bobox commited on
Commit
2f9ee69
·
verified ·
1 Parent(s): 89bee5a

Training in progress, step 178, checkpoint

Browse files
checkpoint-178/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
3
+ "pooling_mode_cls_token": false,
4
+ "pooling_mode_mean_tokens": true,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false,
7
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false,
9
+ "include_prompt": true
10
+ }
checkpoint-178/README.md ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-178/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
checkpoint-178/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bobox/DeBERTa-small-ST-v1-test-step2",
3
+ "architectures": [
4
+ "DebertaV2Model"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "hidden_act": "gelu",
8
+ "hidden_dropout_prob": 0.1,
9
+ "hidden_size": 768,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 3072,
12
+ "layer_norm_eps": 1e-07,
13
+ "max_position_embeddings": 512,
14
+ "max_relative_positions": -1,
15
+ "model_type": "deberta-v2",
16
+ "norm_rel_ebd": "layer_norm",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 6,
19
+ "pad_token_id": 0,
20
+ "pooler_dropout": 0,
21
+ "pooler_hidden_act": "gelu",
22
+ "pooler_hidden_size": 768,
23
+ "pos_att_type": [
24
+ "p2c",
25
+ "c2p"
26
+ ],
27
+ "position_biased_input": false,
28
+ "position_buckets": 256,
29
+ "relative_attention": true,
30
+ "share_att_key": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.44.0",
33
+ "type_vocab_size": 0,
34
+ "vocab_size": 128100
35
+ }
checkpoint-178/config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.0.1",
4
+ "transformers": "4.44.0",
5
+ "pytorch": "2.4.0"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
checkpoint-178/modules.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ }
14
+ ]
checkpoint-178/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b022738bddc1b2af63d75b1e4d63e5c863ca67d1a70ae786b10917cf4931b37
3
+ size 1130520122
checkpoint-178/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05cf53e50959ea4e585e3fdbb6e6809f56f1462e961349ac4d4d54d6b482b030
3
+ size 565251810
checkpoint-178/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9948fc2bcfd705e4d7bb7483fbb1647f9ba68be2e81523048d9fcc4d4c70280d
3
+ size 14244
checkpoint-178/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91b0595725ac19c56c56ccca1ef28743f765072da48e4604839e5cc1c3ddb334
3
+ size 1064
checkpoint-178/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
checkpoint-178/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "[CLS]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "[SEP]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "[MASK]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "[PAD]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "[SEP]",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "[UNK]",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
checkpoint-178/spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
checkpoint-178/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-178/tokenizer_config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[CLS]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[UNK]",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "128000": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "bos_token": "[CLS]",
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_lower_case": false,
48
+ "eos_token": "[SEP]",
49
+ "mask_token": "[MASK]",
50
+ "max_length": 512,
51
+ "model_max_length": 512,
52
+ "pad_to_multiple_of": null,
53
+ "pad_token": "[PAD]",
54
+ "pad_token_type_id": 0,
55
+ "padding_side": "right",
56
+ "sep_token": "[SEP]",
57
+ "sp_model_kwargs": {},
58
+ "split_by_punct": false,
59
+ "stride": 0,
60
+ "tokenizer_class": "DebertaV2Tokenizer",
61
+ "truncation_side": "right",
62
+ "truncation_strategy": "longest_first",
63
+ "unk_token": "[UNK]",
64
+ "vocab_type": "spm"
65
+ }
checkpoint-178/trainer_state.json ADDED
@@ -0,0 +1,1729 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.4,
5
+ "eval_steps": 45,
6
+ "global_step": 178,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0022471910112359553,
13
+ "grad_norm": 3.9492883682250977,
14
+ "learning_rate": 1.9662921348314604e-07,
15
+ "loss": 0.8103,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0044943820224719105,
20
+ "grad_norm": 4.117438793182373,
21
+ "learning_rate": 3.932584269662921e-07,
22
+ "loss": 0.8803,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.006741573033707865,
27
+ "grad_norm": 3.809002161026001,
28
+ "learning_rate": 5.898876404494381e-07,
29
+ "loss": 0.8219,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.008988764044943821,
34
+ "grad_norm": 0.7417504787445068,
35
+ "learning_rate": 7.865168539325842e-07,
36
+ "loss": 0.0574,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.011235955056179775,
41
+ "grad_norm": 2.707460403442383,
42
+ "learning_rate": 9.831460674157302e-07,
43
+ "loss": 0.3044,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.01348314606741573,
48
+ "grad_norm": 3.082705497741699,
49
+ "learning_rate": 1.1797752808988763e-06,
50
+ "loss": 0.3306,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.015730337078651686,
55
+ "grad_norm": 3.102416753768921,
56
+ "learning_rate": 1.3764044943820223e-06,
57
+ "loss": 0.759,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.017977528089887642,
62
+ "grad_norm": 0.6271047592163086,
63
+ "learning_rate": 1.5730337078651683e-06,
64
+ "loss": 0.0472,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.020224719101123594,
69
+ "grad_norm": 3.1362593173980713,
70
+ "learning_rate": 1.7696629213483144e-06,
71
+ "loss": 0.7782,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.02247191011235955,
76
+ "grad_norm": 1.124997615814209,
77
+ "learning_rate": 1.9662921348314604e-06,
78
+ "loss": 0.0757,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.024719101123595506,
83
+ "grad_norm": 3.194413185119629,
84
+ "learning_rate": 2.1629213483146067e-06,
85
+ "loss": 0.7778,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.02696629213483146,
90
+ "grad_norm": 3.966202974319458,
91
+ "learning_rate": 2.3595505617977525e-06,
92
+ "loss": 0.7111,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.029213483146067417,
97
+ "grad_norm": 3.63393235206604,
98
+ "learning_rate": 2.5561797752808988e-06,
99
+ "loss": 0.6598,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.03146067415730337,
104
+ "grad_norm": 4.087065696716309,
105
+ "learning_rate": 2.7528089887640446e-06,
106
+ "loss": 0.8901,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.033707865168539325,
111
+ "grad_norm": 2.769573211669922,
112
+ "learning_rate": 2.949438202247191e-06,
113
+ "loss": 0.3206,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.035955056179775284,
118
+ "grad_norm": 2.630620002746582,
119
+ "learning_rate": 3.1460674157303367e-06,
120
+ "loss": 0.3408,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.038202247191011236,
125
+ "grad_norm": 2.9570937156677246,
126
+ "learning_rate": 3.342696629213483e-06,
127
+ "loss": 0.5623,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.04044943820224719,
132
+ "grad_norm": 1.0999970436096191,
133
+ "learning_rate": 3.5393258426966288e-06,
134
+ "loss": 0.0758,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.04269662921348315,
139
+ "grad_norm": 5.516472816467285,
140
+ "learning_rate": 3.735955056179775e-06,
141
+ "loss": 0.994,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.0449438202247191,
146
+ "grad_norm": 6.245299816131592,
147
+ "learning_rate": 3.932584269662921e-06,
148
+ "loss": 2.4196,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.04719101123595506,
153
+ "grad_norm": 0.546605110168457,
154
+ "learning_rate": 4.129213483146067e-06,
155
+ "loss": 0.0561,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.04943820224719101,
160
+ "grad_norm": 0.7049635648727417,
161
+ "learning_rate": 4.325842696629213e-06,
162
+ "loss": 0.0827,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.051685393258426963,
167
+ "grad_norm": 3.1022439002990723,
168
+ "learning_rate": 4.522471910112359e-06,
169
+ "loss": 0.7405,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.05393258426966292,
174
+ "grad_norm": 4.534759044647217,
175
+ "learning_rate": 4.719101123595505e-06,
176
+ "loss": 0.9656,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.056179775280898875,
181
+ "grad_norm": 3.0486032962799072,
182
+ "learning_rate": 4.915730337078652e-06,
183
+ "loss": 0.7855,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.058426966292134834,
188
+ "grad_norm": 3.7457478046417236,
189
+ "learning_rate": 5.1123595505617975e-06,
190
+ "loss": 0.6349,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.060674157303370786,
195
+ "grad_norm": 3.2051479816436768,
196
+ "learning_rate": 5.308988764044943e-06,
197
+ "loss": 0.8087,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.06292134831460675,
202
+ "grad_norm": 4.389094829559326,
203
+ "learning_rate": 5.505617977528089e-06,
204
+ "loss": 0.9282,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.0651685393258427,
209
+ "grad_norm": 2.920410394668579,
210
+ "learning_rate": 5.702247191011236e-06,
211
+ "loss": 0.3377,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.06741573033707865,
216
+ "grad_norm": 2.7193148136138916,
217
+ "learning_rate": 5.898876404494382e-06,
218
+ "loss": 0.3289,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.0696629213483146,
223
+ "grad_norm": 4.0008225440979,
224
+ "learning_rate": 6.0955056179775275e-06,
225
+ "loss": 0.6314,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.07191011235955057,
230
+ "grad_norm": 0.5842159390449524,
231
+ "learning_rate": 6.292134831460673e-06,
232
+ "loss": 0.0611,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.07415730337078652,
237
+ "grad_norm": 3.1256043910980225,
238
+ "learning_rate": 6.48876404494382e-06,
239
+ "loss": 0.8942,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.07640449438202247,
244
+ "grad_norm": 0.9526051878929138,
245
+ "learning_rate": 6.685393258426966e-06,
246
+ "loss": 0.0701,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.07865168539325842,
251
+ "grad_norm": 4.061926364898682,
252
+ "learning_rate": 6.882022471910112e-06,
253
+ "loss": 0.8506,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.08089887640449438,
258
+ "grad_norm": 2.8898491859436035,
259
+ "learning_rate": 7.0786516853932575e-06,
260
+ "loss": 0.3386,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.08314606741573034,
265
+ "grad_norm": 0.9806709289550781,
266
+ "learning_rate": 7.275280898876404e-06,
267
+ "loss": 0.0701,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.0853932584269663,
272
+ "grad_norm": 3.8004391193389893,
273
+ "learning_rate": 7.47191011235955e-06,
274
+ "loss": 0.8042,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.08764044943820225,
279
+ "grad_norm": 4.089083194732666,
280
+ "learning_rate": 7.668539325842697e-06,
281
+ "loss": 0.8744,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.0898876404494382,
286
+ "grad_norm": 3.419440984725952,
287
+ "learning_rate": 7.865168539325842e-06,
288
+ "loss": 0.8644,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.09213483146067415,
293
+ "grad_norm": 4.094921588897705,
294
+ "learning_rate": 8.061797752808988e-06,
295
+ "loss": 0.8647,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.09438202247191012,
300
+ "grad_norm": 3.9199764728546143,
301
+ "learning_rate": 8.258426966292133e-06,
302
+ "loss": 0.7916,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.09662921348314607,
307
+ "grad_norm": 4.082360744476318,
308
+ "learning_rate": 8.45505617977528e-06,
309
+ "loss": 0.8599,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.09887640449438202,
314
+ "grad_norm": 0.6443855166435242,
315
+ "learning_rate": 8.651685393258427e-06,
316
+ "loss": 0.0523,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.10112359550561797,
321
+ "grad_norm": 4.051048278808594,
322
+ "learning_rate": 8.848314606741572e-06,
323
+ "loss": 0.6968,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.10112359550561797,
328
+ "eval_VitaminC_cosine_accuracy": 0.55859375,
329
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8300318121910095,
330
+ "eval_VitaminC_cosine_ap": 0.5514483751609435,
331
+ "eval_VitaminC_cosine_f1": 0.6657718120805369,
332
+ "eval_VitaminC_cosine_f1_threshold": 0.37456807494163513,
333
+ "eval_VitaminC_cosine_precision": 0.5020242914979757,
334
+ "eval_VitaminC_cosine_recall": 0.9880478087649402,
335
+ "eval_VitaminC_dot_accuracy": 0.5546875,
336
+ "eval_VitaminC_dot_accuracy_threshold": 311.380615234375,
337
+ "eval_VitaminC_dot_ap": 0.5333497363350208,
338
+ "eval_VitaminC_dot_f1": 0.6684709066305818,
339
+ "eval_VitaminC_dot_f1_threshold": 144.8927001953125,
340
+ "eval_VitaminC_dot_precision": 0.5061475409836066,
341
+ "eval_VitaminC_dot_recall": 0.9840637450199203,
342
+ "eval_VitaminC_euclidean_accuracy": 0.556640625,
343
+ "eval_VitaminC_euclidean_accuracy_threshold": 11.028482437133789,
344
+ "eval_VitaminC_euclidean_ap": 0.5544340410314673,
345
+ "eval_VitaminC_euclidean_f1": 0.6649006622516557,
346
+ "eval_VitaminC_euclidean_f1_threshold": 23.38451385498047,
347
+ "eval_VitaminC_euclidean_precision": 0.498015873015873,
348
+ "eval_VitaminC_euclidean_recall": 1.0,
349
+ "eval_VitaminC_manhattan_accuracy": 0.556640625,
350
+ "eval_VitaminC_manhattan_accuracy_threshold": 232.38790893554688,
351
+ "eval_VitaminC_manhattan_ap": 0.5515569514532939,
352
+ "eval_VitaminC_manhattan_f1": 0.6649006622516557,
353
+ "eval_VitaminC_manhattan_f1_threshold": 498.126220703125,
354
+ "eval_VitaminC_manhattan_precision": 0.498015873015873,
355
+ "eval_VitaminC_manhattan_recall": 1.0,
356
+ "eval_VitaminC_max_accuracy": 0.55859375,
357
+ "eval_VitaminC_max_accuracy_threshold": 311.380615234375,
358
+ "eval_VitaminC_max_ap": 0.5544340410314673,
359
+ "eval_VitaminC_max_f1": 0.6684709066305818,
360
+ "eval_VitaminC_max_f1_threshold": 498.126220703125,
361
+ "eval_VitaminC_max_precision": 0.5061475409836066,
362
+ "eval_VitaminC_max_recall": 1.0,
363
+ "eval_sequential_score": 0.5544340410314673,
364
+ "eval_sts-test_pearson_cosine": 0.8803067271464453,
365
+ "eval_sts-test_pearson_dot": 0.8698285291814508,
366
+ "eval_sts-test_pearson_euclidean": 0.9023937835918766,
367
+ "eval_sts-test_pearson_manhattan": 0.9020751259156048,
368
+ "eval_sts-test_pearson_max": 0.9023937835918766,
369
+ "eval_sts-test_spearman_cosine": 0.9038005474254912,
370
+ "eval_sts-test_spearman_dot": 0.8707897794601254,
371
+ "eval_sts-test_spearman_euclidean": 0.8989733631129851,
372
+ "eval_sts-test_spearman_manhattan": 0.8980189529612906,
373
+ "eval_sts-test_spearman_max": 0.9038005474254912,
374
+ "eval_vitaminc-pairs_loss": 1.7273772954940796,
375
+ "eval_vitaminc-pairs_runtime": 1.8924,
376
+ "eval_vitaminc-pairs_samples_per_second": 57.071,
377
+ "eval_vitaminc-pairs_steps_per_second": 1.057,
378
+ "step": 45
379
+ },
380
+ {
381
+ "epoch": 0.10112359550561797,
382
+ "eval_negation-triplets_loss": 0.9174526929855347,
383
+ "eval_negation-triplets_runtime": 0.2972,
384
+ "eval_negation-triplets_samples_per_second": 215.314,
385
+ "eval_negation-triplets_steps_per_second": 3.364,
386
+ "step": 45
387
+ },
388
+ {
389
+ "epoch": 0.10112359550561797,
390
+ "eval_scitail-pairs-pos_loss": 0.07368183881044388,
391
+ "eval_scitail-pairs-pos_runtime": 0.379,
392
+ "eval_scitail-pairs-pos_samples_per_second": 142.492,
393
+ "eval_scitail-pairs-pos_steps_per_second": 2.639,
394
+ "step": 45
395
+ },
396
+ {
397
+ "epoch": 0.10112359550561797,
398
+ "eval_scitail-pairs-qa_loss": 0.001584450714290142,
399
+ "eval_scitail-pairs-qa_runtime": 0.5178,
400
+ "eval_scitail-pairs-qa_samples_per_second": 247.198,
401
+ "eval_scitail-pairs-qa_steps_per_second": 3.862,
402
+ "step": 45
403
+ },
404
+ {
405
+ "epoch": 0.10112359550561797,
406
+ "eval_xsum-pairs_loss": 0.038235221058130264,
407
+ "eval_xsum-pairs_runtime": 2.7268,
408
+ "eval_xsum-pairs_samples_per_second": 46.941,
409
+ "eval_xsum-pairs_steps_per_second": 0.733,
410
+ "step": 45
411
+ },
412
+ {
413
+ "epoch": 0.10112359550561797,
414
+ "eval_sciq_pairs_loss": 0.01538097020238638,
415
+ "eval_sciq_pairs_runtime": 2.7808,
416
+ "eval_sciq_pairs_samples_per_second": 46.029,
417
+ "eval_sciq_pairs_steps_per_second": 0.719,
418
+ "step": 45
419
+ },
420
+ {
421
+ "epoch": 0.10112359550561797,
422
+ "eval_qasc_pairs_loss": 0.09078988432884216,
423
+ "eval_qasc_pairs_runtime": 0.6473,
424
+ "eval_qasc_pairs_samples_per_second": 197.758,
425
+ "eval_qasc_pairs_steps_per_second": 3.09,
426
+ "step": 45
427
+ },
428
+ {
429
+ "epoch": 0.10112359550561797,
430
+ "eval_openbookqa_pairs_loss": 0.6754768490791321,
431
+ "eval_openbookqa_pairs_runtime": 0.573,
432
+ "eval_openbookqa_pairs_samples_per_second": 223.397,
433
+ "eval_openbookqa_pairs_steps_per_second": 3.491,
434
+ "step": 45
435
+ },
436
+ {
437
+ "epoch": 0.10112359550561797,
438
+ "eval_msmarco_pairs_loss": 0.15991328656673431,
439
+ "eval_msmarco_pairs_runtime": 1.487,
440
+ "eval_msmarco_pairs_samples_per_second": 86.078,
441
+ "eval_msmarco_pairs_steps_per_second": 1.345,
442
+ "step": 45
443
+ },
444
+ {
445
+ "epoch": 0.10112359550561797,
446
+ "eval_nq_pairs_loss": 0.09591890126466751,
447
+ "eval_nq_pairs_runtime": 2.3943,
448
+ "eval_nq_pairs_samples_per_second": 53.459,
449
+ "eval_nq_pairs_steps_per_second": 0.835,
450
+ "step": 45
451
+ },
452
+ {
453
+ "epoch": 0.10112359550561797,
454
+ "eval_trivia_pairs_loss": 0.5305934548377991,
455
+ "eval_trivia_pairs_runtime": 3.5752,
456
+ "eval_trivia_pairs_samples_per_second": 35.802,
457
+ "eval_trivia_pairs_steps_per_second": 0.559,
458
+ "step": 45
459
+ },
460
+ {
461
+ "epoch": 0.10112359550561797,
462
+ "eval_gooaq_pairs_loss": 0.29681000113487244,
463
+ "eval_gooaq_pairs_runtime": 0.9087,
464
+ "eval_gooaq_pairs_samples_per_second": 140.861,
465
+ "eval_gooaq_pairs_steps_per_second": 2.201,
466
+ "step": 45
467
+ },
468
+ {
469
+ "epoch": 0.10112359550561797,
470
+ "eval_paws-pos_loss": 0.024501051753759384,
471
+ "eval_paws-pos_runtime": 0.6773,
472
+ "eval_paws-pos_samples_per_second": 188.996,
473
+ "eval_paws-pos_steps_per_second": 2.953,
474
+ "step": 45
475
+ },
476
+ {
477
+ "epoch": 0.10337078651685393,
478
+ "grad_norm": 2.9021923542022705,
479
+ "learning_rate": 9.044943820224718e-06,
480
+ "loss": 0.3376,
481
+ "step": 46
482
+ },
483
+ {
484
+ "epoch": 0.10561797752808989,
485
+ "grad_norm": 3.179288625717163,
486
+ "learning_rate": 9.241573033707863e-06,
487
+ "loss": 0.5174,
488
+ "step": 47
489
+ },
490
+ {
491
+ "epoch": 0.10786516853932585,
492
+ "grad_norm": 3.1919493675231934,
493
+ "learning_rate": 9.43820224719101e-06,
494
+ "loss": 0.8162,
495
+ "step": 48
496
+ },
497
+ {
498
+ "epoch": 0.1101123595505618,
499
+ "grad_norm": 2.8602521419525146,
500
+ "learning_rate": 9.634831460674157e-06,
501
+ "loss": 0.3545,
502
+ "step": 49
503
+ },
504
+ {
505
+ "epoch": 0.11235955056179775,
506
+ "grad_norm": 2.7570478916168213,
507
+ "learning_rate": 9.831460674157303e-06,
508
+ "loss": 0.315,
509
+ "step": 50
510
+ },
511
+ {
512
+ "epoch": 0.1146067415730337,
513
+ "grad_norm": 0.8641514778137207,
514
+ "learning_rate": 1.0028089887640448e-05,
515
+ "loss": 0.0627,
516
+ "step": 51
517
+ },
518
+ {
519
+ "epoch": 0.11685393258426967,
520
+ "grad_norm": 3.9437484741210938,
521
+ "learning_rate": 1.0224719101123595e-05,
522
+ "loss": 0.8851,
523
+ "step": 52
524
+ },
525
+ {
526
+ "epoch": 0.11910112359550562,
527
+ "grad_norm": 4.144773006439209,
528
+ "learning_rate": 1.042134831460674e-05,
529
+ "loss": 0.8382,
530
+ "step": 53
531
+ },
532
+ {
533
+ "epoch": 0.12134831460674157,
534
+ "grad_norm": 4.277736186981201,
535
+ "learning_rate": 1.0617977528089887e-05,
536
+ "loss": 0.733,
537
+ "step": 54
538
+ },
539
+ {
540
+ "epoch": 0.12359550561797752,
541
+ "grad_norm": 4.025904178619385,
542
+ "learning_rate": 1.0814606741573032e-05,
543
+ "loss": 0.7173,
544
+ "step": 55
545
+ },
546
+ {
547
+ "epoch": 0.1258426966292135,
548
+ "grad_norm": 3.923046827316284,
549
+ "learning_rate": 1.1011235955056178e-05,
550
+ "loss": 0.7659,
551
+ "step": 56
552
+ },
553
+ {
554
+ "epoch": 0.12808988764044943,
555
+ "grad_norm": 3.2707138061523438,
556
+ "learning_rate": 1.1207865168539325e-05,
557
+ "loss": 0.793,
558
+ "step": 57
559
+ },
560
+ {
561
+ "epoch": 0.1303370786516854,
562
+ "grad_norm": 3.1660959720611572,
563
+ "learning_rate": 1.1404494382022472e-05,
564
+ "loss": 0.5426,
565
+ "step": 58
566
+ },
567
+ {
568
+ "epoch": 0.13258426966292136,
569
+ "grad_norm": 4.5236663818359375,
570
+ "learning_rate": 1.1601123595505617e-05,
571
+ "loss": 0.7641,
572
+ "step": 59
573
+ },
574
+ {
575
+ "epoch": 0.1348314606741573,
576
+ "grad_norm": 0.5771021246910095,
577
+ "learning_rate": 1.1797752808988763e-05,
578
+ "loss": 0.0657,
579
+ "step": 60
580
+ },
581
+ {
582
+ "epoch": 0.13707865168539327,
583
+ "grad_norm": 3.8541343212127686,
584
+ "learning_rate": 1.1994382022471908e-05,
585
+ "loss": 0.7836,
586
+ "step": 61
587
+ },
588
+ {
589
+ "epoch": 0.1393258426966292,
590
+ "grad_norm": 4.284148693084717,
591
+ "learning_rate": 1.2191011235955055e-05,
592
+ "loss": 0.9306,
593
+ "step": 62
594
+ },
595
+ {
596
+ "epoch": 0.14157303370786517,
597
+ "grad_norm": 4.175032615661621,
598
+ "learning_rate": 1.23876404494382e-05,
599
+ "loss": 0.8673,
600
+ "step": 63
601
+ },
602
+ {
603
+ "epoch": 0.14382022471910114,
604
+ "grad_norm": 5.025452136993408,
605
+ "learning_rate": 1.2584269662921347e-05,
606
+ "loss": 0.9296,
607
+ "step": 64
608
+ },
609
+ {
610
+ "epoch": 0.14606741573033707,
611
+ "grad_norm": 3.970745086669922,
612
+ "learning_rate": 1.2780898876404493e-05,
613
+ "loss": 0.8211,
614
+ "step": 65
615
+ },
616
+ {
617
+ "epoch": 0.14831460674157304,
618
+ "grad_norm": 3.150197744369507,
619
+ "learning_rate": 1.297752808988764e-05,
620
+ "loss": 0.7685,
621
+ "step": 66
622
+ },
623
+ {
624
+ "epoch": 0.15056179775280898,
625
+ "grad_norm": 4.280994415283203,
626
+ "learning_rate": 1.3174157303370785e-05,
627
+ "loss": 0.7139,
628
+ "step": 67
629
+ },
630
+ {
631
+ "epoch": 0.15280898876404495,
632
+ "grad_norm": 4.288730621337891,
633
+ "learning_rate": 1.3370786516853932e-05,
634
+ "loss": 0.8241,
635
+ "step": 68
636
+ },
637
+ {
638
+ "epoch": 0.1550561797752809,
639
+ "grad_norm": 3.7402424812316895,
640
+ "learning_rate": 1.3567415730337077e-05,
641
+ "loss": 0.6256,
642
+ "step": 69
643
+ },
644
+ {
645
+ "epoch": 0.15730337078651685,
646
+ "grad_norm": 4.478890895843506,
647
+ "learning_rate": 1.3764044943820223e-05,
648
+ "loss": 0.8842,
649
+ "step": 70
650
+ },
651
+ {
652
+ "epoch": 0.15955056179775282,
653
+ "grad_norm": 3.8147876262664795,
654
+ "learning_rate": 1.3960674157303368e-05,
655
+ "loss": 0.804,
656
+ "step": 71
657
+ },
658
+ {
659
+ "epoch": 0.16179775280898875,
660
+ "grad_norm": 0.7314035296440125,
661
+ "learning_rate": 1.4157303370786515e-05,
662
+ "loss": 0.0989,
663
+ "step": 72
664
+ },
665
+ {
666
+ "epoch": 0.16404494382022472,
667
+ "grad_norm": 3.074303150177002,
668
+ "learning_rate": 1.4353932584269662e-05,
669
+ "loss": 0.332,
670
+ "step": 73
671
+ },
672
+ {
673
+ "epoch": 0.1662921348314607,
674
+ "grad_norm": 3.414987325668335,
675
+ "learning_rate": 1.4550561797752808e-05,
676
+ "loss": 0.5736,
677
+ "step": 74
678
+ },
679
+ {
680
+ "epoch": 0.16853932584269662,
681
+ "grad_norm": 3.7946674823760986,
682
+ "learning_rate": 1.4747191011235953e-05,
683
+ "loss": 0.8285,
684
+ "step": 75
685
+ },
686
+ {
687
+ "epoch": 0.1707865168539326,
688
+ "grad_norm": 4.310474395751953,
689
+ "learning_rate": 1.49438202247191e-05,
690
+ "loss": 0.9561,
691
+ "step": 76
692
+ },
693
+ {
694
+ "epoch": 0.17303370786516853,
695
+ "grad_norm": 0.9791378974914551,
696
+ "learning_rate": 1.5140449438202245e-05,
697
+ "loss": 0.0633,
698
+ "step": 77
699
+ },
700
+ {
701
+ "epoch": 0.1752808988764045,
702
+ "grad_norm": 0.6351795196533203,
703
+ "learning_rate": 1.5337078651685393e-05,
704
+ "loss": 0.0848,
705
+ "step": 78
706
+ },
707
+ {
708
+ "epoch": 0.17752808988764046,
709
+ "grad_norm": 3.4832303524017334,
710
+ "learning_rate": 1.553370786516854e-05,
711
+ "loss": 0.8325,
712
+ "step": 79
713
+ },
714
+ {
715
+ "epoch": 0.1797752808988764,
716
+ "grad_norm": 5.115800380706787,
717
+ "learning_rate": 1.5730337078651683e-05,
718
+ "loss": 1.0011,
719
+ "step": 80
720
+ },
721
+ {
722
+ "epoch": 0.18202247191011237,
723
+ "grad_norm": 3.552396297454834,
724
+ "learning_rate": 1.592696629213483e-05,
725
+ "loss": 0.8697,
726
+ "step": 81
727
+ },
728
+ {
729
+ "epoch": 0.1842696629213483,
730
+ "grad_norm": 4.491541862487793,
731
+ "learning_rate": 1.6123595505617977e-05,
732
+ "loss": 0.8344,
733
+ "step": 82
734
+ },
735
+ {
736
+ "epoch": 0.18651685393258427,
737
+ "grad_norm": 4.73278284072876,
738
+ "learning_rate": 1.6320224719101122e-05,
739
+ "loss": 0.9967,
740
+ "step": 83
741
+ },
742
+ {
743
+ "epoch": 0.18876404494382024,
744
+ "grad_norm": 2.994192123413086,
745
+ "learning_rate": 1.6516853932584267e-05,
746
+ "loss": 0.4638,
747
+ "step": 84
748
+ },
749
+ {
750
+ "epoch": 0.19101123595505617,
751
+ "grad_norm": 4.142394542694092,
752
+ "learning_rate": 1.6713483146067415e-05,
753
+ "loss": 0.8994,
754
+ "step": 85
755
+ },
756
+ {
757
+ "epoch": 0.19325842696629214,
758
+ "grad_norm": 4.149839401245117,
759
+ "learning_rate": 1.691011235955056e-05,
760
+ "loss": 0.7789,
761
+ "step": 86
762
+ },
763
+ {
764
+ "epoch": 0.19550561797752808,
765
+ "grad_norm": 0.45795938372612,
766
+ "learning_rate": 1.7106741573033705e-05,
767
+ "loss": 0.0555,
768
+ "step": 87
769
+ },
770
+ {
771
+ "epoch": 0.19775280898876405,
772
+ "grad_norm": 3.4293618202209473,
773
+ "learning_rate": 1.7303370786516853e-05,
774
+ "loss": 0.3778,
775
+ "step": 88
776
+ },
777
+ {
778
+ "epoch": 0.2,
779
+ "grad_norm": 4.041529655456543,
780
+ "learning_rate": 1.75e-05,
781
+ "loss": 0.708,
782
+ "step": 89
783
+ },
784
+ {
785
+ "epoch": 0.20224719101123595,
786
+ "grad_norm": 0.6160458922386169,
787
+ "learning_rate": 1.7696629213483143e-05,
788
+ "loss": 0.0689,
789
+ "step": 90
790
+ },
791
+ {
792
+ "epoch": 0.20224719101123595,
793
+ "eval_VitaminC_cosine_accuracy": 0.556640625,
794
+ "eval_VitaminC_cosine_accuracy_threshold": 0.74173903465271,
795
+ "eval_VitaminC_cosine_ap": 0.5513770735348443,
796
+ "eval_VitaminC_cosine_f1": 0.6675531914893617,
797
+ "eval_VitaminC_cosine_f1_threshold": 0.32480987906455994,
798
+ "eval_VitaminC_cosine_precision": 0.500998003992016,
799
+ "eval_VitaminC_cosine_recall": 1.0,
800
+ "eval_VitaminC_dot_accuracy": 0.560546875,
801
+ "eval_VitaminC_dot_accuracy_threshold": 297.664794921875,
802
+ "eval_VitaminC_dot_ap": 0.5340088824099496,
803
+ "eval_VitaminC_dot_f1": 0.6666666666666667,
804
+ "eval_VitaminC_dot_f1_threshold": 126.67618560791016,
805
+ "eval_VitaminC_dot_precision": 0.501002004008016,
806
+ "eval_VitaminC_dot_recall": 0.9960159362549801,
807
+ "eval_VitaminC_euclidean_accuracy": 0.55859375,
808
+ "eval_VitaminC_euclidean_accuracy_threshold": 14.345688819885254,
809
+ "eval_VitaminC_euclidean_ap": 0.5542145004976253,
810
+ "eval_VitaminC_euclidean_f1": 0.6675531914893617,
811
+ "eval_VitaminC_euclidean_f1_threshold": 23.381019592285156,
812
+ "eval_VitaminC_euclidean_precision": 0.500998003992016,
813
+ "eval_VitaminC_euclidean_recall": 1.0,
814
+ "eval_VitaminC_manhattan_accuracy": 0.552734375,
815
+ "eval_VitaminC_manhattan_accuracy_threshold": 232.7296142578125,
816
+ "eval_VitaminC_manhattan_ap": 0.5523953693907266,
817
+ "eval_VitaminC_manhattan_f1": 0.6657824933687002,
818
+ "eval_VitaminC_manhattan_f1_threshold": 496.4290466308594,
819
+ "eval_VitaminC_manhattan_precision": 0.4990059642147117,
820
+ "eval_VitaminC_manhattan_recall": 1.0,
821
+ "eval_VitaminC_max_accuracy": 0.560546875,
822
+ "eval_VitaminC_max_accuracy_threshold": 297.664794921875,
823
+ "eval_VitaminC_max_ap": 0.5542145004976253,
824
+ "eval_VitaminC_max_f1": 0.6675531914893617,
825
+ "eval_VitaminC_max_f1_threshold": 496.4290466308594,
826
+ "eval_VitaminC_max_precision": 0.501002004008016,
827
+ "eval_VitaminC_max_recall": 1.0,
828
+ "eval_sequential_score": 0.5542145004976253,
829
+ "eval_sts-test_pearson_cosine": 0.8800782580988616,
830
+ "eval_sts-test_pearson_dot": 0.8687642290872662,
831
+ "eval_sts-test_pearson_euclidean": 0.9034088230546415,
832
+ "eval_sts-test_pearson_manhattan": 0.9030146212284895,
833
+ "eval_sts-test_pearson_max": 0.9034088230546415,
834
+ "eval_sts-test_spearman_cosine": 0.904560289590133,
835
+ "eval_sts-test_spearman_dot": 0.8705944849554133,
836
+ "eval_sts-test_spearman_euclidean": 0.8998959103665689,
837
+ "eval_sts-test_spearman_manhattan": 0.8995891404697307,
838
+ "eval_sts-test_spearman_max": 0.904560289590133,
839
+ "eval_vitaminc-pairs_loss": 1.6141985654830933,
840
+ "eval_vitaminc-pairs_runtime": 1.864,
841
+ "eval_vitaminc-pairs_samples_per_second": 57.94,
842
+ "eval_vitaminc-pairs_steps_per_second": 1.073,
843
+ "step": 90
844
+ },
845
+ {
846
+ "epoch": 0.20224719101123595,
847
+ "eval_negation-triplets_loss": 0.9220322370529175,
848
+ "eval_negation-triplets_runtime": 0.3199,
849
+ "eval_negation-triplets_samples_per_second": 200.043,
850
+ "eval_negation-triplets_steps_per_second": 3.126,
851
+ "step": 90
852
+ },
853
+ {
854
+ "epoch": 0.20224719101123595,
855
+ "eval_scitail-pairs-pos_loss": 0.0654294565320015,
856
+ "eval_scitail-pairs-pos_runtime": 0.4625,
857
+ "eval_scitail-pairs-pos_samples_per_second": 116.76,
858
+ "eval_scitail-pairs-pos_steps_per_second": 2.162,
859
+ "step": 90
860
+ },
861
+ {
862
+ "epoch": 0.20224719101123595,
863
+ "eval_scitail-pairs-qa_loss": 0.0015887805493548512,
864
+ "eval_scitail-pairs-qa_runtime": 0.5768,
865
+ "eval_scitail-pairs-qa_samples_per_second": 221.899,
866
+ "eval_scitail-pairs-qa_steps_per_second": 3.467,
867
+ "step": 90
868
+ },
869
+ {
870
+ "epoch": 0.20224719101123595,
871
+ "eval_xsum-pairs_loss": 0.03991687670350075,
872
+ "eval_xsum-pairs_runtime": 2.7403,
873
+ "eval_xsum-pairs_samples_per_second": 46.71,
874
+ "eval_xsum-pairs_steps_per_second": 0.73,
875
+ "step": 90
876
+ },
877
+ {
878
+ "epoch": 0.20224719101123595,
879
+ "eval_sciq_pairs_loss": 0.01584962010383606,
880
+ "eval_sciq_pairs_runtime": 2.8429,
881
+ "eval_sciq_pairs_samples_per_second": 45.024,
882
+ "eval_sciq_pairs_steps_per_second": 0.703,
883
+ "step": 90
884
+ },
885
+ {
886
+ "epoch": 0.20224719101123595,
887
+ "eval_qasc_pairs_loss": 0.09112343192100525,
888
+ "eval_qasc_pairs_runtime": 0.6492,
889
+ "eval_qasc_pairs_samples_per_second": 197.154,
890
+ "eval_qasc_pairs_steps_per_second": 3.081,
891
+ "step": 90
892
+ },
893
+ {
894
+ "epoch": 0.20224719101123595,
895
+ "eval_openbookqa_pairs_loss": 0.7132729887962341,
896
+ "eval_openbookqa_pairs_runtime": 0.5847,
897
+ "eval_openbookqa_pairs_samples_per_second": 218.922,
898
+ "eval_openbookqa_pairs_steps_per_second": 3.421,
899
+ "step": 90
900
+ },
901
+ {
902
+ "epoch": 0.20224719101123595,
903
+ "eval_msmarco_pairs_loss": 0.15173853933811188,
904
+ "eval_msmarco_pairs_runtime": 1.4966,
905
+ "eval_msmarco_pairs_samples_per_second": 85.527,
906
+ "eval_msmarco_pairs_steps_per_second": 1.336,
907
+ "step": 90
908
+ },
909
+ {
910
+ "epoch": 0.20224719101123595,
911
+ "eval_nq_pairs_loss": 0.09653442353010178,
912
+ "eval_nq_pairs_runtime": 2.3749,
913
+ "eval_nq_pairs_samples_per_second": 53.897,
914
+ "eval_nq_pairs_steps_per_second": 0.842,
915
+ "step": 90
916
+ },
917
+ {
918
+ "epoch": 0.20224719101123595,
919
+ "eval_trivia_pairs_loss": 0.5191965699195862,
920
+ "eval_trivia_pairs_runtime": 3.6006,
921
+ "eval_trivia_pairs_samples_per_second": 35.55,
922
+ "eval_trivia_pairs_steps_per_second": 0.555,
923
+ "step": 90
924
+ },
925
+ {
926
+ "epoch": 0.20224719101123595,
927
+ "eval_gooaq_pairs_loss": 0.30713126063346863,
928
+ "eval_gooaq_pairs_runtime": 0.9131,
929
+ "eval_gooaq_pairs_samples_per_second": 140.178,
930
+ "eval_gooaq_pairs_steps_per_second": 2.19,
931
+ "step": 90
932
+ },
933
+ {
934
+ "epoch": 0.20224719101123595,
935
+ "eval_paws-pos_loss": 0.024471310898661613,
936
+ "eval_paws-pos_runtime": 0.6872,
937
+ "eval_paws-pos_samples_per_second": 186.254,
938
+ "eval_paws-pos_steps_per_second": 2.91,
939
+ "step": 90
940
+ },
941
+ {
942
+ "epoch": 0.20449438202247192,
943
+ "grad_norm": 6.209661483764648,
944
+ "learning_rate": 1.7893258426966292e-05,
945
+ "loss": 2.3489,
946
+ "step": 91
947
+ },
948
+ {
949
+ "epoch": 0.20674157303370785,
950
+ "grad_norm": 3.1821141242980957,
951
+ "learning_rate": 1.8089887640449437e-05,
952
+ "loss": 0.741,
953
+ "step": 92
954
+ },
955
+ {
956
+ "epoch": 0.20898876404494382,
957
+ "grad_norm": 3.871994972229004,
958
+ "learning_rate": 1.8286516853932585e-05,
959
+ "loss": 0.7729,
960
+ "step": 93
961
+ },
962
+ {
963
+ "epoch": 0.21123595505617979,
964
+ "grad_norm": 0.5280765891075134,
965
+ "learning_rate": 1.8483146067415727e-05,
966
+ "loss": 0.0631,
967
+ "step": 94
968
+ },
969
+ {
970
+ "epoch": 0.21348314606741572,
971
+ "grad_norm": 4.475915431976318,
972
+ "learning_rate": 1.8679775280898875e-05,
973
+ "loss": 0.9342,
974
+ "step": 95
975
+ },
976
+ {
977
+ "epoch": 0.2157303370786517,
978
+ "grad_norm": 3.949381113052368,
979
+ "learning_rate": 1.887640449438202e-05,
980
+ "loss": 0.8581,
981
+ "step": 96
982
+ },
983
+ {
984
+ "epoch": 0.21797752808988763,
985
+ "grad_norm": 2.910426616668701,
986
+ "learning_rate": 1.907303370786517e-05,
987
+ "loss": 0.5198,
988
+ "step": 97
989
+ },
990
+ {
991
+ "epoch": 0.2202247191011236,
992
+ "grad_norm": 4.028941631317139,
993
+ "learning_rate": 1.9269662921348313e-05,
994
+ "loss": 0.846,
995
+ "step": 98
996
+ },
997
+ {
998
+ "epoch": 0.22247191011235956,
999
+ "grad_norm": 4.183433532714844,
1000
+ "learning_rate": 1.946629213483146e-05,
1001
+ "loss": 0.6581,
1002
+ "step": 99
1003
+ },
1004
+ {
1005
+ "epoch": 0.2247191011235955,
1006
+ "grad_norm": 3.348114252090454,
1007
+ "learning_rate": 1.9662921348314607e-05,
1008
+ "loss": 0.3579,
1009
+ "step": 100
1010
+ },
1011
+ {
1012
+ "epoch": 0.22696629213483147,
1013
+ "grad_norm": 4.055211544036865,
1014
+ "learning_rate": 1.9859550561797752e-05,
1015
+ "loss": 0.908,
1016
+ "step": 101
1017
+ },
1018
+ {
1019
+ "epoch": 0.2292134831460674,
1020
+ "grad_norm": 1.0024710893630981,
1021
+ "learning_rate": 2.0056179775280897e-05,
1022
+ "loss": 0.0664,
1023
+ "step": 102
1024
+ },
1025
+ {
1026
+ "epoch": 0.23146067415730337,
1027
+ "grad_norm": 3.582249641418457,
1028
+ "learning_rate": 2.0252808988764042e-05,
1029
+ "loss": 0.5411,
1030
+ "step": 103
1031
+ },
1032
+ {
1033
+ "epoch": 0.23370786516853934,
1034
+ "grad_norm": 4.226349830627441,
1035
+ "learning_rate": 2.044943820224719e-05,
1036
+ "loss": 0.9163,
1037
+ "step": 104
1038
+ },
1039
+ {
1040
+ "epoch": 0.23595505617977527,
1041
+ "grad_norm": 3.002727508544922,
1042
+ "learning_rate": 2.0646067415730335e-05,
1043
+ "loss": 0.7975,
1044
+ "step": 105
1045
+ },
1046
+ {
1047
+ "epoch": 0.23820224719101124,
1048
+ "grad_norm": 3.5497515201568604,
1049
+ "learning_rate": 2.084269662921348e-05,
1050
+ "loss": 0.37,
1051
+ "step": 106
1052
+ },
1053
+ {
1054
+ "epoch": 0.24044943820224718,
1055
+ "grad_norm": 4.381045341491699,
1056
+ "learning_rate": 2.103932584269663e-05,
1057
+ "loss": 0.8495,
1058
+ "step": 107
1059
+ },
1060
+ {
1061
+ "epoch": 0.24269662921348314,
1062
+ "grad_norm": 3.926840305328369,
1063
+ "learning_rate": 2.1235955056179773e-05,
1064
+ "loss": 0.8073,
1065
+ "step": 108
1066
+ },
1067
+ {
1068
+ "epoch": 0.2449438202247191,
1069
+ "grad_norm": 3.0835390090942383,
1070
+ "learning_rate": 2.1432584269662922e-05,
1071
+ "loss": 0.7563,
1072
+ "step": 109
1073
+ },
1074
+ {
1075
+ "epoch": 0.24719101123595505,
1076
+ "grad_norm": 4.230669975280762,
1077
+ "learning_rate": 2.1629213483146063e-05,
1078
+ "loss": 0.6585,
1079
+ "step": 110
1080
+ },
1081
+ {
1082
+ "epoch": 0.24943820224719102,
1083
+ "grad_norm": 2.8849070072174072,
1084
+ "learning_rate": 2.1825842696629212e-05,
1085
+ "loss": 0.3246,
1086
+ "step": 111
1087
+ },
1088
+ {
1089
+ "epoch": 0.251685393258427,
1090
+ "grad_norm": 4.796951770782471,
1091
+ "learning_rate": 2.2022471910112357e-05,
1092
+ "loss": 0.9718,
1093
+ "step": 112
1094
+ },
1095
+ {
1096
+ "epoch": 0.2539325842696629,
1097
+ "grad_norm": 4.60318660736084,
1098
+ "learning_rate": 2.2219101123595505e-05,
1099
+ "loss": 0.8584,
1100
+ "step": 113
1101
+ },
1102
+ {
1103
+ "epoch": 0.25617977528089886,
1104
+ "grad_norm": 3.098703384399414,
1105
+ "learning_rate": 2.241573033707865e-05,
1106
+ "loss": 0.3385,
1107
+ "step": 114
1108
+ },
1109
+ {
1110
+ "epoch": 0.25842696629213485,
1111
+ "grad_norm": 2.9519224166870117,
1112
+ "learning_rate": 2.2612359550561795e-05,
1113
+ "loss": 0.323,
1114
+ "step": 115
1115
+ },
1116
+ {
1117
+ "epoch": 0.2606741573033708,
1118
+ "grad_norm": 2.913742780685425,
1119
+ "learning_rate": 2.2808988764044944e-05,
1120
+ "loss": 0.3359,
1121
+ "step": 116
1122
+ },
1123
+ {
1124
+ "epoch": 0.26292134831460673,
1125
+ "grad_norm": 4.148440837860107,
1126
+ "learning_rate": 2.300561797752809e-05,
1127
+ "loss": 0.6955,
1128
+ "step": 117
1129
+ },
1130
+ {
1131
+ "epoch": 0.2651685393258427,
1132
+ "grad_norm": 0.8463248610496521,
1133
+ "learning_rate": 2.3202247191011234e-05,
1134
+ "loss": 0.0539,
1135
+ "step": 118
1136
+ },
1137
+ {
1138
+ "epoch": 0.26741573033707866,
1139
+ "grad_norm": 0.7284589409828186,
1140
+ "learning_rate": 2.339887640449438e-05,
1141
+ "loss": 0.0507,
1142
+ "step": 119
1143
+ },
1144
+ {
1145
+ "epoch": 0.2696629213483146,
1146
+ "grad_norm": 3.615086317062378,
1147
+ "learning_rate": 2.3595505617977527e-05,
1148
+ "loss": 0.314,
1149
+ "step": 120
1150
+ },
1151
+ {
1152
+ "epoch": 0.27191011235955054,
1153
+ "grad_norm": 5.229820728302002,
1154
+ "learning_rate": 2.3792134831460672e-05,
1155
+ "loss": 1.0339,
1156
+ "step": 121
1157
+ },
1158
+ {
1159
+ "epoch": 0.27415730337078653,
1160
+ "grad_norm": 3.6847782135009766,
1161
+ "learning_rate": 2.3988764044943817e-05,
1162
+ "loss": 0.3158,
1163
+ "step": 122
1164
+ },
1165
+ {
1166
+ "epoch": 0.27640449438202247,
1167
+ "grad_norm": 4.280517578125,
1168
+ "learning_rate": 2.4185393258426965e-05,
1169
+ "loss": 0.7809,
1170
+ "step": 123
1171
+ },
1172
+ {
1173
+ "epoch": 0.2786516853932584,
1174
+ "grad_norm": 4.476150035858154,
1175
+ "learning_rate": 2.438202247191011e-05,
1176
+ "loss": 0.9516,
1177
+ "step": 124
1178
+ },
1179
+ {
1180
+ "epoch": 0.2808988764044944,
1181
+ "grad_norm": 2.7380239963531494,
1182
+ "learning_rate": 2.457865168539326e-05,
1183
+ "loss": 0.3117,
1184
+ "step": 125
1185
+ },
1186
+ {
1187
+ "epoch": 0.28314606741573034,
1188
+ "grad_norm": 3.9667162895202637,
1189
+ "learning_rate": 2.47752808988764e-05,
1190
+ "loss": 0.8366,
1191
+ "step": 126
1192
+ },
1193
+ {
1194
+ "epoch": 0.2853932584269663,
1195
+ "grad_norm": 4.552999019622803,
1196
+ "learning_rate": 2.497191011235955e-05,
1197
+ "loss": 0.8033,
1198
+ "step": 127
1199
+ },
1200
+ {
1201
+ "epoch": 0.2876404494382023,
1202
+ "grad_norm": 3.4238576889038086,
1203
+ "learning_rate": 2.5168539325842694e-05,
1204
+ "loss": 0.7253,
1205
+ "step": 128
1206
+ },
1207
+ {
1208
+ "epoch": 0.2898876404494382,
1209
+ "grad_norm": 4.677807331085205,
1210
+ "learning_rate": 2.5365168539325842e-05,
1211
+ "loss": 0.8345,
1212
+ "step": 129
1213
+ },
1214
+ {
1215
+ "epoch": 0.29213483146067415,
1216
+ "grad_norm": 4.282113075256348,
1217
+ "learning_rate": 2.5561797752808987e-05,
1218
+ "loss": 0.7532,
1219
+ "step": 130
1220
+ },
1221
+ {
1222
+ "epoch": 0.2943820224719101,
1223
+ "grad_norm": 4.375221252441406,
1224
+ "learning_rate": 2.5758426966292132e-05,
1225
+ "loss": 0.8247,
1226
+ "step": 131
1227
+ },
1228
+ {
1229
+ "epoch": 0.2966292134831461,
1230
+ "grad_norm": 3.2591633796691895,
1231
+ "learning_rate": 2.595505617977528e-05,
1232
+ "loss": 0.5175,
1233
+ "step": 132
1234
+ },
1235
+ {
1236
+ "epoch": 0.298876404494382,
1237
+ "grad_norm": 4.146636962890625,
1238
+ "learning_rate": 2.6151685393258425e-05,
1239
+ "loss": 0.7813,
1240
+ "step": 133
1241
+ },
1242
+ {
1243
+ "epoch": 0.30112359550561796,
1244
+ "grad_norm": 4.2413249015808105,
1245
+ "learning_rate": 2.634831460674157e-05,
1246
+ "loss": 0.6582,
1247
+ "step": 134
1248
+ },
1249
+ {
1250
+ "epoch": 0.30337078651685395,
1251
+ "grad_norm": 4.541455268859863,
1252
+ "learning_rate": 2.6544943820224715e-05,
1253
+ "loss": 0.3484,
1254
+ "step": 135
1255
+ },
1256
+ {
1257
+ "epoch": 0.30337078651685395,
1258
+ "eval_VitaminC_cosine_accuracy": 0.560546875,
1259
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7956135272979736,
1260
+ "eval_VitaminC_cosine_ap": 0.5505565383154402,
1261
+ "eval_VitaminC_cosine_f1": 0.6684709066305818,
1262
+ "eval_VitaminC_cosine_f1_threshold": 0.40466147661209106,
1263
+ "eval_VitaminC_cosine_precision": 0.5061475409836066,
1264
+ "eval_VitaminC_cosine_recall": 0.9840637450199203,
1265
+ "eval_VitaminC_dot_accuracy": 0.5546875,
1266
+ "eval_VitaminC_dot_accuracy_threshold": 312.2774658203125,
1267
+ "eval_VitaminC_dot_ap": 0.5365135091766033,
1268
+ "eval_VitaminC_dot_f1": 0.6684856753069577,
1269
+ "eval_VitaminC_dot_f1_threshold": 157.33203125,
1270
+ "eval_VitaminC_dot_precision": 0.508298755186722,
1271
+ "eval_VitaminC_dot_recall": 0.9760956175298805,
1272
+ "eval_VitaminC_euclidean_accuracy": 0.5546875,
1273
+ "eval_VitaminC_euclidean_accuracy_threshold": 12.184114456176758,
1274
+ "eval_VitaminC_euclidean_ap": 0.5517706579195627,
1275
+ "eval_VitaminC_euclidean_f1": 0.6649006622516557,
1276
+ "eval_VitaminC_euclidean_f1_threshold": 23.68879508972168,
1277
+ "eval_VitaminC_euclidean_precision": 0.498015873015873,
1278
+ "eval_VitaminC_euclidean_recall": 1.0,
1279
+ "eval_VitaminC_manhattan_accuracy": 0.5546875,
1280
+ "eval_VitaminC_manhattan_accuracy_threshold": 241.22061157226562,
1281
+ "eval_VitaminC_manhattan_ap": 0.5494156168773414,
1282
+ "eval_VitaminC_manhattan_f1": 0.6649006622516557,
1283
+ "eval_VitaminC_manhattan_f1_threshold": 510.2530212402344,
1284
+ "eval_VitaminC_manhattan_precision": 0.498015873015873,
1285
+ "eval_VitaminC_manhattan_recall": 1.0,
1286
+ "eval_VitaminC_max_accuracy": 0.560546875,
1287
+ "eval_VitaminC_max_accuracy_threshold": 312.2774658203125,
1288
+ "eval_VitaminC_max_ap": 0.5517706579195627,
1289
+ "eval_VitaminC_max_f1": 0.6684856753069577,
1290
+ "eval_VitaminC_max_f1_threshold": 510.2530212402344,
1291
+ "eval_VitaminC_max_precision": 0.508298755186722,
1292
+ "eval_VitaminC_max_recall": 1.0,
1293
+ "eval_sequential_score": 0.5517706579195627,
1294
+ "eval_sts-test_pearson_cosine": 0.8812438499723412,
1295
+ "eval_sts-test_pearson_dot": 0.8695651753004092,
1296
+ "eval_sts-test_pearson_euclidean": 0.9036940037118162,
1297
+ "eval_sts-test_pearson_manhattan": 0.9035516699922166,
1298
+ "eval_sts-test_pearson_max": 0.9036940037118162,
1299
+ "eval_sts-test_spearman_cosine": 0.9049742835092648,
1300
+ "eval_sts-test_spearman_dot": 0.8707925987895928,
1301
+ "eval_sts-test_spearman_euclidean": 0.9003956924537878,
1302
+ "eval_sts-test_spearman_manhattan": 0.9002747745455083,
1303
+ "eval_sts-test_spearman_max": 0.9049742835092648,
1304
+ "eval_vitaminc-pairs_loss": 1.5520410537719727,
1305
+ "eval_vitaminc-pairs_runtime": 1.8323,
1306
+ "eval_vitaminc-pairs_samples_per_second": 58.943,
1307
+ "eval_vitaminc-pairs_steps_per_second": 1.092,
1308
+ "step": 135
1309
+ },
1310
+ {
1311
+ "epoch": 0.30337078651685395,
1312
+ "eval_negation-triplets_loss": 0.9211694002151489,
1313
+ "eval_negation-triplets_runtime": 0.2923,
1314
+ "eval_negation-triplets_samples_per_second": 218.93,
1315
+ "eval_negation-triplets_steps_per_second": 3.421,
1316
+ "step": 135
1317
+ },
1318
+ {
1319
+ "epoch": 0.30337078651685395,
1320
+ "eval_scitail-pairs-pos_loss": 0.07377135753631592,
1321
+ "eval_scitail-pairs-pos_runtime": 0.3681,
1322
+ "eval_scitail-pairs-pos_samples_per_second": 146.691,
1323
+ "eval_scitail-pairs-pos_steps_per_second": 2.716,
1324
+ "step": 135
1325
+ },
1326
+ {
1327
+ "epoch": 0.30337078651685395,
1328
+ "eval_scitail-pairs-qa_loss": 0.00150959100574255,
1329
+ "eval_scitail-pairs-qa_runtime": 0.5123,
1330
+ "eval_scitail-pairs-qa_samples_per_second": 249.842,
1331
+ "eval_scitail-pairs-qa_steps_per_second": 3.904,
1332
+ "step": 135
1333
+ },
1334
+ {
1335
+ "epoch": 0.30337078651685395,
1336
+ "eval_xsum-pairs_loss": 0.036599572747945786,
1337
+ "eval_xsum-pairs_runtime": 2.7238,
1338
+ "eval_xsum-pairs_samples_per_second": 46.994,
1339
+ "eval_xsum-pairs_steps_per_second": 0.734,
1340
+ "step": 135
1341
+ },
1342
+ {
1343
+ "epoch": 0.30337078651685395,
1344
+ "eval_sciq_pairs_loss": 0.01615014858543873,
1345
+ "eval_sciq_pairs_runtime": 2.8064,
1346
+ "eval_sciq_pairs_samples_per_second": 45.61,
1347
+ "eval_sciq_pairs_steps_per_second": 0.713,
1348
+ "step": 135
1349
+ },
1350
+ {
1351
+ "epoch": 0.30337078651685395,
1352
+ "eval_qasc_pairs_loss": 0.09235507994890213,
1353
+ "eval_qasc_pairs_runtime": 0.6488,
1354
+ "eval_qasc_pairs_samples_per_second": 197.276,
1355
+ "eval_qasc_pairs_steps_per_second": 3.082,
1356
+ "step": 135
1357
+ },
1358
+ {
1359
+ "epoch": 0.30337078651685395,
1360
+ "eval_openbookqa_pairs_loss": 0.6891775727272034,
1361
+ "eval_openbookqa_pairs_runtime": 0.5698,
1362
+ "eval_openbookqa_pairs_samples_per_second": 224.641,
1363
+ "eval_openbookqa_pairs_steps_per_second": 3.51,
1364
+ "step": 135
1365
+ },
1366
+ {
1367
+ "epoch": 0.30337078651685395,
1368
+ "eval_msmarco_pairs_loss": 0.16766037046909332,
1369
+ "eval_msmarco_pairs_runtime": 1.4798,
1370
+ "eval_msmarco_pairs_samples_per_second": 86.499,
1371
+ "eval_msmarco_pairs_steps_per_second": 1.352,
1372
+ "step": 135
1373
+ },
1374
+ {
1375
+ "epoch": 0.30337078651685395,
1376
+ "eval_nq_pairs_loss": 0.09737721085548401,
1377
+ "eval_nq_pairs_runtime": 2.3409,
1378
+ "eval_nq_pairs_samples_per_second": 54.68,
1379
+ "eval_nq_pairs_steps_per_second": 0.854,
1380
+ "step": 135
1381
+ },
1382
+ {
1383
+ "epoch": 0.30337078651685395,
1384
+ "eval_trivia_pairs_loss": 0.5458433032035828,
1385
+ "eval_trivia_pairs_runtime": 3.5771,
1386
+ "eval_trivia_pairs_samples_per_second": 35.783,
1387
+ "eval_trivia_pairs_steps_per_second": 0.559,
1388
+ "step": 135
1389
+ },
1390
+ {
1391
+ "epoch": 0.30337078651685395,
1392
+ "eval_gooaq_pairs_loss": 0.3082329332828522,
1393
+ "eval_gooaq_pairs_runtime": 0.9181,
1394
+ "eval_gooaq_pairs_samples_per_second": 139.413,
1395
+ "eval_gooaq_pairs_steps_per_second": 2.178,
1396
+ "step": 135
1397
+ },
1398
+ {
1399
+ "epoch": 0.30337078651685395,
1400
+ "eval_paws-pos_loss": 0.02423396334052086,
1401
+ "eval_paws-pos_runtime": 0.6827,
1402
+ "eval_paws-pos_samples_per_second": 187.501,
1403
+ "eval_paws-pos_steps_per_second": 2.93,
1404
+ "step": 135
1405
+ },
1406
+ {
1407
+ "epoch": 0.3056179775280899,
1408
+ "grad_norm": 4.549901485443115,
1409
+ "learning_rate": 2.6741573033707864e-05,
1410
+ "loss": 0.7648,
1411
+ "step": 136
1412
+ },
1413
+ {
1414
+ "epoch": 0.30786516853932583,
1415
+ "grad_norm": 3.225851535797119,
1416
+ "learning_rate": 2.693820224719101e-05,
1417
+ "loss": 0.7554,
1418
+ "step": 137
1419
+ },
1420
+ {
1421
+ "epoch": 0.3101123595505618,
1422
+ "grad_norm": 0.6228423118591309,
1423
+ "learning_rate": 2.7134831460674154e-05,
1424
+ "loss": 0.0753,
1425
+ "step": 138
1426
+ },
1427
+ {
1428
+ "epoch": 0.31235955056179776,
1429
+ "grad_norm": 3.12802791595459,
1430
+ "learning_rate": 2.7331460674157302e-05,
1431
+ "loss": 0.4987,
1432
+ "step": 139
1433
+ },
1434
+ {
1435
+ "epoch": 0.3146067415730337,
1436
+ "grad_norm": 4.1997880935668945,
1437
+ "learning_rate": 2.7528089887640447e-05,
1438
+ "loss": 0.8543,
1439
+ "step": 140
1440
+ },
1441
+ {
1442
+ "epoch": 0.31685393258426964,
1443
+ "grad_norm": 4.3362860679626465,
1444
+ "learning_rate": 2.7724719101123595e-05,
1445
+ "loss": 0.9425,
1446
+ "step": 141
1447
+ },
1448
+ {
1449
+ "epoch": 0.31910112359550563,
1450
+ "grad_norm": 0.5599316954612732,
1451
+ "learning_rate": 2.7921348314606737e-05,
1452
+ "loss": 0.0472,
1453
+ "step": 142
1454
+ },
1455
+ {
1456
+ "epoch": 0.32134831460674157,
1457
+ "grad_norm": 3.503603458404541,
1458
+ "learning_rate": 2.8117977528089885e-05,
1459
+ "loss": 0.848,
1460
+ "step": 143
1461
+ },
1462
+ {
1463
+ "epoch": 0.3235955056179775,
1464
+ "grad_norm": 4.712310314178467,
1465
+ "learning_rate": 2.831460674157303e-05,
1466
+ "loss": 0.8946,
1467
+ "step": 144
1468
+ },
1469
+ {
1470
+ "epoch": 0.3258426966292135,
1471
+ "grad_norm": 3.1823527812957764,
1472
+ "learning_rate": 2.851123595505618e-05,
1473
+ "loss": 0.7841,
1474
+ "step": 145
1475
+ },
1476
+ {
1477
+ "epoch": 0.32808988764044944,
1478
+ "grad_norm": 4.423196315765381,
1479
+ "learning_rate": 2.8707865168539324e-05,
1480
+ "loss": 0.6653,
1481
+ "step": 146
1482
+ },
1483
+ {
1484
+ "epoch": 0.3303370786516854,
1485
+ "grad_norm": 4.137822151184082,
1486
+ "learning_rate": 2.890449438202247e-05,
1487
+ "loss": 0.3522,
1488
+ "step": 147
1489
+ },
1490
+ {
1491
+ "epoch": 0.3325842696629214,
1492
+ "grad_norm": 2.997777223587036,
1493
+ "learning_rate": 2.9101123595505617e-05,
1494
+ "loss": 0.4853,
1495
+ "step": 148
1496
+ },
1497
+ {
1498
+ "epoch": 0.3348314606741573,
1499
+ "grad_norm": 2.89650559425354,
1500
+ "learning_rate": 2.9297752808988762e-05,
1501
+ "loss": 0.4726,
1502
+ "step": 149
1503
+ },
1504
+ {
1505
+ "epoch": 0.33707865168539325,
1506
+ "grad_norm": 5.486624717712402,
1507
+ "learning_rate": 2.9494382022471907e-05,
1508
+ "loss": 0.8693,
1509
+ "step": 150
1510
+ },
1511
+ {
1512
+ "epoch": 0.3393258426966292,
1513
+ "grad_norm": 4.800889015197754,
1514
+ "learning_rate": 2.9691011235955052e-05,
1515
+ "loss": 0.8124,
1516
+ "step": 151
1517
+ },
1518
+ {
1519
+ "epoch": 0.3415730337078652,
1520
+ "grad_norm": 4.188066005706787,
1521
+ "learning_rate": 2.98876404494382e-05,
1522
+ "loss": 0.8206,
1523
+ "step": 152
1524
+ },
1525
+ {
1526
+ "epoch": 0.3438202247191011,
1527
+ "grad_norm": 4.340461254119873,
1528
+ "learning_rate": 3.0084269662921345e-05,
1529
+ "loss": 0.9406,
1530
+ "step": 153
1531
+ },
1532
+ {
1533
+ "epoch": 0.34606741573033706,
1534
+ "grad_norm": 4.658304214477539,
1535
+ "learning_rate": 3.028089887640449e-05,
1536
+ "loss": 0.7944,
1537
+ "step": 154
1538
+ },
1539
+ {
1540
+ "epoch": 0.34831460674157305,
1541
+ "grad_norm": 0.6266987919807434,
1542
+ "learning_rate": 3.047752808988764e-05,
1543
+ "loss": 0.0766,
1544
+ "step": 155
1545
+ },
1546
+ {
1547
+ "epoch": 0.350561797752809,
1548
+ "grad_norm": 4.252346515655518,
1549
+ "learning_rate": 3.067415730337079e-05,
1550
+ "loss": 0.8609,
1551
+ "step": 156
1552
+ },
1553
+ {
1554
+ "epoch": 0.35280898876404493,
1555
+ "grad_norm": 4.9649658203125,
1556
+ "learning_rate": 3.087078651685393e-05,
1557
+ "loss": 1.0533,
1558
+ "step": 157
1559
+ },
1560
+ {
1561
+ "epoch": 0.3550561797752809,
1562
+ "grad_norm": 4.485607624053955,
1563
+ "learning_rate": 3.106741573033708e-05,
1564
+ "loss": 0.8396,
1565
+ "step": 158
1566
+ },
1567
+ {
1568
+ "epoch": 0.35730337078651686,
1569
+ "grad_norm": 3.241231918334961,
1570
+ "learning_rate": 3.126404494382022e-05,
1571
+ "loss": 0.7865,
1572
+ "step": 159
1573
+ },
1574
+ {
1575
+ "epoch": 0.3595505617977528,
1576
+ "grad_norm": 6.846582889556885,
1577
+ "learning_rate": 3.146067415730337e-05,
1578
+ "loss": 2.4616,
1579
+ "step": 160
1580
+ },
1581
+ {
1582
+ "epoch": 0.36179775280898874,
1583
+ "grad_norm": 0.5514687895774841,
1584
+ "learning_rate": 3.165730337078651e-05,
1585
+ "loss": 0.0556,
1586
+ "step": 161
1587
+ },
1588
+ {
1589
+ "epoch": 0.36404494382022473,
1590
+ "grad_norm": 3.7877562046051025,
1591
+ "learning_rate": 3.185393258426966e-05,
1592
+ "loss": 0.3758,
1593
+ "step": 162
1594
+ },
1595
+ {
1596
+ "epoch": 0.36629213483146067,
1597
+ "grad_norm": 5.397939682006836,
1598
+ "learning_rate": 3.205056179775281e-05,
1599
+ "loss": 0.9312,
1600
+ "step": 163
1601
+ },
1602
+ {
1603
+ "epoch": 0.3685393258426966,
1604
+ "grad_norm": 4.301459312438965,
1605
+ "learning_rate": 3.2247191011235954e-05,
1606
+ "loss": 0.7993,
1607
+ "step": 164
1608
+ },
1609
+ {
1610
+ "epoch": 0.3707865168539326,
1611
+ "grad_norm": 4.49428129196167,
1612
+ "learning_rate": 3.24438202247191e-05,
1613
+ "loss": 0.8104,
1614
+ "step": 165
1615
+ },
1616
+ {
1617
+ "epoch": 0.37303370786516854,
1618
+ "grad_norm": 3.2210912704467773,
1619
+ "learning_rate": 3.2640449438202244e-05,
1620
+ "loss": 0.8199,
1621
+ "step": 166
1622
+ },
1623
+ {
1624
+ "epoch": 0.3752808988764045,
1625
+ "grad_norm": 5.359859466552734,
1626
+ "learning_rate": 3.283707865168539e-05,
1627
+ "loss": 1.0724,
1628
+ "step": 167
1629
+ },
1630
+ {
1631
+ "epoch": 0.3775280898876405,
1632
+ "grad_norm": 4.00059700012207,
1633
+ "learning_rate": 3.3033707865168534e-05,
1634
+ "loss": 0.3521,
1635
+ "step": 168
1636
+ },
1637
+ {
1638
+ "epoch": 0.3797752808988764,
1639
+ "grad_norm": 4.418768882751465,
1640
+ "learning_rate": 3.3230337078651685e-05,
1641
+ "loss": 0.8536,
1642
+ "step": 169
1643
+ },
1644
+ {
1645
+ "epoch": 0.38202247191011235,
1646
+ "grad_norm": 4.15454626083374,
1647
+ "learning_rate": 3.342696629213483e-05,
1648
+ "loss": 0.872,
1649
+ "step": 170
1650
+ },
1651
+ {
1652
+ "epoch": 0.3842696629213483,
1653
+ "grad_norm": 3.8060054779052734,
1654
+ "learning_rate": 3.3623595505617975e-05,
1655
+ "loss": 0.8009,
1656
+ "step": 171
1657
+ },
1658
+ {
1659
+ "epoch": 0.3865168539325843,
1660
+ "grad_norm": 3.584745407104492,
1661
+ "learning_rate": 3.382022471910112e-05,
1662
+ "loss": 0.7798,
1663
+ "step": 172
1664
+ },
1665
+ {
1666
+ "epoch": 0.3887640449438202,
1667
+ "grad_norm": 4.861410140991211,
1668
+ "learning_rate": 3.4016853932584265e-05,
1669
+ "loss": 0.5953,
1670
+ "step": 173
1671
+ },
1672
+ {
1673
+ "epoch": 0.39101123595505616,
1674
+ "grad_norm": 3.983793020248413,
1675
+ "learning_rate": 3.421348314606741e-05,
1676
+ "loss": 0.7562,
1677
+ "step": 174
1678
+ },
1679
+ {
1680
+ "epoch": 0.39325842696629215,
1681
+ "grad_norm": 4.841738224029541,
1682
+ "learning_rate": 3.4410112359550555e-05,
1683
+ "loss": 0.7227,
1684
+ "step": 175
1685
+ },
1686
+ {
1687
+ "epoch": 0.3955056179775281,
1688
+ "grad_norm": 4.787370204925537,
1689
+ "learning_rate": 3.460674157303371e-05,
1690
+ "loss": 0.8953,
1691
+ "step": 176
1692
+ },
1693
+ {
1694
+ "epoch": 0.39775280898876403,
1695
+ "grad_norm": 4.337812900543213,
1696
+ "learning_rate": 3.480337078651685e-05,
1697
+ "loss": 0.7102,
1698
+ "step": 177
1699
+ },
1700
+ {
1701
+ "epoch": 0.4,
1702
+ "grad_norm": 0.9599294662475586,
1703
+ "learning_rate": 3.5e-05,
1704
+ "loss": 0.0667,
1705
+ "step": 178
1706
+ }
1707
+ ],
1708
+ "logging_steps": 1,
1709
+ "max_steps": 890,
1710
+ "num_input_tokens_seen": 0,
1711
+ "num_train_epochs": 2,
1712
+ "save_steps": 89,
1713
+ "stateful_callbacks": {
1714
+ "TrainerControl": {
1715
+ "args": {
1716
+ "should_epoch_stop": false,
1717
+ "should_evaluate": false,
1718
+ "should_log": false,
1719
+ "should_save": true,
1720
+ "should_training_stop": false
1721
+ },
1722
+ "attributes": {}
1723
+ }
1724
+ },
1725
+ "total_flos": 0.0,
1726
+ "train_batch_size": 640,
1727
+ "trial_name": null,
1728
+ "trial_params": null
1729
+ }
checkpoint-178/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3db14a166daba939b5d6d6e272be7e74379c2defcff24dc5638ec137086aaf24
3
+ size 5752