ycchen commited on
Commit
3ff5fc0
·
1 Parent(s): 88aaaed

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: gptq
9
+ - bits: 8
10
+ - tokenizer: None
11
+ - dataset: None
12
+ - group_size: 128
13
+ - damp_percent: 0.01
14
+ - desc_act: False
15
+ - sym: True
16
+ - true_sequential: True
17
+ - use_cuda_fp16: False
18
+ - model_seqlen: None
19
+ - block_name_to_quantize: None
20
+ - module_name_preceding_first_block: None
21
+ - batch_size: 1
22
+ - pad_token_id: None
23
+ - disable_exllama: False
24
+ ### Framework versions
25
+
26
+
27
+ - PEFT 0.5.0
adapter_config.json ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "ycchen/yc-test1",
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": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 32,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "28.attn.c_attn",
18
+ "28.attn.c_proj",
19
+ "28.mlp.c_proj",
20
+ "28.mlp.w1",
21
+ "28.mlp.w2",
22
+ "29.attn.c_attn",
23
+ "29.attn.c_proj",
24
+ "29.mlp.c_proj",
25
+ "29.mlp.w1",
26
+ "29.mlp.w2",
27
+ "30.attn.c_attn",
28
+ "30.attn.c_proj",
29
+ "30.mlp.c_proj",
30
+ "30.mlp.w1",
31
+ "30.mlp.w2",
32
+ "31.attn.c_attn",
33
+ "31.attn.c_proj",
34
+ "31.mlp.c_proj",
35
+ "31.mlp.w1",
36
+ "31.mlp.w2",
37
+ "32.attn.c_attn",
38
+ "32.attn.c_proj",
39
+ "32.mlp.c_proj",
40
+ "32.mlp.w1",
41
+ "32.mlp.w2",
42
+ "33.attn.c_attn",
43
+ "33.attn.c_proj",
44
+ "33.mlp.c_proj",
45
+ "33.mlp.w1",
46
+ "33.mlp.w2",
47
+ "34.attn.c_attn",
48
+ "34.attn.c_proj",
49
+ "34.mlp.c_proj",
50
+ "34.mlp.w1",
51
+ "34.mlp.w2",
52
+ "35.attn.c_attn",
53
+ "35.attn.c_proj",
54
+ "35.mlp.c_proj",
55
+ "35.mlp.w1",
56
+ "35.mlp.w2",
57
+ "36.attn.c_attn",
58
+ "36.attn.c_proj",
59
+ "36.mlp.c_proj",
60
+ "36.mlp.w1",
61
+ "36.mlp.w2",
62
+ "37.attn.c_attn",
63
+ "37.attn.c_proj",
64
+ "37.mlp.c_proj",
65
+ "37.mlp.w1",
66
+ "37.mlp.w2",
67
+ "38.attn.c_attn",
68
+ "38.attn.c_proj",
69
+ "38.mlp.c_proj",
70
+ "38.mlp.w1",
71
+ "38.mlp.w2",
72
+ "39.attn.c_attn",
73
+ "39.attn.c_proj",
74
+ "39.mlp.c_proj",
75
+ "39.mlp.w1",
76
+ "39.mlp.w2"
77
+ ],
78
+ "task_type": "CAUSAL_LM"
79
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8db77347733841d8b07ebca9f1afe08280bf9e7b74f8410e7861421c7ec8ff85
3
+ size 133932461
qwen.tiktoken ADDED
The diff for this file is too large to render. See raw diff
 
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efcd1c0f1ef09b17bae7d35d0c7832a85332121f175ebc1b74813d9e078461b5
3
+ size 563
special_tokens_map.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "pad_token": "<|extra_21|>"
3
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_map": {
3
+ "AutoTokenizer": [
4
+ "Qwen/Qwen-14B--tokenization_qwen.QWenTokenizer",
5
+ null
6
+ ]
7
+ },
8
+ "clean_up_tokenization_spaces": true,
9
+ "model_max_length": 8192,
10
+ "tokenizer_class": "QWenTokenizer"
11
+ }
trainer_state.json ADDED
@@ -0,0 +1,2575 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 426,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 2.938151902453357e-07,
14
+ "loss": 1.5844,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 5.876303804906714e-07,
20
+ "loss": 1.1717,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 8.814455707360072e-07,
26
+ "loss": 1.1709,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.03,
31
+ "learning_rate": 1.1752607609813429e-06,
32
+ "loss": 1.5208,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.04,
37
+ "learning_rate": 1.4690759512266787e-06,
38
+ "loss": 1.2788,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.04,
43
+ "learning_rate": 1.7628911414720144e-06,
44
+ "loss": 1.39,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.05,
49
+ "learning_rate": 2.05670633171735e-06,
50
+ "loss": 1.4615,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.06,
55
+ "learning_rate": 2.3505215219626858e-06,
56
+ "loss": 1.2082,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.06,
61
+ "learning_rate": 2.6443367122080216e-06,
62
+ "loss": 1.3854,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.07,
67
+ "learning_rate": 2.9381519024533573e-06,
68
+ "loss": 1.1711,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.08,
73
+ "learning_rate": 3.2319670926986927e-06,
74
+ "loss": 1.3714,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.08,
79
+ "learning_rate": 3.525782282944029e-06,
80
+ "loss": 1.6743,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.09,
85
+ "learning_rate": 3.819597473189365e-06,
86
+ "loss": 1.2937,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.1,
91
+ "learning_rate": 4.1134126634347e-06,
92
+ "loss": 1.2628,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.11,
97
+ "learning_rate": 4.407227853680035e-06,
98
+ "loss": 1.3822,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.11,
103
+ "learning_rate": 4.7010430439253716e-06,
104
+ "loss": 1.3788,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.12,
109
+ "learning_rate": 4.994858234170707e-06,
110
+ "loss": 1.5392,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.13,
115
+ "learning_rate": 5.288673424416043e-06,
116
+ "loss": 1.3841,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.13,
121
+ "learning_rate": 5.582488614661379e-06,
122
+ "loss": 1.3883,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.14,
127
+ "learning_rate": 5.876303804906715e-06,
128
+ "loss": 1.444,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.15,
133
+ "learning_rate": 6.17011899515205e-06,
134
+ "loss": 1.0966,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.15,
139
+ "learning_rate": 6.463934185397385e-06,
140
+ "loss": 1.4783,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.16,
145
+ "learning_rate": 6.757749375642722e-06,
146
+ "loss": 1.3966,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.17,
151
+ "learning_rate": 7.051564565888058e-06,
152
+ "loss": 1.602,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.18,
157
+ "learning_rate": 7.345379756133393e-06,
158
+ "loss": 1.4453,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.18,
163
+ "learning_rate": 7.63919494637873e-06,
164
+ "loss": 1.2995,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.19,
169
+ "learning_rate": 7.933010136624066e-06,
170
+ "loss": 1.318,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.2,
175
+ "learning_rate": 8.2268253268694e-06,
176
+ "loss": 1.1796,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.2,
181
+ "learning_rate": 8.520640517114736e-06,
182
+ "loss": 1.31,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.21,
187
+ "learning_rate": 8.81445570736007e-06,
188
+ "loss": 1.4279,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.22,
193
+ "learning_rate": 9.108270897605407e-06,
194
+ "loss": 1.5326,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.23,
199
+ "learning_rate": 9.402086087850743e-06,
200
+ "loss": 1.2816,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.23,
205
+ "learning_rate": 9.695901278096078e-06,
206
+ "loss": 1.4097,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.24,
211
+ "learning_rate": 9.989716468341414e-06,
212
+ "loss": 1.3857,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.25,
217
+ "learning_rate": 1.028353165858675e-05,
218
+ "loss": 1.5109,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.25,
223
+ "learning_rate": 1.0577346848832086e-05,
224
+ "loss": 1.5855,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.26,
229
+ "learning_rate": 1.0871162039077422e-05,
230
+ "loss": 1.4847,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.27,
235
+ "learning_rate": 1.1164977229322759e-05,
236
+ "loss": 1.3497,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.27,
241
+ "learning_rate": 1.1458792419568093e-05,
242
+ "loss": 1.3788,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.28,
247
+ "learning_rate": 1.175260760981343e-05,
248
+ "loss": 1.4044,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.29,
253
+ "learning_rate": 1.2046422800058766e-05,
254
+ "loss": 1.3204,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.3,
259
+ "learning_rate": 1.23402379903041e-05,
260
+ "loss": 1.4074,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.3,
265
+ "learning_rate": 1.2634053180549435e-05,
266
+ "loss": 1.3244,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.31,
271
+ "learning_rate": 1.292786837079477e-05,
272
+ "loss": 1.4781,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.32,
277
+ "learning_rate": 1.3221683561040107e-05,
278
+ "loss": 1.166,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.32,
283
+ "learning_rate": 1.3515498751285443e-05,
284
+ "loss": 1.5956,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.33,
289
+ "learning_rate": 1.380931394153078e-05,
290
+ "loss": 1.3736,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.34,
295
+ "learning_rate": 1.4103129131776116e-05,
296
+ "loss": 1.5388,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.35,
301
+ "learning_rate": 1.439694432202145e-05,
302
+ "loss": 1.4948,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.35,
307
+ "learning_rate": 1.4690759512266786e-05,
308
+ "loss": 1.3604,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.36,
313
+ "learning_rate": 1.4984574702512122e-05,
314
+ "loss": 1.5697,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.37,
319
+ "learning_rate": 1.527838989275746e-05,
320
+ "loss": 1.3266,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.37,
325
+ "learning_rate": 1.5572205083002795e-05,
326
+ "loss": 1.2487,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.38,
331
+ "learning_rate": 1.586602027324813e-05,
332
+ "loss": 1.3963,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.39,
337
+ "learning_rate": 1.6159835463493464e-05,
338
+ "loss": 1.3293,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.39,
343
+ "learning_rate": 1.64536506537388e-05,
344
+ "loss": 1.5669,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.4,
349
+ "learning_rate": 1.6747465843984136e-05,
350
+ "loss": 1.3252,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.41,
355
+ "learning_rate": 1.7041281034229472e-05,
356
+ "loss": 1.3639,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.42,
361
+ "learning_rate": 1.733509622447481e-05,
362
+ "loss": 1.3889,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.42,
367
+ "learning_rate": 1.762891141472014e-05,
368
+ "loss": 1.3824,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.43,
373
+ "learning_rate": 1.7922726604965478e-05,
374
+ "loss": 1.4756,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.44,
379
+ "learning_rate": 1.8216541795210814e-05,
380
+ "loss": 1.2453,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.44,
385
+ "learning_rate": 1.851035698545615e-05,
386
+ "loss": 1.454,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.45,
391
+ "learning_rate": 1.8804172175701486e-05,
392
+ "loss": 1.26,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.46,
397
+ "learning_rate": 1.9097987365946822e-05,
398
+ "loss": 1.2652,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.46,
403
+ "learning_rate": 1.9391802556192155e-05,
404
+ "loss": 1.424,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.47,
409
+ "learning_rate": 1.968561774643749e-05,
410
+ "loss": 1.4516,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.48,
415
+ "learning_rate": 1.9979432936682828e-05,
416
+ "loss": 1.4799,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.49,
421
+ "learning_rate": 2.0273248126928164e-05,
422
+ "loss": 1.3161,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.49,
427
+ "learning_rate": 2.05670633171735e-05,
428
+ "loss": 1.4528,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.5,
433
+ "learning_rate": 2.0860878507418836e-05,
434
+ "loss": 1.54,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.51,
439
+ "learning_rate": 2.1154693697664172e-05,
440
+ "loss": 1.3282,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.51,
445
+ "learning_rate": 2.144850888790951e-05,
446
+ "loss": 1.2715,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.52,
451
+ "learning_rate": 2.1742324078154845e-05,
452
+ "loss": 1.616,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.53,
457
+ "learning_rate": 2.203613926840018e-05,
458
+ "loss": 1.451,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.54,
463
+ "learning_rate": 2.2329954458645517e-05,
464
+ "loss": 1.3391,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.54,
469
+ "learning_rate": 2.2623769648890853e-05,
470
+ "loss": 1.3733,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.55,
475
+ "learning_rate": 2.2917584839136186e-05,
476
+ "loss": 1.2611,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.56,
481
+ "learning_rate": 2.3211400029381523e-05,
482
+ "loss": 1.2367,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.56,
487
+ "learning_rate": 2.350521521962686e-05,
488
+ "loss": 1.3784,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.57,
493
+ "learning_rate": 2.3799030409872195e-05,
494
+ "loss": 1.2371,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.58,
499
+ "learning_rate": 2.409284560011753e-05,
500
+ "loss": 1.326,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.58,
505
+ "learning_rate": 2.4386660790362864e-05,
506
+ "loss": 1.5421,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.59,
511
+ "learning_rate": 2.46804759806082e-05,
512
+ "loss": 1.5432,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.6,
517
+ "learning_rate": 2.4974291170853536e-05,
518
+ "loss": 1.4241,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.61,
523
+ "learning_rate": 2.526810636109887e-05,
524
+ "loss": 1.4539,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.61,
529
+ "learning_rate": 2.556192155134421e-05,
530
+ "loss": 1.3261,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.62,
535
+ "learning_rate": 2.585573674158954e-05,
536
+ "loss": 1.3152,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.63,
541
+ "learning_rate": 2.614955193183488e-05,
542
+ "loss": 1.4292,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.63,
547
+ "learning_rate": 2.6443367122080214e-05,
548
+ "loss": 1.1705,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.64,
553
+ "learning_rate": 2.6737182312325554e-05,
554
+ "loss": 1.1443,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.65,
559
+ "learning_rate": 2.7030997502570886e-05,
560
+ "loss": 1.4355,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.65,
565
+ "learning_rate": 2.732481269281622e-05,
566
+ "loss": 1.3192,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.66,
571
+ "learning_rate": 2.761862788306156e-05,
572
+ "loss": 1.4356,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.67,
577
+ "learning_rate": 2.791244307330689e-05,
578
+ "loss": 1.1797,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.68,
583
+ "learning_rate": 2.820625826355223e-05,
584
+ "loss": 1.1635,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.68,
589
+ "learning_rate": 2.8500073453797564e-05,
590
+ "loss": 1.2257,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.69,
595
+ "learning_rate": 2.87938886440429e-05,
596
+ "loss": 1.322,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.7,
601
+ "learning_rate": 2.9087703834288236e-05,
602
+ "loss": 1.3281,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.7,
607
+ "learning_rate": 2.9381519024533573e-05,
608
+ "loss": 1.0323,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 0.71,
613
+ "learning_rate": 2.967533421477891e-05,
614
+ "loss": 1.1299,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 0.72,
619
+ "learning_rate": 2.9969149405024245e-05,
620
+ "loss": 1.2833,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 0.73,
625
+ "learning_rate": 3.0262964595269578e-05,
626
+ "loss": 1.3501,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 0.73,
631
+ "learning_rate": 3.055677978551492e-05,
632
+ "loss": 1.1508,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 0.74,
637
+ "learning_rate": 3.085059497576025e-05,
638
+ "loss": 1.418,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 0.75,
643
+ "learning_rate": 3.114441016600559e-05,
644
+ "loss": 1.2717,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 0.75,
649
+ "learning_rate": 3.143822535625092e-05,
650
+ "loss": 1.3274,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 0.76,
655
+ "learning_rate": 3.173204054649626e-05,
656
+ "loss": 1.3633,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 0.77,
661
+ "learning_rate": 3.202585573674159e-05,
662
+ "loss": 1.2618,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 0.77,
667
+ "learning_rate": 3.231967092698693e-05,
668
+ "loss": 1.4994,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 0.78,
673
+ "learning_rate": 3.2613486117232264e-05,
674
+ "loss": 1.4325,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 0.79,
679
+ "learning_rate": 3.29073013074776e-05,
680
+ "loss": 1.3578,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 0.8,
685
+ "learning_rate": 3.3201116497722936e-05,
686
+ "loss": 1.2844,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 0.8,
691
+ "learning_rate": 3.349493168796827e-05,
692
+ "loss": 1.1555,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 0.81,
697
+ "learning_rate": 3.378874687821361e-05,
698
+ "loss": 1.3242,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 0.82,
703
+ "learning_rate": 3.4082562068458945e-05,
704
+ "loss": 1.1545,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 0.82,
709
+ "learning_rate": 3.437637725870428e-05,
710
+ "loss": 1.1827,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 0.83,
715
+ "learning_rate": 3.467019244894962e-05,
716
+ "loss": 1.5443,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 0.84,
721
+ "learning_rate": 3.4964007639194954e-05,
722
+ "loss": 1.1105,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 0.85,
727
+ "learning_rate": 3.525782282944028e-05,
728
+ "loss": 1.3643,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 0.85,
733
+ "learning_rate": 3.5551638019685626e-05,
734
+ "loss": 1.335,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 0.86,
739
+ "learning_rate": 3.5845453209930955e-05,
740
+ "loss": 1.2855,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 0.87,
745
+ "learning_rate": 3.61392684001763e-05,
746
+ "loss": 1.5569,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 0.87,
751
+ "learning_rate": 3.643308359042163e-05,
752
+ "loss": 1.3648,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 0.88,
757
+ "learning_rate": 3.672689878066697e-05,
758
+ "loss": 1.1981,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 0.89,
763
+ "learning_rate": 3.70207139709123e-05,
764
+ "loss": 1.281,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 0.89,
769
+ "learning_rate": 3.7314529161157636e-05,
770
+ "loss": 1.2883,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 0.9,
775
+ "learning_rate": 3.760834435140297e-05,
776
+ "loss": 1.4385,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 0.91,
781
+ "learning_rate": 3.790215954164831e-05,
782
+ "loss": 1.4013,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 0.92,
787
+ "learning_rate": 3.8195974731893645e-05,
788
+ "loss": 1.3303,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 0.92,
793
+ "learning_rate": 3.848978992213898e-05,
794
+ "loss": 1.3222,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 0.93,
799
+ "learning_rate": 3.878360511238431e-05,
800
+ "loss": 1.3686,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 0.94,
805
+ "learning_rate": 3.9077420302629654e-05,
806
+ "loss": 1.3684,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 0.94,
811
+ "learning_rate": 3.937123549287498e-05,
812
+ "loss": 1.3496,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 0.95,
817
+ "learning_rate": 3.9665050683120326e-05,
818
+ "loss": 1.2483,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 0.96,
823
+ "learning_rate": 3.9958865873365655e-05,
824
+ "loss": 1.3186,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 0.96,
829
+ "learning_rate": 4.025268106361099e-05,
830
+ "loss": 1.3585,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 0.97,
835
+ "learning_rate": 4.054649625385633e-05,
836
+ "loss": 1.1332,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 0.98,
841
+ "learning_rate": 4.0840311444101664e-05,
842
+ "loss": 1.3868,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 0.99,
847
+ "learning_rate": 4.1134126634347e-05,
848
+ "loss": 1.5011,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 0.99,
853
+ "learning_rate": 4.1427941824592336e-05,
854
+ "loss": 1.2125,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 1.0,
859
+ "learning_rate": 4.172175701483767e-05,
860
+ "loss": 1.2079,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 1.01,
865
+ "learning_rate": 4.201557220508301e-05,
866
+ "loss": 1.5137,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 1.01,
871
+ "learning_rate": 4.2309387395328345e-05,
872
+ "loss": 1.0962,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 1.02,
877
+ "learning_rate": 4.260320258557368e-05,
878
+ "loss": 1.0864,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 1.03,
883
+ "learning_rate": 4.289701777581902e-05,
884
+ "loss": 1.433,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 1.04,
889
+ "learning_rate": 4.3190832966064354e-05,
890
+ "loss": 1.1769,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 1.04,
895
+ "learning_rate": 4.348464815630969e-05,
896
+ "loss": 1.3221,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 1.05,
901
+ "learning_rate": 4.377846334655502e-05,
902
+ "loss": 1.3977,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 1.06,
907
+ "learning_rate": 4.407227853680036e-05,
908
+ "loss": 1.1165,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 1.06,
913
+ "learning_rate": 4.436609372704569e-05,
914
+ "loss": 1.2971,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 1.07,
919
+ "learning_rate": 4.4659908917291035e-05,
920
+ "loss": 1.0846,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 1.08,
925
+ "learning_rate": 4.4953724107536364e-05,
926
+ "loss": 1.2692,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 1.08,
931
+ "learning_rate": 4.524753929778171e-05,
932
+ "loss": 1.6022,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 1.09,
937
+ "learning_rate": 4.5541354488027036e-05,
938
+ "loss": 1.2185,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 1.1,
943
+ "learning_rate": 4.583516967827237e-05,
944
+ "loss": 1.1814,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 1.11,
949
+ "learning_rate": 4.612898486851771e-05,
950
+ "loss": 1.2761,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 1.11,
955
+ "learning_rate": 4.6422800058763045e-05,
956
+ "loss": 1.3127,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 1.12,
961
+ "learning_rate": 4.671661524900838e-05,
962
+ "loss": 1.4407,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 1.13,
967
+ "learning_rate": 4.701043043925372e-05,
968
+ "loss": 1.3185,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 1.13,
973
+ "learning_rate": 4.730424562949905e-05,
974
+ "loss": 1.2999,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 1.14,
979
+ "learning_rate": 4.759806081974439e-05,
980
+ "loss": 1.364,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 1.15,
985
+ "learning_rate": 4.789187600998972e-05,
986
+ "loss": 1.0288,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 1.15,
991
+ "learning_rate": 4.818569120023506e-05,
992
+ "loss": 1.4062,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 1.16,
997
+ "learning_rate": 4.847950639048039e-05,
998
+ "loss": 1.3316,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 1.17,
1003
+ "learning_rate": 4.877332158072573e-05,
1004
+ "loss": 1.5267,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 1.18,
1009
+ "learning_rate": 4.9067136770971064e-05,
1010
+ "loss": 1.3439,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 1.18,
1015
+ "learning_rate": 4.93609519612164e-05,
1016
+ "loss": 1.2067,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 1.19,
1021
+ "learning_rate": 4.9654767151461736e-05,
1022
+ "loss": 1.2325,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 1.2,
1027
+ "learning_rate": 4.994858234170707e-05,
1028
+ "loss": 1.082,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 1.2,
1033
+ "learning_rate": 5.024239753195241e-05,
1034
+ "loss": 1.2253,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 1.21,
1039
+ "learning_rate": 5.053621272219774e-05,
1040
+ "loss": 1.3254,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 1.22,
1045
+ "learning_rate": 5.083002791244308e-05,
1046
+ "loss": 1.4549,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 1.23,
1051
+ "learning_rate": 5.112384310268842e-05,
1052
+ "loss": 1.1586,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 1.23,
1057
+ "learning_rate": 5.1417658292933754e-05,
1058
+ "loss": 1.3143,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 1.24,
1063
+ "learning_rate": 5.171147348317908e-05,
1064
+ "loss": 1.2859,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 1.25,
1069
+ "learning_rate": 5.2005288673424426e-05,
1070
+ "loss": 1.4026,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 1.25,
1075
+ "learning_rate": 5.229910386366976e-05,
1076
+ "loss": 1.5041,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 1.26,
1081
+ "learning_rate": 5.259291905391509e-05,
1082
+ "loss": 1.3742,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 1.27,
1087
+ "learning_rate": 5.288673424416043e-05,
1088
+ "loss": 1.2539,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 1.27,
1093
+ "learning_rate": 5.318054943440577e-05,
1094
+ "loss": 1.3051,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 1.28,
1099
+ "learning_rate": 5.347436462465111e-05,
1100
+ "loss": 1.291,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 1.29,
1105
+ "learning_rate": 5.3768179814896436e-05,
1106
+ "loss": 1.2192,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 1.3,
1111
+ "learning_rate": 5.406199500514177e-05,
1112
+ "loss": 1.312,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 1.3,
1117
+ "learning_rate": 5.4355810195387116e-05,
1118
+ "loss": 1.2242,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 1.31,
1123
+ "learning_rate": 5.464962538563244e-05,
1124
+ "loss": 1.4149,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 1.32,
1129
+ "learning_rate": 5.494344057587778e-05,
1130
+ "loss": 1.0762,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 1.32,
1135
+ "learning_rate": 5.523725576612312e-05,
1136
+ "loss": 1.5351,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 1.33,
1141
+ "learning_rate": 5.553107095636845e-05,
1142
+ "loss": 1.2344,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 1.34,
1147
+ "learning_rate": 5.582488614661378e-05,
1148
+ "loss": 1.4752,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 1.35,
1153
+ "learning_rate": 5.6118701336859126e-05,
1154
+ "loss": 1.4017,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 1.35,
1159
+ "learning_rate": 5.641251652710446e-05,
1160
+ "loss": 1.2617,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 1.36,
1165
+ "learning_rate": 5.670633171734979e-05,
1166
+ "loss": 1.4561,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 1.37,
1171
+ "learning_rate": 5.700014690759513e-05,
1172
+ "loss": 1.2679,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 1.37,
1177
+ "learning_rate": 5.729396209784047e-05,
1178
+ "loss": 1.171,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 1.38,
1183
+ "learning_rate": 5.75877772880858e-05,
1184
+ "loss": 1.277,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 1.39,
1189
+ "learning_rate": 5.7881592478331136e-05,
1190
+ "loss": 1.1648,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 1.39,
1195
+ "learning_rate": 5.817540766857647e-05,
1196
+ "loss": 1.4565,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 1.4,
1201
+ "learning_rate": 5.8469222858821816e-05,
1202
+ "loss": 1.246,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 1.41,
1207
+ "learning_rate": 5.8763038049067145e-05,
1208
+ "loss": 1.2742,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 1.42,
1213
+ "learning_rate": 5.905685323931248e-05,
1214
+ "loss": 1.2846,
1215
+ "step": 201
1216
+ },
1217
+ {
1218
+ "epoch": 1.42,
1219
+ "learning_rate": 5.935066842955782e-05,
1220
+ "loss": 1.3021,
1221
+ "step": 202
1222
+ },
1223
+ {
1224
+ "epoch": 1.43,
1225
+ "learning_rate": 5.964448361980315e-05,
1226
+ "loss": 1.4153,
1227
+ "step": 203
1228
+ },
1229
+ {
1230
+ "epoch": 1.44,
1231
+ "learning_rate": 5.993829881004849e-05,
1232
+ "loss": 1.1717,
1233
+ "step": 204
1234
+ },
1235
+ {
1236
+ "epoch": 1.44,
1237
+ "learning_rate": 6.0232114000293826e-05,
1238
+ "loss": 1.3415,
1239
+ "step": 205
1240
+ },
1241
+ {
1242
+ "epoch": 1.45,
1243
+ "learning_rate": 6.0525929190539155e-05,
1244
+ "loss": 1.19,
1245
+ "step": 206
1246
+ },
1247
+ {
1248
+ "epoch": 1.46,
1249
+ "learning_rate": 6.081974438078449e-05,
1250
+ "loss": 1.1805,
1251
+ "step": 207
1252
+ },
1253
+ {
1254
+ "epoch": 1.46,
1255
+ "learning_rate": 6.111355957102983e-05,
1256
+ "loss": 1.3612,
1257
+ "step": 208
1258
+ },
1259
+ {
1260
+ "epoch": 1.47,
1261
+ "learning_rate": 6.140737476127517e-05,
1262
+ "loss": 1.3753,
1263
+ "step": 209
1264
+ },
1265
+ {
1266
+ "epoch": 1.48,
1267
+ "learning_rate": 6.17011899515205e-05,
1268
+ "loss": 1.3976,
1269
+ "step": 210
1270
+ },
1271
+ {
1272
+ "epoch": 1.49,
1273
+ "learning_rate": 6.199500514176584e-05,
1274
+ "loss": 1.2598,
1275
+ "step": 211
1276
+ },
1277
+ {
1278
+ "epoch": 1.49,
1279
+ "learning_rate": 6.228882033201118e-05,
1280
+ "loss": 1.3799,
1281
+ "step": 212
1282
+ },
1283
+ {
1284
+ "epoch": 1.5,
1285
+ "learning_rate": 6.25826355222565e-05,
1286
+ "loss": 1.4741,
1287
+ "step": 213
1288
+ },
1289
+ {
1290
+ "epoch": 1.51,
1291
+ "learning_rate": 6.287645071250184e-05,
1292
+ "loss": 1.2601,
1293
+ "step": 214
1294
+ },
1295
+ {
1296
+ "epoch": 1.51,
1297
+ "learning_rate": 6.317026590274719e-05,
1298
+ "loss": 1.1886,
1299
+ "step": 215
1300
+ },
1301
+ {
1302
+ "epoch": 1.52,
1303
+ "learning_rate": 6.346408109299252e-05,
1304
+ "loss": 1.5535,
1305
+ "step": 216
1306
+ },
1307
+ {
1308
+ "epoch": 1.53,
1309
+ "learning_rate": 6.375789628323785e-05,
1310
+ "loss": 1.3573,
1311
+ "step": 217
1312
+ },
1313
+ {
1314
+ "epoch": 1.54,
1315
+ "learning_rate": 6.405171147348318e-05,
1316
+ "loss": 1.2504,
1317
+ "step": 218
1318
+ },
1319
+ {
1320
+ "epoch": 1.54,
1321
+ "learning_rate": 6.434552666372853e-05,
1322
+ "loss": 1.3212,
1323
+ "step": 219
1324
+ },
1325
+ {
1326
+ "epoch": 1.55,
1327
+ "learning_rate": 6.463934185397386e-05,
1328
+ "loss": 1.177,
1329
+ "step": 220
1330
+ },
1331
+ {
1332
+ "epoch": 1.56,
1333
+ "learning_rate": 6.493315704421919e-05,
1334
+ "loss": 1.1466,
1335
+ "step": 221
1336
+ },
1337
+ {
1338
+ "epoch": 1.56,
1339
+ "learning_rate": 6.522697223446453e-05,
1340
+ "loss": 1.3115,
1341
+ "step": 222
1342
+ },
1343
+ {
1344
+ "epoch": 1.57,
1345
+ "learning_rate": 6.552078742470986e-05,
1346
+ "loss": 1.163,
1347
+ "step": 223
1348
+ },
1349
+ {
1350
+ "epoch": 1.58,
1351
+ "learning_rate": 6.58146026149552e-05,
1352
+ "loss": 1.2517,
1353
+ "step": 224
1354
+ },
1355
+ {
1356
+ "epoch": 1.58,
1357
+ "learning_rate": 6.610841780520054e-05,
1358
+ "loss": 1.4645,
1359
+ "step": 225
1360
+ },
1361
+ {
1362
+ "epoch": 1.59,
1363
+ "learning_rate": 6.640223299544587e-05,
1364
+ "loss": 1.5033,
1365
+ "step": 226
1366
+ },
1367
+ {
1368
+ "epoch": 1.6,
1369
+ "learning_rate": 6.669604818569121e-05,
1370
+ "loss": 1.367,
1371
+ "step": 227
1372
+ },
1373
+ {
1374
+ "epoch": 1.61,
1375
+ "learning_rate": 6.698986337593655e-05,
1376
+ "loss": 1.3936,
1377
+ "step": 228
1378
+ },
1379
+ {
1380
+ "epoch": 1.61,
1381
+ "learning_rate": 6.728367856618188e-05,
1382
+ "loss": 1.2716,
1383
+ "step": 229
1384
+ },
1385
+ {
1386
+ "epoch": 1.62,
1387
+ "learning_rate": 6.757749375642722e-05,
1388
+ "loss": 1.2563,
1389
+ "step": 230
1390
+ },
1391
+ {
1392
+ "epoch": 1.63,
1393
+ "learning_rate": 6.787130894667255e-05,
1394
+ "loss": 1.3766,
1395
+ "step": 231
1396
+ },
1397
+ {
1398
+ "epoch": 1.63,
1399
+ "learning_rate": 6.816512413691789e-05,
1400
+ "loss": 1.1206,
1401
+ "step": 232
1402
+ },
1403
+ {
1404
+ "epoch": 1.64,
1405
+ "learning_rate": 6.845893932716323e-05,
1406
+ "loss": 1.0943,
1407
+ "step": 233
1408
+ },
1409
+ {
1410
+ "epoch": 1.65,
1411
+ "learning_rate": 6.875275451740856e-05,
1412
+ "loss": 1.3942,
1413
+ "step": 234
1414
+ },
1415
+ {
1416
+ "epoch": 1.65,
1417
+ "learning_rate": 6.90465697076539e-05,
1418
+ "loss": 1.2673,
1419
+ "step": 235
1420
+ },
1421
+ {
1422
+ "epoch": 1.66,
1423
+ "learning_rate": 6.934038489789923e-05,
1424
+ "loss": 1.3732,
1425
+ "step": 236
1426
+ },
1427
+ {
1428
+ "epoch": 1.67,
1429
+ "learning_rate": 6.963420008814456e-05,
1430
+ "loss": 1.1018,
1431
+ "step": 237
1432
+ },
1433
+ {
1434
+ "epoch": 1.68,
1435
+ "learning_rate": 6.992801527838991e-05,
1436
+ "loss": 1.1131,
1437
+ "step": 238
1438
+ },
1439
+ {
1440
+ "epoch": 1.68,
1441
+ "learning_rate": 7.022183046863524e-05,
1442
+ "loss": 1.178,
1443
+ "step": 239
1444
+ },
1445
+ {
1446
+ "epoch": 1.69,
1447
+ "learning_rate": 7.051564565888057e-05,
1448
+ "loss": 1.2849,
1449
+ "step": 240
1450
+ },
1451
+ {
1452
+ "epoch": 1.7,
1453
+ "learning_rate": 7.08094608491259e-05,
1454
+ "loss": 1.2847,
1455
+ "step": 241
1456
+ },
1457
+ {
1458
+ "epoch": 1.7,
1459
+ "learning_rate": 7.110327603937125e-05,
1460
+ "loss": 0.9812,
1461
+ "step": 242
1462
+ },
1463
+ {
1464
+ "epoch": 1.71,
1465
+ "learning_rate": 7.139709122961659e-05,
1466
+ "loss": 1.0997,
1467
+ "step": 243
1468
+ },
1469
+ {
1470
+ "epoch": 1.72,
1471
+ "learning_rate": 7.169090641986191e-05,
1472
+ "loss": 1.2575,
1473
+ "step": 244
1474
+ },
1475
+ {
1476
+ "epoch": 1.73,
1477
+ "learning_rate": 7.198472161010725e-05,
1478
+ "loss": 1.3092,
1479
+ "step": 245
1480
+ },
1481
+ {
1482
+ "epoch": 1.73,
1483
+ "learning_rate": 7.22785368003526e-05,
1484
+ "loss": 1.1123,
1485
+ "step": 246
1486
+ },
1487
+ {
1488
+ "epoch": 1.74,
1489
+ "learning_rate": 7.257235199059792e-05,
1490
+ "loss": 1.3787,
1491
+ "step": 247
1492
+ },
1493
+ {
1494
+ "epoch": 1.75,
1495
+ "learning_rate": 7.286616718084326e-05,
1496
+ "loss": 1.2164,
1497
+ "step": 248
1498
+ },
1499
+ {
1500
+ "epoch": 1.75,
1501
+ "learning_rate": 7.315998237108859e-05,
1502
+ "loss": 1.2863,
1503
+ "step": 249
1504
+ },
1505
+ {
1506
+ "epoch": 1.76,
1507
+ "learning_rate": 7.345379756133394e-05,
1508
+ "loss": 1.3277,
1509
+ "step": 250
1510
+ },
1511
+ {
1512
+ "epoch": 1.77,
1513
+ "learning_rate": 7.374761275157926e-05,
1514
+ "loss": 1.2248,
1515
+ "step": 251
1516
+ },
1517
+ {
1518
+ "epoch": 1.77,
1519
+ "learning_rate": 7.40414279418246e-05,
1520
+ "loss": 1.4587,
1521
+ "step": 252
1522
+ },
1523
+ {
1524
+ "epoch": 1.78,
1525
+ "learning_rate": 7.433524313206994e-05,
1526
+ "loss": 1.3788,
1527
+ "step": 253
1528
+ },
1529
+ {
1530
+ "epoch": 1.79,
1531
+ "learning_rate": 7.462905832231527e-05,
1532
+ "loss": 1.3173,
1533
+ "step": 254
1534
+ },
1535
+ {
1536
+ "epoch": 1.8,
1537
+ "learning_rate": 7.492287351256061e-05,
1538
+ "loss": 1.2555,
1539
+ "step": 255
1540
+ },
1541
+ {
1542
+ "epoch": 1.8,
1543
+ "learning_rate": 7.521668870280595e-05,
1544
+ "loss": 1.1032,
1545
+ "step": 256
1546
+ },
1547
+ {
1548
+ "epoch": 1.81,
1549
+ "learning_rate": 7.551050389305128e-05,
1550
+ "loss": 1.271,
1551
+ "step": 257
1552
+ },
1553
+ {
1554
+ "epoch": 1.82,
1555
+ "learning_rate": 7.580431908329662e-05,
1556
+ "loss": 1.1156,
1557
+ "step": 258
1558
+ },
1559
+ {
1560
+ "epoch": 1.82,
1561
+ "learning_rate": 7.609813427354195e-05,
1562
+ "loss": 1.1455,
1563
+ "step": 259
1564
+ },
1565
+ {
1566
+ "epoch": 1.83,
1567
+ "learning_rate": 7.639194946378729e-05,
1568
+ "loss": 1.4856,
1569
+ "step": 260
1570
+ },
1571
+ {
1572
+ "epoch": 1.84,
1573
+ "learning_rate": 7.668576465403263e-05,
1574
+ "loss": 1.0758,
1575
+ "step": 261
1576
+ },
1577
+ {
1578
+ "epoch": 1.85,
1579
+ "learning_rate": 7.697957984427796e-05,
1580
+ "loss": 1.3166,
1581
+ "step": 262
1582
+ },
1583
+ {
1584
+ "epoch": 1.85,
1585
+ "learning_rate": 7.72733950345233e-05,
1586
+ "loss": 1.2848,
1587
+ "step": 263
1588
+ },
1589
+ {
1590
+ "epoch": 1.86,
1591
+ "learning_rate": 7.756721022476862e-05,
1592
+ "loss": 1.2372,
1593
+ "step": 264
1594
+ },
1595
+ {
1596
+ "epoch": 1.87,
1597
+ "learning_rate": 7.786102541501397e-05,
1598
+ "loss": 1.4906,
1599
+ "step": 265
1600
+ },
1601
+ {
1602
+ "epoch": 1.87,
1603
+ "learning_rate": 7.815484060525931e-05,
1604
+ "loss": 1.3265,
1605
+ "step": 266
1606
+ },
1607
+ {
1608
+ "epoch": 1.88,
1609
+ "learning_rate": 7.844865579550464e-05,
1610
+ "loss": 1.1439,
1611
+ "step": 267
1612
+ },
1613
+ {
1614
+ "epoch": 1.89,
1615
+ "learning_rate": 7.874247098574997e-05,
1616
+ "loss": 1.2426,
1617
+ "step": 268
1618
+ },
1619
+ {
1620
+ "epoch": 1.89,
1621
+ "learning_rate": 7.903628617599532e-05,
1622
+ "loss": 1.2351,
1623
+ "step": 269
1624
+ },
1625
+ {
1626
+ "epoch": 1.9,
1627
+ "learning_rate": 7.933010136624065e-05,
1628
+ "loss": 1.3957,
1629
+ "step": 270
1630
+ },
1631
+ {
1632
+ "epoch": 1.91,
1633
+ "learning_rate": 7.962391655648597e-05,
1634
+ "loss": 1.3555,
1635
+ "step": 271
1636
+ },
1637
+ {
1638
+ "epoch": 1.92,
1639
+ "learning_rate": 7.991773174673131e-05,
1640
+ "loss": 1.2983,
1641
+ "step": 272
1642
+ },
1643
+ {
1644
+ "epoch": 1.92,
1645
+ "learning_rate": 8.021154693697666e-05,
1646
+ "loss": 1.2816,
1647
+ "step": 273
1648
+ },
1649
+ {
1650
+ "epoch": 1.93,
1651
+ "learning_rate": 8.050536212722198e-05,
1652
+ "loss": 1.3042,
1653
+ "step": 274
1654
+ },
1655
+ {
1656
+ "epoch": 1.94,
1657
+ "learning_rate": 8.079917731746732e-05,
1658
+ "loss": 1.3328,
1659
+ "step": 275
1660
+ },
1661
+ {
1662
+ "epoch": 1.94,
1663
+ "learning_rate": 8.109299250771266e-05,
1664
+ "loss": 1.2964,
1665
+ "step": 276
1666
+ },
1667
+ {
1668
+ "epoch": 1.95,
1669
+ "learning_rate": 8.1386807697958e-05,
1670
+ "loss": 1.1836,
1671
+ "step": 277
1672
+ },
1673
+ {
1674
+ "epoch": 1.96,
1675
+ "learning_rate": 8.168062288820333e-05,
1676
+ "loss": 1.2704,
1677
+ "step": 278
1678
+ },
1679
+ {
1680
+ "epoch": 1.96,
1681
+ "learning_rate": 8.197443807844866e-05,
1682
+ "loss": 1.3228,
1683
+ "step": 279
1684
+ },
1685
+ {
1686
+ "epoch": 1.97,
1687
+ "learning_rate": 8.2268253268694e-05,
1688
+ "loss": 1.0871,
1689
+ "step": 280
1690
+ },
1691
+ {
1692
+ "epoch": 1.98,
1693
+ "learning_rate": 8.256206845893934e-05,
1694
+ "loss": 1.3571,
1695
+ "step": 281
1696
+ },
1697
+ {
1698
+ "epoch": 1.99,
1699
+ "learning_rate": 8.285588364918467e-05,
1700
+ "loss": 1.4434,
1701
+ "step": 282
1702
+ },
1703
+ {
1704
+ "epoch": 1.99,
1705
+ "learning_rate": 8.314969883943001e-05,
1706
+ "loss": 1.1603,
1707
+ "step": 283
1708
+ },
1709
+ {
1710
+ "epoch": 2.0,
1711
+ "learning_rate": 8.344351402967535e-05,
1712
+ "loss": 1.1378,
1713
+ "step": 284
1714
+ },
1715
+ {
1716
+ "epoch": 2.01,
1717
+ "learning_rate": 8.373732921992068e-05,
1718
+ "loss": 1.4653,
1719
+ "step": 285
1720
+ },
1721
+ {
1722
+ "epoch": 2.01,
1723
+ "learning_rate": 8.403114441016602e-05,
1724
+ "loss": 1.0566,
1725
+ "step": 286
1726
+ },
1727
+ {
1728
+ "epoch": 2.02,
1729
+ "learning_rate": 8.432495960041135e-05,
1730
+ "loss": 1.0505,
1731
+ "step": 287
1732
+ },
1733
+ {
1734
+ "epoch": 2.03,
1735
+ "learning_rate": 8.461877479065669e-05,
1736
+ "loss": 1.3879,
1737
+ "step": 288
1738
+ },
1739
+ {
1740
+ "epoch": 2.04,
1741
+ "learning_rate": 8.491258998090203e-05,
1742
+ "loss": 1.1117,
1743
+ "step": 289
1744
+ },
1745
+ {
1746
+ "epoch": 2.04,
1747
+ "learning_rate": 8.520640517114736e-05,
1748
+ "loss": 1.2697,
1749
+ "step": 290
1750
+ },
1751
+ {
1752
+ "epoch": 2.05,
1753
+ "learning_rate": 8.55002203613927e-05,
1754
+ "loss": 1.3577,
1755
+ "step": 291
1756
+ },
1757
+ {
1758
+ "epoch": 2.06,
1759
+ "learning_rate": 8.579403555163803e-05,
1760
+ "loss": 1.0753,
1761
+ "step": 292
1762
+ },
1763
+ {
1764
+ "epoch": 2.06,
1765
+ "learning_rate": 8.608785074188337e-05,
1766
+ "loss": 1.2443,
1767
+ "step": 293
1768
+ },
1769
+ {
1770
+ "epoch": 2.07,
1771
+ "learning_rate": 8.638166593212871e-05,
1772
+ "loss": 1.047,
1773
+ "step": 294
1774
+ },
1775
+ {
1776
+ "epoch": 2.08,
1777
+ "learning_rate": 8.667548112237403e-05,
1778
+ "loss": 1.2097,
1779
+ "step": 295
1780
+ },
1781
+ {
1782
+ "epoch": 2.08,
1783
+ "learning_rate": 8.696929631261938e-05,
1784
+ "loss": 1.5352,
1785
+ "step": 296
1786
+ },
1787
+ {
1788
+ "epoch": 2.09,
1789
+ "learning_rate": 8.726311150286472e-05,
1790
+ "loss": 1.1819,
1791
+ "step": 297
1792
+ },
1793
+ {
1794
+ "epoch": 2.1,
1795
+ "learning_rate": 8.755692669311004e-05,
1796
+ "loss": 1.1436,
1797
+ "step": 298
1798
+ },
1799
+ {
1800
+ "epoch": 2.11,
1801
+ "learning_rate": 8.785074188335537e-05,
1802
+ "loss": 1.1968,
1803
+ "step": 299
1804
+ },
1805
+ {
1806
+ "epoch": 2.11,
1807
+ "learning_rate": 8.814455707360072e-05,
1808
+ "loss": 1.2693,
1809
+ "step": 300
1810
+ },
1811
+ {
1812
+ "epoch": 2.12,
1813
+ "learning_rate": 8.843837226384606e-05,
1814
+ "loss": 1.3791,
1815
+ "step": 301
1816
+ },
1817
+ {
1818
+ "epoch": 2.13,
1819
+ "learning_rate": 8.873218745409138e-05,
1820
+ "loss": 1.2777,
1821
+ "step": 302
1822
+ },
1823
+ {
1824
+ "epoch": 2.13,
1825
+ "learning_rate": 8.902600264433672e-05,
1826
+ "loss": 1.248,
1827
+ "step": 303
1828
+ },
1829
+ {
1830
+ "epoch": 2.14,
1831
+ "learning_rate": 8.931981783458207e-05,
1832
+ "loss": 1.2936,
1833
+ "step": 304
1834
+ },
1835
+ {
1836
+ "epoch": 2.15,
1837
+ "learning_rate": 8.961363302482739e-05,
1838
+ "loss": 0.9981,
1839
+ "step": 305
1840
+ },
1841
+ {
1842
+ "epoch": 2.15,
1843
+ "learning_rate": 8.990744821507273e-05,
1844
+ "loss": 1.3413,
1845
+ "step": 306
1846
+ },
1847
+ {
1848
+ "epoch": 2.16,
1849
+ "learning_rate": 9.020126340531806e-05,
1850
+ "loss": 1.2833,
1851
+ "step": 307
1852
+ },
1853
+ {
1854
+ "epoch": 2.17,
1855
+ "learning_rate": 9.049507859556341e-05,
1856
+ "loss": 1.4853,
1857
+ "step": 308
1858
+ },
1859
+ {
1860
+ "epoch": 2.18,
1861
+ "learning_rate": 9.078889378580874e-05,
1862
+ "loss": 1.2807,
1863
+ "step": 309
1864
+ },
1865
+ {
1866
+ "epoch": 2.18,
1867
+ "learning_rate": 9.108270897605407e-05,
1868
+ "loss": 1.1716,
1869
+ "step": 310
1870
+ },
1871
+ {
1872
+ "epoch": 2.19,
1873
+ "learning_rate": 9.137652416629941e-05,
1874
+ "loss": 1.1964,
1875
+ "step": 311
1876
+ },
1877
+ {
1878
+ "epoch": 2.2,
1879
+ "learning_rate": 9.167033935654475e-05,
1880
+ "loss": 1.0411,
1881
+ "step": 312
1882
+ },
1883
+ {
1884
+ "epoch": 2.2,
1885
+ "learning_rate": 9.196415454679008e-05,
1886
+ "loss": 1.1827,
1887
+ "step": 313
1888
+ },
1889
+ {
1890
+ "epoch": 2.21,
1891
+ "learning_rate": 9.225796973703542e-05,
1892
+ "loss": 1.2726,
1893
+ "step": 314
1894
+ },
1895
+ {
1896
+ "epoch": 2.22,
1897
+ "learning_rate": 9.255178492728075e-05,
1898
+ "loss": 1.4049,
1899
+ "step": 315
1900
+ },
1901
+ {
1902
+ "epoch": 2.23,
1903
+ "learning_rate": 9.284560011752609e-05,
1904
+ "loss": 1.09,
1905
+ "step": 316
1906
+ },
1907
+ {
1908
+ "epoch": 2.23,
1909
+ "learning_rate": 9.313941530777143e-05,
1910
+ "loss": 1.2616,
1911
+ "step": 317
1912
+ },
1913
+ {
1914
+ "epoch": 2.24,
1915
+ "learning_rate": 9.343323049801676e-05,
1916
+ "loss": 1.2126,
1917
+ "step": 318
1918
+ },
1919
+ {
1920
+ "epoch": 2.25,
1921
+ "learning_rate": 9.37270456882621e-05,
1922
+ "loss": 1.3458,
1923
+ "step": 319
1924
+ },
1925
+ {
1926
+ "epoch": 2.25,
1927
+ "learning_rate": 9.402086087850743e-05,
1928
+ "loss": 1.4486,
1929
+ "step": 320
1930
+ },
1931
+ {
1932
+ "epoch": 2.26,
1933
+ "learning_rate": 9.431467606875277e-05,
1934
+ "loss": 1.2901,
1935
+ "step": 321
1936
+ },
1937
+ {
1938
+ "epoch": 2.27,
1939
+ "learning_rate": 9.46084912589981e-05,
1940
+ "loss": 1.2061,
1941
+ "step": 322
1942
+ },
1943
+ {
1944
+ "epoch": 2.27,
1945
+ "learning_rate": 9.490230644924344e-05,
1946
+ "loss": 1.2587,
1947
+ "step": 323
1948
+ },
1949
+ {
1950
+ "epoch": 2.28,
1951
+ "learning_rate": 9.519612163948878e-05,
1952
+ "loss": 1.2236,
1953
+ "step": 324
1954
+ },
1955
+ {
1956
+ "epoch": 2.29,
1957
+ "learning_rate": 9.548993682973412e-05,
1958
+ "loss": 1.1454,
1959
+ "step": 325
1960
+ },
1961
+ {
1962
+ "epoch": 2.3,
1963
+ "learning_rate": 9.578375201997944e-05,
1964
+ "loss": 1.2289,
1965
+ "step": 326
1966
+ },
1967
+ {
1968
+ "epoch": 2.3,
1969
+ "learning_rate": 9.607756721022479e-05,
1970
+ "loss": 1.1934,
1971
+ "step": 327
1972
+ },
1973
+ {
1974
+ "epoch": 2.31,
1975
+ "learning_rate": 9.637138240047012e-05,
1976
+ "loss": 1.3799,
1977
+ "step": 328
1978
+ },
1979
+ {
1980
+ "epoch": 2.32,
1981
+ "learning_rate": 9.666519759071545e-05,
1982
+ "loss": 1.0258,
1983
+ "step": 329
1984
+ },
1985
+ {
1986
+ "epoch": 2.32,
1987
+ "learning_rate": 9.695901278096078e-05,
1988
+ "loss": 1.4939,
1989
+ "step": 330
1990
+ },
1991
+ {
1992
+ "epoch": 2.33,
1993
+ "learning_rate": 9.725282797120613e-05,
1994
+ "loss": 1.186,
1995
+ "step": 331
1996
+ },
1997
+ {
1998
+ "epoch": 2.34,
1999
+ "learning_rate": 9.754664316145146e-05,
2000
+ "loss": 1.4199,
2001
+ "step": 332
2002
+ },
2003
+ {
2004
+ "epoch": 2.35,
2005
+ "learning_rate": 9.784045835169679e-05,
2006
+ "loss": 1.3008,
2007
+ "step": 333
2008
+ },
2009
+ {
2010
+ "epoch": 2.35,
2011
+ "learning_rate": 9.813427354194213e-05,
2012
+ "loss": 1.1806,
2013
+ "step": 334
2014
+ },
2015
+ {
2016
+ "epoch": 2.36,
2017
+ "learning_rate": 9.842808873218748e-05,
2018
+ "loss": 1.3952,
2019
+ "step": 335
2020
+ },
2021
+ {
2022
+ "epoch": 2.37,
2023
+ "learning_rate": 9.87219039224328e-05,
2024
+ "loss": 1.2403,
2025
+ "step": 336
2026
+ },
2027
+ {
2028
+ "epoch": 2.37,
2029
+ "learning_rate": 9.901571911267814e-05,
2030
+ "loss": 1.1104,
2031
+ "step": 337
2032
+ },
2033
+ {
2034
+ "epoch": 2.38,
2035
+ "learning_rate": 9.930953430292347e-05,
2036
+ "loss": 1.2103,
2037
+ "step": 338
2038
+ },
2039
+ {
2040
+ "epoch": 2.39,
2041
+ "learning_rate": 9.960334949316881e-05,
2042
+ "loss": 1.0564,
2043
+ "step": 339
2044
+ },
2045
+ {
2046
+ "epoch": 2.39,
2047
+ "learning_rate": 9.989716468341415e-05,
2048
+ "loss": 1.3984,
2049
+ "step": 340
2050
+ },
2051
+ {
2052
+ "epoch": 2.4,
2053
+ "learning_rate": 9.99999963334151e-05,
2054
+ "loss": 1.2017,
2055
+ "step": 341
2056
+ },
2057
+ {
2058
+ "epoch": 2.41,
2059
+ "learning_rate": 9.999997637330952e-05,
2060
+ "loss": 1.2251,
2061
+ "step": 342
2062
+ },
2063
+ {
2064
+ "epoch": 2.42,
2065
+ "learning_rate": 9.99999390565975e-05,
2066
+ "loss": 1.2006,
2067
+ "step": 343
2068
+ },
2069
+ {
2070
+ "epoch": 2.42,
2071
+ "learning_rate": 9.999988438329202e-05,
2072
+ "loss": 1.236,
2073
+ "step": 344
2074
+ },
2075
+ {
2076
+ "epoch": 2.43,
2077
+ "learning_rate": 9.999981235341205e-05,
2078
+ "loss": 1.3684,
2079
+ "step": 345
2080
+ },
2081
+ {
2082
+ "epoch": 2.44,
2083
+ "learning_rate": 9.999972296698259e-05,
2084
+ "loss": 1.1272,
2085
+ "step": 346
2086
+ },
2087
+ {
2088
+ "epoch": 2.44,
2089
+ "learning_rate": 9.999961622403467e-05,
2090
+ "loss": 1.2259,
2091
+ "step": 347
2092
+ },
2093
+ {
2094
+ "epoch": 2.45,
2095
+ "learning_rate": 9.999949212460534e-05,
2096
+ "loss": 1.1502,
2097
+ "step": 348
2098
+ },
2099
+ {
2100
+ "epoch": 2.46,
2101
+ "learning_rate": 9.999935066873766e-05,
2102
+ "loss": 1.1134,
2103
+ "step": 349
2104
+ },
2105
+ {
2106
+ "epoch": 2.46,
2107
+ "learning_rate": 9.999919185648079e-05,
2108
+ "loss": 1.306,
2109
+ "step": 350
2110
+ },
2111
+ {
2112
+ "epoch": 2.47,
2113
+ "learning_rate": 9.99990156878898e-05,
2114
+ "loss": 1.3023,
2115
+ "step": 351
2116
+ },
2117
+ {
2118
+ "epoch": 2.48,
2119
+ "learning_rate": 9.999882216302589e-05,
2120
+ "loss": 1.3383,
2121
+ "step": 352
2122
+ },
2123
+ {
2124
+ "epoch": 2.49,
2125
+ "learning_rate": 9.99986112819562e-05,
2126
+ "loss": 1.2076,
2127
+ "step": 353
2128
+ },
2129
+ {
2130
+ "epoch": 2.49,
2131
+ "learning_rate": 9.999838304475396e-05,
2132
+ "loss": 1.3298,
2133
+ "step": 354
2134
+ },
2135
+ {
2136
+ "epoch": 2.5,
2137
+ "learning_rate": 9.99981374514984e-05,
2138
+ "loss": 1.4117,
2139
+ "step": 355
2140
+ },
2141
+ {
2142
+ "epoch": 2.51,
2143
+ "learning_rate": 9.999787450227475e-05,
2144
+ "loss": 1.2157,
2145
+ "step": 356
2146
+ },
2147
+ {
2148
+ "epoch": 2.51,
2149
+ "learning_rate": 9.999759419717429e-05,
2150
+ "loss": 1.1052,
2151
+ "step": 357
2152
+ },
2153
+ {
2154
+ "epoch": 2.52,
2155
+ "learning_rate": 9.999729653629435e-05,
2156
+ "loss": 1.4931,
2157
+ "step": 358
2158
+ },
2159
+ {
2160
+ "epoch": 2.53,
2161
+ "learning_rate": 9.999698151973824e-05,
2162
+ "loss": 1.2367,
2163
+ "step": 359
2164
+ },
2165
+ {
2166
+ "epoch": 2.54,
2167
+ "learning_rate": 9.999664914761532e-05,
2168
+ "loss": 1.1763,
2169
+ "step": 360
2170
+ },
2171
+ {
2172
+ "epoch": 2.54,
2173
+ "learning_rate": 9.999629942004095e-05,
2174
+ "loss": 1.2708,
2175
+ "step": 361
2176
+ },
2177
+ {
2178
+ "epoch": 2.55,
2179
+ "learning_rate": 9.999593233713654e-05,
2180
+ "loss": 1.114,
2181
+ "step": 362
2182
+ },
2183
+ {
2184
+ "epoch": 2.56,
2185
+ "learning_rate": 9.999554789902954e-05,
2186
+ "loss": 1.066,
2187
+ "step": 363
2188
+ },
2189
+ {
2190
+ "epoch": 2.56,
2191
+ "learning_rate": 9.999514610585336e-05,
2192
+ "loss": 1.223,
2193
+ "step": 364
2194
+ },
2195
+ {
2196
+ "epoch": 2.57,
2197
+ "learning_rate": 9.99947269577475e-05,
2198
+ "loss": 1.1002,
2199
+ "step": 365
2200
+ },
2201
+ {
2202
+ "epoch": 2.58,
2203
+ "learning_rate": 9.999429045485746e-05,
2204
+ "loss": 1.1679,
2205
+ "step": 366
2206
+ },
2207
+ {
2208
+ "epoch": 2.58,
2209
+ "learning_rate": 9.999383659733476e-05,
2210
+ "loss": 1.3512,
2211
+ "step": 367
2212
+ },
2213
+ {
2214
+ "epoch": 2.59,
2215
+ "learning_rate": 9.999336538533694e-05,
2216
+ "loss": 1.445,
2217
+ "step": 368
2218
+ },
2219
+ {
2220
+ "epoch": 2.6,
2221
+ "learning_rate": 9.99928768190276e-05,
2222
+ "loss": 1.2979,
2223
+ "step": 369
2224
+ },
2225
+ {
2226
+ "epoch": 2.61,
2227
+ "learning_rate": 9.99923708985763e-05,
2228
+ "loss": 1.3093,
2229
+ "step": 370
2230
+ },
2231
+ {
2232
+ "epoch": 2.61,
2233
+ "learning_rate": 9.999184762415869e-05,
2234
+ "loss": 1.2169,
2235
+ "step": 371
2236
+ },
2237
+ {
2238
+ "epoch": 2.62,
2239
+ "learning_rate": 9.99913069959564e-05,
2240
+ "loss": 1.1727,
2241
+ "step": 372
2242
+ },
2243
+ {
2244
+ "epoch": 2.63,
2245
+ "learning_rate": 9.99907490141571e-05,
2246
+ "loss": 1.2972,
2247
+ "step": 373
2248
+ },
2249
+ {
2250
+ "epoch": 2.63,
2251
+ "learning_rate": 9.999017367895449e-05,
2252
+ "loss": 1.0836,
2253
+ "step": 374
2254
+ },
2255
+ {
2256
+ "epoch": 2.64,
2257
+ "learning_rate": 9.99895809905483e-05,
2258
+ "loss": 1.0422,
2259
+ "step": 375
2260
+ },
2261
+ {
2262
+ "epoch": 2.65,
2263
+ "learning_rate": 9.998897094914424e-05,
2264
+ "loss": 1.3384,
2265
+ "step": 376
2266
+ },
2267
+ {
2268
+ "epoch": 2.65,
2269
+ "learning_rate": 9.99883435549541e-05,
2270
+ "loss": 1.19,
2271
+ "step": 377
2272
+ },
2273
+ {
2274
+ "epoch": 2.66,
2275
+ "learning_rate": 9.998769880819565e-05,
2276
+ "loss": 1.2808,
2277
+ "step": 378
2278
+ },
2279
+ {
2280
+ "epoch": 2.67,
2281
+ "learning_rate": 9.998703670909273e-05,
2282
+ "loss": 1.0036,
2283
+ "step": 379
2284
+ },
2285
+ {
2286
+ "epoch": 2.68,
2287
+ "learning_rate": 9.998635725787515e-05,
2288
+ "loss": 1.0307,
2289
+ "step": 380
2290
+ },
2291
+ {
2292
+ "epoch": 2.68,
2293
+ "learning_rate": 9.998566045477877e-05,
2294
+ "loss": 1.1171,
2295
+ "step": 381
2296
+ },
2297
+ {
2298
+ "epoch": 2.69,
2299
+ "learning_rate": 9.99849463000455e-05,
2300
+ "loss": 1.2063,
2301
+ "step": 382
2302
+ },
2303
+ {
2304
+ "epoch": 2.7,
2305
+ "learning_rate": 9.998421479392322e-05,
2306
+ "loss": 1.2263,
2307
+ "step": 383
2308
+ },
2309
+ {
2310
+ "epoch": 2.7,
2311
+ "learning_rate": 9.998346593666587e-05,
2312
+ "loss": 0.8941,
2313
+ "step": 384
2314
+ },
2315
+ {
2316
+ "epoch": 2.71,
2317
+ "learning_rate": 9.99826997285334e-05,
2318
+ "loss": 1.0527,
2319
+ "step": 385
2320
+ },
2321
+ {
2322
+ "epoch": 2.72,
2323
+ "learning_rate": 9.998191616979178e-05,
2324
+ "loss": 1.2203,
2325
+ "step": 386
2326
+ },
2327
+ {
2328
+ "epoch": 2.73,
2329
+ "learning_rate": 9.9981115260713e-05,
2330
+ "loss": 1.2373,
2331
+ "step": 387
2332
+ },
2333
+ {
2334
+ "epoch": 2.73,
2335
+ "learning_rate": 9.998029700157512e-05,
2336
+ "loss": 1.0372,
2337
+ "step": 388
2338
+ },
2339
+ {
2340
+ "epoch": 2.74,
2341
+ "learning_rate": 9.997946139266214e-05,
2342
+ "loss": 1.3097,
2343
+ "step": 389
2344
+ },
2345
+ {
2346
+ "epoch": 2.75,
2347
+ "learning_rate": 9.997860843426416e-05,
2348
+ "loss": 1.1405,
2349
+ "step": 390
2350
+ },
2351
+ {
2352
+ "epoch": 2.75,
2353
+ "learning_rate": 9.997773812667726e-05,
2354
+ "loss": 1.2198,
2355
+ "step": 391
2356
+ },
2357
+ {
2358
+ "epoch": 2.76,
2359
+ "learning_rate": 9.997685047020353e-05,
2360
+ "loss": 1.2622,
2361
+ "step": 392
2362
+ },
2363
+ {
2364
+ "epoch": 2.77,
2365
+ "learning_rate": 9.997594546515112e-05,
2366
+ "loss": 1.1772,
2367
+ "step": 393
2368
+ },
2369
+ {
2370
+ "epoch": 2.77,
2371
+ "learning_rate": 9.997502311183421e-05,
2372
+ "loss": 1.3354,
2373
+ "step": 394
2374
+ },
2375
+ {
2376
+ "epoch": 2.78,
2377
+ "learning_rate": 9.997408341057295e-05,
2378
+ "loss": 1.2733,
2379
+ "step": 395
2380
+ },
2381
+ {
2382
+ "epoch": 2.79,
2383
+ "learning_rate": 9.997312636169354e-05,
2384
+ "loss": 1.2603,
2385
+ "step": 396
2386
+ },
2387
+ {
2388
+ "epoch": 2.8,
2389
+ "learning_rate": 9.99721519655282e-05,
2390
+ "loss": 1.182,
2391
+ "step": 397
2392
+ },
2393
+ {
2394
+ "epoch": 2.8,
2395
+ "learning_rate": 9.997116022241519e-05,
2396
+ "loss": 1.001,
2397
+ "step": 398
2398
+ },
2399
+ {
2400
+ "epoch": 2.81,
2401
+ "learning_rate": 9.997015113269878e-05,
2402
+ "loss": 1.1661,
2403
+ "step": 399
2404
+ },
2405
+ {
2406
+ "epoch": 2.82,
2407
+ "learning_rate": 9.996912469672925e-05,
2408
+ "loss": 1.0415,
2409
+ "step": 400
2410
+ },
2411
+ {
2412
+ "epoch": 2.82,
2413
+ "learning_rate": 9.99680809148629e-05,
2414
+ "loss": 1.0874,
2415
+ "step": 401
2416
+ },
2417
+ {
2418
+ "epoch": 2.83,
2419
+ "learning_rate": 9.996701978746207e-05,
2420
+ "loss": 1.3411,
2421
+ "step": 402
2422
+ },
2423
+ {
2424
+ "epoch": 2.84,
2425
+ "learning_rate": 9.996594131489511e-05,
2426
+ "loss": 1.0126,
2427
+ "step": 403
2428
+ },
2429
+ {
2430
+ "epoch": 2.85,
2431
+ "learning_rate": 9.99648454975364e-05,
2432
+ "loss": 1.2103,
2433
+ "step": 404
2434
+ },
2435
+ {
2436
+ "epoch": 2.85,
2437
+ "learning_rate": 9.996373233576631e-05,
2438
+ "loss": 1.1725,
2439
+ "step": 405
2440
+ },
2441
+ {
2442
+ "epoch": 2.86,
2443
+ "learning_rate": 9.996260182997126e-05,
2444
+ "loss": 1.1493,
2445
+ "step": 406
2446
+ },
2447
+ {
2448
+ "epoch": 2.87,
2449
+ "learning_rate": 9.996145398054372e-05,
2450
+ "loss": 1.3638,
2451
+ "step": 407
2452
+ },
2453
+ {
2454
+ "epoch": 2.87,
2455
+ "learning_rate": 9.99602887878821e-05,
2456
+ "loss": 1.2561,
2457
+ "step": 408
2458
+ },
2459
+ {
2460
+ "epoch": 2.88,
2461
+ "learning_rate": 9.995910625239092e-05,
2462
+ "loss": 1.0412,
2463
+ "step": 409
2464
+ },
2465
+ {
2466
+ "epoch": 2.89,
2467
+ "learning_rate": 9.995790637448064e-05,
2468
+ "loss": 1.1855,
2469
+ "step": 410
2470
+ },
2471
+ {
2472
+ "epoch": 2.89,
2473
+ "learning_rate": 9.995668915456778e-05,
2474
+ "loss": 1.1156,
2475
+ "step": 411
2476
+ },
2477
+ {
2478
+ "epoch": 2.9,
2479
+ "learning_rate": 9.99554545930749e-05,
2480
+ "loss": 1.317,
2481
+ "step": 412
2482
+ },
2483
+ {
2484
+ "epoch": 2.91,
2485
+ "learning_rate": 9.995420269043053e-05,
2486
+ "loss": 1.3018,
2487
+ "step": 413
2488
+ },
2489
+ {
2490
+ "epoch": 2.92,
2491
+ "learning_rate": 9.995293344706927e-05,
2492
+ "loss": 1.2392,
2493
+ "step": 414
2494
+ },
2495
+ {
2496
+ "epoch": 2.92,
2497
+ "learning_rate": 9.99516468634317e-05,
2498
+ "loss": 1.2128,
2499
+ "step": 415
2500
+ },
2501
+ {
2502
+ "epoch": 2.93,
2503
+ "learning_rate": 9.995034293996442e-05,
2504
+ "loss": 1.173,
2505
+ "step": 416
2506
+ },
2507
+ {
2508
+ "epoch": 2.94,
2509
+ "learning_rate": 9.99490216771201e-05,
2510
+ "loss": 1.2461,
2511
+ "step": 417
2512
+ },
2513
+ {
2514
+ "epoch": 2.94,
2515
+ "learning_rate": 9.994768307535736e-05,
2516
+ "loss": 1.1709,
2517
+ "step": 418
2518
+ },
2519
+ {
2520
+ "epoch": 2.95,
2521
+ "learning_rate": 9.99463271351409e-05,
2522
+ "loss": 1.0691,
2523
+ "step": 419
2524
+ },
2525
+ {
2526
+ "epoch": 2.96,
2527
+ "learning_rate": 9.99449538569414e-05,
2528
+ "loss": 1.1749,
2529
+ "step": 420
2530
+ },
2531
+ {
2532
+ "epoch": 2.96,
2533
+ "learning_rate": 9.994356324123555e-05,
2534
+ "loss": 1.2748,
2535
+ "step": 421
2536
+ },
2537
+ {
2538
+ "epoch": 2.97,
2539
+ "learning_rate": 9.994215528850611e-05,
2540
+ "loss": 0.9984,
2541
+ "step": 422
2542
+ },
2543
+ {
2544
+ "epoch": 2.98,
2545
+ "learning_rate": 9.994072999924178e-05,
2546
+ "loss": 1.288,
2547
+ "step": 423
2548
+ },
2549
+ {
2550
+ "epoch": 2.99,
2551
+ "learning_rate": 9.993928737393738e-05,
2552
+ "loss": 1.3438,
2553
+ "step": 424
2554
+ },
2555
+ {
2556
+ "epoch": 2.99,
2557
+ "learning_rate": 9.993782741309366e-05,
2558
+ "loss": 1.0476,
2559
+ "step": 425
2560
+ },
2561
+ {
2562
+ "epoch": 3.0,
2563
+ "learning_rate": 9.993635011721743e-05,
2564
+ "loss": 1.0269,
2565
+ "step": 426
2566
+ }
2567
+ ],
2568
+ "logging_steps": 1,
2569
+ "max_steps": 710,
2570
+ "num_train_epochs": 5,
2571
+ "save_steps": 500,
2572
+ "total_flos": 3.347312943090893e+16,
2573
+ "trial_name": null,
2574
+ "trial_params": null
2575
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5209c0fcb6bd3374435acd71f4e80ba80e72720014c29d39325dcdc84f40a785
3
+ size 4027