brutusxu commited on
Commit
34ef68a
1 Parent(s): 59942bc
config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "t5-base",
3
+ "architectures": [
4
+ "T5ForConditionalGeneration"
5
+ ],
6
+ "d_ff": 3072,
7
+ "d_kv": 64,
8
+ "d_model": 768,
9
+ "decoder_start_token_id": 0,
10
+ "dense_act_fn": "relu",
11
+ "dropout_rate": 0.1,
12
+ "eos_token_id": 1,
13
+ "feed_forward_proj": "relu",
14
+ "initializer_factor": 1.0,
15
+ "is_encoder_decoder": true,
16
+ "is_gated_act": false,
17
+ "layer_norm_epsilon": 1e-06,
18
+ "model_type": "t5",
19
+ "n_positions": 512,
20
+ "num_decoder_layers": 12,
21
+ "num_heads": 12,
22
+ "num_layers": 12,
23
+ "output_past": true,
24
+ "pad_token_id": 0,
25
+ "relative_attention_max_distance": 128,
26
+ "relative_attention_num_buckets": 32,
27
+ "task_specific_params": {
28
+ "summarization": {
29
+ "early_stopping": true,
30
+ "length_penalty": 2.0,
31
+ "max_length": 200,
32
+ "min_length": 30,
33
+ "no_repeat_ngram_size": 3,
34
+ "num_beams": 4,
35
+ "prefix": "summarize: "
36
+ },
37
+ "translation_en_to_de": {
38
+ "early_stopping": true,
39
+ "max_length": 300,
40
+ "num_beams": 4,
41
+ "prefix": "translate English to German: "
42
+ },
43
+ "translation_en_to_fr": {
44
+ "early_stopping": true,
45
+ "max_length": 300,
46
+ "num_beams": 4,
47
+ "prefix": "translate English to French: "
48
+ },
49
+ "translation_en_to_ro": {
50
+ "early_stopping": true,
51
+ "max_length": 300,
52
+ "num_beams": 4,
53
+ "prefix": "translate English to Romanian: "
54
+ }
55
+ },
56
+ "torch_dtype": "float32",
57
+ "transformers_version": "4.24.0",
58
+ "use_cache": true,
59
+ "vocab_size": 32128
60
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8bc2457afdabd2cd385d5a14e1fedb27de31fce1927798456d159bab017b1d27
3
+ size 1783381253
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3885d020094f1b55ebc97320d3fdedcc130747d79edd6a6fdf5f19252981973b
3
+ size 891702929
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:627dad3e69439177a334883f827dfeb132cad8d5ed65e566006a7ed9cb6ebf73
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4ca02b42dda87eae1f459f5612ce04d7d315a41f30465487297bda13c7d35e5
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<extra_id_0>",
4
+ "<extra_id_1>",
5
+ "<extra_id_2>",
6
+ "<extra_id_3>",
7
+ "<extra_id_4>",
8
+ "<extra_id_5>",
9
+ "<extra_id_6>",
10
+ "<extra_id_7>",
11
+ "<extra_id_8>",
12
+ "<extra_id_9>",
13
+ "<extra_id_10>",
14
+ "<extra_id_11>",
15
+ "<extra_id_12>",
16
+ "<extra_id_13>",
17
+ "<extra_id_14>",
18
+ "<extra_id_15>",
19
+ "<extra_id_16>",
20
+ "<extra_id_17>",
21
+ "<extra_id_18>",
22
+ "<extra_id_19>",
23
+ "<extra_id_20>",
24
+ "<extra_id_21>",
25
+ "<extra_id_22>",
26
+ "<extra_id_23>",
27
+ "<extra_id_24>",
28
+ "<extra_id_25>",
29
+ "<extra_id_26>",
30
+ "<extra_id_27>",
31
+ "<extra_id_28>",
32
+ "<extra_id_29>",
33
+ "<extra_id_30>",
34
+ "<extra_id_31>",
35
+ "<extra_id_32>",
36
+ "<extra_id_33>",
37
+ "<extra_id_34>",
38
+ "<extra_id_35>",
39
+ "<extra_id_36>",
40
+ "<extra_id_37>",
41
+ "<extra_id_38>",
42
+ "<extra_id_39>",
43
+ "<extra_id_40>",
44
+ "<extra_id_41>",
45
+ "<extra_id_42>",
46
+ "<extra_id_43>",
47
+ "<extra_id_44>",
48
+ "<extra_id_45>",
49
+ "<extra_id_46>",
50
+ "<extra_id_47>",
51
+ "<extra_id_48>",
52
+ "<extra_id_49>",
53
+ "<extra_id_50>",
54
+ "<extra_id_51>",
55
+ "<extra_id_52>",
56
+ "<extra_id_53>",
57
+ "<extra_id_54>",
58
+ "<extra_id_55>",
59
+ "<extra_id_56>",
60
+ "<extra_id_57>",
61
+ "<extra_id_58>",
62
+ "<extra_id_59>",
63
+ "<extra_id_60>",
64
+ "<extra_id_61>",
65
+ "<extra_id_62>",
66
+ "<extra_id_63>",
67
+ "<extra_id_64>",
68
+ "<extra_id_65>",
69
+ "<extra_id_66>",
70
+ "<extra_id_67>",
71
+ "<extra_id_68>",
72
+ "<extra_id_69>",
73
+ "<extra_id_70>",
74
+ "<extra_id_71>",
75
+ "<extra_id_72>",
76
+ "<extra_id_73>",
77
+ "<extra_id_74>",
78
+ "<extra_id_75>",
79
+ "<extra_id_76>",
80
+ "<extra_id_77>",
81
+ "<extra_id_78>",
82
+ "<extra_id_79>",
83
+ "<extra_id_80>",
84
+ "<extra_id_81>",
85
+ "<extra_id_82>",
86
+ "<extra_id_83>",
87
+ "<extra_id_84>",
88
+ "<extra_id_85>",
89
+ "<extra_id_86>",
90
+ "<extra_id_87>",
91
+ "<extra_id_88>",
92
+ "<extra_id_89>",
93
+ "<extra_id_90>",
94
+ "<extra_id_91>",
95
+ "<extra_id_92>",
96
+ "<extra_id_93>",
97
+ "<extra_id_94>",
98
+ "<extra_id_95>",
99
+ "<extra_id_96>",
100
+ "<extra_id_97>",
101
+ "<extra_id_98>",
102
+ "<extra_id_99>"
103
+ ],
104
+ "eos_token": "</s>",
105
+ "pad_token": "<pad>",
106
+ "unk_token": "<unk>"
107
+ }
spiece.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
3
+ size 791656
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<extra_id_0>",
4
+ "<extra_id_1>",
5
+ "<extra_id_2>",
6
+ "<extra_id_3>",
7
+ "<extra_id_4>",
8
+ "<extra_id_5>",
9
+ "<extra_id_6>",
10
+ "<extra_id_7>",
11
+ "<extra_id_8>",
12
+ "<extra_id_9>",
13
+ "<extra_id_10>",
14
+ "<extra_id_11>",
15
+ "<extra_id_12>",
16
+ "<extra_id_13>",
17
+ "<extra_id_14>",
18
+ "<extra_id_15>",
19
+ "<extra_id_16>",
20
+ "<extra_id_17>",
21
+ "<extra_id_18>",
22
+ "<extra_id_19>",
23
+ "<extra_id_20>",
24
+ "<extra_id_21>",
25
+ "<extra_id_22>",
26
+ "<extra_id_23>",
27
+ "<extra_id_24>",
28
+ "<extra_id_25>",
29
+ "<extra_id_26>",
30
+ "<extra_id_27>",
31
+ "<extra_id_28>",
32
+ "<extra_id_29>",
33
+ "<extra_id_30>",
34
+ "<extra_id_31>",
35
+ "<extra_id_32>",
36
+ "<extra_id_33>",
37
+ "<extra_id_34>",
38
+ "<extra_id_35>",
39
+ "<extra_id_36>",
40
+ "<extra_id_37>",
41
+ "<extra_id_38>",
42
+ "<extra_id_39>",
43
+ "<extra_id_40>",
44
+ "<extra_id_41>",
45
+ "<extra_id_42>",
46
+ "<extra_id_43>",
47
+ "<extra_id_44>",
48
+ "<extra_id_45>",
49
+ "<extra_id_46>",
50
+ "<extra_id_47>",
51
+ "<extra_id_48>",
52
+ "<extra_id_49>",
53
+ "<extra_id_50>",
54
+ "<extra_id_51>",
55
+ "<extra_id_52>",
56
+ "<extra_id_53>",
57
+ "<extra_id_54>",
58
+ "<extra_id_55>",
59
+ "<extra_id_56>",
60
+ "<extra_id_57>",
61
+ "<extra_id_58>",
62
+ "<extra_id_59>",
63
+ "<extra_id_60>",
64
+ "<extra_id_61>",
65
+ "<extra_id_62>",
66
+ "<extra_id_63>",
67
+ "<extra_id_64>",
68
+ "<extra_id_65>",
69
+ "<extra_id_66>",
70
+ "<extra_id_67>",
71
+ "<extra_id_68>",
72
+ "<extra_id_69>",
73
+ "<extra_id_70>",
74
+ "<extra_id_71>",
75
+ "<extra_id_72>",
76
+ "<extra_id_73>",
77
+ "<extra_id_74>",
78
+ "<extra_id_75>",
79
+ "<extra_id_76>",
80
+ "<extra_id_77>",
81
+ "<extra_id_78>",
82
+ "<extra_id_79>",
83
+ "<extra_id_80>",
84
+ "<extra_id_81>",
85
+ "<extra_id_82>",
86
+ "<extra_id_83>",
87
+ "<extra_id_84>",
88
+ "<extra_id_85>",
89
+ "<extra_id_86>",
90
+ "<extra_id_87>",
91
+ "<extra_id_88>",
92
+ "<extra_id_89>",
93
+ "<extra_id_90>",
94
+ "<extra_id_91>",
95
+ "<extra_id_92>",
96
+ "<extra_id_93>",
97
+ "<extra_id_94>",
98
+ "<extra_id_95>",
99
+ "<extra_id_96>",
100
+ "<extra_id_97>",
101
+ "<extra_id_98>",
102
+ "<extra_id_99>"
103
+ ],
104
+ "eos_token": "</s>",
105
+ "extra_ids": 100,
106
+ "model_max_length": 512,
107
+ "name_or_path": "t5-base",
108
+ "pad_token": "<pad>",
109
+ "special_tokens_map_file": null,
110
+ "tokenizer_class": "T5Tokenizer",
111
+ "unk_token": "<unk>"
112
+ }
trainer_state.json ADDED
@@ -0,0 +1,973 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "global_step": 76518,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.9869311795917304e-05,
13
+ "loss": 1.2439,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 1.9738623591834603e-05,
19
+ "loss": 0.6806,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 1.9607935387751905e-05,
25
+ "loss": 0.6678,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "learning_rate": 1.9477247183669204e-05,
31
+ "loss": 0.6594,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.1,
36
+ "learning_rate": 1.9346558979586506e-05,
37
+ "loss": 0.6537,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.12,
42
+ "learning_rate": 1.9215870775503805e-05,
43
+ "loss": 0.6493,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.14,
48
+ "learning_rate": 1.9085182571421107e-05,
49
+ "loss": 0.646,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.16,
54
+ "learning_rate": 1.8954494367338406e-05,
55
+ "loss": 0.6475,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.18,
60
+ "learning_rate": 1.8823806163255708e-05,
61
+ "loss": 0.6358,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.2,
66
+ "learning_rate": 1.8693117959173007e-05,
67
+ "loss": 0.6404,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.22,
72
+ "learning_rate": 1.856242975509031e-05,
73
+ "loss": 0.636,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.24,
78
+ "learning_rate": 1.8431741551007608e-05,
79
+ "loss": 0.6307,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.25,
84
+ "learning_rate": 1.830105334692491e-05,
85
+ "loss": 0.6292,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.27,
90
+ "learning_rate": 1.817036514284221e-05,
91
+ "loss": 0.6254,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.29,
96
+ "learning_rate": 1.803967693875951e-05,
97
+ "loss": 0.632,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.31,
102
+ "learning_rate": 1.790898873467681e-05,
103
+ "loss": 0.6276,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.33,
108
+ "learning_rate": 1.7778300530594112e-05,
109
+ "loss": 0.6295,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.35,
114
+ "learning_rate": 1.764761232651141e-05,
115
+ "loss": 0.625,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.37,
120
+ "learning_rate": 1.751692412242871e-05,
121
+ "loss": 0.6272,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.39,
126
+ "learning_rate": 1.7386235918346012e-05,
127
+ "loss": 0.6241,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.41,
132
+ "learning_rate": 1.725554771426331e-05,
133
+ "loss": 0.6208,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.43,
138
+ "learning_rate": 1.7124859510180613e-05,
139
+ "loss": 0.6201,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.45,
144
+ "learning_rate": 1.699417130609791e-05,
145
+ "loss": 0.6271,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.47,
150
+ "learning_rate": 1.6863483102015214e-05,
151
+ "loss": 0.6173,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.49,
156
+ "learning_rate": 1.6732794897932513e-05,
157
+ "loss": 0.6172,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.51,
162
+ "learning_rate": 1.6602106693849815e-05,
163
+ "loss": 0.6135,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.53,
168
+ "learning_rate": 1.6471418489767114e-05,
169
+ "loss": 0.6115,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.55,
174
+ "learning_rate": 1.6340730285684416e-05,
175
+ "loss": 0.6191,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.57,
180
+ "learning_rate": 1.6210042081601715e-05,
181
+ "loss": 0.6177,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.59,
186
+ "learning_rate": 1.6079353877519017e-05,
187
+ "loss": 0.6171,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.61,
192
+ "learning_rate": 1.5948665673436316e-05,
193
+ "loss": 0.6225,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.63,
198
+ "learning_rate": 1.5817977469353618e-05,
199
+ "loss": 0.6078,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.65,
204
+ "learning_rate": 1.5687289265270917e-05,
205
+ "loss": 0.6115,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.67,
210
+ "learning_rate": 1.555660106118822e-05,
211
+ "loss": 0.6085,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.69,
216
+ "learning_rate": 1.5425912857105518e-05,
217
+ "loss": 0.6011,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.71,
222
+ "learning_rate": 1.529522465302282e-05,
223
+ "loss": 0.6096,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.73,
228
+ "learning_rate": 1.5164536448940119e-05,
229
+ "loss": 0.6144,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.74,
234
+ "learning_rate": 1.5033848244857421e-05,
235
+ "loss": 0.6042,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.76,
240
+ "learning_rate": 1.490316004077472e-05,
241
+ "loss": 0.6149,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.78,
246
+ "learning_rate": 1.4772471836692022e-05,
247
+ "loss": 0.6024,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.8,
252
+ "learning_rate": 1.464178363260932e-05,
253
+ "loss": 0.603,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.82,
258
+ "learning_rate": 1.4511095428526623e-05,
259
+ "loss": 0.6062,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.84,
264
+ "learning_rate": 1.4380407224443922e-05,
265
+ "loss": 0.6073,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.86,
270
+ "learning_rate": 1.4249719020361224e-05,
271
+ "loss": 0.6058,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.88,
276
+ "learning_rate": 1.4119030816278523e-05,
277
+ "loss": 0.6066,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.9,
282
+ "learning_rate": 1.3988342612195825e-05,
283
+ "loss": 0.6008,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.92,
288
+ "learning_rate": 1.3857654408113126e-05,
289
+ "loss": 0.622,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.94,
294
+ "learning_rate": 1.3726966204030424e-05,
295
+ "loss": 0.6013,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.96,
300
+ "learning_rate": 1.3596277999947727e-05,
301
+ "loss": 0.6073,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.98,
306
+ "learning_rate": 1.3465589795865025e-05,
307
+ "loss": 0.5973,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 1.0,
312
+ "learning_rate": 1.3334901591782328e-05,
313
+ "loss": 0.6065,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 1.0,
318
+ "eval_gen_len": 18.7995,
319
+ "eval_loss": 0.547476589679718,
320
+ "eval_rouge1": 34.0929,
321
+ "eval_rouge2": 12.225,
322
+ "eval_rougeL": 27.465,
323
+ "eval_rougeLsum": 27.4736,
324
+ "eval_runtime": 1500.9794,
325
+ "eval_samples_per_second": 7.55,
326
+ "eval_steps_per_second": 1.887,
327
+ "step": 25506
328
+ },
329
+ {
330
+ "epoch": 1.02,
331
+ "learning_rate": 1.3204213387699626e-05,
332
+ "loss": 0.5931,
333
+ "step": 26000
334
+ },
335
+ {
336
+ "epoch": 1.04,
337
+ "learning_rate": 1.3073525183616929e-05,
338
+ "loss": 0.5981,
339
+ "step": 26500
340
+ },
341
+ {
342
+ "epoch": 1.06,
343
+ "learning_rate": 1.2942836979534227e-05,
344
+ "loss": 0.5865,
345
+ "step": 27000
346
+ },
347
+ {
348
+ "epoch": 1.08,
349
+ "learning_rate": 1.281214877545153e-05,
350
+ "loss": 0.5894,
351
+ "step": 27500
352
+ },
353
+ {
354
+ "epoch": 1.1,
355
+ "learning_rate": 1.2681460571368828e-05,
356
+ "loss": 0.5844,
357
+ "step": 28000
358
+ },
359
+ {
360
+ "epoch": 1.12,
361
+ "learning_rate": 1.255077236728613e-05,
362
+ "loss": 0.5928,
363
+ "step": 28500
364
+ },
365
+ {
366
+ "epoch": 1.14,
367
+ "learning_rate": 1.242008416320343e-05,
368
+ "loss": 0.5891,
369
+ "step": 29000
370
+ },
371
+ {
372
+ "epoch": 1.16,
373
+ "learning_rate": 1.2289395959120732e-05,
374
+ "loss": 0.5868,
375
+ "step": 29500
376
+ },
377
+ {
378
+ "epoch": 1.18,
379
+ "learning_rate": 1.215870775503803e-05,
380
+ "loss": 0.5831,
381
+ "step": 30000
382
+ },
383
+ {
384
+ "epoch": 1.2,
385
+ "learning_rate": 1.2028019550955333e-05,
386
+ "loss": 0.5894,
387
+ "step": 30500
388
+ },
389
+ {
390
+ "epoch": 1.22,
391
+ "learning_rate": 1.1897331346872632e-05,
392
+ "loss": 0.5926,
393
+ "step": 31000
394
+ },
395
+ {
396
+ "epoch": 1.24,
397
+ "learning_rate": 1.1766643142789934e-05,
398
+ "loss": 0.5891,
399
+ "step": 31500
400
+ },
401
+ {
402
+ "epoch": 1.25,
403
+ "learning_rate": 1.1635954938707233e-05,
404
+ "loss": 0.5925,
405
+ "step": 32000
406
+ },
407
+ {
408
+ "epoch": 1.27,
409
+ "learning_rate": 1.1505266734624533e-05,
410
+ "loss": 0.582,
411
+ "step": 32500
412
+ },
413
+ {
414
+ "epoch": 1.29,
415
+ "learning_rate": 1.1374578530541834e-05,
416
+ "loss": 0.5904,
417
+ "step": 33000
418
+ },
419
+ {
420
+ "epoch": 1.31,
421
+ "learning_rate": 1.1243890326459134e-05,
422
+ "loss": 0.596,
423
+ "step": 33500
424
+ },
425
+ {
426
+ "epoch": 1.33,
427
+ "learning_rate": 1.1113202122376435e-05,
428
+ "loss": 0.5851,
429
+ "step": 34000
430
+ },
431
+ {
432
+ "epoch": 1.35,
433
+ "learning_rate": 1.0982513918293735e-05,
434
+ "loss": 0.5852,
435
+ "step": 34500
436
+ },
437
+ {
438
+ "epoch": 1.37,
439
+ "learning_rate": 1.0851825714211037e-05,
440
+ "loss": 0.5952,
441
+ "step": 35000
442
+ },
443
+ {
444
+ "epoch": 1.39,
445
+ "learning_rate": 1.0721137510128336e-05,
446
+ "loss": 0.5857,
447
+ "step": 35500
448
+ },
449
+ {
450
+ "epoch": 1.41,
451
+ "learning_rate": 1.0590449306045638e-05,
452
+ "loss": 0.5875,
453
+ "step": 36000
454
+ },
455
+ {
456
+ "epoch": 1.43,
457
+ "learning_rate": 1.0459761101962937e-05,
458
+ "loss": 0.5901,
459
+ "step": 36500
460
+ },
461
+ {
462
+ "epoch": 1.45,
463
+ "learning_rate": 1.032907289788024e-05,
464
+ "loss": 0.5883,
465
+ "step": 37000
466
+ },
467
+ {
468
+ "epoch": 1.47,
469
+ "learning_rate": 1.0198384693797538e-05,
470
+ "loss": 0.5893,
471
+ "step": 37500
472
+ },
473
+ {
474
+ "epoch": 1.49,
475
+ "learning_rate": 1.006769648971484e-05,
476
+ "loss": 0.5853,
477
+ "step": 38000
478
+ },
479
+ {
480
+ "epoch": 1.51,
481
+ "learning_rate": 9.93700828563214e-06,
482
+ "loss": 0.5839,
483
+ "step": 38500
484
+ },
485
+ {
486
+ "epoch": 1.53,
487
+ "learning_rate": 9.80632008154944e-06,
488
+ "loss": 0.5877,
489
+ "step": 39000
490
+ },
491
+ {
492
+ "epoch": 1.55,
493
+ "learning_rate": 9.67563187746674e-06,
494
+ "loss": 0.5904,
495
+ "step": 39500
496
+ },
497
+ {
498
+ "epoch": 1.57,
499
+ "learning_rate": 9.54494367338404e-06,
500
+ "loss": 0.5753,
501
+ "step": 40000
502
+ },
503
+ {
504
+ "epoch": 1.59,
505
+ "learning_rate": 9.414255469301343e-06,
506
+ "loss": 0.5855,
507
+ "step": 40500
508
+ },
509
+ {
510
+ "epoch": 1.61,
511
+ "learning_rate": 9.283567265218643e-06,
512
+ "loss": 0.5917,
513
+ "step": 41000
514
+ },
515
+ {
516
+ "epoch": 1.63,
517
+ "learning_rate": 9.152879061135942e-06,
518
+ "loss": 0.5818,
519
+ "step": 41500
520
+ },
521
+ {
522
+ "epoch": 1.65,
523
+ "learning_rate": 9.022190857053243e-06,
524
+ "loss": 0.578,
525
+ "step": 42000
526
+ },
527
+ {
528
+ "epoch": 1.67,
529
+ "learning_rate": 8.891502652970543e-06,
530
+ "loss": 0.5831,
531
+ "step": 42500
532
+ },
533
+ {
534
+ "epoch": 1.69,
535
+ "learning_rate": 8.760814448887844e-06,
536
+ "loss": 0.583,
537
+ "step": 43000
538
+ },
539
+ {
540
+ "epoch": 1.71,
541
+ "learning_rate": 8.630126244805144e-06,
542
+ "loss": 0.5869,
543
+ "step": 43500
544
+ },
545
+ {
546
+ "epoch": 1.73,
547
+ "learning_rate": 8.499438040722445e-06,
548
+ "loss": 0.5802,
549
+ "step": 44000
550
+ },
551
+ {
552
+ "epoch": 1.74,
553
+ "learning_rate": 8.368749836639745e-06,
554
+ "loss": 0.5776,
555
+ "step": 44500
556
+ },
557
+ {
558
+ "epoch": 1.76,
559
+ "learning_rate": 8.238061632557046e-06,
560
+ "loss": 0.5833,
561
+ "step": 45000
562
+ },
563
+ {
564
+ "epoch": 1.78,
565
+ "learning_rate": 8.107373428474346e-06,
566
+ "loss": 0.5844,
567
+ "step": 45500
568
+ },
569
+ {
570
+ "epoch": 1.8,
571
+ "learning_rate": 7.976685224391647e-06,
572
+ "loss": 0.5834,
573
+ "step": 46000
574
+ },
575
+ {
576
+ "epoch": 1.82,
577
+ "learning_rate": 7.845997020308947e-06,
578
+ "loss": 0.5829,
579
+ "step": 46500
580
+ },
581
+ {
582
+ "epoch": 1.84,
583
+ "learning_rate": 7.715308816226248e-06,
584
+ "loss": 0.5849,
585
+ "step": 47000
586
+ },
587
+ {
588
+ "epoch": 1.86,
589
+ "learning_rate": 7.584620612143548e-06,
590
+ "loss": 0.5874,
591
+ "step": 47500
592
+ },
593
+ {
594
+ "epoch": 1.88,
595
+ "learning_rate": 7.453932408060849e-06,
596
+ "loss": 0.5879,
597
+ "step": 48000
598
+ },
599
+ {
600
+ "epoch": 1.9,
601
+ "learning_rate": 7.323244203978149e-06,
602
+ "loss": 0.577,
603
+ "step": 48500
604
+ },
605
+ {
606
+ "epoch": 1.92,
607
+ "learning_rate": 7.19255599989545e-06,
608
+ "loss": 0.5807,
609
+ "step": 49000
610
+ },
611
+ {
612
+ "epoch": 1.94,
613
+ "learning_rate": 7.06186779581275e-06,
614
+ "loss": 0.5865,
615
+ "step": 49500
616
+ },
617
+ {
618
+ "epoch": 1.96,
619
+ "learning_rate": 6.931179591730051e-06,
620
+ "loss": 0.5765,
621
+ "step": 50000
622
+ },
623
+ {
624
+ "epoch": 1.98,
625
+ "learning_rate": 6.8004913876473514e-06,
626
+ "loss": 0.5883,
627
+ "step": 50500
628
+ },
629
+ {
630
+ "epoch": 2.0,
631
+ "learning_rate": 6.669803183564651e-06,
632
+ "loss": 0.5787,
633
+ "step": 51000
634
+ },
635
+ {
636
+ "epoch": 2.0,
637
+ "eval_gen_len": 18.8155,
638
+ "eval_loss": 0.5370269417762756,
639
+ "eval_rouge1": 34.4751,
640
+ "eval_rouge2": 12.6984,
641
+ "eval_rougeL": 27.9605,
642
+ "eval_rougeLsum": 27.9586,
643
+ "eval_runtime": 1516.6364,
644
+ "eval_samples_per_second": 7.472,
645
+ "eval_steps_per_second": 1.868,
646
+ "step": 51012
647
+ },
648
+ {
649
+ "epoch": 2.02,
650
+ "learning_rate": 6.539114979481952e-06,
651
+ "loss": 0.5674,
652
+ "step": 51500
653
+ },
654
+ {
655
+ "epoch": 2.04,
656
+ "learning_rate": 6.408426775399254e-06,
657
+ "loss": 0.5708,
658
+ "step": 52000
659
+ },
660
+ {
661
+ "epoch": 2.06,
662
+ "learning_rate": 6.277738571316554e-06,
663
+ "loss": 0.5746,
664
+ "step": 52500
665
+ },
666
+ {
667
+ "epoch": 2.08,
668
+ "learning_rate": 6.147050367233854e-06,
669
+ "loss": 0.5726,
670
+ "step": 53000
671
+ },
672
+ {
673
+ "epoch": 2.1,
674
+ "learning_rate": 6.0163621631511545e-06,
675
+ "loss": 0.5789,
676
+ "step": 53500
677
+ },
678
+ {
679
+ "epoch": 2.12,
680
+ "learning_rate": 5.885673959068455e-06,
681
+ "loss": 0.5693,
682
+ "step": 54000
683
+ },
684
+ {
685
+ "epoch": 2.14,
686
+ "learning_rate": 5.7549857549857555e-06,
687
+ "loss": 0.5677,
688
+ "step": 54500
689
+ },
690
+ {
691
+ "epoch": 2.16,
692
+ "learning_rate": 5.624297550903056e-06,
693
+ "loss": 0.5724,
694
+ "step": 55000
695
+ },
696
+ {
697
+ "epoch": 2.18,
698
+ "learning_rate": 5.4936093468203565e-06,
699
+ "loss": 0.5737,
700
+ "step": 55500
701
+ },
702
+ {
703
+ "epoch": 2.2,
704
+ "learning_rate": 5.362921142737657e-06,
705
+ "loss": 0.5758,
706
+ "step": 56000
707
+ },
708
+ {
709
+ "epoch": 2.22,
710
+ "learning_rate": 5.2322329386549575e-06,
711
+ "loss": 0.5693,
712
+ "step": 56500
713
+ },
714
+ {
715
+ "epoch": 2.23,
716
+ "learning_rate": 5.101544734572258e-06,
717
+ "loss": 0.5772,
718
+ "step": 57000
719
+ },
720
+ {
721
+ "epoch": 2.25,
722
+ "learning_rate": 4.9708565304895586e-06,
723
+ "loss": 0.5793,
724
+ "step": 57500
725
+ },
726
+ {
727
+ "epoch": 2.27,
728
+ "learning_rate": 4.840168326406859e-06,
729
+ "loss": 0.576,
730
+ "step": 58000
731
+ },
732
+ {
733
+ "epoch": 2.29,
734
+ "learning_rate": 4.70948012232416e-06,
735
+ "loss": 0.5768,
736
+ "step": 58500
737
+ },
738
+ {
739
+ "epoch": 2.31,
740
+ "learning_rate": 4.57879191824146e-06,
741
+ "loss": 0.5685,
742
+ "step": 59000
743
+ },
744
+ {
745
+ "epoch": 2.33,
746
+ "learning_rate": 4.448103714158761e-06,
747
+ "loss": 0.5706,
748
+ "step": 59500
749
+ },
750
+ {
751
+ "epoch": 2.35,
752
+ "learning_rate": 4.31741551007606e-06,
753
+ "loss": 0.5796,
754
+ "step": 60000
755
+ },
756
+ {
757
+ "epoch": 2.37,
758
+ "learning_rate": 4.186727305993362e-06,
759
+ "loss": 0.5763,
760
+ "step": 60500
761
+ },
762
+ {
763
+ "epoch": 2.39,
764
+ "learning_rate": 4.056039101910662e-06,
765
+ "loss": 0.5707,
766
+ "step": 61000
767
+ },
768
+ {
769
+ "epoch": 2.41,
770
+ "learning_rate": 3.925350897827963e-06,
771
+ "loss": 0.5748,
772
+ "step": 61500
773
+ },
774
+ {
775
+ "epoch": 2.43,
776
+ "learning_rate": 3.794662693745263e-06,
777
+ "loss": 0.5762,
778
+ "step": 62000
779
+ },
780
+ {
781
+ "epoch": 2.45,
782
+ "learning_rate": 3.6639744896625632e-06,
783
+ "loss": 0.5693,
784
+ "step": 62500
785
+ },
786
+ {
787
+ "epoch": 2.47,
788
+ "learning_rate": 3.5332862855798637e-06,
789
+ "loss": 0.5754,
790
+ "step": 63000
791
+ },
792
+ {
793
+ "epoch": 2.49,
794
+ "learning_rate": 3.4025980814971643e-06,
795
+ "loss": 0.5832,
796
+ "step": 63500
797
+ },
798
+ {
799
+ "epoch": 2.51,
800
+ "learning_rate": 3.2719098774144648e-06,
801
+ "loss": 0.5653,
802
+ "step": 64000
803
+ },
804
+ {
805
+ "epoch": 2.53,
806
+ "learning_rate": 3.1412216733317653e-06,
807
+ "loss": 0.5635,
808
+ "step": 64500
809
+ },
810
+ {
811
+ "epoch": 2.55,
812
+ "learning_rate": 3.0105334692490658e-06,
813
+ "loss": 0.5743,
814
+ "step": 65000
815
+ },
816
+ {
817
+ "epoch": 2.57,
818
+ "learning_rate": 2.8798452651663663e-06,
819
+ "loss": 0.5633,
820
+ "step": 65500
821
+ },
822
+ {
823
+ "epoch": 2.59,
824
+ "learning_rate": 2.7491570610836672e-06,
825
+ "loss": 0.5741,
826
+ "step": 66000
827
+ },
828
+ {
829
+ "epoch": 2.61,
830
+ "learning_rate": 2.6184688570009677e-06,
831
+ "loss": 0.5691,
832
+ "step": 66500
833
+ },
834
+ {
835
+ "epoch": 2.63,
836
+ "learning_rate": 2.487780652918268e-06,
837
+ "loss": 0.5758,
838
+ "step": 67000
839
+ },
840
+ {
841
+ "epoch": 2.65,
842
+ "learning_rate": 2.3570924488355683e-06,
843
+ "loss": 0.5637,
844
+ "step": 67500
845
+ },
846
+ {
847
+ "epoch": 2.67,
848
+ "learning_rate": 2.226404244752869e-06,
849
+ "loss": 0.5753,
850
+ "step": 68000
851
+ },
852
+ {
853
+ "epoch": 2.69,
854
+ "learning_rate": 2.0957160406701694e-06,
855
+ "loss": 0.5763,
856
+ "step": 68500
857
+ },
858
+ {
859
+ "epoch": 2.71,
860
+ "learning_rate": 1.96502783658747e-06,
861
+ "loss": 0.5738,
862
+ "step": 69000
863
+ },
864
+ {
865
+ "epoch": 2.72,
866
+ "learning_rate": 1.8343396325047702e-06,
867
+ "loss": 0.5698,
868
+ "step": 69500
869
+ },
870
+ {
871
+ "epoch": 2.74,
872
+ "learning_rate": 1.7036514284220707e-06,
873
+ "loss": 0.5725,
874
+ "step": 70000
875
+ },
876
+ {
877
+ "epoch": 2.76,
878
+ "learning_rate": 1.5729632243393714e-06,
879
+ "loss": 0.5733,
880
+ "step": 70500
881
+ },
882
+ {
883
+ "epoch": 2.78,
884
+ "learning_rate": 1.442275020256672e-06,
885
+ "loss": 0.578,
886
+ "step": 71000
887
+ },
888
+ {
889
+ "epoch": 2.8,
890
+ "learning_rate": 1.3115868161739722e-06,
891
+ "loss": 0.5755,
892
+ "step": 71500
893
+ },
894
+ {
895
+ "epoch": 2.82,
896
+ "learning_rate": 1.1808986120912727e-06,
897
+ "loss": 0.5806,
898
+ "step": 72000
899
+ },
900
+ {
901
+ "epoch": 2.84,
902
+ "learning_rate": 1.0502104080085732e-06,
903
+ "loss": 0.5736,
904
+ "step": 72500
905
+ },
906
+ {
907
+ "epoch": 2.86,
908
+ "learning_rate": 9.195222039258737e-07,
909
+ "loss": 0.5665,
910
+ "step": 73000
911
+ },
912
+ {
913
+ "epoch": 2.88,
914
+ "learning_rate": 7.888339998431741e-07,
915
+ "loss": 0.5711,
916
+ "step": 73500
917
+ },
918
+ {
919
+ "epoch": 2.9,
920
+ "learning_rate": 6.581457957604747e-07,
921
+ "loss": 0.5699,
922
+ "step": 74000
923
+ },
924
+ {
925
+ "epoch": 2.92,
926
+ "learning_rate": 5.274575916777753e-07,
927
+ "loss": 0.5727,
928
+ "step": 74500
929
+ },
930
+ {
931
+ "epoch": 2.94,
932
+ "learning_rate": 3.967693875950757e-07,
933
+ "loss": 0.5702,
934
+ "step": 75000
935
+ },
936
+ {
937
+ "epoch": 2.96,
938
+ "learning_rate": 2.660811835123762e-07,
939
+ "loss": 0.5697,
940
+ "step": 75500
941
+ },
942
+ {
943
+ "epoch": 2.98,
944
+ "learning_rate": 1.3539297942967668e-07,
945
+ "loss": 0.5658,
946
+ "step": 76000
947
+ },
948
+ {
949
+ "epoch": 3.0,
950
+ "learning_rate": 4.704775346977182e-09,
951
+ "loss": 0.5692,
952
+ "step": 76500
953
+ },
954
+ {
955
+ "epoch": 3.0,
956
+ "eval_gen_len": 18.8131,
957
+ "eval_loss": 0.5340152382850647,
958
+ "eval_rouge1": 34.6791,
959
+ "eval_rouge2": 12.8236,
960
+ "eval_rougeL": 28.1201,
961
+ "eval_rougeLsum": 28.1241,
962
+ "eval_runtime": 1504.5288,
963
+ "eval_samples_per_second": 7.532,
964
+ "eval_steps_per_second": 1.883,
965
+ "step": 76518
966
+ }
967
+ ],
968
+ "max_steps": 76518,
969
+ "num_train_epochs": 3,
970
+ "total_flos": 3.727644383379456e+17,
971
+ "trial_name": null,
972
+ "trial_params": null
973
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:236f2c0af576db87bfc0927c49495cb90721ef763a4661f2fb9191a830470ddc
3
+ size 3579