.0,
|
30 |
-
"eval_loss": 0.
|
31 |
-
"eval_runtime":
|
32 |
-
"eval_samples_per_second":
|
33 |
-
"eval_steps_per_second": 1.
|
34 |
"step": 786
|
35 |
},
|
36 |
{
|
37 |
"epoch": 2.54,
|
38 |
-
"learning_rate":
|
39 |
-
"loss": 1.
|
40 |
"step": 1000
|
41 |
},
|
42 |
{
|
43 |
"epoch": 3.0,
|
44 |
-
"eval_bleu": 0.
|
45 |
"eval_gen_len": 19.0,
|
46 |
-
"eval_loss": 0.
|
47 |
-
"eval_runtime":
|
48 |
-
"eval_samples_per_second":
|
49 |
-
"eval_steps_per_second": 1.
|
50 |
"step": 1179
|
51 |
},
|
52 |
{
|
53 |
"epoch": 3.82,
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 0.
|
56 |
"step": 1500
|
57 |
},
|
58 |
{
|
59 |
"epoch": 4.0,
|
60 |
-
"eval_bleu": 0.
|
61 |
"eval_gen_len": 19.0,
|
62 |
-
"eval_loss": 0.
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second":
|
65 |
-
"eval_steps_per_second": 1.
|
66 |
"step": 1572
|
67 |
},
|
68 |
{
|
69 |
"epoch": 5.0,
|
70 |
-
"eval_bleu": 0.
|
71 |
"eval_gen_len": 19.0,
|
72 |
-
"eval_loss": 0.
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second": 1.
|
76 |
"step": 1965
|
77 |
},
|
78 |
{
|
79 |
"epoch": 5.09,
|
80 |
-
"learning_rate":
|
81 |
-
"loss": 0.
|
82 |
"step": 2000
|
83 |
},
|
84 |
{
|
85 |
"epoch": 6.0,
|
86 |
-
"eval_bleu": 0.
|
87 |
"eval_gen_len": 19.0,
|
88 |
-
"eval_loss": 0.
|
89 |
-
"eval_runtime":
|
90 |
-
"eval_samples_per_second":
|
91 |
-
"eval_steps_per_second": 1.
|
92 |
"step": 2358
|
93 |
},
|
94 |
{
|
95 |
"epoch": 6.36,
|
96 |
-
"learning_rate":
|
97 |
-
"loss": 0.
|
98 |
"step": 2500
|
99 |
},
|
100 |
{
|
101 |
"epoch": 7.0,
|
102 |
-
"eval_bleu": 0.
|
103 |
"eval_gen_len": 19.0,
|
104 |
-
"eval_loss": 0.
|
105 |
-
"eval_runtime":
|
106 |
-
"eval_samples_per_second":
|
107 |
-
"eval_steps_per_second": 1.
|
108 |
"step": 2751
|
109 |
},
|
110 |
{
|
111 |
"epoch": 7.63,
|
112 |
-
"learning_rate":
|
113 |
-
"loss": 0.
|
114 |
"step": 3000
|
115 |
},
|
116 |
{
|
117 |
"epoch": 8.0,
|
118 |
-
"eval_bleu": 0.
|
119 |
"eval_gen_len": 19.0,
|
120 |
-
"eval_loss": 0.
|
121 |
-
"eval_runtime":
|
122 |
-
"eval_samples_per_second":
|
123 |
-
"eval_steps_per_second": 1.
|
124 |
"step": 3144
|
125 |
},
|
126 |
{
|
127 |
"epoch": 8.91,
|
128 |
-
"learning_rate":
|
129 |
-
"loss": 0.
|
130 |
"step": 3500
|
131 |
},
|
132 |
{
|
133 |
"epoch": 9.0,
|
134 |
-
"eval_bleu": 0.
|
135 |
"eval_gen_len": 19.0,
|
136 |
-
"eval_loss": 0.
|
137 |
-
"eval_runtime":
|
138 |
-
"eval_samples_per_second":
|
139 |
-
"eval_steps_per_second": 1.
|
140 |
"step": 3537
|
141 |
},
|
142 |
{
|
143 |
"epoch": 10.0,
|
144 |
-
"eval_bleu": 0.
|
145 |
"eval_gen_len": 19.0,
|
146 |
-
"eval_loss": 0.
|
147 |
-
"eval_runtime":
|
148 |
-
"eval_samples_per_second":
|
149 |
-
"eval_steps_per_second": 1.
|
150 |
"step": 3930
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 10.
|
154 |
-
"
|
155 |
-
"
|
156 |
-
"
|
157 |
-
|
158 |
-
|
159 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
160 |
}
|
161 |
],
|
162 |
-
"max_steps":
|
163 |
-
"num_train_epochs":
|
164 |
-
"total_flos": 2.232877359218688e+
|
165 |
"trial_name": null,
|
166 |
"trial_params": null
|
167 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 100.0,
|
5 |
+
"global_step": 39300,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.0,
|
12 |
+
"eval_bleu": 0.0473,
|
13 |
"eval_gen_len": 19.0,
|
14 |
+
"eval_loss": 1.034566044807434,
|
15 |
+
"eval_runtime": 35.414,
|
16 |
+
"eval_samples_per_second": 22.166,
|
17 |
+
"eval_steps_per_second": 1.412,
|
18 |
"step": 393
|
19 |
},
|
20 |
{
|
21 |
"epoch": 1.27,
|
22 |
+
"learning_rate": 4.936386768447838e-05,
|
23 |
+
"loss": 1.5209,
|
24 |
"step": 500
|
25 |
},
|
26 |
{
|
27 |
"epoch": 2.0,
|
28 |
+
"eval_bleu": 0.1413,
|
29 |
"eval_gen_len": 19.0,
|
30 |
+
"eval_loss": 0.8939195275306702,
|
31 |
+
"eval_runtime": 35.4148,
|
32 |
+
"eval_samples_per_second": 22.166,
|
33 |
+
"eval_steps_per_second": 1.412,
|
34 |
"step": 786
|
35 |
},
|
36 |
{
|
37 |
"epoch": 2.54,
|
38 |
+
"learning_rate": 4.8727735368956744e-05,
|
39 |
+
"loss": 1.0258,
|
40 |
"step": 1000
|
41 |
},
|
42 |
{
|
43 |
"epoch": 3.0,
|
44 |
+
"eval_bleu": 0.1641,
|
45 |
"eval_gen_len": 19.0,
|
46 |
+
"eval_loss": 0.8333808779716492,
|
47 |
+
"eval_runtime": 35.2354,
|
48 |
+
"eval_samples_per_second": 22.279,
|
49 |
+
"eval_steps_per_second": 1.419,
|
50 |
"step": 1179
|
51 |
},
|
52 |
{
|
53 |
"epoch": 3.82,
|
54 |
+
"learning_rate": 4.809160305343512e-05,
|
55 |
+
"loss": 0.9177,
|
56 |
"step": 1500
|
57 |
},
|
58 |
{
|
59 |
"epoch": 4.0,
|
60 |
+
"eval_bleu": 0.1729,
|
61 |
"eval_gen_len": 19.0,
|
62 |
+
"eval_loss": 0.7867220044136047,
|
63 |
+
"eval_runtime": 35.207,
|
64 |
+
"eval_samples_per_second": 22.297,
|
65 |
+
"eval_steps_per_second": 1.42,
|
66 |
"step": 1572
|
67 |
},
|
68 |
{
|
69 |
"epoch": 5.0,
|
70 |
+
"eval_bleu": 0.1742,
|
71 |
"eval_gen_len": 19.0,
|
72 |
+
"eval_loss": 0.7542837858200073,
|
73 |
+
"eval_runtime": 35.3809,
|
74 |
+
"eval_samples_per_second": 22.187,
|
75 |
+
"eval_steps_per_second": 1.413,
|
76 |
"step": 1965
|
77 |
},
|
78 |
{
|
79 |
"epoch": 5.09,
|
80 |
+
"learning_rate": 4.7455470737913485e-05,
|
81 |
+
"loss": 0.8482,
|
82 |
"step": 2000
|
83 |
},
|
84 |
{
|
85 |
"epoch": 6.0,
|
86 |
+
"eval_bleu": 0.1692,
|
87 |
"eval_gen_len": 19.0,
|
88 |
+
"eval_loss": 0.7316721677780151,
|
89 |
+
"eval_runtime": 35.4956,
|
90 |
+
"eval_samples_per_second": 22.115,
|
91 |
+
"eval_steps_per_second": 1.409,
|
92 |
"step": 2358
|
93 |
},
|
94 |
{
|
95 |
"epoch": 6.36,
|
96 |
+
"learning_rate": 4.681933842239186e-05,
|
97 |
+
"loss": 0.7957,
|
98 |
"step": 2500
|
99 |
},
|
100 |
{
|
101 |
"epoch": 7.0,
|
102 |
+
"eval_bleu": 0.1742,
|
103 |
"eval_gen_len": 19.0,
|
104 |
+
"eval_loss": 0.7106090188026428,
|
105 |
+
"eval_runtime": 35.1034,
|
106 |
+
"eval_samples_per_second": 22.362,
|
107 |
+
"eval_steps_per_second": 1.424,
|
108 |
"step": 2751
|
109 |
},
|
110 |
{
|
111 |
"epoch": 7.63,
|
112 |
+
"learning_rate": 4.618320610687023e-05,
|
113 |
+
"loss": 0.7557,
|
114 |
"step": 3000
|
115 |
},
|
116 |
{
|
117 |
"epoch": 8.0,
|
118 |
+
"eval_bleu": 0.216,
|
119 |
"eval_gen_len": 19.0,
|
120 |
+
"eval_loss": 0.6849327087402344,
|
121 |
+
"eval_runtime": 35.4066,
|
122 |
+
"eval_samples_per_second": 22.171,
|
123 |
+
"eval_steps_per_second": 1.412,
|
124 |
"step": 3144
|
125 |
},
|
126 |
{
|
127 |
"epoch": 8.91,
|
128 |
+
"learning_rate": 4.5547073791348604e-05,
|
129 |
+
"loss": 0.7204,
|
130 |
"step": 3500
|
131 |
},
|
132 |
{
|
133 |
"epoch": 9.0,
|
134 |
+
"eval_bleu": 0.189,
|
135 |
"eval_gen_len": 19.0,
|
136 |
+
"eval_loss": 0.6731250882148743,
|
137 |
+
"eval_runtime": 35.3153,
|
138 |
+
"eval_samples_per_second": 22.228,
|
139 |
+
"eval_steps_per_second": 1.416,
|
140 |
"step": 3537
|
141 |
},
|
142 |
{
|
143 |
"epoch": 10.0,
|
144 |
+
"eval_bleu": 0.2063,
|
145 |
"eval_gen_len": 19.0,
|
146 |
+
"eval_loss": 0.6562144160270691,
|
147 |
+
"eval_runtime": 35.358,
|
148 |
+
"eval_samples_per_second": 22.201,
|
149 |
+
"eval_steps_per_second": 1.414,
|
150 |
"step": 3930
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 10.18,
|
154 |
+
"learning_rate": 4.4910941475826975e-05,
|
155 |
+
"loss": 0.6901,
|
156 |
+
"step": 4000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 11.0,
|
160 |
+
"eval_bleu": 0.2025,
|
161 |
+
"eval_gen_len": 19.0,
|
162 |
+
"eval_loss": 0.6510306596755981,
|
163 |
+
"eval_runtime": 35.1746,
|
164 |
+
"eval_samples_per_second": 22.317,
|
165 |
+
"eval_steps_per_second": 1.421,
|
166 |
+
"step": 4323
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 11.45,
|
170 |
+
"learning_rate": 4.4274809160305345e-05,
|
171 |
+
"loss": 0.6635,
|
172 |
+
"step": 4500
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 12.0,
|
176 |
+
"eval_bleu": 0.2266,
|
177 |
+
"eval_gen_len": 19.0,
|
178 |
+
"eval_loss": 0.6423279047012329,
|
179 |
+
"eval_runtime": 34.9781,
|
180 |
+
"eval_samples_per_second": 22.443,
|
181 |
+
"eval_steps_per_second": 1.429,
|
182 |
+
"step": 4716
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 12.72,
|
186 |
+
"learning_rate": 4.3638676844783716e-05,
|
187 |
+
"loss": 0.6346,
|
188 |
+
"step": 5000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 13.0,
|
192 |
+
"eval_bleu": 0.2229,
|
193 |
+
"eval_gen_len": 19.0,
|
194 |
+
"eval_loss": 0.6330356597900391,
|
195 |
+
"eval_runtime": 35.0795,
|
196 |
+
"eval_samples_per_second": 22.378,
|
197 |
+
"eval_steps_per_second": 1.425,
|
198 |
+
"step": 5109
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 13.99,
|
202 |
+
"learning_rate": 4.300254452926209e-05,
|
203 |
+
"loss": 0.6132,
|
204 |
+
"step": 5500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 14.0,
|
208 |
+
"eval_bleu": 0.2195,
|
209 |
+
"eval_gen_len": 19.0,
|
210 |
+
"eval_loss": 0.6257367134094238,
|
211 |
+
"eval_runtime": 34.9799,
|
212 |
+
"eval_samples_per_second": 22.441,
|
213 |
+
"eval_steps_per_second": 1.429,
|
214 |
+
"step": 5502
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 15.0,
|
218 |
+
"eval_bleu": 0.2344,
|
219 |
+
"eval_gen_len": 19.0,
|
220 |
+
"eval_loss": 0.6191786527633667,
|
221 |
+
"eval_runtime": 35.2808,
|
222 |
+
"eval_samples_per_second": 22.25,
|
223 |
+
"eval_steps_per_second": 1.417,
|
224 |
+
"step": 5895
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 15.27,
|
228 |
+
"learning_rate": 4.236641221374046e-05,
|
229 |
+
"loss": 0.5885,
|
230 |
+
"step": 6000
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 16.0,
|
234 |
+
"eval_bleu": 0.2424,
|
235 |
+
"eval_gen_len": 19.0,
|
236 |
+
"eval_loss": 0.6103959083557129,
|
237 |
+
"eval_runtime": 35.1057,
|
238 |
+
"eval_samples_per_second": 22.361,
|
239 |
+
"eval_steps_per_second": 1.424,
|
240 |
+
"step": 6288
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 16.54,
|
244 |
+
"learning_rate": 4.1730279898218835e-05,
|
245 |
+
"loss": 0.5682,
|
246 |
+
"step": 6500
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 17.0,
|
250 |
+
"eval_bleu": 0.2536,
|
251 |
+
"eval_gen_len": 19.0,
|
252 |
+
"eval_loss": 0.6047710180282593,
|
253 |
+
"eval_runtime": 35.079,
|
254 |
+
"eval_samples_per_second": 22.378,
|
255 |
+
"eval_steps_per_second": 1.425,
|
256 |
+
"step": 6681
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 17.81,
|
260 |
+
"learning_rate": 4.10941475826972e-05,
|
261 |
+
"loss": 0.5452,
|
262 |
+
"step": 7000
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 18.0,
|
266 |
+
"eval_bleu": 0.2541,
|
267 |
+
"eval_gen_len": 19.0,
|
268 |
+
"eval_loss": 0.6057348847389221,
|
269 |
+
"eval_runtime": 35.3873,
|
270 |
+
"eval_samples_per_second": 22.183,
|
271 |
+
"eval_steps_per_second": 1.413,
|
272 |
+
"step": 7074
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 19.0,
|
276 |
+
"eval_bleu": 0.2526,
|
277 |
+
"eval_gen_len": 19.0,
|
278 |
+
"eval_loss": 0.6047215461730957,
|
279 |
+
"eval_runtime": 35.004,
|
280 |
+
"eval_samples_per_second": 22.426,
|
281 |
+
"eval_steps_per_second": 1.428,
|
282 |
+
"step": 7467
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 19.08,
|
286 |
+
"learning_rate": 4.0458015267175576e-05,
|
287 |
+
"loss": 0.5294,
|
288 |
+
"step": 7500
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 20.0,
|
292 |
+
"eval_bleu": 0.2644,
|
293 |
+
"eval_gen_len": 19.0,
|
294 |
+
"eval_loss": 0.6065888404846191,
|
295 |
+
"eval_runtime": 35.2375,
|
296 |
+
"eval_samples_per_second": 22.277,
|
297 |
+
"eval_steps_per_second": 1.419,
|
298 |
+
"step": 7860
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 20.36,
|
302 |
+
"learning_rate": 3.982188295165395e-05,
|
303 |
+
"loss": 0.5072,
|
304 |
+
"step": 8000
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 21.0,
|
308 |
+
"eval_bleu": 0.2666,
|
309 |
+
"eval_gen_len": 19.0,
|
310 |
+
"eval_loss": 0.6080436706542969,
|
311 |
+
"eval_runtime": 35.085,
|
312 |
+
"eval_samples_per_second": 22.374,
|
313 |
+
"eval_steps_per_second": 1.425,
|
314 |
+
"step": 8253
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 21.63,
|
318 |
+
"learning_rate": 3.918575063613232e-05,
|
319 |
+
"loss": 0.4921,
|
320 |
+
"step": 8500
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 22.0,
|
324 |
+
"eval_bleu": 0.2499,
|
325 |
+
"eval_gen_len": 19.0,
|
326 |
+
"eval_loss": 0.6091626882553101,
|
327 |
+
"eval_runtime": 35.0913,
|
328 |
+
"eval_samples_per_second": 22.37,
|
329 |
+
"eval_steps_per_second": 1.425,
|
330 |
+
"step": 8646
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 22.9,
|
334 |
+
"learning_rate": 3.854961832061069e-05,
|
335 |
+
"loss": 0.4753,
|
336 |
+
"step": 9000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 23.0,
|
340 |
+
"eval_bleu": 0.2719,
|
341 |
+
"eval_gen_len": 19.0,
|
342 |
+
"eval_loss": 0.6132063269615173,
|
343 |
+
"eval_runtime": 35.0981,
|
344 |
+
"eval_samples_per_second": 22.366,
|
345 |
+
"eval_steps_per_second": 1.425,
|
346 |
+
"step": 9039
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 24.0,
|
350 |
+
"eval_bleu": 0.2724,
|
351 |
+
"eval_gen_len": 19.0,
|
352 |
+
"eval_loss": 0.6088494658470154,
|
353 |
+
"eval_runtime": 35.1025,
|
354 |
+
"eval_samples_per_second": 22.363,
|
355 |
+
"eval_steps_per_second": 1.424,
|
356 |
+
"step": 9432
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 24.17,
|
360 |
+
"learning_rate": 3.791348600508906e-05,
|
361 |
+
"loss": 0.4597,
|
362 |
+
"step": 9500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 25.0,
|
366 |
+
"eval_bleu": 0.2683,
|
367 |
+
"eval_gen_len": 19.0,
|
368 |
+
"eval_loss": 0.6127578020095825,
|
369 |
+
"eval_runtime": 35.0847,
|
370 |
+
"eval_samples_per_second": 22.374,
|
371 |
+
"eval_steps_per_second": 1.425,
|
372 |
+
"step": 9825
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 25.45,
|
376 |
+
"learning_rate": 3.727735368956743e-05,
|
377 |
+
"loss": 0.4443,
|
378 |
+
"step": 10000
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 26.0,
|
382 |
+
"eval_bleu": 0.2856,
|
383 |
+
"eval_gen_len": 19.0,
|
384 |
+
"eval_loss": 0.6183450818061829,
|
385 |
+
"eval_runtime": 35.0496,
|
386 |
+
"eval_samples_per_second": 22.397,
|
387 |
+
"eval_steps_per_second": 1.427,
|
388 |
+
"step": 10218
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 26.72,
|
392 |
+
"learning_rate": 3.66412213740458e-05,
|
393 |
+
"loss": 0.4301,
|
394 |
+
"step": 10500
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 27.0,
|
398 |
+
"eval_bleu": 0.3006,
|
399 |
+
"eval_gen_len": 19.0,
|
400 |
+
"eval_loss": 0.6246443390846252,
|
401 |
+
"eval_runtime": 35.1774,
|
402 |
+
"eval_samples_per_second": 22.315,
|
403 |
+
"eval_steps_per_second": 1.421,
|
404 |
+
"step": 10611
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 27.99,
|
408 |
+
"learning_rate": 3.600508905852418e-05,
|
409 |
+
"loss": 0.418,
|
410 |
+
"step": 11000
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 28.0,
|
414 |
+
"eval_bleu": 0.2788,
|
415 |
+
"eval_gen_len": 19.0,
|
416 |
+
"eval_loss": 0.6312348246574402,
|
417 |
+
"eval_runtime": 35.3395,
|
418 |
+
"eval_samples_per_second": 22.213,
|
419 |
+
"eval_steps_per_second": 1.415,
|
420 |
+
"step": 11004
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 29.0,
|
424 |
+
"eval_bleu": 0.2843,
|
425 |
+
"eval_gen_len": 19.0,
|
426 |
+
"eval_loss": 0.6295350790023804,
|
427 |
+
"eval_runtime": 35.2861,
|
428 |
+
"eval_samples_per_second": 22.247,
|
429 |
+
"eval_steps_per_second": 1.417,
|
430 |
+
"step": 11397
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 29.26,
|
434 |
+
"learning_rate": 3.536895674300255e-05,
|
435 |
+
"loss": 0.4002,
|
436 |
+
"step": 11500
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 30.0,
|
440 |
+
"eval_bleu": 0.2982,
|
441 |
+
"eval_gen_len": 19.0,
|
442 |
+
"eval_loss": 0.6349673271179199,
|
443 |
+
"eval_runtime": 35.0212,
|
444 |
+
"eval_samples_per_second": 22.415,
|
445 |
+
"eval_steps_per_second": 1.428,
|
446 |
+
"step": 11790
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 30.53,
|
450 |
+
"learning_rate": 3.473282442748092e-05,
|
451 |
+
"loss": 0.3913,
|
452 |
+
"step": 12000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 31.0,
|
456 |
+
"eval_bleu": 0.2822,
|
457 |
+
"eval_gen_len": 19.0,
|
458 |
+
"eval_loss": 0.6441249847412109,
|
459 |
+
"eval_runtime": 35.0154,
|
460 |
+
"eval_samples_per_second": 22.419,
|
461 |
+
"eval_steps_per_second": 1.428,
|
462 |
+
"step": 12183
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 31.81,
|
466 |
+
"learning_rate": 3.409669211195929e-05,
|
467 |
+
"loss": 0.3755,
|
468 |
+
"step": 12500
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 32.0,
|
472 |
+
"eval_bleu": 0.3215,
|
473 |
+
"eval_gen_len": 19.0,
|
474 |
+
"eval_loss": 0.6430069804191589,
|
475 |
+
"eval_runtime": 35.1225,
|
476 |
+
"eval_samples_per_second": 22.35,
|
477 |
+
"eval_steps_per_second": 1.424,
|
478 |
+
"step": 12576
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 33.0,
|
482 |
+
"eval_bleu": 0.3024,
|
483 |
+
"eval_gen_len": 19.0,
|
484 |
+
"eval_loss": 0.6485504508018494,
|
485 |
+
"eval_runtime": 35.0519,
|
486 |
+
"eval_samples_per_second": 22.395,
|
487 |
+
"eval_steps_per_second": 1.426,
|
488 |
+
"step": 12969
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 33.08,
|
492 |
+
"learning_rate": 3.346055979643766e-05,
|
493 |
+
"loss": 0.3673,
|
494 |
+
"step": 13000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 34.0,
|
498 |
+
"eval_bleu": 0.2985,
|
499 |
+
"eval_gen_len": 19.0,
|
500 |
+
"eval_loss": 0.6527048945426941,
|
501 |
+
"eval_runtime": 34.9946,
|
502 |
+
"eval_samples_per_second": 22.432,
|
503 |
+
"eval_steps_per_second": 1.429,
|
504 |
+
"step": 13362
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 34.35,
|
508 |
+
"learning_rate": 3.282442748091603e-05,
|
509 |
+
"loss": 0.352,
|
510 |
+
"step": 13500
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 35.0,
|
514 |
+
"eval_bleu": 0.31,
|
515 |
+
"eval_gen_len": 19.0,
|
516 |
+
"eval_loss": 0.6660041213035583,
|
517 |
+
"eval_runtime": 34.9679,
|
518 |
+
"eval_samples_per_second": 22.449,
|
519 |
+
"eval_steps_per_second": 1.43,
|
520 |
+
"step": 13755
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 35.62,
|
524 |
+
"learning_rate": 3.21882951653944e-05,
|
525 |
+
"loss": 0.3408,
|
526 |
+
"step": 14000
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 36.0,
|
530 |
+
"eval_bleu": 0.288,
|
531 |
+
"eval_gen_len": 19.0,
|
532 |
+
"eval_loss": 0.6737257838249207,
|
533 |
+
"eval_runtime": 35.0785,
|
534 |
+
"eval_samples_per_second": 22.378,
|
535 |
+
"eval_steps_per_second": 1.425,
|
536 |
+
"step": 14148
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 36.9,
|
540 |
+
"learning_rate": 3.155216284987277e-05,
|
541 |
+
"loss": 0.3307,
|
542 |
+
"step": 14500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 37.0,
|
546 |
+
"eval_bleu": 0.2995,
|
547 |
+
"eval_gen_len": 19.0,
|
548 |
+
"eval_loss": 0.6772977113723755,
|
549 |
+
"eval_runtime": 35.0227,
|
550 |
+
"eval_samples_per_second": 22.414,
|
551 |
+
"eval_steps_per_second": 1.428,
|
552 |
+
"step": 14541
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 38.0,
|
556 |
+
"eval_bleu": 0.29,
|
557 |
+
"eval_gen_len": 19.0,
|
558 |
+
"eval_loss": 0.6903324723243713,
|
559 |
+
"eval_runtime": 35.1225,
|
560 |
+
"eval_samples_per_second": 22.35,
|
561 |
+
"eval_steps_per_second": 1.424,
|
562 |
+
"step": 14934
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 38.17,
|
566 |
+
"learning_rate": 3.091603053435115e-05,
|
567 |
+
"loss": 0.3182,
|
568 |
+
"step": 15000
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 39.0,
|
572 |
+
"eval_bleu": 0.2848,
|
573 |
+
"eval_gen_len": 19.0,
|
574 |
+
"eval_loss": 0.7059388160705566,
|
575 |
+
"eval_runtime": 34.9533,
|
576 |
+
"eval_samples_per_second": 22.459,
|
577 |
+
"eval_steps_per_second": 1.43,
|
578 |
+
"step": 15327
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 39.44,
|
582 |
+
"learning_rate": 3.0279898218829518e-05,
|
583 |
+
"loss": 0.3077,
|
584 |
+
"step": 15500
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 40.0,
|
588 |
+
"eval_bleu": 0.2878,
|
589 |
+
"eval_gen_len": 19.0,
|
590 |
+
"eval_loss": 0.6985650658607483,
|
591 |
+
"eval_runtime": 35.0758,
|
592 |
+
"eval_samples_per_second": 22.38,
|
593 |
+
"eval_steps_per_second": 1.425,
|
594 |
+
"step": 15720
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 40.71,
|
598 |
+
"learning_rate": 2.9643765903307892e-05,
|
599 |
+
"loss": 0.298,
|
600 |
+
"step": 16000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 41.0,
|
604 |
+
"eval_bleu": 0.2859,
|
605 |
+
"eval_gen_len": 19.0,
|
606 |
+
"eval_loss": 0.7053300142288208,
|
607 |
+
"eval_runtime": 35.1562,
|
608 |
+
"eval_samples_per_second": 22.329,
|
609 |
+
"eval_steps_per_second": 1.422,
|
610 |
+
"step": 16113
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 41.98,
|
614 |
+
"learning_rate": 2.900763358778626e-05,
|
615 |
+
"loss": 0.29,
|
616 |
+
"step": 16500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 42.0,
|
620 |
+
"eval_bleu": 0.2871,
|
621 |
+
"eval_gen_len": 19.0,
|
622 |
+
"eval_loss": 0.719767689704895,
|
623 |
+
"eval_runtime": 35.1382,
|
624 |
+
"eval_samples_per_second": 22.34,
|
625 |
+
"eval_steps_per_second": 1.423,
|
626 |
+
"step": 16506
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 43.0,
|
630 |
+
"eval_bleu": 0.2813,
|
631 |
+
"eval_gen_len": 19.0,
|
632 |
+
"eval_loss": 0.7274527549743652,
|
633 |
+
"eval_runtime": 35.0854,
|
634 |
+
"eval_samples_per_second": 22.374,
|
635 |
+
"eval_steps_per_second": 1.425,
|
636 |
+
"step": 16899
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 43.26,
|
640 |
+
"learning_rate": 2.8371501272264633e-05,
|
641 |
+
"loss": 0.2787,
|
642 |
+
"step": 17000
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 44.0,
|
646 |
+
"eval_bleu": 0.2972,
|
647 |
+
"eval_gen_len": 19.0,
|
648 |
+
"eval_loss": 0.7369562983512878,
|
649 |
+
"eval_runtime": 35.1464,
|
650 |
+
"eval_samples_per_second": 22.335,
|
651 |
+
"eval_steps_per_second": 1.423,
|
652 |
+
"step": 17292
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 44.53,
|
656 |
+
"learning_rate": 2.7735368956743e-05,
|
657 |
+
"loss": 0.268,
|
658 |
+
"step": 17500
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 45.0,
|
662 |
+
"eval_bleu": 0.26,
|
663 |
+
"eval_gen_len": 19.0,
|
664 |
+
"eval_loss": 0.7426473498344421,
|
665 |
+
"eval_runtime": 35.1116,
|
666 |
+
"eval_samples_per_second": 22.357,
|
667 |
+
"eval_steps_per_second": 1.424,
|
668 |
+
"step": 17685
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 45.8,
|
672 |
+
"learning_rate": 2.7099236641221375e-05,
|
673 |
+
"loss": 0.2638,
|
674 |
+
"step": 18000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 46.0,
|
678 |
+
"eval_bleu": 0.2846,
|
679 |
+
"eval_gen_len": 19.0,
|
680 |
+
"eval_loss": 0.7529018521308899,
|
681 |
+
"eval_runtime": 35.1433,
|
682 |
+
"eval_samples_per_second": 22.337,
|
683 |
+
"eval_steps_per_second": 1.423,
|
684 |
+
"step": 18078
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 47.0,
|
688 |
+
"eval_bleu": 0.2898,
|
689 |
+
"eval_gen_len": 19.0,
|
690 |
+
"eval_loss": 0.7602871060371399,
|
691 |
+
"eval_runtime": 35.1079,
|
692 |
+
"eval_samples_per_second": 22.36,
|
693 |
+
"eval_steps_per_second": 1.424,
|
694 |
+
"step": 18471
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 47.07,
|
698 |
+
"learning_rate": 2.6463104325699745e-05,
|
699 |
+
"loss": 0.253,
|
700 |
+
"step": 18500
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 48.0,
|
704 |
+
"eval_bleu": 0.277,
|
705 |
+
"eval_gen_len": 19.0,
|
706 |
+
"eval_loss": 0.7711123824119568,
|
707 |
+
"eval_runtime": 35.1881,
|
708 |
+
"eval_samples_per_second": 22.309,
|
709 |
+
"eval_steps_per_second": 1.421,
|
710 |
+
"step": 18864
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 48.35,
|
714 |
+
"learning_rate": 2.582697201017812e-05,
|
715 |
+
"loss": 0.244,
|
716 |
+
"step": 19000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 49.0,
|
720 |
+
"eval_bleu": 0.3005,
|
721 |
+
"eval_gen_len": 19.0,
|
722 |
+
"eval_loss": 0.7778590321540833,
|
723 |
+
"eval_runtime": 35.1873,
|
724 |
+
"eval_samples_per_second": 22.309,
|
725 |
+
"eval_steps_per_second": 1.421,
|
726 |
+
"step": 19257
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 49.62,
|
730 |
+
"learning_rate": 2.5190839694656487e-05,
|
731 |
+
"loss": 0.2368,
|
732 |
+
"step": 19500
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 50.0,
|
736 |
+
"eval_bleu": 0.2931,
|
737 |
+
"eval_gen_len": 19.0,
|
738 |
+
"eval_loss": 0.7815132737159729,
|
739 |
+
"eval_runtime": 35.108,
|
740 |
+
"eval_samples_per_second": 22.36,
|
741 |
+
"eval_steps_per_second": 1.424,
|
742 |
+
"step": 19650
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 50.89,
|
746 |
+
"learning_rate": 2.455470737913486e-05,
|
747 |
+
"loss": 0.2301,
|
748 |
+
"step": 20000
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 51.0,
|
752 |
+
"eval_bleu": 0.2998,
|
753 |
+
"eval_gen_len": 19.0,
|
754 |
+
"eval_loss": 0.8020169734954834,
|
755 |
+
"eval_runtime": 35.1735,
|
756 |
+
"eval_samples_per_second": 22.318,
|
757 |
+
"eval_steps_per_second": 1.422,
|
758 |
+
"step": 20043
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 52.0,
|
762 |
+
"eval_bleu": 0.2806,
|
763 |
+
"eval_gen_len": 19.0,
|
764 |
+
"eval_loss": 0.8051058053970337,
|
765 |
+
"eval_runtime": 35.0481,
|
766 |
+
"eval_samples_per_second": 22.398,
|
767 |
+
"eval_steps_per_second": 1.427,
|
768 |
+
"step": 20436
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 52.16,
|
772 |
+
"learning_rate": 2.391857506361323e-05,
|
773 |
+
"loss": 0.2217,
|
774 |
+
"step": 20500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 53.0,
|
778 |
+
"eval_bleu": 0.294,
|
779 |
+
"eval_gen_len": 19.0,
|
780 |
+
"eval_loss": 0.811935544013977,
|
781 |
+
"eval_runtime": 35.104,
|
782 |
+
"eval_samples_per_second": 22.362,
|
783 |
+
"eval_steps_per_second": 1.424,
|
784 |
+
"step": 20829
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 53.44,
|
788 |
+
"learning_rate": 2.3282442748091605e-05,
|
789 |
+
"loss": 0.2158,
|
790 |
+
"step": 21000
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 54.0,
|
794 |
+
"eval_bleu": 0.2921,
|
795 |
+
"eval_gen_len": 19.0,
|
796 |
+
"eval_loss": 0.8288211226463318,
|
797 |
+
"eval_runtime": 35.1084,
|
798 |
+
"eval_samples_per_second": 22.359,
|
799 |
+
"eval_steps_per_second": 1.424,
|
800 |
+
"step": 21222
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 54.71,
|
804 |
+
"learning_rate": 2.2646310432569976e-05,
|
805 |
+
"loss": 0.2079,
|
806 |
+
"step": 21500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 55.0,
|
810 |
+
"eval_bleu": 0.2954,
|
811 |
+
"eval_gen_len": 19.0,
|
812 |
+
"eval_loss": 0.8340888619422913,
|
813 |
+
"eval_runtime": 35.1775,
|
814 |
+
"eval_samples_per_second": 22.315,
|
815 |
+
"eval_steps_per_second": 1.421,
|
816 |
+
"step": 21615
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 55.98,
|
820 |
+
"learning_rate": 2.2010178117048347e-05,
|
821 |
+
"loss": 0.2027,
|
822 |
+
"step": 22000
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 56.0,
|
826 |
+
"eval_bleu": 0.2884,
|
827 |
+
"eval_gen_len": 19.0,
|
828 |
+
"eval_loss": 0.8364927768707275,
|
829 |
+
"eval_runtime": 35.072,
|
830 |
+
"eval_samples_per_second": 22.383,
|
831 |
+
"eval_steps_per_second": 1.426,
|
832 |
+
"step": 22008
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 57.0,
|
836 |
+
"eval_bleu": 0.2995,
|
837 |
+
"eval_gen_len": 19.0,
|
838 |
+
"eval_loss": 0.8441442251205444,
|
839 |
+
"eval_runtime": 35.1154,
|
840 |
+
"eval_samples_per_second": 22.355,
|
841 |
+
"eval_steps_per_second": 1.424,
|
842 |
+
"step": 22401
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 57.25,
|
846 |
+
"learning_rate": 2.1374045801526718e-05,
|
847 |
+
"loss": 0.1954,
|
848 |
+
"step": 22500
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 58.0,
|
852 |
+
"eval_bleu": 0.3115,
|
853 |
+
"eval_gen_len": 19.0,
|
854 |
+
"eval_loss": 0.8488335609436035,
|
855 |
+
"eval_runtime": 34.9312,
|
856 |
+
"eval_samples_per_second": 22.473,
|
857 |
+
"eval_steps_per_second": 1.431,
|
858 |
+
"step": 22794
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 58.52,
|
862 |
+
"learning_rate": 2.0737913486005088e-05,
|
863 |
+
"loss": 0.1918,
|
864 |
+
"step": 23000
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 59.0,
|
868 |
+
"eval_bleu": 0.3085,
|
869 |
+
"eval_gen_len": 19.0,
|
870 |
+
"eval_loss": 0.8709967732429504,
|
871 |
+
"eval_runtime": 35.0738,
|
872 |
+
"eval_samples_per_second": 22.381,
|
873 |
+
"eval_steps_per_second": 1.426,
|
874 |
+
"step": 23187
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 59.8,
|
878 |
+
"learning_rate": 2.0101781170483462e-05,
|
879 |
+
"loss": 0.1857,
|
880 |
+
"step": 23500
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 60.0,
|
884 |
+
"eval_bleu": 0.2932,
|
885 |
+
"eval_gen_len": 19.0,
|
886 |
+
"eval_loss": 0.8718471527099609,
|
887 |
+
"eval_runtime": 35.1809,
|
888 |
+
"eval_samples_per_second": 22.313,
|
889 |
+
"eval_steps_per_second": 1.421,
|
890 |
+
"step": 23580
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 61.0,
|
894 |
+
"eval_bleu": 0.2923,
|
895 |
+
"eval_gen_len": 19.0,
|
896 |
+
"eval_loss": 0.8777070045471191,
|
897 |
+
"eval_runtime": 35.0923,
|
898 |
+
"eval_samples_per_second": 22.37,
|
899 |
+
"eval_steps_per_second": 1.425,
|
900 |
+
"step": 23973
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 61.07,
|
904 |
+
"learning_rate": 1.9465648854961833e-05,
|
905 |
+
"loss": 0.1796,
|
906 |
+
"step": 24000
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 62.0,
|
910 |
+
"eval_bleu": 0.3038,
|
911 |
+
"eval_gen_len": 19.0,
|
912 |
+
"eval_loss": 0.8831952214241028,
|
913 |
+
"eval_runtime": 35.1476,
|
914 |
+
"eval_samples_per_second": 22.334,
|
915 |
+
"eval_steps_per_second": 1.423,
|
916 |
+
"step": 24366
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 62.34,
|
920 |
+
"learning_rate": 1.8829516539440204e-05,
|
921 |
+
"loss": 0.1753,
|
922 |
+
"step": 24500
|
923 |
+
},
|
924 |
+
{
|
925 |
+
"epoch": 63.0,
|
926 |
+
"eval_bleu": 0.3063,
|
927 |
+
"eval_gen_len": 19.0,
|
928 |
+
"eval_loss": 0.8996883630752563,
|
929 |
+
"eval_runtime": 35.1466,
|
930 |
+
"eval_samples_per_second": 22.335,
|
931 |
+
"eval_steps_per_second": 1.423,
|
932 |
+
"step": 24759
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 63.61,
|
936 |
+
"learning_rate": 1.8193384223918574e-05,
|
937 |
+
"loss": 0.1703,
|
938 |
+
"step": 25000
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 64.0,
|
942 |
+
"eval_bleu": 0.3047,
|
943 |
+
"eval_gen_len": 19.0,
|
944 |
+
"eval_loss": 0.9198061227798462,
|
945 |
+
"eval_runtime": 35.8655,
|
946 |
+
"eval_samples_per_second": 21.887,
|
947 |
+
"eval_steps_per_second": 1.394,
|
948 |
+
"step": 25152
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 64.89,
|
952 |
+
"learning_rate": 1.7557251908396945e-05,
|
953 |
+
"loss": 0.1661,
|
954 |
+
"step": 25500
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 65.0,
|
958 |
+
"eval_bleu": 0.3159,
|
959 |
+
"eval_gen_len": 19.0,
|
960 |
+
"eval_loss": 0.9193503856658936,
|
961 |
+
"eval_runtime": 35.1603,
|
962 |
+
"eval_samples_per_second": 22.326,
|
963 |
+
"eval_steps_per_second": 1.422,
|
964 |
+
"step": 25545
|
965 |
+
},
|
966 |
+
{
|
967 |
+
"epoch": 66.0,
|
968 |
+
"eval_bleu": 0.2962,
|
969 |
+
"eval_gen_len": 19.0,
|
970 |
+
"eval_loss": 0.9242938756942749,
|
971 |
+
"eval_runtime": 35.073,
|
972 |
+
"eval_samples_per_second": 22.382,
|
973 |
+
"eval_steps_per_second": 1.426,
|
974 |
+
"step": 25938
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 66.16,
|
978 |
+
"learning_rate": 1.692111959287532e-05,
|
979 |
+
"loss": 0.1606,
|
980 |
+
"step": 26000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 67.0,
|
984 |
+
"eval_bleu": 0.3065,
|
985 |
+
"eval_gen_len": 19.0,
|
986 |
+
"eval_loss": 0.9375536441802979,
|
987 |
+
"eval_runtime": 34.9169,
|
988 |
+
"eval_samples_per_second": 22.482,
|
989 |
+
"eval_steps_per_second": 1.432,
|
990 |
+
"step": 26331
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 67.43,
|
994 |
+
"learning_rate": 1.628498727735369e-05,
|
995 |
+
"loss": 0.1582,
|
996 |
+
"step": 26500
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 68.0,
|
1000 |
+
"eval_bleu": 0.3002,
|
1001 |
+
"eval_gen_len": 19.0,
|
1002 |
+
"eval_loss": 0.9338624477386475,
|
1003 |
+
"eval_runtime": 35.1084,
|
1004 |
+
"eval_samples_per_second": 22.359,
|
1005 |
+
"eval_steps_per_second": 1.424,
|
1006 |
+
"step": 26724
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 68.7,
|
1010 |
+
"learning_rate": 1.5648854961832064e-05,
|
1011 |
+
"loss": 0.1533,
|
1012 |
+
"step": 27000
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 69.0,
|
1016 |
+
"eval_bleu": 0.3096,
|
1017 |
+
"eval_gen_len": 19.0,
|
1018 |
+
"eval_loss": 0.9420493841171265,
|
1019 |
+
"eval_runtime": 35.122,
|
1020 |
+
"eval_samples_per_second": 22.351,
|
1021 |
+
"eval_steps_per_second": 1.424,
|
1022 |
+
"step": 27117
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 69.97,
|
1026 |
+
"learning_rate": 1.5012722646310435e-05,
|
1027 |
+
"loss": 0.1503,
|
1028 |
+
"step": 27500
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 70.0,
|
1032 |
+
"eval_bleu": 0.2919,
|
1033 |
+
"eval_gen_len": 19.0,
|
1034 |
+
"eval_loss": 0.9522092342376709,
|
1035 |
+
"eval_runtime": 35.4031,
|
1036 |
+
"eval_samples_per_second": 22.173,
|
1037 |
+
"eval_steps_per_second": 1.412,
|
1038 |
+
"step": 27510
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 71.0,
|
1042 |
+
"eval_bleu": 0.3085,
|
1043 |
+
"eval_gen_len": 19.0,
|
1044 |
+
"eval_loss": 0.9620120525360107,
|
1045 |
+
"eval_runtime": 35.926,
|
1046 |
+
"eval_samples_per_second": 21.85,
|
1047 |
+
"eval_steps_per_second": 1.392,
|
1048 |
+
"step": 27903
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 71.25,
|
1052 |
+
"learning_rate": 1.4376590330788805e-05,
|
1053 |
+
"loss": 0.1469,
|
1054 |
+
"step": 28000
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 72.0,
|
1058 |
+
"eval_bleu": 0.2946,
|
1059 |
+
"eval_gen_len": 19.0,
|
1060 |
+
"eval_loss": 0.9673256874084473,
|
1061 |
+
"eval_runtime": 35.209,
|
1062 |
+
"eval_samples_per_second": 22.295,
|
1063 |
+
"eval_steps_per_second": 1.42,
|
1064 |
+
"step": 28296
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 72.52,
|
1068 |
+
"learning_rate": 1.3740458015267178e-05,
|
1069 |
+
"loss": 0.1416,
|
1070 |
+
"step": 28500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 73.0,
|
1074 |
+
"eval_bleu": 0.3019,
|
1075 |
+
"eval_gen_len": 19.0,
|
1076 |
+
"eval_loss": 0.9706256985664368,
|
1077 |
+
"eval_runtime": 35.1594,
|
1078 |
+
"eval_samples_per_second": 22.327,
|
1079 |
+
"eval_steps_per_second": 1.422,
|
1080 |
+
"step": 28689
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 73.79,
|
1084 |
+
"learning_rate": 1.3104325699745548e-05,
|
1085 |
+
"loss": 0.1401,
|
1086 |
+
"step": 29000
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 74.0,
|
1090 |
+
"eval_bleu": 0.3103,
|
1091 |
+
"eval_gen_len": 19.0,
|
1092 |
+
"eval_loss": 0.9876586198806763,
|
1093 |
+
"eval_runtime": 35.0824,
|
1094 |
+
"eval_samples_per_second": 22.376,
|
1095 |
+
"eval_steps_per_second": 1.425,
|
1096 |
+
"step": 29082
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 75.0,
|
1100 |
+
"eval_bleu": 0.2903,
|
1101 |
+
"eval_gen_len": 19.0,
|
1102 |
+
"eval_loss": 0.9860377311706543,
|
1103 |
+
"eval_runtime": 35.2841,
|
1104 |
+
"eval_samples_per_second": 22.248,
|
1105 |
+
"eval_steps_per_second": 1.417,
|
1106 |
+
"step": 29475
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 75.06,
|
1110 |
+
"learning_rate": 1.2468193384223919e-05,
|
1111 |
+
"loss": 0.1376,
|
1112 |
+
"step": 29500
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 76.0,
|
1116 |
+
"eval_bleu": 0.2855,
|
1117 |
+
"eval_gen_len": 19.0,
|
1118 |
+
"eval_loss": 1.0073317289352417,
|
1119 |
+
"eval_runtime": 35.1549,
|
1120 |
+
"eval_samples_per_second": 22.33,
|
1121 |
+
"eval_steps_per_second": 1.422,
|
1122 |
+
"step": 29868
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 76.34,
|
1126 |
+
"learning_rate": 1.1832061068702292e-05,
|
1127 |
+
"loss": 0.1341,
|
1128 |
+
"step": 30000
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 77.0,
|
1132 |
+
"eval_bleu": 0.2927,
|
1133 |
+
"eval_gen_len": 19.0,
|
1134 |
+
"eval_loss": 1.0067394971847534,
|
1135 |
+
"eval_runtime": 35.7641,
|
1136 |
+
"eval_samples_per_second": 21.949,
|
1137 |
+
"eval_steps_per_second": 1.398,
|
1138 |
+
"step": 30261
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 77.61,
|
1142 |
+
"learning_rate": 1.1195928753180662e-05,
|
1143 |
+
"loss": 0.1307,
|
1144 |
+
"step": 30500
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 78.0,
|
1148 |
+
"eval_bleu": 0.3,
|
1149 |
+
"eval_gen_len": 19.0,
|
1150 |
+
"eval_loss": 1.006367564201355,
|
1151 |
+
"eval_runtime": 35.3184,
|
1152 |
+
"eval_samples_per_second": 22.226,
|
1153 |
+
"eval_steps_per_second": 1.416,
|
1154 |
+
"step": 30654
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 78.88,
|
1158 |
+
"learning_rate": 1.0559796437659033e-05,
|
1159 |
+
"loss": 0.1296,
|
1160 |
+
"step": 31000
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 79.0,
|
1164 |
+
"eval_bleu": 0.2886,
|
1165 |
+
"eval_gen_len": 19.0,
|
1166 |
+
"eval_loss": 1.022121787071228,
|
1167 |
+
"eval_runtime": 35.3415,
|
1168 |
+
"eval_samples_per_second": 22.212,
|
1169 |
+
"eval_steps_per_second": 1.415,
|
1170 |
+
"step": 31047
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 80.0,
|
1174 |
+
"eval_bleu": 0.297,
|
1175 |
+
"eval_gen_len": 19.0,
|
1176 |
+
"eval_loss": 1.021680235862732,
|
1177 |
+
"eval_runtime": 35.3179,
|
1178 |
+
"eval_samples_per_second": 22.227,
|
1179 |
+
"eval_steps_per_second": 1.416,
|
1180 |
+
"step": 31440
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"epoch": 80.15,
|
1184 |
+
"learning_rate": 9.923664122137405e-06,
|
1185 |
+
"loss": 0.126,
|
1186 |
+
"step": 31500
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 81.0,
|
1190 |
+
"eval_bleu": 0.2919,
|
1191 |
+
"eval_gen_len": 19.0,
|
1192 |
+
"eval_loss": 1.027828335762024,
|
1193 |
+
"eval_runtime": 35.4035,
|
1194 |
+
"eval_samples_per_second": 22.173,
|
1195 |
+
"eval_steps_per_second": 1.412,
|
1196 |
+
"step": 31833
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 81.42,
|
1200 |
+
"learning_rate": 9.287531806615776e-06,
|
1201 |
+
"loss": 0.1238,
|
1202 |
+
"step": 32000
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 82.0,
|
1206 |
+
"eval_bleu": 0.2951,
|
1207 |
+
"eval_gen_len": 19.0,
|
1208 |
+
"eval_loss": 1.03290855884552,
|
1209 |
+
"eval_runtime": 35.2364,
|
1210 |
+
"eval_samples_per_second": 22.278,
|
1211 |
+
"eval_steps_per_second": 1.419,
|
1212 |
+
"step": 32226
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 82.7,
|
1216 |
+
"learning_rate": 8.651399491094148e-06,
|
1217 |
+
"loss": 0.1214,
|
1218 |
+
"step": 32500
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 83.0,
|
1222 |
+
"eval_bleu": 0.3043,
|
1223 |
+
"eval_gen_len": 19.0,
|
1224 |
+
"eval_loss": 1.0350806713104248,
|
1225 |
+
"eval_runtime": 35.1544,
|
1226 |
+
"eval_samples_per_second": 22.33,
|
1227 |
+
"eval_steps_per_second": 1.422,
|
1228 |
+
"step": 32619
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 83.97,
|
1232 |
+
"learning_rate": 8.015267175572519e-06,
|
1233 |
+
"loss": 0.1206,
|
1234 |
+
"step": 33000
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 84.0,
|
1238 |
+
"eval_bleu": 0.2964,
|
1239 |
+
"eval_gen_len": 19.0,
|
1240 |
+
"eval_loss": 1.04984450340271,
|
1241 |
+
"eval_runtime": 35.3457,
|
1242 |
+
"eval_samples_per_second": 22.209,
|
1243 |
+
"eval_steps_per_second": 1.415,
|
1244 |
+
"step": 33012
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 85.0,
|
1248 |
+
"eval_bleu": 0.2971,
|
1249 |
+
"eval_gen_len": 19.0,
|
1250 |
+
"eval_loss": 1.0432653427124023,
|
1251 |
+
"eval_runtime": 35.2727,
|
1252 |
+
"eval_samples_per_second": 22.255,
|
1253 |
+
"eval_steps_per_second": 1.418,
|
1254 |
+
"step": 33405
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 85.24,
|
1258 |
+
"learning_rate": 7.379134860050891e-06,
|
1259 |
+
"loss": 0.1186,
|
1260 |
+
"step": 33500
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 86.0,
|
1264 |
+
"eval_bleu": 0.2964,
|
1265 |
+
"eval_gen_len": 19.0,
|
1266 |
+
"eval_loss": 1.05250883102417,
|
1267 |
+
"eval_runtime": 35.1615,
|
1268 |
+
"eval_samples_per_second": 22.326,
|
1269 |
+
"eval_steps_per_second": 1.422,
|
1270 |
+
"step": 33798
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 86.51,
|
1274 |
+
"learning_rate": 6.743002544529263e-06,
|
1275 |
+
"loss": 0.116,
|
1276 |
+
"step": 34000
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 87.0,
|
1280 |
+
"eval_bleu": 0.2943,
|
1281 |
+
"eval_gen_len": 19.0,
|
1282 |
+
"eval_loss": 1.0547308921813965,
|
1283 |
+
"eval_runtime": 35.1782,
|
1284 |
+
"eval_samples_per_second": 22.315,
|
1285 |
+
"eval_steps_per_second": 1.421,
|
1286 |
+
"step": 34191
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 87.79,
|
1290 |
+
"learning_rate": 6.106870229007634e-06,
|
1291 |
+
"loss": 0.116,
|
1292 |
+
"step": 34500
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 88.0,
|
1296 |
+
"eval_bleu": 0.2876,
|
1297 |
+
"eval_gen_len": 19.0,
|
1298 |
+
"eval_loss": 1.0584968328475952,
|
1299 |
+
"eval_runtime": 35.1038,
|
1300 |
+
"eval_samples_per_second": 22.362,
|
1301 |
+
"eval_steps_per_second": 1.424,
|
1302 |
+
"step": 34584
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 89.0,
|
1306 |
+
"eval_bleu": 0.2904,
|
1307 |
+
"eval_gen_len": 19.0,
|
1308 |
+
"eval_loss": 1.0630890130996704,
|
1309 |
+
"eval_runtime": 35.1555,
|
1310 |
+
"eval_samples_per_second": 22.329,
|
1311 |
+
"eval_steps_per_second": 1.422,
|
1312 |
+
"step": 34977
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 89.06,
|
1316 |
+
"learning_rate": 5.470737913486006e-06,
|
1317 |
+
"loss": 0.1131,
|
1318 |
+
"step": 35000
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 90.0,
|
1322 |
+
"eval_bleu": 0.2859,
|
1323 |
+
"eval_gen_len": 19.0,
|
1324 |
+
"eval_loss": 1.0678483247756958,
|
1325 |
+
"eval_runtime": 35.1133,
|
1326 |
+
"eval_samples_per_second": 22.356,
|
1327 |
+
"eval_steps_per_second": 1.424,
|
1328 |
+
"step": 35370
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 90.33,
|
1332 |
+
"learning_rate": 4.834605597964377e-06,
|
1333 |
+
"loss": 0.1124,
|
1334 |
+
"step": 35500
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 91.0,
|
1338 |
+
"eval_bleu": 0.3027,
|
1339 |
+
"eval_gen_len": 19.0,
|
1340 |
+
"eval_loss": 1.0763660669326782,
|
1341 |
+
"eval_runtime": 35.192,
|
1342 |
+
"eval_samples_per_second": 22.306,
|
1343 |
+
"eval_steps_per_second": 1.421,
|
1344 |
+
"step": 35763
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 91.6,
|
1348 |
+
"learning_rate": 4.198473282442748e-06,
|
1349 |
+
"loss": 0.1109,
|
1350 |
+
"step": 36000
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 92.0,
|
1354 |
+
"eval_bleu": 0.3037,
|
1355 |
+
"eval_gen_len": 19.0,
|
1356 |
+
"eval_loss": 1.0759409666061401,
|
1357 |
+
"eval_runtime": 35.1267,
|
1358 |
+
"eval_samples_per_second": 22.348,
|
1359 |
+
"eval_steps_per_second": 1.423,
|
1360 |
+
"step": 36156
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 92.88,
|
1364 |
+
"learning_rate": 3.56234096692112e-06,
|
1365 |
+
"loss": 0.1097,
|
1366 |
+
"step": 36500
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 93.0,
|
1370 |
+
"eval_bleu": 0.2962,
|
1371 |
+
"eval_gen_len": 19.0,
|
1372 |
+
"eval_loss": 1.073776364326477,
|
1373 |
+
"eval_runtime": 35.2856,
|
1374 |
+
"eval_samples_per_second": 22.247,
|
1375 |
+
"eval_steps_per_second": 1.417,
|
1376 |
+
"step": 36549
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 94.0,
|
1380 |
+
"eval_bleu": 0.2966,
|
1381 |
+
"eval_gen_len": 19.0,
|
1382 |
+
"eval_loss": 1.0854607820510864,
|
1383 |
+
"eval_runtime": 35.1676,
|
1384 |
+
"eval_samples_per_second": 22.322,
|
1385 |
+
"eval_steps_per_second": 1.422,
|
1386 |
+
"step": 36942
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 94.15,
|
1390 |
+
"learning_rate": 2.9262086513994914e-06,
|
1391 |
+
"loss": 0.1093,
|
1392 |
+
"step": 37000
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 95.0,
|
1396 |
+
"eval_bleu": 0.2968,
|
1397 |
+
"eval_gen_len": 19.0,
|
1398 |
+
"eval_loss": 1.090211033821106,
|
1399 |
+
"eval_runtime": 35.1673,
|
1400 |
+
"eval_samples_per_second": 22.322,
|
1401 |
+
"eval_steps_per_second": 1.422,
|
1402 |
+
"step": 37335
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 95.42,
|
1406 |
+
"learning_rate": 2.2900763358778625e-06,
|
1407 |
+
"loss": 0.1082,
|
1408 |
+
"step": 37500
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 96.0,
|
1412 |
+
"eval_bleu": 0.2958,
|
1413 |
+
"eval_gen_len": 19.0,
|
1414 |
+
"eval_loss": 1.0858522653579712,
|
1415 |
+
"eval_runtime": 35.1286,
|
1416 |
+
"eval_samples_per_second": 22.346,
|
1417 |
+
"eval_steps_per_second": 1.423,
|
1418 |
+
"step": 37728
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 96.69,
|
1422 |
+
"learning_rate": 1.653944020356234e-06,
|
1423 |
+
"loss": 0.1073,
|
1424 |
+
"step": 38000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 97.0,
|
1428 |
+
"eval_bleu": 0.3023,
|
1429 |
+
"eval_gen_len": 19.0,
|
1430 |
+
"eval_loss": 1.0867019891738892,
|
1431 |
+
"eval_runtime": 35.1622,
|
1432 |
+
"eval_samples_per_second": 22.325,
|
1433 |
+
"eval_steps_per_second": 1.422,
|
1434 |
+
"step": 38121
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 97.96,
|
1438 |
+
"learning_rate": 1.0178117048346056e-06,
|
1439 |
+
"loss": 0.1063,
|
1440 |
+
"step": 38500
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 98.0,
|
1444 |
+
"eval_bleu": 0.3004,
|
1445 |
+
"eval_gen_len": 19.0,
|
1446 |
+
"eval_loss": 1.090205430984497,
|
1447 |
+
"eval_runtime": 35.3454,
|
1448 |
+
"eval_samples_per_second": 22.209,
|
1449 |
+
"eval_steps_per_second": 1.415,
|
1450 |
+
"step": 38514
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 99.0,
|
1454 |
+
"eval_bleu": 0.3018,
|
1455 |
+
"eval_gen_len": 19.0,
|
1456 |
+
"eval_loss": 1.0909733772277832,
|
1457 |
+
"eval_runtime": 35.2503,
|
1458 |
+
"eval_samples_per_second": 22.269,
|
1459 |
+
"eval_steps_per_second": 1.418,
|
1460 |
+
"step": 38907
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 99.24,
|
1464 |
+
"learning_rate": 3.816793893129771e-07,
|
1465 |
+
"loss": 0.1065,
|
1466 |
+
"step": 39000
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 100.0,
|
1470 |
+
"eval_bleu": 0.3021,
|
1471 |
+
"eval_gen_len": 19.0,
|
1472 |
+
"eval_loss": 1.0916588306427002,
|
1473 |
+
"eval_runtime": 35.2577,
|
1474 |
+
"eval_samples_per_second": 22.265,
|
1475 |
+
"eval_steps_per_second": 1.418,
|
1476 |
+
"step": 39300
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 100.0,
|
1480 |
+
"step": 39300,
|
1481 |
+
"total_flos": 2.232877359218688e+17,
|
1482 |
+
"train_loss": 0.3279189860123108,
|
1483 |
+
"train_runtime": 20714.0027,
|
1484 |
+
"train_samples_per_second": 30.313,
|
1485 |
+
"train_steps_per_second": 1.897
|
1486 |
}
|
1487 |
],
|
1488 |
+
"max_steps": 39300,
|
1489 |
+
"num_train_epochs": 100,
|
1490 |
+
"total_flos": 2.232877359218688e+17,
|
1491 |
"trial_name": null,
|
1492 |
"trial_params": null
|
1493 |
}
|