mekjr1 commited on
Commit
cc5a6f3
1 Parent(s): be5f622

End of training

Browse files
all_results.json CHANGED
@@ -1,23 +1,23 @@
1
  {
2
- "epoch": 10.0,
3
- "eval_bleu": 6.8783,
4
- "eval_gen_len": 99.7771,
5
- "eval_loss": 0.7417959570884705,
6
- "eval_runtime": 138.6812,
7
  "eval_samples": 785,
8
- "eval_samples_per_second": 5.66,
9
- "eval_steps_per_second": 0.361,
10
- "predict_bleu": 6.9486,
11
- "predict_gen_len": 99.0917,
12
- "predict_loss": 0.7483241558074951,
13
- "predict_runtime": 139.0659,
14
  "predict_samples": 785,
15
- "predict_samples_per_second": 5.645,
16
- "predict_steps_per_second": 0.36,
17
- "total_flos": 2.232877359218688e+16,
18
- "train_loss": 0.9653779240964934,
19
- "train_runtime": 2075.6207,
20
  "train_samples": 6279,
21
- "train_samples_per_second": 30.251,
22
- "train_steps_per_second": 1.893
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": 10.0,
3
- "eval_bleu": 6.8783,
4
- "eval_gen_len": 99.7771,
5
- "eval_loss": 0.7417959570884705,
6
- "eval_runtime": 138.6812,
7
  "eval_samples": 785,
8
- "eval_samples_per_second": 5.66,
9
- "eval_steps_per_second": 0.361
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": 6.9486,
3
- "predict_gen_len": 99.0917,
4
- "predict_loss": 0.7483241558074951,
5
- "predict_runtime": 139.0659,
6
  "predict_samples": 785,
7
- "predict_samples_per_second": 5.645,
8
- "predict_steps_per_second": 0.36
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": 10.0,
3
- "total_flos": 2.232877359218688e+16,
4
- "train_loss": 0.9653779240964934,
5
- "train_runtime": 2075.6207,
6
  "train_samples": 6279,
7
- "train_samples_per_second": 30.251,
8
- "train_steps_per_second": 1.893
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": 10.0,
5
- "global_step": 3930,
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": 0.0452,
13
  "eval_gen_len": 19.0,
14
- "eval_loss": 1.0331772565841675,
15
- "eval_runtime": 41.1909,
16
- "eval_samples_per_second": 19.058,
17
- "eval_steps_per_second": 1.214,
18
  "step": 393
19
  },
20
  {
21
  "epoch": 1.27,
22
- "learning_rate": 4.3638676844783716e-05,
23
- "loss": 1.5229,
24
  "step": 500
25
  },
26
  {
27
  "epoch": 2.0,
28
- "eval_bleu": 0.1159,
29
  "eval_gen_len": 19.0,
30
- "eval_loss": 0.912860095500946,
31
- "eval_runtime": 38.6643,
32
- "eval_samples_per_second": 20.303,
33
- "eval_steps_per_second": 1.293,
34
  "step": 786
35
  },
36
  {
37
  "epoch": 2.54,
38
- "learning_rate": 3.727735368956743e-05,
39
- "loss": 1.0464,
40
  "step": 1000
41
  },
42
  {
43
  "epoch": 3.0,
44
- "eval_bleu": 0.1479,
45
  "eval_gen_len": 19.0,
46
- "eval_loss": 0.8561409115791321,
47
- "eval_runtime": 38.5663,
48
- "eval_samples_per_second": 20.355,
49
- "eval_steps_per_second": 1.296,
50
  "step": 1179
51
  },
52
  {
53
  "epoch": 3.82,
54
- "learning_rate": 3.091603053435115e-05,
55
- "loss": 0.9477,
56
  "step": 1500
57
  },
58
  {
59
  "epoch": 4.0,
60
- "eval_bleu": 0.1678,
61
  "eval_gen_len": 19.0,
62
- "eval_loss": 0.8148155808448792,
63
- "eval_runtime": 38.0933,
64
- "eval_samples_per_second": 20.607,
65
- "eval_steps_per_second": 1.313,
66
  "step": 1572
67
  },
68
  {
69
  "epoch": 5.0,
70
- "eval_bleu": 0.1791,
71
  "eval_gen_len": 19.0,
72
- "eval_loss": 0.7879176735877991,
73
- "eval_runtime": 38.3603,
74
- "eval_samples_per_second": 20.464,
75
- "eval_steps_per_second": 1.303,
76
  "step": 1965
77
  },
78
  {
79
  "epoch": 5.09,
80
- "learning_rate": 2.455470737913486e-05,
81
- "loss": 0.8888,
82
  "step": 2000
83
  },
84
  {
85
  "epoch": 6.0,
86
- "eval_bleu": 0.1628,
87
  "eval_gen_len": 19.0,
88
- "eval_loss": 0.7707892656326294,
89
- "eval_runtime": 38.214,
90
- "eval_samples_per_second": 20.542,
91
- "eval_steps_per_second": 1.308,
92
  "step": 2358
93
  },
94
  {
95
  "epoch": 6.36,
96
- "learning_rate": 1.8193384223918574e-05,
97
- "loss": 0.8517,
98
  "step": 2500
99
  },
100
  {
101
  "epoch": 7.0,
102
- "eval_bleu": 0.1582,
103
  "eval_gen_len": 19.0,
104
- "eval_loss": 0.7597165107727051,
105
- "eval_runtime": 38.4006,
106
- "eval_samples_per_second": 20.442,
107
- "eval_steps_per_second": 1.302,
108
  "step": 2751
109
  },
110
  {
111
  "epoch": 7.63,
112
- "learning_rate": 1.1832061068702292e-05,
113
- "loss": 0.8279,
114
  "step": 3000
115
  },
116
  {
117
  "epoch": 8.0,
118
- "eval_bleu": 0.1683,
119
  "eval_gen_len": 19.0,
120
- "eval_loss": 0.7492462992668152,
121
- "eval_runtime": 38.3938,
122
- "eval_samples_per_second": 20.446,
123
- "eval_steps_per_second": 1.302,
124
  "step": 3144
125
  },
126
  {
127
  "epoch": 8.91,
128
- "learning_rate": 5.470737913486006e-06,
129
- "loss": 0.8107,
130
  "step": 3500
131
  },
132
  {
133
  "epoch": 9.0,
134
- "eval_bleu": 0.1704,
135
  "eval_gen_len": 19.0,
136
- "eval_loss": 0.7442331314086914,
137
- "eval_runtime": 38.261,
138
- "eval_samples_per_second": 20.517,
139
- "eval_steps_per_second": 1.307,
140
  "step": 3537
141
  },
142
  {
143
  "epoch": 10.0,
144
- "eval_bleu": 0.1683,
145
  "eval_gen_len": 19.0,
146
- "eval_loss": 0.7417959570884705,
147
- "eval_runtime": 38.3788,
148
- "eval_samples_per_second": 20.454,
149
- "eval_steps_per_second": 1.303,
150
  "step": 3930
151
  },
152
  {
153
- "epoch": 10.0,
154
- "step": 3930,
155
- "total_flos": 2.232877359218688e+16,
156
- "train_loss": 0.9653779240964934,
157
- "train_runtime": 2075.6207,
158
- "train_samples_per_second": 30.251,
159
- "train_steps_per_second": 1.893
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
160
  }
161
  ],
162
- "max_steps": 3930,
163
- "num_train_epochs": 10,
164
- "total_flos": 2.232877359218688e+16,
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
  }