aldrinc commited on
Commit
bb592ee
·
1 Parent(s): 021f780

Upload 9 files

Browse files
README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.5.0.dev0
adapter_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 32.0,
11
+ "lora_dropout": 0.1,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 8,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "v_proj"
19
+ ],
20
+ "task_type": "CAUSAL_LM"
21
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c0e123e159b38f0ab4cd12e68c55a5e839afc69985dbbce8e6d790545761b5d
3
+ size 26269517
finetuning_args.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "finetuning_type": "lora",
3
+ "lora_alpha": 32.0,
4
+ "lora_dropout": 0.1,
5
+ "lora_rank": 8,
6
+ "lora_target": [
7
+ "q_proj",
8
+ "v_proj"
9
+ ],
10
+ "name_module_trainable": "mlp",
11
+ "num_hidden_layers": 32,
12
+ "num_layer_trainable": 3
13
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1f9bf07aea94e5267e27d03706ba4f3f2f674122edabe52919482beb93a3bed
3
+ size 52562821
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d10474b483b829c252f5c1282d94c4ba4aa9c15f983649980500f210b28f4eb3
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bf52fdd7a00a8cd27fdd8deb02cde74ddf267e3710c3c0f8dce786dace7ca81
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,2656 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 49.858356940509914,
5
+ "global_step": 4400,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.11,
12
+ "learning_rate": 1.9999745104274995e-05,
13
+ "loss": 1.1665,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.23,
18
+ "learning_rate": 1.9998980430094333e-05,
19
+ "loss": 1.1142,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.34,
24
+ "learning_rate": 1.9997706016440462e-05,
25
+ "loss": 1.0657,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.45,
30
+ "learning_rate": 1.9995921928281893e-05,
31
+ "loss": 1.0229,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.57,
36
+ "learning_rate": 1.999362825656992e-05,
37
+ "loss": 1.0155,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.68,
42
+ "learning_rate": 1.9990825118233958e-05,
43
+ "loss": 0.9919,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.79,
48
+ "learning_rate": 1.9987512656175612e-05,
49
+ "loss": 0.9623,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.91,
54
+ "learning_rate": 1.9983691039261358e-05,
55
+ "loss": 0.937,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 1.02,
60
+ "learning_rate": 1.9979360462313965e-05,
61
+ "loss": 0.9527,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 1.13,
66
+ "learning_rate": 1.9974521146102535e-05,
67
+ "loss": 0.9173,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 1.25,
72
+ "learning_rate": 1.9969173337331283e-05,
73
+ "loss": 0.91,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 1.36,
78
+ "learning_rate": 1.9963317308626916e-05,
79
+ "loss": 0.9045,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 1.47,
84
+ "learning_rate": 1.9956953358524774e-05,
85
+ "loss": 0.94,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 1.59,
90
+ "learning_rate": 1.9950081811453598e-05,
91
+ "loss": 0.9086,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 1.7,
96
+ "learning_rate": 1.9942703017718977e-05,
97
+ "loss": 0.8946,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 1.81,
102
+ "learning_rate": 1.99348173534855e-05,
103
+ "loss": 0.8836,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 1.93,
108
+ "learning_rate": 1.9926425220757607e-05,
109
+ "loss": 0.9001,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 2.04,
114
+ "learning_rate": 1.991752704735903e-05,
115
+ "loss": 0.8826,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 2.15,
120
+ "learning_rate": 1.990812328691105e-05,
121
+ "loss": 0.8549,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 2.27,
126
+ "learning_rate": 1.989821441880933e-05,
127
+ "loss": 0.869,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 2.38,
132
+ "learning_rate": 1.9887800948199496e-05,
133
+ "loss": 0.8772,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 2.49,
138
+ "learning_rate": 1.9876883405951378e-05,
139
+ "loss": 0.8691,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 2.61,
144
+ "learning_rate": 1.9865462348631945e-05,
145
+ "loss": 0.8978,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 2.72,
150
+ "learning_rate": 1.9853538358476933e-05,
151
+ "loss": 0.8576,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 2.83,
156
+ "learning_rate": 1.984111204336116e-05,
157
+ "loss": 0.8506,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 2.95,
162
+ "learning_rate": 1.9828184036767556e-05,
163
+ "loss": 0.8679,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 3.06,
168
+ "learning_rate": 1.981475499775484e-05,
169
+ "loss": 0.888,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 3.17,
174
+ "learning_rate": 1.9800825610923937e-05,
175
+ "loss": 0.8369,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 3.29,
180
+ "learning_rate": 1.9786396586383078e-05,
181
+ "loss": 0.8244,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 3.4,
186
+ "learning_rate": 1.9771468659711595e-05,
187
+ "loss": 0.8495,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 3.51,
192
+ "learning_rate": 1.9756042591922436e-05,
193
+ "loss": 0.85,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 3.63,
198
+ "learning_rate": 1.9740119169423337e-05,
199
+ "loss": 0.8307,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 3.74,
204
+ "learning_rate": 1.9723699203976768e-05,
205
+ "loss": 0.8419,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 3.85,
210
+ "learning_rate": 1.9706783532658528e-05,
211
+ "loss": 0.8483,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 3.97,
216
+ "learning_rate": 1.9689373017815076e-05,
217
+ "loss": 0.8181,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 4.08,
222
+ "learning_rate": 1.9671468547019575e-05,
223
+ "loss": 0.8203,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 4.19,
228
+ "learning_rate": 1.9653071033026635e-05,
229
+ "loss": 0.8132,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 4.31,
234
+ "learning_rate": 1.963418141372579e-05,
235
+ "loss": 0.8299,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 4.42,
240
+ "learning_rate": 1.9614800652093685e-05,
241
+ "loss": 0.8228,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 4.53,
246
+ "learning_rate": 1.9594929736144978e-05,
247
+ "loss": 0.8083,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 4.65,
252
+ "learning_rate": 1.9574569678881965e-05,
253
+ "loss": 0.8054,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 4.76,
258
+ "learning_rate": 1.955372151824297e-05,
259
+ "loss": 0.8127,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 4.87,
264
+ "learning_rate": 1.9532386317049387e-05,
265
+ "loss": 0.8047,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 4.99,
270
+ "learning_rate": 1.9510565162951538e-05,
271
+ "loss": 0.8113,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 5.1,
276
+ "learning_rate": 1.9488259168373198e-05,
277
+ "loss": 0.7806,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 5.21,
282
+ "learning_rate": 1.94654694704549e-05,
283
+ "loss": 0.7973,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 5.33,
288
+ "learning_rate": 1.944219723099596e-05,
289
+ "loss": 0.7968,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 5.44,
294
+ "learning_rate": 1.941844363639525e-05,
295
+ "loss": 0.7838,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 5.55,
300
+ "learning_rate": 1.9394209897590707e-05,
301
+ "loss": 0.7798,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 5.67,
306
+ "learning_rate": 1.936949724999762e-05,
307
+ "loss": 0.7791,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 5.78,
312
+ "learning_rate": 1.9344306953445632e-05,
313
+ "loss": 0.7632,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 5.89,
318
+ "learning_rate": 1.9318640292114526e-05,
319
+ "loss": 0.7984,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 6.01,
324
+ "learning_rate": 1.929249857446875e-05,
325
+ "loss": 0.7763,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 6.12,
330
+ "learning_rate": 1.9265883133190715e-05,
331
+ "loss": 0.7489,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 6.23,
336
+ "learning_rate": 1.9238795325112867e-05,
337
+ "loss": 0.7739,
338
+ "step": 550
339
+ },
340
+ {
341
+ "epoch": 6.35,
342
+ "learning_rate": 1.92112365311485e-05,
343
+ "loss": 0.7664,
344
+ "step": 560
345
+ },
346
+ {
347
+ "epoch": 6.46,
348
+ "learning_rate": 1.918320815622137e-05,
349
+ "loss": 0.76,
350
+ "step": 570
351
+ },
352
+ {
353
+ "epoch": 6.57,
354
+ "learning_rate": 1.9154711629194062e-05,
355
+ "loss": 0.7604,
356
+ "step": 580
357
+ },
358
+ {
359
+ "epoch": 6.69,
360
+ "learning_rate": 1.912574840279516e-05,
361
+ "loss": 0.7598,
362
+ "step": 590
363
+ },
364
+ {
365
+ "epoch": 6.8,
366
+ "learning_rate": 1.9096319953545186e-05,
367
+ "loss": 0.7585,
368
+ "step": 600
369
+ },
370
+ {
371
+ "epoch": 6.91,
372
+ "learning_rate": 1.9066427781681314e-05,
373
+ "loss": 0.7312,
374
+ "step": 610
375
+ },
376
+ {
377
+ "epoch": 7.03,
378
+ "learning_rate": 1.9036073411080917e-05,
379
+ "loss": 0.732,
380
+ "step": 620
381
+ },
382
+ {
383
+ "epoch": 7.14,
384
+ "learning_rate": 1.900525838918385e-05,
385
+ "loss": 0.7392,
386
+ "step": 630
387
+ },
388
+ {
389
+ "epoch": 7.25,
390
+ "learning_rate": 1.8973984286913584e-05,
391
+ "loss": 0.6986,
392
+ "step": 640
393
+ },
394
+ {
395
+ "epoch": 7.37,
396
+ "learning_rate": 1.8942252698597113e-05,
397
+ "loss": 0.7281,
398
+ "step": 650
399
+ },
400
+ {
401
+ "epoch": 7.48,
402
+ "learning_rate": 1.891006524188368e-05,
403
+ "loss": 0.7316,
404
+ "step": 660
405
+ },
406
+ {
407
+ "epoch": 7.59,
408
+ "learning_rate": 1.8877423557662307e-05,
409
+ "loss": 0.7329,
410
+ "step": 670
411
+ },
412
+ {
413
+ "epoch": 7.71,
414
+ "learning_rate": 1.8844329309978146e-05,
415
+ "loss": 0.7409,
416
+ "step": 680
417
+ },
418
+ {
419
+ "epoch": 7.82,
420
+ "learning_rate": 1.8810784185947648e-05,
421
+ "loss": 0.7345,
422
+ "step": 690
423
+ },
424
+ {
425
+ "epoch": 7.93,
426
+ "learning_rate": 1.8776789895672557e-05,
427
+ "loss": 0.7418,
428
+ "step": 700
429
+ },
430
+ {
431
+ "epoch": 8.05,
432
+ "learning_rate": 1.8742348172152728e-05,
433
+ "loss": 0.7426,
434
+ "step": 710
435
+ },
436
+ {
437
+ "epoch": 8.16,
438
+ "learning_rate": 1.8707460771197773e-05,
439
+ "loss": 0.6952,
440
+ "step": 720
441
+ },
442
+ {
443
+ "epoch": 8.27,
444
+ "learning_rate": 1.8672129471337568e-05,
445
+ "loss": 0.7136,
446
+ "step": 730
447
+ },
448
+ {
449
+ "epoch": 8.39,
450
+ "learning_rate": 1.863635607373157e-05,
451
+ "loss": 0.7284,
452
+ "step": 740
453
+ },
454
+ {
455
+ "epoch": 8.5,
456
+ "learning_rate": 1.8600142402077006e-05,
457
+ "loss": 0.6978,
458
+ "step": 750
459
+ },
460
+ {
461
+ "epoch": 8.61,
462
+ "learning_rate": 1.856349030251589e-05,
463
+ "loss": 0.6843,
464
+ "step": 760
465
+ },
466
+ {
467
+ "epoch": 8.73,
468
+ "learning_rate": 1.8526401643540924e-05,
469
+ "loss": 0.6895,
470
+ "step": 770
471
+ },
472
+ {
473
+ "epoch": 8.84,
474
+ "learning_rate": 1.8488878315900228e-05,
475
+ "loss": 0.7084,
476
+ "step": 780
477
+ },
478
+ {
479
+ "epoch": 8.95,
480
+ "learning_rate": 1.8450922232500966e-05,
481
+ "loss": 0.7028,
482
+ "step": 790
483
+ },
484
+ {
485
+ "epoch": 9.07,
486
+ "learning_rate": 1.8412535328311813e-05,
487
+ "loss": 0.6905,
488
+ "step": 800
489
+ },
490
+ {
491
+ "epoch": 9.18,
492
+ "learning_rate": 1.837371956026433e-05,
493
+ "loss": 0.6851,
494
+ "step": 810
495
+ },
496
+ {
497
+ "epoch": 9.29,
498
+ "learning_rate": 1.8334476907153177e-05,
499
+ "loss": 0.6759,
500
+ "step": 820
501
+ },
502
+ {
503
+ "epoch": 9.41,
504
+ "learning_rate": 1.8294809369535265e-05,
505
+ "loss": 0.6613,
506
+ "step": 830
507
+ },
508
+ {
509
+ "epoch": 9.52,
510
+ "learning_rate": 1.825471896962774e-05,
511
+ "loss": 0.6814,
512
+ "step": 840
513
+ },
514
+ {
515
+ "epoch": 9.63,
516
+ "learning_rate": 1.8214207751204917e-05,
517
+ "loss": 0.7044,
518
+ "step": 850
519
+ },
520
+ {
521
+ "epoch": 9.75,
522
+ "learning_rate": 1.817327777949407e-05,
523
+ "loss": 0.6753,
524
+ "step": 860
525
+ },
526
+ {
527
+ "epoch": 9.86,
528
+ "learning_rate": 1.8131931141070166e-05,
529
+ "loss": 0.6748,
530
+ "step": 870
531
+ },
532
+ {
533
+ "epoch": 9.97,
534
+ "learning_rate": 1.8090169943749477e-05,
535
+ "loss": 0.6853,
536
+ "step": 880
537
+ },
538
+ {
539
+ "epoch": 10.08,
540
+ "learning_rate": 1.8047996316482134e-05,
541
+ "loss": 0.6406,
542
+ "step": 890
543
+ },
544
+ {
545
+ "epoch": 10.2,
546
+ "learning_rate": 1.8005412409243604e-05,
547
+ "loss": 0.6391,
548
+ "step": 900
549
+ },
550
+ {
551
+ "epoch": 10.31,
552
+ "learning_rate": 1.7962420392925066e-05,
553
+ "loss": 0.6524,
554
+ "step": 910
555
+ },
556
+ {
557
+ "epoch": 10.42,
558
+ "learning_rate": 1.7919022459222754e-05,
559
+ "loss": 0.6618,
560
+ "step": 920
561
+ },
562
+ {
563
+ "epoch": 10.54,
564
+ "learning_rate": 1.787522082052622e-05,
565
+ "loss": 0.6604,
566
+ "step": 930
567
+ },
568
+ {
569
+ "epoch": 10.65,
570
+ "learning_rate": 1.7831017709805555e-05,
571
+ "loss": 0.6706,
572
+ "step": 940
573
+ },
574
+ {
575
+ "epoch": 10.76,
576
+ "learning_rate": 1.778641538049755e-05,
577
+ "loss": 0.6589,
578
+ "step": 950
579
+ },
580
+ {
581
+ "epoch": 10.88,
582
+ "learning_rate": 1.7741416106390828e-05,
583
+ "loss": 0.6631,
584
+ "step": 960
585
+ },
586
+ {
587
+ "epoch": 10.99,
588
+ "learning_rate": 1.7696022181509892e-05,
589
+ "loss": 0.6408,
590
+ "step": 970
591
+ },
592
+ {
593
+ "epoch": 11.1,
594
+ "learning_rate": 1.7650235919998234e-05,
595
+ "loss": 0.6077,
596
+ "step": 980
597
+ },
598
+ {
599
+ "epoch": 11.22,
600
+ "learning_rate": 1.7604059656000313e-05,
601
+ "loss": 0.6267,
602
+ "step": 990
603
+ },
604
+ {
605
+ "epoch": 11.33,
606
+ "learning_rate": 1.7557495743542586e-05,
607
+ "loss": 0.6324,
608
+ "step": 1000
609
+ },
610
+ {
611
+ "epoch": 11.44,
612
+ "learning_rate": 1.75105465564135e-05,
613
+ "loss": 0.645,
614
+ "step": 1010
615
+ },
616
+ {
617
+ "epoch": 11.56,
618
+ "learning_rate": 1.7463214488042472e-05,
619
+ "loss": 0.6167,
620
+ "step": 1020
621
+ },
622
+ {
623
+ "epoch": 11.67,
624
+ "learning_rate": 1.741550195137788e-05,
625
+ "loss": 0.6311,
626
+ "step": 1030
627
+ },
628
+ {
629
+ "epoch": 11.78,
630
+ "learning_rate": 1.736741137876405e-05,
631
+ "loss": 0.6329,
632
+ "step": 1040
633
+ },
634
+ {
635
+ "epoch": 11.9,
636
+ "learning_rate": 1.7318945221817255e-05,
637
+ "loss": 0.6469,
638
+ "step": 1050
639
+ },
640
+ {
641
+ "epoch": 12.01,
642
+ "learning_rate": 1.727010595130074e-05,
643
+ "loss": 0.6334,
644
+ "step": 1060
645
+ },
646
+ {
647
+ "epoch": 12.12,
648
+ "learning_rate": 1.7220896056998753e-05,
649
+ "loss": 0.5946,
650
+ "step": 1070
651
+ },
652
+ {
653
+ "epoch": 12.24,
654
+ "learning_rate": 1.7171318047589637e-05,
655
+ "loss": 0.5695,
656
+ "step": 1080
657
+ },
658
+ {
659
+ "epoch": 12.35,
660
+ "learning_rate": 1.712137445051792e-05,
661
+ "loss": 0.6101,
662
+ "step": 1090
663
+ },
664
+ {
665
+ "epoch": 12.46,
666
+ "learning_rate": 1.7071067811865477e-05,
667
+ "loss": 0.6203,
668
+ "step": 1100
669
+ },
670
+ {
671
+ "epoch": 12.58,
672
+ "learning_rate": 1.7020400696221737e-05,
673
+ "loss": 0.598,
674
+ "step": 1110
675
+ },
676
+ {
677
+ "epoch": 12.69,
678
+ "learning_rate": 1.696937568655294e-05,
679
+ "loss": 0.6177,
680
+ "step": 1120
681
+ },
682
+ {
683
+ "epoch": 12.8,
684
+ "learning_rate": 1.691799538407044e-05,
685
+ "loss": 0.6153,
686
+ "step": 1130
687
+ },
688
+ {
689
+ "epoch": 12.92,
690
+ "learning_rate": 1.6866262408098134e-05,
691
+ "loss": 0.6096,
692
+ "step": 1140
693
+ },
694
+ {
695
+ "epoch": 13.03,
696
+ "learning_rate": 1.6814179395938915e-05,
697
+ "loss": 0.612,
698
+ "step": 1150
699
+ },
700
+ {
701
+ "epoch": 13.14,
702
+ "learning_rate": 1.6761749002740195e-05,
703
+ "loss": 0.5858,
704
+ "step": 1160
705
+ },
706
+ {
707
+ "epoch": 13.26,
708
+ "learning_rate": 1.6708973901358603e-05,
709
+ "loss": 0.5715,
710
+ "step": 1170
711
+ },
712
+ {
713
+ "epoch": 13.37,
714
+ "learning_rate": 1.6655856782223682e-05,
715
+ "loss": 0.5834,
716
+ "step": 1180
717
+ },
718
+ {
719
+ "epoch": 13.48,
720
+ "learning_rate": 1.660240035320075e-05,
721
+ "loss": 0.5782,
722
+ "step": 1190
723
+ },
724
+ {
725
+ "epoch": 13.6,
726
+ "learning_rate": 1.6548607339452853e-05,
727
+ "loss": 0.5621,
728
+ "step": 1200
729
+ },
730
+ {
731
+ "epoch": 13.71,
732
+ "learning_rate": 1.6494480483301836e-05,
733
+ "loss": 0.5729,
734
+ "step": 1210
735
+ },
736
+ {
737
+ "epoch": 13.82,
738
+ "learning_rate": 1.6440022544088553e-05,
739
+ "loss": 0.5958,
740
+ "step": 1220
741
+ },
742
+ {
743
+ "epoch": 13.94,
744
+ "learning_rate": 1.6385236298032183e-05,
745
+ "loss": 0.6007,
746
+ "step": 1230
747
+ },
748
+ {
749
+ "epoch": 14.05,
750
+ "learning_rate": 1.6330124538088705e-05,
751
+ "loss": 0.5658,
752
+ "step": 1240
753
+ },
754
+ {
755
+ "epoch": 14.16,
756
+ "learning_rate": 1.627469007380852e-05,
757
+ "loss": 0.5674,
758
+ "step": 1250
759
+ },
760
+ {
761
+ "epoch": 14.28,
762
+ "learning_rate": 1.6218935731193223e-05,
763
+ "loss": 0.5649,
764
+ "step": 1260
765
+ },
766
+ {
767
+ "epoch": 14.39,
768
+ "learning_rate": 1.616286435255153e-05,
769
+ "loss": 0.5497,
770
+ "step": 1270
771
+ },
772
+ {
773
+ "epoch": 14.5,
774
+ "learning_rate": 1.6106478796354382e-05,
775
+ "loss": 0.5865,
776
+ "step": 1280
777
+ },
778
+ {
779
+ "epoch": 14.62,
780
+ "learning_rate": 1.6049781937089227e-05,
781
+ "loss": 0.547,
782
+ "step": 1290
783
+ },
784
+ {
785
+ "epoch": 14.73,
786
+ "learning_rate": 1.599277666511347e-05,
787
+ "loss": 0.5473,
788
+ "step": 1300
789
+ },
790
+ {
791
+ "epoch": 14.84,
792
+ "learning_rate": 1.5935465886507143e-05,
793
+ "loss": 0.5553,
794
+ "step": 1310
795
+ },
796
+ {
797
+ "epoch": 14.96,
798
+ "learning_rate": 1.5877852522924733e-05,
799
+ "loss": 0.5672,
800
+ "step": 1320
801
+ },
802
+ {
803
+ "epoch": 15.07,
804
+ "learning_rate": 1.581993951144626e-05,
805
+ "loss": 0.5392,
806
+ "step": 1330
807
+ },
808
+ {
809
+ "epoch": 15.18,
810
+ "learning_rate": 1.576172980442753e-05,
811
+ "loss": 0.504,
812
+ "step": 1340
813
+ },
814
+ {
815
+ "epoch": 15.3,
816
+ "learning_rate": 1.5703226369349642e-05,
817
+ "loss": 0.5446,
818
+ "step": 1350
819
+ },
820
+ {
821
+ "epoch": 15.41,
822
+ "learning_rate": 1.5644432188667695e-05,
823
+ "loss": 0.5323,
824
+ "step": 1360
825
+ },
826
+ {
827
+ "epoch": 15.52,
828
+ "learning_rate": 1.5585350259658748e-05,
829
+ "loss": 0.54,
830
+ "step": 1370
831
+ },
832
+ {
833
+ "epoch": 15.64,
834
+ "learning_rate": 1.5525983594269026e-05,
835
+ "loss": 0.5387,
836
+ "step": 1380
837
+ },
838
+ {
839
+ "epoch": 15.75,
840
+ "learning_rate": 1.546633521896038e-05,
841
+ "loss": 0.5349,
842
+ "step": 1390
843
+ },
844
+ {
845
+ "epoch": 15.86,
846
+ "learning_rate": 1.5406408174555978e-05,
847
+ "loss": 0.5303,
848
+ "step": 1400
849
+ },
850
+ {
851
+ "epoch": 15.98,
852
+ "learning_rate": 1.5346205516085305e-05,
853
+ "loss": 0.561,
854
+ "step": 1410
855
+ },
856
+ {
857
+ "epoch": 16.09,
858
+ "learning_rate": 1.528573031262842e-05,
859
+ "loss": 0.5295,
860
+ "step": 1420
861
+ },
862
+ {
863
+ "epoch": 16.2,
864
+ "learning_rate": 1.5224985647159489e-05,
865
+ "loss": 0.4995,
866
+ "step": 1430
867
+ },
868
+ {
869
+ "epoch": 16.32,
870
+ "learning_rate": 1.5163974616389621e-05,
871
+ "loss": 0.5151,
872
+ "step": 1440
873
+ },
874
+ {
875
+ "epoch": 16.43,
876
+ "learning_rate": 1.5102700330609e-05,
877
+ "loss": 0.5042,
878
+ "step": 1450
879
+ },
880
+ {
881
+ "epoch": 16.54,
882
+ "learning_rate": 1.504116591352832e-05,
883
+ "loss": 0.502,
884
+ "step": 1460
885
+ },
886
+ {
887
+ "epoch": 16.66,
888
+ "learning_rate": 1.497937450211956e-05,
889
+ "loss": 0.5101,
890
+ "step": 1470
891
+ },
892
+ {
893
+ "epoch": 16.77,
894
+ "learning_rate": 1.491732924645604e-05,
895
+ "loss": 0.5323,
896
+ "step": 1480
897
+ },
898
+ {
899
+ "epoch": 16.88,
900
+ "learning_rate": 1.4855033309551842e-05,
901
+ "loss": 0.509,
902
+ "step": 1490
903
+ },
904
+ {
905
+ "epoch": 17.0,
906
+ "learning_rate": 1.479248986720057e-05,
907
+ "loss": 0.5292,
908
+ "step": 1500
909
+ },
910
+ {
911
+ "epoch": 17.11,
912
+ "learning_rate": 1.4729702107813438e-05,
913
+ "loss": 0.4835,
914
+ "step": 1510
915
+ },
916
+ {
917
+ "epoch": 17.22,
918
+ "learning_rate": 1.4666673232256738e-05,
919
+ "loss": 0.4934,
920
+ "step": 1520
921
+ },
922
+ {
923
+ "epoch": 17.34,
924
+ "learning_rate": 1.4603406453688656e-05,
925
+ "loss": 0.4811,
926
+ "step": 1530
927
+ },
928
+ {
929
+ "epoch": 17.45,
930
+ "learning_rate": 1.4539904997395468e-05,
931
+ "loss": 0.4966,
932
+ "step": 1540
933
+ },
934
+ {
935
+ "epoch": 17.56,
936
+ "learning_rate": 1.4476172100627127e-05,
937
+ "loss": 0.4906,
938
+ "step": 1550
939
+ },
940
+ {
941
+ "epoch": 17.68,
942
+ "learning_rate": 1.4412211012432213e-05,
943
+ "loss": 0.4956,
944
+ "step": 1560
945
+ },
946
+ {
947
+ "epoch": 17.79,
948
+ "learning_rate": 1.4348024993492323e-05,
949
+ "loss": 0.5003,
950
+ "step": 1570
951
+ },
952
+ {
953
+ "epoch": 17.9,
954
+ "learning_rate": 1.4283617315955815e-05,
955
+ "loss": 0.5131,
956
+ "step": 1580
957
+ },
958
+ {
959
+ "epoch": 18.02,
960
+ "learning_rate": 1.4218991263271024e-05,
961
+ "loss": 0.4642,
962
+ "step": 1590
963
+ },
964
+ {
965
+ "epoch": 18.13,
966
+ "learning_rate": 1.4154150130018867e-05,
967
+ "loss": 0.4679,
968
+ "step": 1600
969
+ },
970
+ {
971
+ "epoch": 18.24,
972
+ "learning_rate": 1.408909722174487e-05,
973
+ "loss": 0.4555,
974
+ "step": 1610
975
+ },
976
+ {
977
+ "epoch": 18.36,
978
+ "learning_rate": 1.4023835854790682e-05,
979
+ "loss": 0.4663,
980
+ "step": 1620
981
+ },
982
+ {
983
+ "epoch": 18.47,
984
+ "learning_rate": 1.3958369356124986e-05,
985
+ "loss": 0.4991,
986
+ "step": 1630
987
+ },
988
+ {
989
+ "epoch": 18.58,
990
+ "learning_rate": 1.3892701063173917e-05,
991
+ "loss": 0.4592,
992
+ "step": 1640
993
+ },
994
+ {
995
+ "epoch": 18.7,
996
+ "learning_rate": 1.3826834323650899e-05,
997
+ "loss": 0.4697,
998
+ "step": 1650
999
+ },
1000
+ {
1001
+ "epoch": 18.81,
1002
+ "learning_rate": 1.3760772495385998e-05,
1003
+ "loss": 0.4812,
1004
+ "step": 1660
1005
+ },
1006
+ {
1007
+ "epoch": 18.92,
1008
+ "learning_rate": 1.369451894615474e-05,
1009
+ "loss": 0.4868,
1010
+ "step": 1670
1011
+ },
1012
+ {
1013
+ "epoch": 19.04,
1014
+ "learning_rate": 1.362807705350641e-05,
1015
+ "loss": 0.4511,
1016
+ "step": 1680
1017
+ },
1018
+ {
1019
+ "epoch": 19.15,
1020
+ "learning_rate": 1.3561450204591898e-05,
1021
+ "loss": 0.4332,
1022
+ "step": 1690
1023
+ },
1024
+ {
1025
+ "epoch": 19.26,
1026
+ "learning_rate": 1.3494641795990986e-05,
1027
+ "loss": 0.4392,
1028
+ "step": 1700
1029
+ },
1030
+ {
1031
+ "epoch": 19.38,
1032
+ "learning_rate": 1.3427655233539227e-05,
1033
+ "loss": 0.435,
1034
+ "step": 1710
1035
+ },
1036
+ {
1037
+ "epoch": 19.49,
1038
+ "learning_rate": 1.3360493932154301e-05,
1039
+ "loss": 0.4377,
1040
+ "step": 1720
1041
+ },
1042
+ {
1043
+ "epoch": 19.6,
1044
+ "learning_rate": 1.3293161315661934e-05,
1045
+ "loss": 0.4509,
1046
+ "step": 1730
1047
+ },
1048
+ {
1049
+ "epoch": 19.72,
1050
+ "learning_rate": 1.3225660816621342e-05,
1051
+ "loss": 0.4564,
1052
+ "step": 1740
1053
+ },
1054
+ {
1055
+ "epoch": 19.83,
1056
+ "learning_rate": 1.3157995876150252e-05,
1057
+ "loss": 0.471,
1058
+ "step": 1750
1059
+ },
1060
+ {
1061
+ "epoch": 19.94,
1062
+ "learning_rate": 1.3090169943749475e-05,
1063
+ "loss": 0.4759,
1064
+ "step": 1760
1065
+ },
1066
+ {
1067
+ "epoch": 20.06,
1068
+ "learning_rate": 1.302218647712706e-05,
1069
+ "loss": 0.454,
1070
+ "step": 1770
1071
+ },
1072
+ {
1073
+ "epoch": 20.17,
1074
+ "learning_rate": 1.2954048942022002e-05,
1075
+ "loss": 0.3999,
1076
+ "step": 1780
1077
+ },
1078
+ {
1079
+ "epoch": 20.28,
1080
+ "learning_rate": 1.288576081202759e-05,
1081
+ "loss": 0.415,
1082
+ "step": 1790
1083
+ },
1084
+ {
1085
+ "epoch": 20.4,
1086
+ "learning_rate": 1.2817325568414299e-05,
1087
+ "loss": 0.4349,
1088
+ "step": 1800
1089
+ },
1090
+ {
1091
+ "epoch": 20.51,
1092
+ "learning_rate": 1.2748746699952338e-05,
1093
+ "loss": 0.4281,
1094
+ "step": 1810
1095
+ },
1096
+ {
1097
+ "epoch": 20.62,
1098
+ "learning_rate": 1.2680027702733791e-05,
1099
+ "loss": 0.4391,
1100
+ "step": 1820
1101
+ },
1102
+ {
1103
+ "epoch": 20.74,
1104
+ "learning_rate": 1.2611172079994377e-05,
1105
+ "loss": 0.4288,
1106
+ "step": 1830
1107
+ },
1108
+ {
1109
+ "epoch": 20.85,
1110
+ "learning_rate": 1.2542183341934873e-05,
1111
+ "loss": 0.4562,
1112
+ "step": 1840
1113
+ },
1114
+ {
1115
+ "epoch": 20.96,
1116
+ "learning_rate": 1.2473065005542155e-05,
1117
+ "loss": 0.4294,
1118
+ "step": 1850
1119
+ },
1120
+ {
1121
+ "epoch": 21.08,
1122
+ "learning_rate": 1.2403820594409926e-05,
1123
+ "loss": 0.4147,
1124
+ "step": 1860
1125
+ },
1126
+ {
1127
+ "epoch": 21.19,
1128
+ "learning_rate": 1.2334453638559057e-05,
1129
+ "loss": 0.4003,
1130
+ "step": 1870
1131
+ },
1132
+ {
1133
+ "epoch": 21.3,
1134
+ "learning_rate": 1.2264967674257647e-05,
1135
+ "loss": 0.402,
1136
+ "step": 1880
1137
+ },
1138
+ {
1139
+ "epoch": 21.42,
1140
+ "learning_rate": 1.2195366243840745e-05,
1141
+ "loss": 0.3808,
1142
+ "step": 1890
1143
+ },
1144
+ {
1145
+ "epoch": 21.53,
1146
+ "learning_rate": 1.2125652895529766e-05,
1147
+ "loss": 0.4199,
1148
+ "step": 1900
1149
+ },
1150
+ {
1151
+ "epoch": 21.64,
1152
+ "learning_rate": 1.2055831183251608e-05,
1153
+ "loss": 0.4153,
1154
+ "step": 1910
1155
+ },
1156
+ {
1157
+ "epoch": 21.76,
1158
+ "learning_rate": 1.1985904666457455e-05,
1159
+ "loss": 0.4206,
1160
+ "step": 1920
1161
+ },
1162
+ {
1163
+ "epoch": 21.87,
1164
+ "learning_rate": 1.1915876909941356e-05,
1165
+ "loss": 0.4326,
1166
+ "step": 1930
1167
+ },
1168
+ {
1169
+ "epoch": 21.98,
1170
+ "learning_rate": 1.1845751483658454e-05,
1171
+ "loss": 0.4263,
1172
+ "step": 1940
1173
+ },
1174
+ {
1175
+ "epoch": 22.1,
1176
+ "learning_rate": 1.1775531962543036e-05,
1177
+ "loss": 0.3938,
1178
+ "step": 1950
1179
+ },
1180
+ {
1181
+ "epoch": 22.21,
1182
+ "learning_rate": 1.170522192632624e-05,
1183
+ "loss": 0.3748,
1184
+ "step": 1960
1185
+ },
1186
+ {
1187
+ "epoch": 22.32,
1188
+ "learning_rate": 1.1634824959353602e-05,
1189
+ "loss": 0.3757,
1190
+ "step": 1970
1191
+ },
1192
+ {
1193
+ "epoch": 22.44,
1194
+ "learning_rate": 1.156434465040231e-05,
1195
+ "loss": 0.3876,
1196
+ "step": 1980
1197
+ },
1198
+ {
1199
+ "epoch": 22.55,
1200
+ "learning_rate": 1.1493784592498252e-05,
1201
+ "loss": 0.395,
1202
+ "step": 1990
1203
+ },
1204
+ {
1205
+ "epoch": 22.66,
1206
+ "learning_rate": 1.1423148382732854e-05,
1207
+ "loss": 0.3938,
1208
+ "step": 2000
1209
+ },
1210
+ {
1211
+ "epoch": 22.78,
1212
+ "learning_rate": 1.1352439622079689e-05,
1213
+ "loss": 0.4146,
1214
+ "step": 2010
1215
+ },
1216
+ {
1217
+ "epoch": 22.89,
1218
+ "learning_rate": 1.1281661915210931e-05,
1219
+ "loss": 0.4206,
1220
+ "step": 2020
1221
+ },
1222
+ {
1223
+ "epoch": 23.0,
1224
+ "learning_rate": 1.1210818870313548e-05,
1225
+ "loss": 0.3975,
1226
+ "step": 2030
1227
+ },
1228
+ {
1229
+ "epoch": 23.12,
1230
+ "learning_rate": 1.1139914098905406e-05,
1231
+ "loss": 0.3613,
1232
+ "step": 2040
1233
+ },
1234
+ {
1235
+ "epoch": 23.23,
1236
+ "learning_rate": 1.1068951215651132e-05,
1237
+ "loss": 0.3572,
1238
+ "step": 2050
1239
+ },
1240
+ {
1241
+ "epoch": 23.34,
1242
+ "learning_rate": 1.0997933838177828e-05,
1243
+ "loss": 0.3773,
1244
+ "step": 2060
1245
+ },
1246
+ {
1247
+ "epoch": 23.46,
1248
+ "learning_rate": 1.0926865586890689e-05,
1249
+ "loss": 0.3846,
1250
+ "step": 2070
1251
+ },
1252
+ {
1253
+ "epoch": 23.57,
1254
+ "learning_rate": 1.08557500847884e-05,
1255
+ "loss": 0.3758,
1256
+ "step": 2080
1257
+ },
1258
+ {
1259
+ "epoch": 23.68,
1260
+ "learning_rate": 1.0784590957278452e-05,
1261
+ "loss": 0.393,
1262
+ "step": 2090
1263
+ },
1264
+ {
1265
+ "epoch": 23.8,
1266
+ "learning_rate": 1.0713391831992324e-05,
1267
+ "loss": 0.3699,
1268
+ "step": 2100
1269
+ },
1270
+ {
1271
+ "epoch": 23.91,
1272
+ "learning_rate": 1.064215633860055e-05,
1273
+ "loss": 0.3639,
1274
+ "step": 2110
1275
+ },
1276
+ {
1277
+ "epoch": 24.02,
1278
+ "learning_rate": 1.0570888108627682e-05,
1279
+ "loss": 0.3869,
1280
+ "step": 2120
1281
+ },
1282
+ {
1283
+ "epoch": 24.14,
1284
+ "learning_rate": 1.0499590775267142e-05,
1285
+ "loss": 0.3387,
1286
+ "step": 2130
1287
+ },
1288
+ {
1289
+ "epoch": 24.25,
1290
+ "learning_rate": 1.0428267973196027e-05,
1291
+ "loss": 0.3507,
1292
+ "step": 2140
1293
+ },
1294
+ {
1295
+ "epoch": 24.36,
1296
+ "learning_rate": 1.0356923338389807e-05,
1297
+ "loss": 0.3424,
1298
+ "step": 2150
1299
+ },
1300
+ {
1301
+ "epoch": 24.48,
1302
+ "learning_rate": 1.0285560507936962e-05,
1303
+ "loss": 0.3615,
1304
+ "step": 2160
1305
+ },
1306
+ {
1307
+ "epoch": 24.59,
1308
+ "learning_rate": 1.0214183119853583e-05,
1309
+ "loss": 0.3585,
1310
+ "step": 2170
1311
+ },
1312
+ {
1313
+ "epoch": 24.7,
1314
+ "learning_rate": 1.0142794812897874e-05,
1315
+ "loss": 0.3519,
1316
+ "step": 2180
1317
+ },
1318
+ {
1319
+ "epoch": 24.82,
1320
+ "learning_rate": 1.0071399226384695e-05,
1321
+ "loss": 0.3734,
1322
+ "step": 2190
1323
+ },
1324
+ {
1325
+ "epoch": 24.93,
1326
+ "learning_rate": 1e-05,
1327
+ "loss": 0.3788,
1328
+ "step": 2200
1329
+ },
1330
+ {
1331
+ "epoch": 25.04,
1332
+ "learning_rate": 9.928600773615306e-06,
1333
+ "loss": 0.3616,
1334
+ "step": 2210
1335
+ },
1336
+ {
1337
+ "epoch": 25.16,
1338
+ "learning_rate": 9.85720518710213e-06,
1339
+ "loss": 0.3345,
1340
+ "step": 2220
1341
+ },
1342
+ {
1343
+ "epoch": 25.27,
1344
+ "learning_rate": 9.78581688014642e-06,
1345
+ "loss": 0.3483,
1346
+ "step": 2230
1347
+ },
1348
+ {
1349
+ "epoch": 25.38,
1350
+ "learning_rate": 9.71443949206304e-06,
1351
+ "loss": 0.327,
1352
+ "step": 2240
1353
+ },
1354
+ {
1355
+ "epoch": 25.5,
1356
+ "learning_rate": 9.643076661610197e-06,
1357
+ "loss": 0.3422,
1358
+ "step": 2250
1359
+ },
1360
+ {
1361
+ "epoch": 25.61,
1362
+ "learning_rate": 9.571732026803978e-06,
1363
+ "loss": 0.3472,
1364
+ "step": 2260
1365
+ },
1366
+ {
1367
+ "epoch": 25.72,
1368
+ "learning_rate": 9.500409224732863e-06,
1369
+ "loss": 0.3475,
1370
+ "step": 2270
1371
+ },
1372
+ {
1373
+ "epoch": 25.84,
1374
+ "learning_rate": 9.42911189137232e-06,
1375
+ "loss": 0.3507,
1376
+ "step": 2280
1377
+ },
1378
+ {
1379
+ "epoch": 25.95,
1380
+ "learning_rate": 9.357843661399447e-06,
1381
+ "loss": 0.3534,
1382
+ "step": 2290
1383
+ },
1384
+ {
1385
+ "epoch": 26.06,
1386
+ "learning_rate": 9.286608168007678e-06,
1387
+ "loss": 0.3295,
1388
+ "step": 2300
1389
+ },
1390
+ {
1391
+ "epoch": 26.18,
1392
+ "learning_rate": 9.215409042721553e-06,
1393
+ "loss": 0.3187,
1394
+ "step": 2310
1395
+ },
1396
+ {
1397
+ "epoch": 26.29,
1398
+ "learning_rate": 9.144249915211605e-06,
1399
+ "loss": 0.3465,
1400
+ "step": 2320
1401
+ },
1402
+ {
1403
+ "epoch": 26.4,
1404
+ "learning_rate": 9.073134413109313e-06,
1405
+ "loss": 0.3262,
1406
+ "step": 2330
1407
+ },
1408
+ {
1409
+ "epoch": 26.52,
1410
+ "learning_rate": 9.002066161822174e-06,
1411
+ "loss": 0.3154,
1412
+ "step": 2340
1413
+ },
1414
+ {
1415
+ "epoch": 26.63,
1416
+ "learning_rate": 8.931048784348875e-06,
1417
+ "loss": 0.3277,
1418
+ "step": 2350
1419
+ },
1420
+ {
1421
+ "epoch": 26.74,
1422
+ "learning_rate": 8.860085901094595e-06,
1423
+ "loss": 0.3387,
1424
+ "step": 2360
1425
+ },
1426
+ {
1427
+ "epoch": 26.86,
1428
+ "learning_rate": 8.789181129686452e-06,
1429
+ "loss": 0.323,
1430
+ "step": 2370
1431
+ },
1432
+ {
1433
+ "epoch": 26.97,
1434
+ "learning_rate": 8.718338084789074e-06,
1435
+ "loss": 0.3243,
1436
+ "step": 2380
1437
+ },
1438
+ {
1439
+ "epoch": 27.08,
1440
+ "learning_rate": 8.647560377920311e-06,
1441
+ "loss": 0.3112,
1442
+ "step": 2390
1443
+ },
1444
+ {
1445
+ "epoch": 27.2,
1446
+ "learning_rate": 8.576851617267151e-06,
1447
+ "loss": 0.3138,
1448
+ "step": 2400
1449
+ },
1450
+ {
1451
+ "epoch": 27.31,
1452
+ "learning_rate": 8.50621540750175e-06,
1453
+ "loss": 0.294,
1454
+ "step": 2410
1455
+ },
1456
+ {
1457
+ "epoch": 27.42,
1458
+ "learning_rate": 8.43565534959769e-06,
1459
+ "loss": 0.3009,
1460
+ "step": 2420
1461
+ },
1462
+ {
1463
+ "epoch": 27.54,
1464
+ "learning_rate": 8.365175040646403e-06,
1465
+ "loss": 0.3217,
1466
+ "step": 2430
1467
+ },
1468
+ {
1469
+ "epoch": 27.65,
1470
+ "learning_rate": 8.294778073673762e-06,
1471
+ "loss": 0.3083,
1472
+ "step": 2440
1473
+ },
1474
+ {
1475
+ "epoch": 27.76,
1476
+ "learning_rate": 8.224468037456969e-06,
1477
+ "loss": 0.3201,
1478
+ "step": 2450
1479
+ },
1480
+ {
1481
+ "epoch": 27.88,
1482
+ "learning_rate": 8.154248516341547e-06,
1483
+ "loss": 0.3402,
1484
+ "step": 2460
1485
+ },
1486
+ {
1487
+ "epoch": 27.99,
1488
+ "learning_rate": 8.084123090058646e-06,
1489
+ "loss": 0.3128,
1490
+ "step": 2470
1491
+ },
1492
+ {
1493
+ "epoch": 28.1,
1494
+ "learning_rate": 8.014095333542548e-06,
1495
+ "loss": 0.2901,
1496
+ "step": 2480
1497
+ },
1498
+ {
1499
+ "epoch": 28.22,
1500
+ "learning_rate": 7.944168816748396e-06,
1501
+ "loss": 0.2901,
1502
+ "step": 2490
1503
+ },
1504
+ {
1505
+ "epoch": 28.33,
1506
+ "learning_rate": 7.874347104470234e-06,
1507
+ "loss": 0.2886,
1508
+ "step": 2500
1509
+ },
1510
+ {
1511
+ "epoch": 28.44,
1512
+ "learning_rate": 7.804633756159258e-06,
1513
+ "loss": 0.2953,
1514
+ "step": 2510
1515
+ },
1516
+ {
1517
+ "epoch": 28.56,
1518
+ "learning_rate": 7.735032325742355e-06,
1519
+ "loss": 0.3088,
1520
+ "step": 2520
1521
+ },
1522
+ {
1523
+ "epoch": 28.67,
1524
+ "learning_rate": 7.66554636144095e-06,
1525
+ "loss": 0.3004,
1526
+ "step": 2530
1527
+ },
1528
+ {
1529
+ "epoch": 28.78,
1530
+ "learning_rate": 7.596179405590076e-06,
1531
+ "loss": 0.3299,
1532
+ "step": 2540
1533
+ },
1534
+ {
1535
+ "epoch": 28.9,
1536
+ "learning_rate": 7.5269349944578454e-06,
1537
+ "loss": 0.294,
1538
+ "step": 2550
1539
+ },
1540
+ {
1541
+ "epoch": 29.01,
1542
+ "learning_rate": 7.4578166580651335e-06,
1543
+ "loss": 0.2974,
1544
+ "step": 2560
1545
+ },
1546
+ {
1547
+ "epoch": 29.12,
1548
+ "learning_rate": 7.388827920005628e-06,
1549
+ "loss": 0.2773,
1550
+ "step": 2570
1551
+ },
1552
+ {
1553
+ "epoch": 29.24,
1554
+ "learning_rate": 7.319972297266215e-06,
1555
+ "loss": 0.2718,
1556
+ "step": 2580
1557
+ },
1558
+ {
1559
+ "epoch": 29.35,
1560
+ "learning_rate": 7.2512533000476625e-06,
1561
+ "loss": 0.2964,
1562
+ "step": 2590
1563
+ },
1564
+ {
1565
+ "epoch": 29.46,
1566
+ "learning_rate": 7.182674431585703e-06,
1567
+ "loss": 0.2784,
1568
+ "step": 2600
1569
+ },
1570
+ {
1571
+ "epoch": 29.58,
1572
+ "learning_rate": 7.114239187972416e-06,
1573
+ "loss": 0.3001,
1574
+ "step": 2610
1575
+ },
1576
+ {
1577
+ "epoch": 29.69,
1578
+ "learning_rate": 7.045951057978001e-06,
1579
+ "loss": 0.2877,
1580
+ "step": 2620
1581
+ },
1582
+ {
1583
+ "epoch": 29.8,
1584
+ "learning_rate": 6.977813522872943e-06,
1585
+ "loss": 0.2964,
1586
+ "step": 2630
1587
+ },
1588
+ {
1589
+ "epoch": 29.92,
1590
+ "learning_rate": 6.909830056250527e-06,
1591
+ "loss": 0.2923,
1592
+ "step": 2640
1593
+ },
1594
+ {
1595
+ "epoch": 30.03,
1596
+ "learning_rate": 6.8420041238497525e-06,
1597
+ "loss": 0.2839,
1598
+ "step": 2650
1599
+ },
1600
+ {
1601
+ "epoch": 30.14,
1602
+ "learning_rate": 6.774339183378663e-06,
1603
+ "loss": 0.2679,
1604
+ "step": 2660
1605
+ },
1606
+ {
1607
+ "epoch": 30.25,
1608
+ "learning_rate": 6.7068386843380695e-06,
1609
+ "loss": 0.2751,
1610
+ "step": 2670
1611
+ },
1612
+ {
1613
+ "epoch": 30.37,
1614
+ "learning_rate": 6.639506067845698e-06,
1615
+ "loss": 0.2588,
1616
+ "step": 2680
1617
+ },
1618
+ {
1619
+ "epoch": 30.48,
1620
+ "learning_rate": 6.572344766460776e-06,
1621
+ "loss": 0.2828,
1622
+ "step": 2690
1623
+ },
1624
+ {
1625
+ "epoch": 30.59,
1626
+ "learning_rate": 6.505358204009018e-06,
1627
+ "loss": 0.2904,
1628
+ "step": 2700
1629
+ },
1630
+ {
1631
+ "epoch": 30.71,
1632
+ "learning_rate": 6.438549795408107e-06,
1633
+ "loss": 0.2712,
1634
+ "step": 2710
1635
+ },
1636
+ {
1637
+ "epoch": 30.82,
1638
+ "learning_rate": 6.3719229464935915e-06,
1639
+ "loss": 0.2765,
1640
+ "step": 2720
1641
+ },
1642
+ {
1643
+ "epoch": 30.93,
1644
+ "learning_rate": 6.305481053845262e-06,
1645
+ "loss": 0.2732,
1646
+ "step": 2730
1647
+ },
1648
+ {
1649
+ "epoch": 31.05,
1650
+ "learning_rate": 6.239227504614004e-06,
1651
+ "loss": 0.2604,
1652
+ "step": 2740
1653
+ },
1654
+ {
1655
+ "epoch": 31.16,
1656
+ "learning_rate": 6.173165676349103e-06,
1657
+ "loss": 0.2535,
1658
+ "step": 2750
1659
+ },
1660
+ {
1661
+ "epoch": 31.27,
1662
+ "learning_rate": 6.107298936826086e-06,
1663
+ "loss": 0.2607,
1664
+ "step": 2760
1665
+ },
1666
+ {
1667
+ "epoch": 31.39,
1668
+ "learning_rate": 6.041630643875018e-06,
1669
+ "loss": 0.2769,
1670
+ "step": 2770
1671
+ },
1672
+ {
1673
+ "epoch": 31.5,
1674
+ "learning_rate": 5.9761641452093225e-06,
1675
+ "loss": 0.2747,
1676
+ "step": 2780
1677
+ },
1678
+ {
1679
+ "epoch": 31.61,
1680
+ "learning_rate": 5.910902778255134e-06,
1681
+ "loss": 0.2578,
1682
+ "step": 2790
1683
+ },
1684
+ {
1685
+ "epoch": 31.73,
1686
+ "learning_rate": 5.845849869981137e-06,
1687
+ "loss": 0.2566,
1688
+ "step": 2800
1689
+ },
1690
+ {
1691
+ "epoch": 31.84,
1692
+ "learning_rate": 5.781008736728975e-06,
1693
+ "loss": 0.2658,
1694
+ "step": 2810
1695
+ },
1696
+ {
1697
+ "epoch": 31.95,
1698
+ "learning_rate": 5.716382684044191e-06,
1699
+ "loss": 0.2732,
1700
+ "step": 2820
1701
+ },
1702
+ {
1703
+ "epoch": 32.07,
1704
+ "learning_rate": 5.6519750065076815e-06,
1705
+ "loss": 0.2656,
1706
+ "step": 2830
1707
+ },
1708
+ {
1709
+ "epoch": 32.18,
1710
+ "learning_rate": 5.587788987567785e-06,
1711
+ "loss": 0.2386,
1712
+ "step": 2840
1713
+ },
1714
+ {
1715
+ "epoch": 32.29,
1716
+ "learning_rate": 5.523827899372876e-06,
1717
+ "loss": 0.2554,
1718
+ "step": 2850
1719
+ },
1720
+ {
1721
+ "epoch": 32.41,
1722
+ "learning_rate": 5.460095002604533e-06,
1723
+ "loss": 0.2511,
1724
+ "step": 2860
1725
+ },
1726
+ {
1727
+ "epoch": 32.52,
1728
+ "learning_rate": 5.396593546311346e-06,
1729
+ "loss": 0.2641,
1730
+ "step": 2870
1731
+ },
1732
+ {
1733
+ "epoch": 32.63,
1734
+ "learning_rate": 5.333326767743263e-06,
1735
+ "loss": 0.2553,
1736
+ "step": 2880
1737
+ },
1738
+ {
1739
+ "epoch": 32.75,
1740
+ "learning_rate": 5.276589982435913e-06,
1741
+ "loss": 0.2508,
1742
+ "step": 2890
1743
+ },
1744
+ {
1745
+ "epoch": 32.86,
1746
+ "learning_rate": 5.213777967188747e-06,
1747
+ "loss": 0.2533,
1748
+ "step": 2900
1749
+ },
1750
+ {
1751
+ "epoch": 32.97,
1752
+ "learning_rate": 5.151209949448599e-06,
1753
+ "loss": 0.2621,
1754
+ "step": 2910
1755
+ },
1756
+ {
1757
+ "epoch": 33.09,
1758
+ "learning_rate": 5.088889118879516e-06,
1759
+ "loss": 0.2381,
1760
+ "step": 2920
1761
+ },
1762
+ {
1763
+ "epoch": 33.2,
1764
+ "learning_rate": 5.02681865254417e-06,
1765
+ "loss": 0.2405,
1766
+ "step": 2930
1767
+ },
1768
+ {
1769
+ "epoch": 33.31,
1770
+ "learning_rate": 4.965001714741851e-06,
1771
+ "loss": 0.2473,
1772
+ "step": 2940
1773
+ },
1774
+ {
1775
+ "epoch": 33.43,
1776
+ "learning_rate": 4.903441456847198e-06,
1777
+ "loss": 0.2345,
1778
+ "step": 2950
1779
+ },
1780
+ {
1781
+ "epoch": 33.54,
1782
+ "learning_rate": 4.8421410171495265e-06,
1783
+ "loss": 0.2349,
1784
+ "step": 2960
1785
+ },
1786
+ {
1787
+ "epoch": 33.65,
1788
+ "learning_rate": 4.781103520692839e-06,
1789
+ "loss": 0.2466,
1790
+ "step": 2970
1791
+ },
1792
+ {
1793
+ "epoch": 33.77,
1794
+ "learning_rate": 4.720332079116523e-06,
1795
+ "loss": 0.2512,
1796
+ "step": 2980
1797
+ },
1798
+ {
1799
+ "epoch": 33.88,
1800
+ "learning_rate": 4.659829790496699e-06,
1801
+ "loss": 0.2633,
1802
+ "step": 2990
1803
+ },
1804
+ {
1805
+ "epoch": 33.99,
1806
+ "learning_rate": 4.599599739188322e-06,
1807
+ "loss": 0.247,
1808
+ "step": 3000
1809
+ },
1810
+ {
1811
+ "epoch": 34.11,
1812
+ "learning_rate": 4.539644995667911e-06,
1813
+ "loss": 0.2231,
1814
+ "step": 3010
1815
+ },
1816
+ {
1817
+ "epoch": 34.22,
1818
+ "learning_rate": 4.479968616377024e-06,
1819
+ "loss": 0.2174,
1820
+ "step": 3020
1821
+ },
1822
+ {
1823
+ "epoch": 34.33,
1824
+ "learning_rate": 4.420573643566455e-06,
1825
+ "loss": 0.231,
1826
+ "step": 3030
1827
+ },
1828
+ {
1829
+ "epoch": 34.45,
1830
+ "learning_rate": 4.361463105141137e-06,
1831
+ "loss": 0.2545,
1832
+ "step": 3040
1833
+ },
1834
+ {
1835
+ "epoch": 34.56,
1836
+ "learning_rate": 4.302640014505779e-06,
1837
+ "loss": 0.2502,
1838
+ "step": 3050
1839
+ },
1840
+ {
1841
+ "epoch": 34.67,
1842
+ "learning_rate": 4.244107370411248e-06,
1843
+ "loss": 0.2505,
1844
+ "step": 3060
1845
+ },
1846
+ {
1847
+ "epoch": 34.79,
1848
+ "learning_rate": 4.185868156801695e-06,
1849
+ "loss": 0.225,
1850
+ "step": 3070
1851
+ },
1852
+ {
1853
+ "epoch": 34.9,
1854
+ "learning_rate": 4.1279253426624345e-06,
1855
+ "loss": 0.2436,
1856
+ "step": 3080
1857
+ },
1858
+ {
1859
+ "epoch": 35.01,
1860
+ "learning_rate": 4.07028188186859e-06,
1861
+ "loss": 0.2274,
1862
+ "step": 3090
1863
+ },
1864
+ {
1865
+ "epoch": 35.13,
1866
+ "learning_rate": 4.0129407130345114e-06,
1867
+ "loss": 0.214,
1868
+ "step": 3100
1869
+ },
1870
+ {
1871
+ "epoch": 35.24,
1872
+ "learning_rate": 3.955904759363958e-06,
1873
+ "loss": 0.2088,
1874
+ "step": 3110
1875
+ },
1876
+ {
1877
+ "epoch": 35.35,
1878
+ "learning_rate": 3.899176928501078e-06,
1879
+ "loss": 0.244,
1880
+ "step": 3120
1881
+ },
1882
+ {
1883
+ "epoch": 35.47,
1884
+ "learning_rate": 3.842760112382183e-06,
1885
+ "loss": 0.2255,
1886
+ "step": 3130
1887
+ },
1888
+ {
1889
+ "epoch": 35.58,
1890
+ "learning_rate": 3.7866571870883382e-06,
1891
+ "loss": 0.2282,
1892
+ "step": 3140
1893
+ },
1894
+ {
1895
+ "epoch": 35.69,
1896
+ "learning_rate": 3.7308710126986934e-06,
1897
+ "loss": 0.2415,
1898
+ "step": 3150
1899
+ },
1900
+ {
1901
+ "epoch": 35.81,
1902
+ "learning_rate": 3.675404433144727e-06,
1903
+ "loss": 0.2415,
1904
+ "step": 3160
1905
+ },
1906
+ {
1907
+ "epoch": 35.92,
1908
+ "learning_rate": 3.6202602760652395e-06,
1909
+ "loss": 0.2301,
1910
+ "step": 3170
1911
+ },
1912
+ {
1913
+ "epoch": 36.03,
1914
+ "learning_rate": 3.565441352662211e-06,
1915
+ "loss": 0.2301,
1916
+ "step": 3180
1917
+ },
1918
+ {
1919
+ "epoch": 36.15,
1920
+ "learning_rate": 3.510950457557487e-06,
1921
+ "loss": 0.2213,
1922
+ "step": 3190
1923
+ },
1924
+ {
1925
+ "epoch": 36.26,
1926
+ "learning_rate": 3.4567903686503103e-06,
1927
+ "loss": 0.2174,
1928
+ "step": 3200
1929
+ },
1930
+ {
1931
+ "epoch": 36.37,
1932
+ "learning_rate": 3.4029638469757055e-06,
1933
+ "loss": 0.2236,
1934
+ "step": 3210
1935
+ },
1936
+ {
1937
+ "epoch": 36.49,
1938
+ "learning_rate": 3.3494736365637304e-06,
1939
+ "loss": 0.2235,
1940
+ "step": 3220
1941
+ },
1942
+ {
1943
+ "epoch": 36.6,
1944
+ "learning_rate": 3.2963224642995675e-06,
1945
+ "loss": 0.222,
1946
+ "step": 3230
1947
+ },
1948
+ {
1949
+ "epoch": 36.71,
1950
+ "learning_rate": 3.2435130397845472e-06,
1951
+ "loss": 0.2237,
1952
+ "step": 3240
1953
+ },
1954
+ {
1955
+ "epoch": 36.83,
1956
+ "learning_rate": 3.1910480551979706e-06,
1957
+ "loss": 0.2239,
1958
+ "step": 3250
1959
+ },
1960
+ {
1961
+ "epoch": 36.94,
1962
+ "learning_rate": 3.1389301851598976e-06,
1963
+ "loss": 0.2149,
1964
+ "step": 3260
1965
+ },
1966
+ {
1967
+ "epoch": 37.05,
1968
+ "learning_rate": 3.0871620865947816e-06,
1969
+ "loss": 0.2279,
1970
+ "step": 3270
1971
+ },
1972
+ {
1973
+ "epoch": 37.17,
1974
+ "learning_rate": 3.0357463985960257e-06,
1975
+ "loss": 0.2007,
1976
+ "step": 3280
1977
+ },
1978
+ {
1979
+ "epoch": 37.28,
1980
+ "learning_rate": 2.9846857422914434e-06,
1981
+ "loss": 0.2132,
1982
+ "step": 3290
1983
+ },
1984
+ {
1985
+ "epoch": 37.39,
1986
+ "learning_rate": 2.933982720709637e-06,
1987
+ "loss": 0.2147,
1988
+ "step": 3300
1989
+ },
1990
+ {
1991
+ "epoch": 37.51,
1992
+ "learning_rate": 2.883639918647296e-06,
1993
+ "loss": 0.2121,
1994
+ "step": 3310
1995
+ },
1996
+ {
1997
+ "epoch": 37.62,
1998
+ "learning_rate": 2.833659902537429e-06,
1999
+ "loss": 0.2147,
2000
+ "step": 3320
2001
+ },
2002
+ {
2003
+ "epoch": 37.73,
2004
+ "learning_rate": 2.7840452203185154e-06,
2005
+ "loss": 0.2127,
2006
+ "step": 3330
2007
+ },
2008
+ {
2009
+ "epoch": 37.85,
2010
+ "learning_rate": 2.7347984013046435e-06,
2011
+ "loss": 0.2308,
2012
+ "step": 3340
2013
+ },
2014
+ {
2015
+ "epoch": 37.96,
2016
+ "learning_rate": 2.6859219560565407e-06,
2017
+ "loss": 0.2152,
2018
+ "step": 3350
2019
+ },
2020
+ {
2021
+ "epoch": 38.07,
2022
+ "learning_rate": 2.637418376253591e-06,
2023
+ "loss": 0.2161,
2024
+ "step": 3360
2025
+ },
2026
+ {
2027
+ "epoch": 38.19,
2028
+ "learning_rate": 2.589290134566824e-06,
2029
+ "loss": 0.2206,
2030
+ "step": 3370
2031
+ },
2032
+ {
2033
+ "epoch": 38.3,
2034
+ "learning_rate": 2.541539684532852e-06,
2035
+ "loss": 0.2256,
2036
+ "step": 3380
2037
+ },
2038
+ {
2039
+ "epoch": 38.41,
2040
+ "learning_rate": 2.4941694604287913e-06,
2041
+ "loss": 0.2096,
2042
+ "step": 3390
2043
+ },
2044
+ {
2045
+ "epoch": 38.53,
2046
+ "learning_rate": 2.447181877148165e-06,
2047
+ "loss": 0.2058,
2048
+ "step": 3400
2049
+ },
2050
+ {
2051
+ "epoch": 38.64,
2052
+ "learning_rate": 2.4005793300777933e-06,
2053
+ "loss": 0.2102,
2054
+ "step": 3410
2055
+ },
2056
+ {
2057
+ "epoch": 38.75,
2058
+ "learning_rate": 2.3543641949756835e-06,
2059
+ "loss": 0.2139,
2060
+ "step": 3420
2061
+ },
2062
+ {
2063
+ "epoch": 38.87,
2064
+ "learning_rate": 2.30853882784991e-06,
2065
+ "loss": 0.2048,
2066
+ "step": 3430
2067
+ },
2068
+ {
2069
+ "epoch": 38.98,
2070
+ "learning_rate": 2.2631055648385e-06,
2071
+ "loss": 0.2071,
2072
+ "step": 3440
2073
+ },
2074
+ {
2075
+ "epoch": 39.09,
2076
+ "learning_rate": 2.2180667220903697e-06,
2077
+ "loss": 0.206,
2078
+ "step": 3450
2079
+ },
2080
+ {
2081
+ "epoch": 39.21,
2082
+ "learning_rate": 2.1734245956472024e-06,
2083
+ "loss": 0.2049,
2084
+ "step": 3460
2085
+ },
2086
+ {
2087
+ "epoch": 39.32,
2088
+ "learning_rate": 2.1291814613264383e-06,
2089
+ "loss": 0.2096,
2090
+ "step": 3470
2091
+ },
2092
+ {
2093
+ "epoch": 39.43,
2094
+ "learning_rate": 2.085339574605243e-06,
2095
+ "loss": 0.1986,
2096
+ "step": 3480
2097
+ },
2098
+ {
2099
+ "epoch": 39.55,
2100
+ "learning_rate": 2.0419011705055115e-06,
2101
+ "loss": 0.2036,
2102
+ "step": 3490
2103
+ },
2104
+ {
2105
+ "epoch": 39.66,
2106
+ "learning_rate": 1.998868463479945e-06,
2107
+ "loss": 0.21,
2108
+ "step": 3500
2109
+ },
2110
+ {
2111
+ "epoch": 39.77,
2112
+ "learning_rate": 1.956243647299155e-06,
2113
+ "loss": 0.2155,
2114
+ "step": 3510
2115
+ },
2116
+ {
2117
+ "epoch": 39.89,
2118
+ "learning_rate": 1.914028894939829e-06,
2119
+ "loss": 0.2086,
2120
+ "step": 3520
2121
+ },
2122
+ {
2123
+ "epoch": 40.0,
2124
+ "learning_rate": 1.8722263584739486e-06,
2125
+ "loss": 0.1997,
2126
+ "step": 3530
2127
+ },
2128
+ {
2129
+ "epoch": 40.11,
2130
+ "learning_rate": 1.830838168959075e-06,
2131
+ "loss": 0.1932,
2132
+ "step": 3540
2133
+ },
2134
+ {
2135
+ "epoch": 40.23,
2136
+ "learning_rate": 1.7898664363297302e-06,
2137
+ "loss": 0.1997,
2138
+ "step": 3550
2139
+ },
2140
+ {
2141
+ "epoch": 40.34,
2142
+ "learning_rate": 1.7493132492898134e-06,
2143
+ "loss": 0.1975,
2144
+ "step": 3560
2145
+ },
2146
+ {
2147
+ "epoch": 40.45,
2148
+ "learning_rate": 1.7091806752061212e-06,
2149
+ "loss": 0.2072,
2150
+ "step": 3570
2151
+ },
2152
+ {
2153
+ "epoch": 40.57,
2154
+ "learning_rate": 1.6694707600029702e-06,
2155
+ "loss": 0.1786,
2156
+ "step": 3580
2157
+ },
2158
+ {
2159
+ "epoch": 40.68,
2160
+ "learning_rate": 1.630185528057886e-06,
2161
+ "loss": 0.2044,
2162
+ "step": 3590
2163
+ },
2164
+ {
2165
+ "epoch": 40.79,
2166
+ "learning_rate": 1.5913269820984023e-06,
2167
+ "loss": 0.2129,
2168
+ "step": 3600
2169
+ },
2170
+ {
2171
+ "epoch": 40.91,
2172
+ "learning_rate": 1.5528971030999706e-06,
2173
+ "loss": 0.2219,
2174
+ "step": 3610
2175
+ },
2176
+ {
2177
+ "epoch": 41.02,
2178
+ "learning_rate": 1.5148978501849642e-06,
2179
+ "loss": 0.2023,
2180
+ "step": 3620
2181
+ },
2182
+ {
2183
+ "epoch": 41.13,
2184
+ "learning_rate": 1.4773311605228059e-06,
2185
+ "loss": 0.1975,
2186
+ "step": 3630
2187
+ },
2188
+ {
2189
+ "epoch": 41.25,
2190
+ "learning_rate": 1.4401989492312164e-06,
2191
+ "loss": 0.1922,
2192
+ "step": 3640
2193
+ },
2194
+ {
2195
+ "epoch": 41.36,
2196
+ "learning_rate": 1.403503109278579e-06,
2197
+ "loss": 0.1868,
2198
+ "step": 3650
2199
+ },
2200
+ {
2201
+ "epoch": 41.47,
2202
+ "learning_rate": 1.3672455113874429e-06,
2203
+ "loss": 0.2009,
2204
+ "step": 3660
2205
+ },
2206
+ {
2207
+ "epoch": 41.59,
2208
+ "learning_rate": 1.3314280039391426e-06,
2209
+ "loss": 0.2064,
2210
+ "step": 3670
2211
+ },
2212
+ {
2213
+ "epoch": 41.7,
2214
+ "learning_rate": 1.2960524128795837e-06,
2215
+ "loss": 0.2036,
2216
+ "step": 3680
2217
+ },
2218
+ {
2219
+ "epoch": 41.81,
2220
+ "learning_rate": 1.2611205416261595e-06,
2221
+ "loss": 0.1896,
2222
+ "step": 3690
2223
+ },
2224
+ {
2225
+ "epoch": 41.93,
2226
+ "learning_rate": 1.2266341709757946e-06,
2227
+ "loss": 0.2078,
2228
+ "step": 3700
2229
+ },
2230
+ {
2231
+ "epoch": 42.04,
2232
+ "learning_rate": 1.192595059014179e-06,
2233
+ "loss": 0.1931,
2234
+ "step": 3710
2235
+ },
2236
+ {
2237
+ "epoch": 42.15,
2238
+ "learning_rate": 1.1590049410261384e-06,
2239
+ "loss": 0.203,
2240
+ "step": 3720
2241
+ },
2242
+ {
2243
+ "epoch": 42.27,
2244
+ "learning_rate": 1.1258655294071686e-06,
2245
+ "loss": 0.1928,
2246
+ "step": 3730
2247
+ },
2248
+ {
2249
+ "epoch": 42.38,
2250
+ "learning_rate": 1.0931785135761375e-06,
2251
+ "loss": 0.1898,
2252
+ "step": 3740
2253
+ },
2254
+ {
2255
+ "epoch": 42.49,
2256
+ "learning_rate": 1.0609455598891682e-06,
2257
+ "loss": 0.2001,
2258
+ "step": 3750
2259
+ },
2260
+ {
2261
+ "epoch": 42.61,
2262
+ "learning_rate": 1.029168311554678e-06,
2263
+ "loss": 0.2011,
2264
+ "step": 3760
2265
+ },
2266
+ {
2267
+ "epoch": 42.72,
2268
+ "learning_rate": 9.978483885496204e-07,
2269
+ "loss": 0.1871,
2270
+ "step": 3770
2271
+ },
2272
+ {
2273
+ "epoch": 42.83,
2274
+ "learning_rate": 9.669873875368852e-07,
2275
+ "loss": 0.2027,
2276
+ "step": 3780
2277
+ },
2278
+ {
2279
+ "epoch": 42.95,
2280
+ "learning_rate": 9.365868817839264e-07,
2281
+ "loss": 0.1941,
2282
+ "step": 3790
2283
+ },
2284
+ {
2285
+ "epoch": 43.06,
2286
+ "learning_rate": 9.066484210825288e-07,
2287
+ "loss": 0.1917,
2288
+ "step": 3800
2289
+ },
2290
+ {
2291
+ "epoch": 43.17,
2292
+ "learning_rate": 8.771735316698249e-07,
2293
+ "loss": 0.192,
2294
+ "step": 3810
2295
+ },
2296
+ {
2297
+ "epoch": 43.29,
2298
+ "learning_rate": 8.481637161504741e-07,
2299
+ "loss": 0.1959,
2300
+ "step": 3820
2301
+ },
2302
+ {
2303
+ "epoch": 43.4,
2304
+ "learning_rate": 8.19620453420068e-07,
2305
+ "loss": 0.192,
2306
+ "step": 3830
2307
+ },
2308
+ {
2309
+ "epoch": 43.51,
2310
+ "learning_rate": 7.915451985897382e-07,
2311
+ "loss": 0.2027,
2312
+ "step": 3840
2313
+ },
2314
+ {
2315
+ "epoch": 43.63,
2316
+ "learning_rate": 7.639393829119701e-07,
2317
+ "loss": 0.19,
2318
+ "step": 3850
2319
+ },
2320
+ {
2321
+ "epoch": 43.74,
2322
+ "learning_rate": 7.368044137076435e-07,
2323
+ "loss": 0.1919,
2324
+ "step": 3860
2325
+ },
2326
+ {
2327
+ "epoch": 43.85,
2328
+ "learning_rate": 7.101416742942913e-07,
2329
+ "loss": 0.1897,
2330
+ "step": 3870
2331
+ },
2332
+ {
2333
+ "epoch": 43.97,
2334
+ "learning_rate": 6.839525239155675e-07,
2335
+ "loss": 0.199,
2336
+ "step": 3880
2337
+ },
2338
+ {
2339
+ "epoch": 44.08,
2340
+ "learning_rate": 6.582382976719703e-07,
2341
+ "loss": 0.2,
2342
+ "step": 3890
2343
+ },
2344
+ {
2345
+ "epoch": 44.19,
2346
+ "learning_rate": 6.330003064527679e-07,
2347
+ "loss": 0.1917,
2348
+ "step": 3900
2349
+ },
2350
+ {
2351
+ "epoch": 44.31,
2352
+ "learning_rate": 6.082398368691711e-07,
2353
+ "loss": 0.1804,
2354
+ "step": 3910
2355
+ },
2356
+ {
2357
+ "epoch": 44.42,
2358
+ "learning_rate": 5.839581511887515e-07,
2359
+ "loss": 0.1971,
2360
+ "step": 3920
2361
+ },
2362
+ {
2363
+ "epoch": 44.53,
2364
+ "learning_rate": 5.601564872710851e-07,
2365
+ "loss": 0.1895,
2366
+ "step": 3930
2367
+ },
2368
+ {
2369
+ "epoch": 44.65,
2370
+ "learning_rate": 5.36836058504645e-07,
2371
+ "loss": 0.2008,
2372
+ "step": 3940
2373
+ },
2374
+ {
2375
+ "epoch": 44.76,
2376
+ "learning_rate": 5.13998053744954e-07,
2377
+ "loss": 0.1871,
2378
+ "step": 3950
2379
+ },
2380
+ {
2381
+ "epoch": 44.87,
2382
+ "learning_rate": 4.916436372539668e-07,
2383
+ "loss": 0.1899,
2384
+ "step": 3960
2385
+ },
2386
+ {
2387
+ "epoch": 44.99,
2388
+ "learning_rate": 4.697739486407227e-07,
2389
+ "loss": 0.1917,
2390
+ "step": 3970
2391
+ },
2392
+ {
2393
+ "epoch": 45.1,
2394
+ "learning_rate": 4.4839010280325003e-07,
2395
+ "loss": 0.1976,
2396
+ "step": 3980
2397
+ },
2398
+ {
2399
+ "epoch": 45.21,
2400
+ "learning_rate": 4.2749318987172385e-07,
2401
+ "loss": 0.1915,
2402
+ "step": 3990
2403
+ },
2404
+ {
2405
+ "epoch": 45.33,
2406
+ "learning_rate": 4.070842751529025e-07,
2407
+ "loss": 0.2004,
2408
+ "step": 4000
2409
+ },
2410
+ {
2411
+ "epoch": 45.44,
2412
+ "learning_rate": 3.871643990758056e-07,
2413
+ "loss": 0.1947,
2414
+ "step": 4010
2415
+ },
2416
+ {
2417
+ "epoch": 45.55,
2418
+ "learning_rate": 3.6773457713868423e-07,
2419
+ "loss": 0.1793,
2420
+ "step": 4020
2421
+ },
2422
+ {
2423
+ "epoch": 45.67,
2424
+ "learning_rate": 3.487957998572511e-07,
2425
+ "loss": 0.1882,
2426
+ "step": 4030
2427
+ },
2428
+ {
2429
+ "epoch": 45.78,
2430
+ "learning_rate": 3.3034903271417564e-07,
2431
+ "loss": 0.1862,
2432
+ "step": 4040
2433
+ },
2434
+ {
2435
+ "epoch": 45.89,
2436
+ "learning_rate": 3.1239521610987757e-07,
2437
+ "loss": 0.1862,
2438
+ "step": 4050
2439
+ },
2440
+ {
2441
+ "epoch": 46.01,
2442
+ "learning_rate": 2.949352653145754e-07,
2443
+ "loss": 0.1987,
2444
+ "step": 4060
2445
+ },
2446
+ {
2447
+ "epoch": 46.12,
2448
+ "learning_rate": 2.779700704216337e-07,
2449
+ "loss": 0.1837,
2450
+ "step": 4070
2451
+ },
2452
+ {
2453
+ "epoch": 46.23,
2454
+ "learning_rate": 2.6150049630218277e-07,
2455
+ "loss": 0.1949,
2456
+ "step": 4080
2457
+ },
2458
+ {
2459
+ "epoch": 46.35,
2460
+ "learning_rate": 2.4552738256102717e-07,
2461
+ "loss": 0.1892,
2462
+ "step": 4090
2463
+ },
2464
+ {
2465
+ "epoch": 46.46,
2466
+ "learning_rate": 2.3005154349385106e-07,
2467
+ "loss": 0.1959,
2468
+ "step": 4100
2469
+ },
2470
+ {
2471
+ "epoch": 46.57,
2472
+ "learning_rate": 2.1507376804569935e-07,
2473
+ "loss": 0.1925,
2474
+ "step": 4110
2475
+ },
2476
+ {
2477
+ "epoch": 46.69,
2478
+ "learning_rate": 2.0059481977075523e-07,
2479
+ "loss": 0.1933,
2480
+ "step": 4120
2481
+ },
2482
+ {
2483
+ "epoch": 46.8,
2484
+ "learning_rate": 1.8661543679342365e-07,
2485
+ "loss": 0.2049,
2486
+ "step": 4130
2487
+ },
2488
+ {
2489
+ "epoch": 46.91,
2490
+ "learning_rate": 1.731363317706969e-07,
2491
+ "loss": 0.1756,
2492
+ "step": 4140
2493
+ },
2494
+ {
2495
+ "epoch": 47.03,
2496
+ "learning_rate": 1.601581918558237e-07,
2497
+ "loss": 0.1746,
2498
+ "step": 4150
2499
+ },
2500
+ {
2501
+ "epoch": 47.14,
2502
+ "learning_rate": 1.4768167866328176e-07,
2503
+ "loss": 0.1963,
2504
+ "step": 4160
2505
+ },
2506
+ {
2507
+ "epoch": 47.25,
2508
+ "learning_rate": 1.357074282350457e-07,
2509
+ "loss": 0.1903,
2510
+ "step": 4170
2511
+ },
2512
+ {
2513
+ "epoch": 47.37,
2514
+ "learning_rate": 1.2423605100816304e-07,
2515
+ "loss": 0.1821,
2516
+ "step": 4180
2517
+ },
2518
+ {
2519
+ "epoch": 47.48,
2520
+ "learning_rate": 1.1326813178363927e-07,
2521
+ "loss": 0.1946,
2522
+ "step": 4190
2523
+ },
2524
+ {
2525
+ "epoch": 47.59,
2526
+ "learning_rate": 1.0280422969661696e-07,
2527
+ "loss": 0.1832,
2528
+ "step": 4200
2529
+ },
2530
+ {
2531
+ "epoch": 47.71,
2532
+ "learning_rate": 9.284487818787879e-08,
2533
+ "loss": 0.1892,
2534
+ "step": 4210
2535
+ },
2536
+ {
2537
+ "epoch": 47.82,
2538
+ "learning_rate": 8.33905849766481e-08,
2539
+ "loss": 0.1883,
2540
+ "step": 4220
2541
+ },
2542
+ {
2543
+ "epoch": 47.93,
2544
+ "learning_rate": 7.444183203471067e-08,
2545
+ "loss": 0.1921,
2546
+ "step": 4230
2547
+ },
2548
+ {
2549
+ "epoch": 48.05,
2550
+ "learning_rate": 6.599907556184115e-08,
2551
+ "loss": 0.2003,
2552
+ "step": 4240
2553
+ },
2554
+ {
2555
+ "epoch": 48.16,
2556
+ "learning_rate": 5.806274596254491e-08,
2557
+ "loss": 0.1789,
2558
+ "step": 4250
2559
+ },
2560
+ {
2561
+ "epoch": 48.27,
2562
+ "learning_rate": 5.0633247824118936e-08,
2563
+ "loss": 0.1853,
2564
+ "step": 4260
2565
+ },
2566
+ {
2567
+ "epoch": 48.39,
2568
+ "learning_rate": 4.371095989602614e-08,
2569
+ "loss": 0.1968,
2570
+ "step": 4270
2571
+ },
2572
+ {
2573
+ "epoch": 48.5,
2574
+ "learning_rate": 3.729623507058744e-08,
2575
+ "loss": 0.2019,
2576
+ "step": 4280
2577
+ },
2578
+ {
2579
+ "epoch": 48.61,
2580
+ "learning_rate": 3.13894003649895e-08,
2581
+ "loss": 0.1808,
2582
+ "step": 4290
2583
+ },
2584
+ {
2585
+ "epoch": 48.73,
2586
+ "learning_rate": 2.5990756904614723e-08,
2587
+ "loss": 0.1959,
2588
+ "step": 4300
2589
+ },
2590
+ {
2591
+ "epoch": 48.84,
2592
+ "learning_rate": 2.1100579907691322e-08,
2593
+ "loss": 0.1781,
2594
+ "step": 4310
2595
+ },
2596
+ {
2597
+ "epoch": 48.95,
2598
+ "learning_rate": 1.6719118671262302e-08,
2599
+ "loss": 0.1868,
2600
+ "step": 4320
2601
+ },
2602
+ {
2603
+ "epoch": 49.07,
2604
+ "learning_rate": 1.2846596558473424e-08,
2605
+ "loss": 0.1887,
2606
+ "step": 4330
2607
+ },
2608
+ {
2609
+ "epoch": 49.18,
2610
+ "learning_rate": 9.483210987193404e-09,
2611
+ "loss": 0.1982,
2612
+ "step": 4340
2613
+ },
2614
+ {
2615
+ "epoch": 49.29,
2616
+ "learning_rate": 6.62913341994087e-09,
2617
+ "loss": 0.1957,
2618
+ "step": 4350
2619
+ },
2620
+ {
2621
+ "epoch": 49.41,
2622
+ "learning_rate": 4.284509355151345e-09,
2623
+ "loss": 0.1925,
2624
+ "step": 4360
2625
+ },
2626
+ {
2627
+ "epoch": 49.52,
2628
+ "learning_rate": 2.449458319754294e-09,
2629
+ "loss": 0.1859,
2630
+ "step": 4370
2631
+ },
2632
+ {
2633
+ "epoch": 49.63,
2634
+ "learning_rate": 1.124073863082442e-09,
2635
+ "loss": 0.187,
2636
+ "step": 4380
2637
+ },
2638
+ {
2639
+ "epoch": 49.75,
2640
+ "learning_rate": 3.0842355210336515e-10,
2641
+ "loss": 0.1792,
2642
+ "step": 4390
2643
+ },
2644
+ {
2645
+ "epoch": 49.86,
2646
+ "learning_rate": 2.548967970028571e-12,
2647
+ "loss": 0.1895,
2648
+ "step": 4400
2649
+ }
2650
+ ],
2651
+ "max_steps": 4400,
2652
+ "num_train_epochs": 50,
2653
+ "total_flos": 6.496431653421466e+17,
2654
+ "trial_name": null,
2655
+ "trial_params": null
2656
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8be8cfbd08a415e29c518b452a2361b68e609824a15a44ac08ccf6d02aba8b16
3
+ size 3369