bobox commited on
Commit
4624e5c
·
verified ·
1 Parent(s): 752b1c7

Training in progress, step 785, checkpoint

Browse files
checkpoint-785/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 1536,
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-785/README.md ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-785/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
checkpoint-785/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/deberta-v2-xlarge",
3
+ "architectures": [
4
+ "DebertaV2Model"
5
+ ],
6
+ "attention_head_size": 64,
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "conv_act": "gelu",
9
+ "conv_kernel_size": 3,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 1536,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 6144,
15
+ "layer_norm_eps": 1e-07,
16
+ "max_position_embeddings": 512,
17
+ "max_relative_positions": -1,
18
+ "model_type": "deberta-v2",
19
+ "norm_rel_ebd": "layer_norm",
20
+ "num_attention_heads": 24,
21
+ "num_hidden_layers": 24,
22
+ "pad_token_id": 0,
23
+ "pooler_dropout": 0,
24
+ "pooler_hidden_act": "gelu",
25
+ "pooler_hidden_size": 1536,
26
+ "pos_att_type": [
27
+ "p2c",
28
+ "c2p"
29
+ ],
30
+ "position_biased_input": false,
31
+ "position_buckets": 256,
32
+ "relative_attention": true,
33
+ "share_att_key": true,
34
+ "torch_dtype": "float32",
35
+ "transformers_version": "4.42.4",
36
+ "type_vocab_size": 0,
37
+ "vocab_size": 128100
38
+ }
checkpoint-785/config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.0.1",
4
+ "transformers": "4.42.4",
5
+ "pytorch": "2.4.0+cu121"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
checkpoint-785/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-785/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7923a627f833e610eb1a6315ecd29e26095e401beb96b66549e0f773ed0f633f
3
+ size 7077084396
checkpoint-785/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ff74b56005754d4fc76b019b61f5a9bf1ca4687172d541db81bd31a2ea1534f
3
+ size 3538506546
checkpoint-785/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa322dec25a9b8662f90be53772c4397c7d870e9bfd81095a7698a7f614215ea
3
+ size 14244
checkpoint-785/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4d162efed55b47c14973978a32b913eff5bea0cdc4de3ce88b6b8799baa34b3
3
+ size 1064
checkpoint-785/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
checkpoint-785/special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "eos_token": "[SEP]",
5
+ "mask_token": "[MASK]",
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "unk_token": {
9
+ "content": "[UNK]",
10
+ "lstrip": false,
11
+ "normalized": true,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ }
15
+ }
checkpoint-785/spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
3
+ size 2447305
checkpoint-785/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-785/tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "model_max_length": 1000000000000000019884624838656,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "sp_model_kwargs": {},
54
+ "split_by_punct": false,
55
+ "tokenizer_class": "DebertaV2Tokenizer",
56
+ "unk_token": "[UNK]",
57
+ "vocab_type": "spm"
58
+ }
checkpoint-785/trainer_state.json ADDED
@@ -0,0 +1,1341 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.5019181585677749,
5
+ "eval_steps": 157,
6
+ "global_step": 785,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010230179028132993,
13
+ "grad_norm": 127.07197570800781,
14
+ "learning_rate": 2.129925452609159e-07,
15
+ "loss": 7.0465,
16
+ "step": 16
17
+ },
18
+ {
19
+ "epoch": 0.020460358056265986,
20
+ "grad_norm": 193.34689331054688,
21
+ "learning_rate": 5.537806176783813e-07,
22
+ "loss": 9.0583,
23
+ "step": 32
24
+ },
25
+ {
26
+ "epoch": 0.030690537084398978,
27
+ "grad_norm": 183.065185546875,
28
+ "learning_rate": 8.732694355697552e-07,
29
+ "loss": 8.6271,
30
+ "step": 48
31
+ },
32
+ {
33
+ "epoch": 0.04092071611253197,
34
+ "grad_norm": 150.517333984375,
35
+ "learning_rate": 1.2140575079872206e-06,
36
+ "loss": 5.6026,
37
+ "step": 64
38
+ },
39
+ {
40
+ "epoch": 0.05115089514066496,
41
+ "grad_norm": 78.38551330566406,
42
+ "learning_rate": 1.5335463258785943e-06,
43
+ "loss": 4.6908,
44
+ "step": 80
45
+ },
46
+ {
47
+ "epoch": 0.061381074168797956,
48
+ "grad_norm": 106.0997314453125,
49
+ "learning_rate": 1.8743343982960599e-06,
50
+ "loss": 3.1954,
51
+ "step": 96
52
+ },
53
+ {
54
+ "epoch": 0.07161125319693094,
55
+ "grad_norm": 47.50294876098633,
56
+ "learning_rate": 2.215122470713525e-06,
57
+ "loss": 2.1179,
58
+ "step": 112
59
+ },
60
+ {
61
+ "epoch": 0.08184143222506395,
62
+ "grad_norm": 24.581972122192383,
63
+ "learning_rate": 2.5559105431309904e-06,
64
+ "loss": 1.2636,
65
+ "step": 128
66
+ },
67
+ {
68
+ "epoch": 0.09207161125319693,
69
+ "grad_norm": 219.01101684570312,
70
+ "learning_rate": 2.8966986155484563e-06,
71
+ "loss": 0.8325,
72
+ "step": 144
73
+ },
74
+ {
75
+ "epoch": 0.100383631713555,
76
+ "eval_Qnli-dev_cosine_accuracy": 0.65234375,
77
+ "eval_Qnli-dev_cosine_accuracy_threshold": 0.8284608125686646,
78
+ "eval_Qnli-dev_cosine_ap": 0.6663718886737695,
79
+ "eval_Qnli-dev_cosine_f1": 0.6469673405909797,
80
+ "eval_Qnli-dev_cosine_f1_threshold": 0.702437698841095,
81
+ "eval_Qnli-dev_cosine_precision": 0.5110565110565111,
82
+ "eval_Qnli-dev_cosine_recall": 0.8813559322033898,
83
+ "eval_Qnli-dev_dot_accuracy": 0.654296875,
84
+ "eval_Qnli-dev_dot_accuracy_threshold": 899.9195556640625,
85
+ "eval_Qnli-dev_dot_ap": 0.6265727343636489,
86
+ "eval_Qnli-dev_dot_f1": 0.6462480857580397,
87
+ "eval_Qnli-dev_dot_f1_threshold": 708.03076171875,
88
+ "eval_Qnli-dev_dot_precision": 0.5059952038369304,
89
+ "eval_Qnli-dev_dot_recall": 0.8940677966101694,
90
+ "eval_Qnli-dev_euclidean_accuracy": 0.654296875,
91
+ "eval_Qnli-dev_euclidean_accuracy_threshold": 17.465450286865234,
92
+ "eval_Qnli-dev_euclidean_ap": 0.6678841105609593,
93
+ "eval_Qnli-dev_euclidean_f1": 0.6485568760611206,
94
+ "eval_Qnli-dev_euclidean_f1_threshold": 22.50777244567871,
95
+ "eval_Qnli-dev_euclidean_precision": 0.5410764872521246,
96
+ "eval_Qnli-dev_euclidean_recall": 0.809322033898305,
97
+ "eval_Qnli-dev_manhattan_accuracy": 0.654296875,
98
+ "eval_Qnli-dev_manhattan_accuracy_threshold": 541.6007080078125,
99
+ "eval_Qnli-dev_manhattan_ap": 0.6671352135215549,
100
+ "eval_Qnli-dev_manhattan_f1": 0.6472602739726028,
101
+ "eval_Qnli-dev_manhattan_f1_threshold": 693.766845703125,
102
+ "eval_Qnli-dev_manhattan_precision": 0.5431034482758621,
103
+ "eval_Qnli-dev_manhattan_recall": 0.8008474576271186,
104
+ "eval_Qnli-dev_max_accuracy": 0.654296875,
105
+ "eval_Qnli-dev_max_accuracy_threshold": 899.9195556640625,
106
+ "eval_Qnli-dev_max_ap": 0.6678841105609593,
107
+ "eval_Qnli-dev_max_f1": 0.6485568760611206,
108
+ "eval_Qnli-dev_max_f1_threshold": 708.03076171875,
109
+ "eval_Qnli-dev_max_precision": 0.5431034482758621,
110
+ "eval_Qnli-dev_max_recall": 0.8940677966101694,
111
+ "eval_allNLI-dev_cosine_accuracy": 0.69140625,
112
+ "eval_allNLI-dev_cosine_accuracy_threshold": 0.8886671662330627,
113
+ "eval_allNLI-dev_cosine_ap": 0.5184375875165067,
114
+ "eval_allNLI-dev_cosine_f1": 0.5584415584415584,
115
+ "eval_allNLI-dev_cosine_f1_threshold": 0.7475587725639343,
116
+ "eval_allNLI-dev_cosine_precision": 0.4463667820069204,
117
+ "eval_allNLI-dev_cosine_recall": 0.7456647398843931,
118
+ "eval_allNLI-dev_dot_accuracy": 0.689453125,
119
+ "eval_allNLI-dev_dot_accuracy_threshold": 935.1204223632812,
120
+ "eval_allNLI-dev_dot_ap": 0.4904119502439996,
121
+ "eval_allNLI-dev_dot_f1": 0.5509259259259259,
122
+ "eval_allNLI-dev_dot_f1_threshold": 803.4815673828125,
123
+ "eval_allNLI-dev_dot_precision": 0.4594594594594595,
124
+ "eval_allNLI-dev_dot_recall": 0.6878612716763006,
125
+ "eval_allNLI-dev_euclidean_accuracy": 0.6953125,
126
+ "eval_allNLI-dev_euclidean_accuracy_threshold": 15.452061653137207,
127
+ "eval_allNLI-dev_euclidean_ap": 0.5162188247814465,
128
+ "eval_allNLI-dev_euclidean_f1": 0.5557986870897156,
129
+ "eval_allNLI-dev_euclidean_f1_threshold": 22.695791244506836,
130
+ "eval_allNLI-dev_euclidean_precision": 0.4471830985915493,
131
+ "eval_allNLI-dev_euclidean_recall": 0.7341040462427746,
132
+ "eval_allNLI-dev_manhattan_accuracy": 0.693359375,
133
+ "eval_allNLI-dev_manhattan_accuracy_threshold": 484.3291015625,
134
+ "eval_allNLI-dev_manhattan_ap": 0.5171097761848361,
135
+ "eval_allNLI-dev_manhattan_f1": 0.5550660792951542,
136
+ "eval_allNLI-dev_manhattan_f1_threshold": 707.2572631835938,
137
+ "eval_allNLI-dev_manhattan_precision": 0.4483985765124555,
138
+ "eval_allNLI-dev_manhattan_recall": 0.7283236994219653,
139
+ "eval_allNLI-dev_max_accuracy": 0.6953125,
140
+ "eval_allNLI-dev_max_accuracy_threshold": 935.1204223632812,
141
+ "eval_allNLI-dev_max_ap": 0.5184375875165067,
142
+ "eval_allNLI-dev_max_f1": 0.5584415584415584,
143
+ "eval_allNLI-dev_max_f1_threshold": 803.4815673828125,
144
+ "eval_allNLI-dev_max_precision": 0.4594594594594595,
145
+ "eval_allNLI-dev_max_recall": 0.7456647398843931,
146
+ "eval_sequential_score": 0.6678841105609593,
147
+ "eval_sts-test_pearson_cosine": 0.8691399425075377,
148
+ "eval_sts-test_pearson_dot": 0.84633945645717,
149
+ "eval_sts-test_pearson_euclidean": 0.8863973274037125,
150
+ "eval_sts-test_pearson_manhattan": 0.887205994467606,
151
+ "eval_sts-test_pearson_max": 0.887205994467606,
152
+ "eval_sts-test_spearman_cosine": 0.8753474716765325,
153
+ "eval_sts-test_spearman_dot": 0.8345210301629428,
154
+ "eval_sts-test_spearman_euclidean": 0.8755160049269324,
155
+ "eval_sts-test_spearman_manhattan": 0.8763851191744148,
156
+ "eval_sts-test_spearman_max": 0.8763851191744148,
157
+ "eval_vitaminc-pairs_loss": 3.764756917953491,
158
+ "eval_vitaminc-pairs_runtime": 4.7024,
159
+ "eval_vitaminc-pairs_samples_per_second": 27.22,
160
+ "eval_vitaminc-pairs_steps_per_second": 0.213,
161
+ "step": 157
162
+ },
163
+ {
164
+ "epoch": 0.100383631713555,
165
+ "eval_negation-triplets_loss": 1.4374932050704956,
166
+ "eval_negation-triplets_runtime": 3.2218,
167
+ "eval_negation-triplets_samples_per_second": 39.73,
168
+ "eval_negation-triplets_steps_per_second": 0.31,
169
+ "step": 157
170
+ },
171
+ {
172
+ "epoch": 0.100383631713555,
173
+ "eval_scitail-pairs-pos_loss": 0.07158112525939941,
174
+ "eval_scitail-pairs-pos_runtime": 2.7614,
175
+ "eval_scitail-pairs-pos_samples_per_second": 46.353,
176
+ "eval_scitail-pairs-pos_steps_per_second": 0.362,
177
+ "step": 157
178
+ },
179
+ {
180
+ "epoch": 0.100383631713555,
181
+ "eval_scitail-pairs-qa_loss": 0.11121156811714172,
182
+ "eval_scitail-pairs-qa_runtime": 2.2983,
183
+ "eval_scitail-pairs-qa_samples_per_second": 55.694,
184
+ "eval_scitail-pairs-qa_steps_per_second": 0.435,
185
+ "step": 157
186
+ },
187
+ {
188
+ "epoch": 0.100383631713555,
189
+ "eval_xsum-pairs_loss": 0.28410428762435913,
190
+ "eval_xsum-pairs_runtime": 3.1437,
191
+ "eval_xsum-pairs_samples_per_second": 40.717,
192
+ "eval_xsum-pairs_steps_per_second": 0.318,
193
+ "step": 157
194
+ },
195
+ {
196
+ "epoch": 0.100383631713555,
197
+ "eval_sciq_pairs_loss": 0.15557295083999634,
198
+ "eval_sciq_pairs_runtime": 4.4086,
199
+ "eval_sciq_pairs_samples_per_second": 29.034,
200
+ "eval_sciq_pairs_steps_per_second": 0.227,
201
+ "step": 157
202
+ },
203
+ {
204
+ "epoch": 0.100383631713555,
205
+ "eval_qasc_pairs_loss": 0.9191333651542664,
206
+ "eval_qasc_pairs_runtime": 2.1323,
207
+ "eval_qasc_pairs_samples_per_second": 60.03,
208
+ "eval_qasc_pairs_steps_per_second": 0.469,
209
+ "step": 157
210
+ },
211
+ {
212
+ "epoch": 0.100383631713555,
213
+ "eval_openbookqa_pairs_loss": 0.8187942504882812,
214
+ "eval_openbookqa_pairs_runtime": 2.2771,
215
+ "eval_openbookqa_pairs_samples_per_second": 56.213,
216
+ "eval_openbookqa_pairs_steps_per_second": 0.439,
217
+ "step": 157
218
+ },
219
+ {
220
+ "epoch": 0.100383631713555,
221
+ "eval_msmarco_pairs_loss": 0.6015267372131348,
222
+ "eval_msmarco_pairs_runtime": 2.2879,
223
+ "eval_msmarco_pairs_samples_per_second": 55.946,
224
+ "eval_msmarco_pairs_steps_per_second": 0.437,
225
+ "step": 157
226
+ },
227
+ {
228
+ "epoch": 0.100383631713555,
229
+ "eval_nq_pairs_loss": 0.9822638630867004,
230
+ "eval_nq_pairs_runtime": 3.3732,
231
+ "eval_nq_pairs_samples_per_second": 37.946,
232
+ "eval_nq_pairs_steps_per_second": 0.296,
233
+ "step": 157
234
+ },
235
+ {
236
+ "epoch": 0.100383631713555,
237
+ "eval_trivia_pairs_loss": 0.3045535683631897,
238
+ "eval_trivia_pairs_runtime": 3.3462,
239
+ "eval_trivia_pairs_samples_per_second": 38.253,
240
+ "eval_trivia_pairs_steps_per_second": 0.299,
241
+ "step": 157
242
+ },
243
+ {
244
+ "epoch": 0.100383631713555,
245
+ "eval_gooaq_pairs_loss": 0.4534245729446411,
246
+ "eval_gooaq_pairs_runtime": 2.1775,
247
+ "eval_gooaq_pairs_samples_per_second": 58.783,
248
+ "eval_gooaq_pairs_steps_per_second": 0.459,
249
+ "step": 157
250
+ },
251
+ {
252
+ "epoch": 0.100383631713555,
253
+ "eval_paws-pos_loss": 0.03816518932580948,
254
+ "eval_paws-pos_runtime": 2.3035,
255
+ "eval_paws-pos_samples_per_second": 55.567,
256
+ "eval_paws-pos_steps_per_second": 0.434,
257
+ "step": 157
258
+ },
259
+ {
260
+ "epoch": 0.100383631713555,
261
+ "eval_global_dataset_loss": 0.4413764476776123,
262
+ "eval_global_dataset_runtime": 8.8968,
263
+ "eval_global_dataset_samples_per_second": 36.53,
264
+ "eval_global_dataset_steps_per_second": 0.337,
265
+ "step": 157
266
+ },
267
+ {
268
+ "epoch": 0.10230179028132992,
269
+ "grad_norm": 4.65382719039917,
270
+ "learning_rate": 3.2374866879659217e-06,
271
+ "loss": 0.5674,
272
+ "step": 160
273
+ },
274
+ {
275
+ "epoch": 0.11253196930946291,
276
+ "grad_norm": 16.067514419555664,
277
+ "learning_rate": 3.5782747603833866e-06,
278
+ "loss": 0.6077,
279
+ "step": 176
280
+ },
281
+ {
282
+ "epoch": 0.12276214833759591,
283
+ "grad_norm": 13.119791984558105,
284
+ "learning_rate": 3.919062832800852e-06,
285
+ "loss": 0.4102,
286
+ "step": 192
287
+ },
288
+ {
289
+ "epoch": 0.1329923273657289,
290
+ "grad_norm": 27.51828384399414,
291
+ "learning_rate": 4.259850905218318e-06,
292
+ "loss": 0.4442,
293
+ "step": 208
294
+ },
295
+ {
296
+ "epoch": 0.1432225063938619,
297
+ "grad_norm": 76.78152465820312,
298
+ "learning_rate": 4.600638977635783e-06,
299
+ "loss": 0.3306,
300
+ "step": 224
301
+ },
302
+ {
303
+ "epoch": 0.1534526854219949,
304
+ "grad_norm": 9.617141723632812,
305
+ "learning_rate": 4.941427050053248e-06,
306
+ "loss": 0.3002,
307
+ "step": 240
308
+ },
309
+ {
310
+ "epoch": 0.1636828644501279,
311
+ "grad_norm": 0.007532110437750816,
312
+ "learning_rate": 5.2822151224707144e-06,
313
+ "loss": 0.2485,
314
+ "step": 256
315
+ },
316
+ {
317
+ "epoch": 0.17391304347826086,
318
+ "grad_norm": 9.366889953613281,
319
+ "learning_rate": 5.623003194888179e-06,
320
+ "loss": 0.274,
321
+ "step": 272
322
+ },
323
+ {
324
+ "epoch": 0.18414322250639387,
325
+ "grad_norm": 2.958397626876831,
326
+ "learning_rate": 5.963791267305645e-06,
327
+ "loss": 0.2093,
328
+ "step": 288
329
+ },
330
+ {
331
+ "epoch": 0.19437340153452684,
332
+ "grad_norm": 0.2244662344455719,
333
+ "learning_rate": 6.304579339723111e-06,
334
+ "loss": 0.3521,
335
+ "step": 304
336
+ },
337
+ {
338
+ "epoch": 0.20076726342711,
339
+ "eval_Qnli-dev_cosine_accuracy": 0.6796875,
340
+ "eval_Qnli-dev_cosine_accuracy_threshold": 0.750099241733551,
341
+ "eval_Qnli-dev_cosine_ap": 0.7156359777017246,
342
+ "eval_Qnli-dev_cosine_f1": 0.6803418803418803,
343
+ "eval_Qnli-dev_cosine_f1_threshold": 0.6485489010810852,
344
+ "eval_Qnli-dev_cosine_precision": 0.5702005730659025,
345
+ "eval_Qnli-dev_cosine_recall": 0.8432203389830508,
346
+ "eval_Qnli-dev_dot_accuracy": 0.681640625,
347
+ "eval_Qnli-dev_dot_accuracy_threshold": 724.4273681640625,
348
+ "eval_Qnli-dev_dot_ap": 0.7008881822413993,
349
+ "eval_Qnli-dev_dot_f1": 0.6768189509306259,
350
+ "eval_Qnli-dev_dot_f1_threshold": 601.5821533203125,
351
+ "eval_Qnli-dev_dot_precision": 0.5633802816901409,
352
+ "eval_Qnli-dev_dot_recall": 0.847457627118644,
353
+ "eval_Qnli-dev_euclidean_accuracy": 0.6796875,
354
+ "eval_Qnli-dev_euclidean_accuracy_threshold": 21.8489990234375,
355
+ "eval_Qnli-dev_euclidean_ap": 0.7160572797142014,
356
+ "eval_Qnli-dev_euclidean_f1": 0.6843033509700176,
357
+ "eval_Qnli-dev_euclidean_f1_threshold": 25.212352752685547,
358
+ "eval_Qnli-dev_euclidean_precision": 0.5861027190332326,
359
+ "eval_Qnli-dev_euclidean_recall": 0.8220338983050848,
360
+ "eval_Qnli-dev_manhattan_accuracy": 0.6796875,
361
+ "eval_Qnli-dev_manhattan_accuracy_threshold": 667.1034545898438,
362
+ "eval_Qnli-dev_manhattan_ap": 0.7161884702166013,
363
+ "eval_Qnli-dev_manhattan_f1": 0.6877192982456141,
364
+ "eval_Qnli-dev_manhattan_f1_threshold": 791.084716796875,
365
+ "eval_Qnli-dev_manhattan_precision": 0.5868263473053892,
366
+ "eval_Qnli-dev_manhattan_recall": 0.8305084745762712,
367
+ "eval_Qnli-dev_max_accuracy": 0.681640625,
368
+ "eval_Qnli-dev_max_accuracy_threshold": 724.4273681640625,
369
+ "eval_Qnli-dev_max_ap": 0.7161884702166013,
370
+ "eval_Qnli-dev_max_f1": 0.6877192982456141,
371
+ "eval_Qnli-dev_max_f1_threshold": 791.084716796875,
372
+ "eval_Qnli-dev_max_precision": 0.5868263473053892,
373
+ "eval_Qnli-dev_max_recall": 0.847457627118644,
374
+ "eval_allNLI-dev_cosine_accuracy": 0.71875,
375
+ "eval_allNLI-dev_cosine_accuracy_threshold": 0.834626317024231,
376
+ "eval_allNLI-dev_cosine_ap": 0.5835584554560046,
377
+ "eval_allNLI-dev_cosine_f1": 0.6094808126410836,
378
+ "eval_allNLI-dev_cosine_f1_threshold": 0.6867948174476624,
379
+ "eval_allNLI-dev_cosine_precision": 0.5,
380
+ "eval_allNLI-dev_cosine_recall": 0.7803468208092486,
381
+ "eval_allNLI-dev_dot_accuracy": 0.716796875,
382
+ "eval_allNLI-dev_dot_accuracy_threshold": 792.005615234375,
383
+ "eval_allNLI-dev_dot_ap": 0.5699574122566177,
384
+ "eval_allNLI-dev_dot_f1": 0.6130434782608695,
385
+ "eval_allNLI-dev_dot_f1_threshold": 633.9556274414062,
386
+ "eval_allNLI-dev_dot_precision": 0.4912891986062718,
387
+ "eval_allNLI-dev_dot_recall": 0.815028901734104,
388
+ "eval_allNLI-dev_euclidean_accuracy": 0.716796875,
389
+ "eval_allNLI-dev_euclidean_accuracy_threshold": 17.933330535888672,
390
+ "eval_allNLI-dev_euclidean_ap": 0.583705987979273,
391
+ "eval_allNLI-dev_euclidean_f1": 0.602510460251046,
392
+ "eval_allNLI-dev_euclidean_f1_threshold": 25.284334182739258,
393
+ "eval_allNLI-dev_euclidean_precision": 0.4721311475409836,
394
+ "eval_allNLI-dev_euclidean_recall": 0.8323699421965318,
395
+ "eval_allNLI-dev_manhattan_accuracy": 0.720703125,
396
+ "eval_allNLI-dev_manhattan_accuracy_threshold": 559.5651245117188,
397
+ "eval_allNLI-dev_manhattan_ap": 0.5843640673658059,
398
+ "eval_allNLI-dev_manhattan_f1": 0.6072186836518046,
399
+ "eval_allNLI-dev_manhattan_f1_threshold": 784.5065307617188,
400
+ "eval_allNLI-dev_manhattan_precision": 0.4798657718120805,
401
+ "eval_allNLI-dev_manhattan_recall": 0.8265895953757225,
402
+ "eval_allNLI-dev_max_accuracy": 0.720703125,
403
+ "eval_allNLI-dev_max_accuracy_threshold": 792.005615234375,
404
+ "eval_allNLI-dev_max_ap": 0.5843640673658059,
405
+ "eval_allNLI-dev_max_f1": 0.6130434782608695,
406
+ "eval_allNLI-dev_max_f1_threshold": 784.5065307617188,
407
+ "eval_allNLI-dev_max_precision": 0.5,
408
+ "eval_allNLI-dev_max_recall": 0.8323699421965318,
409
+ "eval_sequential_score": 0.7161884702166013,
410
+ "eval_sts-test_pearson_cosine": 0.9083914036604525,
411
+ "eval_sts-test_pearson_dot": 0.8981723163151856,
412
+ "eval_sts-test_pearson_euclidean": 0.9173432574357514,
413
+ "eval_sts-test_pearson_manhattan": 0.9168751297887556,
414
+ "eval_sts-test_pearson_max": 0.9173432574357514,
415
+ "eval_sts-test_spearman_cosine": 0.9121196279131069,
416
+ "eval_sts-test_spearman_dot": 0.894677286770672,
417
+ "eval_sts-test_spearman_euclidean": 0.9124939274633844,
418
+ "eval_sts-test_spearman_manhattan": 0.9125480317384066,
419
+ "eval_sts-test_spearman_max": 0.9125480317384066,
420
+ "eval_vitaminc-pairs_loss": 3.233806610107422,
421
+ "eval_vitaminc-pairs_runtime": 4.507,
422
+ "eval_vitaminc-pairs_samples_per_second": 28.401,
423
+ "eval_vitaminc-pairs_steps_per_second": 0.222,
424
+ "step": 314
425
+ },
426
+ {
427
+ "epoch": 0.20076726342711,
428
+ "eval_negation-triplets_loss": 0.7851067781448364,
429
+ "eval_negation-triplets_runtime": 3.158,
430
+ "eval_negation-triplets_samples_per_second": 40.532,
431
+ "eval_negation-triplets_steps_per_second": 0.317,
432
+ "step": 314
433
+ },
434
+ {
435
+ "epoch": 0.20076726342711,
436
+ "eval_scitail-pairs-pos_loss": 0.021762849763035774,
437
+ "eval_scitail-pairs-pos_runtime": 2.6751,
438
+ "eval_scitail-pairs-pos_samples_per_second": 47.849,
439
+ "eval_scitail-pairs-pos_steps_per_second": 0.374,
440
+ "step": 314
441
+ },
442
+ {
443
+ "epoch": 0.20076726342711,
444
+ "eval_scitail-pairs-qa_loss": 0.010233570821583271,
445
+ "eval_scitail-pairs-qa_runtime": 2.2385,
446
+ "eval_scitail-pairs-qa_samples_per_second": 57.181,
447
+ "eval_scitail-pairs-qa_steps_per_second": 0.447,
448
+ "step": 314
449
+ },
450
+ {
451
+ "epoch": 0.20076726342711,
452
+ "eval_xsum-pairs_loss": 0.07829513400793076,
453
+ "eval_xsum-pairs_runtime": 3.1055,
454
+ "eval_xsum-pairs_samples_per_second": 41.217,
455
+ "eval_xsum-pairs_steps_per_second": 0.322,
456
+ "step": 314
457
+ },
458
+ {
459
+ "epoch": 0.20076726342711,
460
+ "eval_sciq_pairs_loss": 0.06304117292165756,
461
+ "eval_sciq_pairs_runtime": 4.3422,
462
+ "eval_sciq_pairs_samples_per_second": 29.478,
463
+ "eval_sciq_pairs_steps_per_second": 0.23,
464
+ "step": 314
465
+ },
466
+ {
467
+ "epoch": 0.20076726342711,
468
+ "eval_qasc_pairs_loss": 0.11734917759895325,
469
+ "eval_qasc_pairs_runtime": 2.1055,
470
+ "eval_qasc_pairs_samples_per_second": 60.793,
471
+ "eval_qasc_pairs_steps_per_second": 0.475,
472
+ "step": 314
473
+ },
474
+ {
475
+ "epoch": 0.20076726342711,
476
+ "eval_openbookqa_pairs_loss": 0.45362916588783264,
477
+ "eval_openbookqa_pairs_runtime": 2.2519,
478
+ "eval_openbookqa_pairs_samples_per_second": 56.84,
479
+ "eval_openbookqa_pairs_steps_per_second": 0.444,
480
+ "step": 314
481
+ },
482
+ {
483
+ "epoch": 0.20076726342711,
484
+ "eval_msmarco_pairs_loss": 0.1522417515516281,
485
+ "eval_msmarco_pairs_runtime": 2.2506,
486
+ "eval_msmarco_pairs_samples_per_second": 56.874,
487
+ "eval_msmarco_pairs_steps_per_second": 0.444,
488
+ "step": 314
489
+ },
490
+ {
491
+ "epoch": 0.20076726342711,
492
+ "eval_nq_pairs_loss": 0.18318293988704681,
493
+ "eval_nq_pairs_runtime": 3.3369,
494
+ "eval_nq_pairs_samples_per_second": 38.359,
495
+ "eval_nq_pairs_steps_per_second": 0.3,
496
+ "step": 314
497
+ },
498
+ {
499
+ "epoch": 0.20076726342711,
500
+ "eval_trivia_pairs_loss": 0.13312742114067078,
501
+ "eval_trivia_pairs_runtime": 3.3622,
502
+ "eval_trivia_pairs_samples_per_second": 38.07,
503
+ "eval_trivia_pairs_steps_per_second": 0.297,
504
+ "step": 314
505
+ },
506
+ {
507
+ "epoch": 0.20076726342711,
508
+ "eval_gooaq_pairs_loss": 0.13270226120948792,
509
+ "eval_gooaq_pairs_runtime": 2.2422,
510
+ "eval_gooaq_pairs_samples_per_second": 57.086,
511
+ "eval_gooaq_pairs_steps_per_second": 0.446,
512
+ "step": 314
513
+ },
514
+ {
515
+ "epoch": 0.20076726342711,
516
+ "eval_paws-pos_loss": 0.02471838891506195,
517
+ "eval_paws-pos_runtime": 2.3061,
518
+ "eval_paws-pos_samples_per_second": 55.506,
519
+ "eval_paws-pos_steps_per_second": 0.434,
520
+ "step": 314
521
+ },
522
+ {
523
+ "epoch": 0.20076726342711,
524
+ "eval_global_dataset_loss": 0.23317644000053406,
525
+ "eval_global_dataset_runtime": 8.8835,
526
+ "eval_global_dataset_samples_per_second": 36.585,
527
+ "eval_global_dataset_steps_per_second": 0.338,
528
+ "step": 314
529
+ },
530
+ {
531
+ "epoch": 0.20460358056265984,
532
+ "grad_norm": 14.963007926940918,
533
+ "learning_rate": 6.645367412140575e-06,
534
+ "loss": 0.2628,
535
+ "step": 320
536
+ },
537
+ {
538
+ "epoch": 0.21483375959079284,
539
+ "grad_norm": 33.163265228271484,
540
+ "learning_rate": 6.986155484558041e-06,
541
+ "loss": 0.2167,
542
+ "step": 336
543
+ },
544
+ {
545
+ "epoch": 0.22506393861892582,
546
+ "grad_norm": 239.8547821044922,
547
+ "learning_rate": 7.326943556975507e-06,
548
+ "loss": 0.1816,
549
+ "step": 352
550
+ },
551
+ {
552
+ "epoch": 0.23529411764705882,
553
+ "grad_norm": 6.623231410980225,
554
+ "learning_rate": 7.667731629392972e-06,
555
+ "loss": 0.1327,
556
+ "step": 368
557
+ },
558
+ {
559
+ "epoch": 0.24552429667519182,
560
+ "grad_norm": 9.30941390991211,
561
+ "learning_rate": 8.008519701810438e-06,
562
+ "loss": 0.2178,
563
+ "step": 384
564
+ },
565
+ {
566
+ "epoch": 0.2557544757033248,
567
+ "grad_norm": 4.750399112701416,
568
+ "learning_rate": 8.32800851970181e-06,
569
+ "loss": 0.0993,
570
+ "step": 400
571
+ },
572
+ {
573
+ "epoch": 0.2659846547314578,
574
+ "grad_norm": 6.0740461349487305,
575
+ "learning_rate": 8.668796592119276e-06,
576
+ "loss": 0.2293,
577
+ "step": 416
578
+ },
579
+ {
580
+ "epoch": 0.27621483375959077,
581
+ "grad_norm": 39.3314323425293,
582
+ "learning_rate": 9.009584664536743e-06,
583
+ "loss": 0.4346,
584
+ "step": 432
585
+ },
586
+ {
587
+ "epoch": 0.2864450127877238,
588
+ "grad_norm": 1288.867431640625,
589
+ "learning_rate": 9.329073482428116e-06,
590
+ "loss": 1.0288,
591
+ "step": 448
592
+ },
593
+ {
594
+ "epoch": 0.2966751918158568,
595
+ "grad_norm": 9.365520477294922,
596
+ "learning_rate": 9.64856230031949e-06,
597
+ "loss": 0.4893,
598
+ "step": 464
599
+ },
600
+ {
601
+ "epoch": 0.30115089514066495,
602
+ "eval_Qnli-dev_cosine_accuracy": 0.69921875,
603
+ "eval_Qnli-dev_cosine_accuracy_threshold": 0.7410688400268555,
604
+ "eval_Qnli-dev_cosine_ap": 0.7331344916543854,
605
+ "eval_Qnli-dev_cosine_f1": 0.6888111888111887,
606
+ "eval_Qnli-dev_cosine_f1_threshold": 0.6412021517753601,
607
+ "eval_Qnli-dev_cosine_precision": 0.5863095238095238,
608
+ "eval_Qnli-dev_cosine_recall": 0.8347457627118644,
609
+ "eval_Qnli-dev_dot_accuracy": 0.69140625,
610
+ "eval_Qnli-dev_dot_accuracy_threshold": 673.3492431640625,
611
+ "eval_Qnli-dev_dot_ap": 0.702049578471496,
612
+ "eval_Qnli-dev_dot_f1": 0.6897810218978102,
613
+ "eval_Qnli-dev_dot_f1_threshold": 611.4298706054688,
614
+ "eval_Qnli-dev_dot_precision": 0.6057692307692307,
615
+ "eval_Qnli-dev_dot_recall": 0.8008474576271186,
616
+ "eval_Qnli-dev_euclidean_accuracy": 0.697265625,
617
+ "eval_Qnli-dev_euclidean_accuracy_threshold": 22.84914207458496,
618
+ "eval_Qnli-dev_euclidean_ap": 0.7357836494194735,
619
+ "eval_Qnli-dev_euclidean_f1": 0.6843177189409368,
620
+ "eval_Qnli-dev_euclidean_f1_threshold": 23.908557891845703,
621
+ "eval_Qnli-dev_euclidean_precision": 0.6588235294117647,
622
+ "eval_Qnli-dev_euclidean_recall": 0.711864406779661,
623
+ "eval_Qnli-dev_manhattan_accuracy": 0.69921875,
624
+ "eval_Qnli-dev_manhattan_accuracy_threshold": 712.7897338867188,
625
+ "eval_Qnli-dev_manhattan_ap": 0.736884863348749,
626
+ "eval_Qnli-dev_manhattan_f1": 0.6865079365079366,
627
+ "eval_Qnli-dev_manhattan_f1_threshold": 753.1321411132812,
628
+ "eval_Qnli-dev_manhattan_precision": 0.6455223880597015,
629
+ "eval_Qnli-dev_manhattan_recall": 0.7330508474576272,
630
+ "eval_Qnli-dev_max_accuracy": 0.69921875,
631
+ "eval_Qnli-dev_max_accuracy_threshold": 712.7897338867188,
632
+ "eval_Qnli-dev_max_ap": 0.736884863348749,
633
+ "eval_Qnli-dev_max_f1": 0.6897810218978102,
634
+ "eval_Qnli-dev_max_f1_threshold": 753.1321411132812,
635
+ "eval_Qnli-dev_max_precision": 0.6588235294117647,
636
+ "eval_Qnli-dev_max_recall": 0.8347457627118644,
637
+ "eval_allNLI-dev_cosine_accuracy": 0.716796875,
638
+ "eval_allNLI-dev_cosine_accuracy_threshold": 0.835934042930603,
639
+ "eval_allNLI-dev_cosine_ap": 0.5816321594253542,
640
+ "eval_allNLI-dev_cosine_f1": 0.6029106029106028,
641
+ "eval_allNLI-dev_cosine_f1_threshold": 0.6776033043861389,
642
+ "eval_allNLI-dev_cosine_precision": 0.4707792207792208,
643
+ "eval_allNLI-dev_cosine_recall": 0.838150289017341,
644
+ "eval_allNLI-dev_dot_accuracy": 0.703125,
645
+ "eval_allNLI-dev_dot_accuracy_threshold": 810.56591796875,
646
+ "eval_allNLI-dev_dot_ap": 0.5677886575854101,
647
+ "eval_allNLI-dev_dot_f1": 0.6004228329809725,
648
+ "eval_allNLI-dev_dot_f1_threshold": 647.8101806640625,
649
+ "eval_allNLI-dev_dot_precision": 0.47333333333333333,
650
+ "eval_allNLI-dev_dot_recall": 0.8208092485549133,
651
+ "eval_allNLI-dev_euclidean_accuracy": 0.71875,
652
+ "eval_allNLI-dev_euclidean_accuracy_threshold": 17.530292510986328,
653
+ "eval_allNLI-dev_euclidean_ap": 0.5790276724859877,
654
+ "eval_allNLI-dev_euclidean_f1": 0.6070686070686071,
655
+ "eval_allNLI-dev_euclidean_f1_threshold": 24.67755126953125,
656
+ "eval_allNLI-dev_euclidean_precision": 0.474025974025974,
657
+ "eval_allNLI-dev_euclidean_recall": 0.8439306358381503,
658
+ "eval_allNLI-dev_manhattan_accuracy": 0.71875,
659
+ "eval_allNLI-dev_manhattan_accuracy_threshold": 547.3074951171875,
660
+ "eval_allNLI-dev_manhattan_ap": 0.5803704124451106,
661
+ "eval_allNLI-dev_manhattan_f1": 0.6008583690987125,
662
+ "eval_allNLI-dev_manhattan_f1_threshold": 760.1802368164062,
663
+ "eval_allNLI-dev_manhattan_precision": 0.4778156996587031,
664
+ "eval_allNLI-dev_manhattan_recall": 0.8092485549132948,
665
+ "eval_allNLI-dev_max_accuracy": 0.71875,
666
+ "eval_allNLI-dev_max_accuracy_threshold": 810.56591796875,
667
+ "eval_allNLI-dev_max_ap": 0.5816321594253542,
668
+ "eval_allNLI-dev_max_f1": 0.6070686070686071,
669
+ "eval_allNLI-dev_max_f1_threshold": 760.1802368164062,
670
+ "eval_allNLI-dev_max_precision": 0.4778156996587031,
671
+ "eval_allNLI-dev_max_recall": 0.8439306358381503,
672
+ "eval_sequential_score": 0.736884863348749,
673
+ "eval_sts-test_pearson_cosine": 0.9094229035285761,
674
+ "eval_sts-test_pearson_dot": 0.8982590057670237,
675
+ "eval_sts-test_pearson_euclidean": 0.9199260651959468,
676
+ "eval_sts-test_pearson_manhattan": 0.9194219727619668,
677
+ "eval_sts-test_pearson_max": 0.9199260651959468,
678
+ "eval_sts-test_spearman_cosine": 0.9158958736030971,
679
+ "eval_sts-test_spearman_dot": 0.8963403778977608,
680
+ "eval_sts-test_spearman_euclidean": 0.9158618178931783,
681
+ "eval_sts-test_spearman_manhattan": 0.9156180577723795,
682
+ "eval_sts-test_spearman_max": 0.9158958736030971,
683
+ "eval_vitaminc-pairs_loss": 3.671621084213257,
684
+ "eval_vitaminc-pairs_runtime": 4.6059,
685
+ "eval_vitaminc-pairs_samples_per_second": 27.791,
686
+ "eval_vitaminc-pairs_steps_per_second": 0.217,
687
+ "step": 471
688
+ },
689
+ {
690
+ "epoch": 0.30115089514066495,
691
+ "eval_negation-triplets_loss": 0.6801220774650574,
692
+ "eval_negation-triplets_runtime": 3.2119,
693
+ "eval_negation-triplets_samples_per_second": 39.852,
694
+ "eval_negation-triplets_steps_per_second": 0.311,
695
+ "step": 471
696
+ },
697
+ {
698
+ "epoch": 0.30115089514066495,
699
+ "eval_scitail-pairs-pos_loss": 0.01225399598479271,
700
+ "eval_scitail-pairs-pos_runtime": 2.7794,
701
+ "eval_scitail-pairs-pos_samples_per_second": 46.052,
702
+ "eval_scitail-pairs-pos_steps_per_second": 0.36,
703
+ "step": 471
704
+ },
705
+ {
706
+ "epoch": 0.30115089514066495,
707
+ "eval_scitail-pairs-qa_loss": 0.00501797953620553,
708
+ "eval_scitail-pairs-qa_runtime": 2.3318,
709
+ "eval_scitail-pairs-qa_samples_per_second": 54.893,
710
+ "eval_scitail-pairs-qa_steps_per_second": 0.429,
711
+ "step": 471
712
+ },
713
+ {
714
+ "epoch": 0.30115089514066495,
715
+ "eval_xsum-pairs_loss": 0.05804339051246643,
716
+ "eval_xsum-pairs_runtime": 3.1527,
717
+ "eval_xsum-pairs_samples_per_second": 40.6,
718
+ "eval_xsum-pairs_steps_per_second": 0.317,
719
+ "step": 471
720
+ },
721
+ {
722
+ "epoch": 0.30115089514066495,
723
+ "eval_sciq_pairs_loss": 0.04724589362740517,
724
+ "eval_sciq_pairs_runtime": 4.3481,
725
+ "eval_sciq_pairs_samples_per_second": 29.438,
726
+ "eval_sciq_pairs_steps_per_second": 0.23,
727
+ "step": 471
728
+ },
729
+ {
730
+ "epoch": 0.30115089514066495,
731
+ "eval_qasc_pairs_loss": 0.04424997419118881,
732
+ "eval_qasc_pairs_runtime": 2.1476,
733
+ "eval_qasc_pairs_samples_per_second": 59.6,
734
+ "eval_qasc_pairs_steps_per_second": 0.466,
735
+ "step": 471
736
+ },
737
+ {
738
+ "epoch": 0.30115089514066495,
739
+ "eval_openbookqa_pairs_loss": 0.46001699566841125,
740
+ "eval_openbookqa_pairs_runtime": 2.3534,
741
+ "eval_openbookqa_pairs_samples_per_second": 54.389,
742
+ "eval_openbookqa_pairs_steps_per_second": 0.425,
743
+ "step": 471
744
+ },
745
+ {
746
+ "epoch": 0.30115089514066495,
747
+ "eval_msmarco_pairs_loss": 0.22556719183921814,
748
+ "eval_msmarco_pairs_runtime": 2.2946,
749
+ "eval_msmarco_pairs_samples_per_second": 55.782,
750
+ "eval_msmarco_pairs_steps_per_second": 0.436,
751
+ "step": 471
752
+ },
753
+ {
754
+ "epoch": 0.30115089514066495,
755
+ "eval_nq_pairs_loss": 0.13123252987861633,
756
+ "eval_nq_pairs_runtime": 3.3642,
757
+ "eval_nq_pairs_samples_per_second": 38.048,
758
+ "eval_nq_pairs_steps_per_second": 0.297,
759
+ "step": 471
760
+ },
761
+ {
762
+ "epoch": 0.30115089514066495,
763
+ "eval_trivia_pairs_loss": 0.11183707416057587,
764
+ "eval_trivia_pairs_runtime": 3.3501,
765
+ "eval_trivia_pairs_samples_per_second": 38.208,
766
+ "eval_trivia_pairs_steps_per_second": 0.299,
767
+ "step": 471
768
+ },
769
+ {
770
+ "epoch": 0.30115089514066495,
771
+ "eval_gooaq_pairs_loss": 0.17444811761379242,
772
+ "eval_gooaq_pairs_runtime": 2.2434,
773
+ "eval_gooaq_pairs_samples_per_second": 57.056,
774
+ "eval_gooaq_pairs_steps_per_second": 0.446,
775
+ "step": 471
776
+ },
777
+ {
778
+ "epoch": 0.30115089514066495,
779
+ "eval_paws-pos_loss": 0.02457336150109768,
780
+ "eval_paws-pos_runtime": 2.3035,
781
+ "eval_paws-pos_samples_per_second": 55.567,
782
+ "eval_paws-pos_steps_per_second": 0.434,
783
+ "step": 471
784
+ },
785
+ {
786
+ "epoch": 0.30115089514066495,
787
+ "eval_global_dataset_loss": 0.259395956993103,
788
+ "eval_global_dataset_runtime": 8.8545,
789
+ "eval_global_dataset_samples_per_second": 36.704,
790
+ "eval_global_dataset_steps_per_second": 0.339,
791
+ "step": 471
792
+ },
793
+ {
794
+ "epoch": 0.3069053708439898,
795
+ "grad_norm": 0.012338381260633469,
796
+ "learning_rate": 9.989350372736955e-06,
797
+ "loss": 0.1706,
798
+ "step": 480
799
+ },
800
+ {
801
+ "epoch": 0.3171355498721228,
802
+ "grad_norm": 2.509495973587036,
803
+ "learning_rate": 1.033013844515442e-05,
804
+ "loss": 0.1083,
805
+ "step": 496
806
+ },
807
+ {
808
+ "epoch": 0.3273657289002558,
809
+ "grad_norm": 58.62932586669922,
810
+ "learning_rate": 1.0670926517571887e-05,
811
+ "loss": 0.1036,
812
+ "step": 512
813
+ },
814
+ {
815
+ "epoch": 0.3375959079283887,
816
+ "grad_norm": 57.70167922973633,
817
+ "learning_rate": 1.101171458998935e-05,
818
+ "loss": 0.4057,
819
+ "step": 528
820
+ },
821
+ {
822
+ "epoch": 0.34782608695652173,
823
+ "grad_norm": 5.249549388885498,
824
+ "learning_rate": 1.1352502662406816e-05,
825
+ "loss": 0.1629,
826
+ "step": 544
827
+ },
828
+ {
829
+ "epoch": 0.35805626598465473,
830
+ "grad_norm": 744.4637451171875,
831
+ "learning_rate": 1.1693290734824283e-05,
832
+ "loss": 0.6291,
833
+ "step": 560
834
+ },
835
+ {
836
+ "epoch": 0.36828644501278773,
837
+ "grad_norm": 3727.07373046875,
838
+ "learning_rate": 1.2012779552715656e-05,
839
+ "loss": 0.7985,
840
+ "step": 576
841
+ },
842
+ {
843
+ "epoch": 0.37851662404092073,
844
+ "grad_norm": 1.6333959102630615,
845
+ "learning_rate": 1.233226837060703e-05,
846
+ "loss": 0.3209,
847
+ "step": 592
848
+ },
849
+ {
850
+ "epoch": 0.3887468030690537,
851
+ "grad_norm": 71.8410873413086,
852
+ "learning_rate": 1.2651757188498404e-05,
853
+ "loss": 0.2933,
854
+ "step": 608
855
+ },
856
+ {
857
+ "epoch": 0.3989769820971867,
858
+ "grad_norm": 15.115602493286133,
859
+ "learning_rate": 1.299254526091587e-05,
860
+ "loss": 0.1887,
861
+ "step": 624
862
+ },
863
+ {
864
+ "epoch": 0.40153452685422,
865
+ "eval_Qnli-dev_cosine_accuracy": 0.6796875,
866
+ "eval_Qnli-dev_cosine_accuracy_threshold": 0.7387017011642456,
867
+ "eval_Qnli-dev_cosine_ap": 0.7232227658329593,
868
+ "eval_Qnli-dev_cosine_f1": 0.6812816188870151,
869
+ "eval_Qnli-dev_cosine_f1_threshold": 0.5850255489349365,
870
+ "eval_Qnli-dev_cosine_precision": 0.5658263305322129,
871
+ "eval_Qnli-dev_cosine_recall": 0.8559322033898306,
872
+ "eval_Qnli-dev_dot_accuracy": 0.6796875,
873
+ "eval_Qnli-dev_dot_accuracy_threshold": 610.0311279296875,
874
+ "eval_Qnli-dev_dot_ap": 0.7080904391300955,
875
+ "eval_Qnli-dev_dot_f1": 0.6843853820598007,
876
+ "eval_Qnli-dev_dot_f1_threshold": 513.2543334960938,
877
+ "eval_Qnli-dev_dot_precision": 0.5628415300546448,
878
+ "eval_Qnli-dev_dot_recall": 0.8728813559322034,
879
+ "eval_Qnli-dev_euclidean_accuracy": 0.68359375,
880
+ "eval_Qnli-dev_euclidean_accuracy_threshold": 22.151939392089844,
881
+ "eval_Qnli-dev_euclidean_ap": 0.7234064908940119,
882
+ "eval_Qnli-dev_euclidean_f1": 0.6771653543307087,
883
+ "eval_Qnli-dev_euclidean_f1_threshold": 28.56058692932129,
884
+ "eval_Qnli-dev_euclidean_precision": 0.5388471177944862,
885
+ "eval_Qnli-dev_euclidean_recall": 0.9110169491525424,
886
+ "eval_Qnli-dev_manhattan_accuracy": 0.68359375,
887
+ "eval_Qnli-dev_manhattan_accuracy_threshold": 695.5964965820312,
888
+ "eval_Qnli-dev_manhattan_ap": 0.7224600475409794,
889
+ "eval_Qnli-dev_manhattan_f1": 0.679245283018868,
890
+ "eval_Qnli-dev_manhattan_f1_threshold": 890.5444946289062,
891
+ "eval_Qnli-dev_manhattan_precision": 0.54,
892
+ "eval_Qnli-dev_manhattan_recall": 0.9152542372881356,
893
+ "eval_Qnli-dev_max_accuracy": 0.68359375,
894
+ "eval_Qnli-dev_max_accuracy_threshold": 695.5964965820312,
895
+ "eval_Qnli-dev_max_ap": 0.7234064908940119,
896
+ "eval_Qnli-dev_max_f1": 0.6843853820598007,
897
+ "eval_Qnli-dev_max_f1_threshold": 890.5444946289062,
898
+ "eval_Qnli-dev_max_precision": 0.5658263305322129,
899
+ "eval_Qnli-dev_max_recall": 0.9152542372881356,
900
+ "eval_allNLI-dev_cosine_accuracy": 0.71484375,
901
+ "eval_allNLI-dev_cosine_accuracy_threshold": 0.8244803547859192,
902
+ "eval_allNLI-dev_cosine_ap": 0.5598399809421326,
903
+ "eval_allNLI-dev_cosine_f1": 0.6026785714285714,
904
+ "eval_allNLI-dev_cosine_f1_threshold": 0.6709309816360474,
905
+ "eval_allNLI-dev_cosine_precision": 0.4909090909090909,
906
+ "eval_allNLI-dev_cosine_recall": 0.7803468208092486,
907
+ "eval_allNLI-dev_dot_accuracy": 0.7109375,
908
+ "eval_allNLI-dev_dot_accuracy_threshold": 769.110107421875,
909
+ "eval_allNLI-dev_dot_ap": 0.5522830058603818,
910
+ "eval_allNLI-dev_dot_f1": 0.5976470588235294,
911
+ "eval_allNLI-dev_dot_f1_threshold": 639.0211181640625,
912
+ "eval_allNLI-dev_dot_precision": 0.503968253968254,
913
+ "eval_allNLI-dev_dot_recall": 0.7341040462427746,
914
+ "eval_allNLI-dev_euclidean_accuracy": 0.705078125,
915
+ "eval_allNLI-dev_euclidean_accuracy_threshold": 15.881658554077148,
916
+ "eval_allNLI-dev_euclidean_ap": 0.5573704039417041,
917
+ "eval_allNLI-dev_euclidean_f1": 0.589010989010989,
918
+ "eval_allNLI-dev_euclidean_f1_threshold": 24.65237808227539,
919
+ "eval_allNLI-dev_euclidean_precision": 0.475177304964539,
920
+ "eval_allNLI-dev_euclidean_recall": 0.7745664739884393,
921
+ "eval_allNLI-dev_manhattan_accuracy": 0.705078125,
922
+ "eval_allNLI-dev_manhattan_accuracy_threshold": 494.8561706542969,
923
+ "eval_allNLI-dev_manhattan_ap": 0.5596244537722644,
924
+ "eval_allNLI-dev_manhattan_f1": 0.593886462882096,
925
+ "eval_allNLI-dev_manhattan_f1_threshold": 772.1622314453125,
926
+ "eval_allNLI-dev_manhattan_precision": 0.47719298245614034,
927
+ "eval_allNLI-dev_manhattan_recall": 0.7861271676300579,
928
+ "eval_allNLI-dev_max_accuracy": 0.71484375,
929
+ "eval_allNLI-dev_max_accuracy_threshold": 769.110107421875,
930
+ "eval_allNLI-dev_max_ap": 0.5598399809421326,
931
+ "eval_allNLI-dev_max_f1": 0.6026785714285714,
932
+ "eval_allNLI-dev_max_f1_threshold": 772.1622314453125,
933
+ "eval_allNLI-dev_max_precision": 0.503968253968254,
934
+ "eval_allNLI-dev_max_recall": 0.7861271676300579,
935
+ "eval_sequential_score": 0.7234064908940119,
936
+ "eval_sts-test_pearson_cosine": 0.9059824822945504,
937
+ "eval_sts-test_pearson_dot": 0.8934118861402478,
938
+ "eval_sts-test_pearson_euclidean": 0.9143064951884331,
939
+ "eval_sts-test_pearson_manhattan": 0.9138764030584118,
940
+ "eval_sts-test_pearson_max": 0.9143064951884331,
941
+ "eval_sts-test_spearman_cosine": 0.9099404652396526,
942
+ "eval_sts-test_spearman_dot": 0.8907050753070487,
943
+ "eval_sts-test_spearman_euclidean": 0.9102612870325675,
944
+ "eval_sts-test_spearman_manhattan": 0.9097054966996683,
945
+ "eval_sts-test_spearman_max": 0.9102612870325675,
946
+ "eval_vitaminc-pairs_loss": 3.6695005893707275,
947
+ "eval_vitaminc-pairs_runtime": 4.5674,
948
+ "eval_vitaminc-pairs_samples_per_second": 28.025,
949
+ "eval_vitaminc-pairs_steps_per_second": 0.219,
950
+ "step": 628
951
+ },
952
+ {
953
+ "epoch": 0.40153452685422,
954
+ "eval_negation-triplets_loss": 0.8490238189697266,
955
+ "eval_negation-triplets_runtime": 3.2004,
956
+ "eval_negation-triplets_samples_per_second": 39.995,
957
+ "eval_negation-triplets_steps_per_second": 0.312,
958
+ "step": 628
959
+ },
960
+ {
961
+ "epoch": 0.40153452685422,
962
+ "eval_scitail-pairs-pos_loss": 0.017992086708545685,
963
+ "eval_scitail-pairs-pos_runtime": 2.8,
964
+ "eval_scitail-pairs-pos_samples_per_second": 45.714,
965
+ "eval_scitail-pairs-pos_steps_per_second": 0.357,
966
+ "step": 628
967
+ },
968
+ {
969
+ "epoch": 0.40153452685422,
970
+ "eval_scitail-pairs-qa_loss": 0.06842579692602158,
971
+ "eval_scitail-pairs-qa_runtime": 2.2721,
972
+ "eval_scitail-pairs-qa_samples_per_second": 56.337,
973
+ "eval_scitail-pairs-qa_steps_per_second": 0.44,
974
+ "step": 628
975
+ },
976
+ {
977
+ "epoch": 0.40153452685422,
978
+ "eval_xsum-pairs_loss": 1.8987103700637817,
979
+ "eval_xsum-pairs_runtime": 3.1443,
980
+ "eval_xsum-pairs_samples_per_second": 40.709,
981
+ "eval_xsum-pairs_steps_per_second": 0.318,
982
+ "step": 628
983
+ },
984
+ {
985
+ "epoch": 0.40153452685422,
986
+ "eval_sciq_pairs_loss": 0.2226540595293045,
987
+ "eval_sciq_pairs_runtime": 4.4099,
988
+ "eval_sciq_pairs_samples_per_second": 29.025,
989
+ "eval_sciq_pairs_steps_per_second": 0.227,
990
+ "step": 628
991
+ },
992
+ {
993
+ "epoch": 0.40153452685422,
994
+ "eval_qasc_pairs_loss": 0.0974484235048294,
995
+ "eval_qasc_pairs_runtime": 2.1808,
996
+ "eval_qasc_pairs_samples_per_second": 58.693,
997
+ "eval_qasc_pairs_steps_per_second": 0.459,
998
+ "step": 628
999
+ },
1000
+ {
1001
+ "epoch": 0.40153452685422,
1002
+ "eval_openbookqa_pairs_loss": 0.614979088306427,
1003
+ "eval_openbookqa_pairs_runtime": 2.2849,
1004
+ "eval_openbookqa_pairs_samples_per_second": 56.02,
1005
+ "eval_openbookqa_pairs_steps_per_second": 0.438,
1006
+ "step": 628
1007
+ },
1008
+ {
1009
+ "epoch": 0.40153452685422,
1010
+ "eval_msmarco_pairs_loss": 2.7714712619781494,
1011
+ "eval_msmarco_pairs_runtime": 2.2847,
1012
+ "eval_msmarco_pairs_samples_per_second": 56.025,
1013
+ "eval_msmarco_pairs_steps_per_second": 0.438,
1014
+ "step": 628
1015
+ },
1016
+ {
1017
+ "epoch": 0.40153452685422,
1018
+ "eval_nq_pairs_loss": 1.1084551811218262,
1019
+ "eval_nq_pairs_runtime": 3.3615,
1020
+ "eval_nq_pairs_samples_per_second": 38.079,
1021
+ "eval_nq_pairs_steps_per_second": 0.297,
1022
+ "step": 628
1023
+ },
1024
+ {
1025
+ "epoch": 0.40153452685422,
1026
+ "eval_trivia_pairs_loss": 1.0560091733932495,
1027
+ "eval_trivia_pairs_runtime": 3.3645,
1028
+ "eval_trivia_pairs_samples_per_second": 38.044,
1029
+ "eval_trivia_pairs_steps_per_second": 0.297,
1030
+ "step": 628
1031
+ },
1032
+ {
1033
+ "epoch": 0.40153452685422,
1034
+ "eval_gooaq_pairs_loss": 0.7939258813858032,
1035
+ "eval_gooaq_pairs_runtime": 2.197,
1036
+ "eval_gooaq_pairs_samples_per_second": 58.261,
1037
+ "eval_gooaq_pairs_steps_per_second": 0.455,
1038
+ "step": 628
1039
+ },
1040
+ {
1041
+ "epoch": 0.40153452685422,
1042
+ "eval_paws-pos_loss": 0.17634068429470062,
1043
+ "eval_paws-pos_runtime": 2.2907,
1044
+ "eval_paws-pos_samples_per_second": 55.878,
1045
+ "eval_paws-pos_steps_per_second": 0.437,
1046
+ "step": 628
1047
+ },
1048
+ {
1049
+ "epoch": 0.40153452685422,
1050
+ "eval_global_dataset_loss": 0.678693413734436,
1051
+ "eval_global_dataset_runtime": 8.8475,
1052
+ "eval_global_dataset_samples_per_second": 36.733,
1053
+ "eval_global_dataset_steps_per_second": 0.339,
1054
+ "step": 628
1055
+ },
1056
+ {
1057
+ "epoch": 0.4092071611253197,
1058
+ "grad_norm": 440.4800720214844,
1059
+ "learning_rate": 1.3333333333333333e-05,
1060
+ "loss": 1.0156,
1061
+ "step": 640
1062
+ },
1063
+ {
1064
+ "epoch": 0.4194373401534527,
1065
+ "grad_norm": 398.4678955078125,
1066
+ "learning_rate": 1.36741214057508e-05,
1067
+ "loss": 1.3699,
1068
+ "step": 656
1069
+ },
1070
+ {
1071
+ "epoch": 0.4296675191815857,
1072
+ "grad_norm": 4009.26220703125,
1073
+ "learning_rate": 1.3993610223642173e-05,
1074
+ "loss": 3.8892,
1075
+ "step": 672
1076
+ },
1077
+ {
1078
+ "epoch": 0.4398976982097187,
1079
+ "grad_norm": 643.8749389648438,
1080
+ "learning_rate": 1.4334398296059639e-05,
1081
+ "loss": 2.5961,
1082
+ "step": 688
1083
+ },
1084
+ {
1085
+ "epoch": 0.45012787723785164,
1086
+ "grad_norm": 2570.24560546875,
1087
+ "learning_rate": 1.4675186368477104e-05,
1088
+ "loss": 7.094,
1089
+ "step": 704
1090
+ },
1091
+ {
1092
+ "epoch": 0.46035805626598464,
1093
+ "grad_norm": 5654.052734375,
1094
+ "learning_rate": 1.501597444089457e-05,
1095
+ "loss": 2.8695,
1096
+ "step": 720
1097
+ },
1098
+ {
1099
+ "epoch": 0.47058823529411764,
1100
+ "grad_norm": 710.1712646484375,
1101
+ "learning_rate": 1.5356762513312037e-05,
1102
+ "loss": 5.7516,
1103
+ "step": 736
1104
+ },
1105
+ {
1106
+ "epoch": 0.48081841432225064,
1107
+ "grad_norm": 186.94851684570312,
1108
+ "learning_rate": 1.56975505857295e-05,
1109
+ "loss": 1.1622,
1110
+ "step": 752
1111
+ },
1112
+ {
1113
+ "epoch": 0.49104859335038364,
1114
+ "grad_norm": 418.9023742675781,
1115
+ "learning_rate": 1.6038338658146964e-05,
1116
+ "loss": 1.2898,
1117
+ "step": 768
1118
+ },
1119
+ {
1120
+ "epoch": 0.5012787723785166,
1121
+ "grad_norm": 59.84318542480469,
1122
+ "learning_rate": 1.637912673056443e-05,
1123
+ "loss": 0.5779,
1124
+ "step": 784
1125
+ },
1126
+ {
1127
+ "epoch": 0.5019181585677749,
1128
+ "eval_Qnli-dev_cosine_accuracy": 0.701171875,
1129
+ "eval_Qnli-dev_cosine_accuracy_threshold": 0.6924287676811218,
1130
+ "eval_Qnli-dev_cosine_ap": 0.7385336798634711,
1131
+ "eval_Qnli-dev_cosine_f1": 0.6933867735470942,
1132
+ "eval_Qnli-dev_cosine_f1_threshold": 0.6914424300193787,
1133
+ "eval_Qnli-dev_cosine_precision": 0.6577946768060836,
1134
+ "eval_Qnli-dev_cosine_recall": 0.7330508474576272,
1135
+ "eval_Qnli-dev_dot_accuracy": 0.671875,
1136
+ "eval_Qnli-dev_dot_accuracy_threshold": 727.0087890625,
1137
+ "eval_Qnli-dev_dot_ap": 0.6770156987156393,
1138
+ "eval_Qnli-dev_dot_f1": 0.6799999999999999,
1139
+ "eval_Qnli-dev_dot_f1_threshold": 679.4116821289062,
1140
+ "eval_Qnli-dev_dot_precision": 0.5955414012738853,
1141
+ "eval_Qnli-dev_dot_recall": 0.7923728813559322,
1142
+ "eval_Qnli-dev_euclidean_accuracy": 0.701171875,
1143
+ "eval_Qnli-dev_euclidean_accuracy_threshold": 23.944599151611328,
1144
+ "eval_Qnli-dev_euclidean_ap": 0.748116028021377,
1145
+ "eval_Qnli-dev_euclidean_f1": 0.69215291750503,
1146
+ "eval_Qnli-dev_euclidean_f1_threshold": 25.11563491821289,
1147
+ "eval_Qnli-dev_euclidean_precision": 0.6590038314176245,
1148
+ "eval_Qnli-dev_euclidean_recall": 0.7288135593220338,
1149
+ "eval_Qnli-dev_manhattan_accuracy": 0.703125,
1150
+ "eval_Qnli-dev_manhattan_accuracy_threshold": 755.9312744140625,
1151
+ "eval_Qnli-dev_manhattan_ap": 0.7493754470561521,
1152
+ "eval_Qnli-dev_manhattan_f1": 0.6960000000000001,
1153
+ "eval_Qnli-dev_manhattan_f1_threshold": 786.2037353515625,
1154
+ "eval_Qnli-dev_manhattan_precision": 0.6590909090909091,
1155
+ "eval_Qnli-dev_manhattan_recall": 0.7372881355932204,
1156
+ "eval_Qnli-dev_max_accuracy": 0.703125,
1157
+ "eval_Qnli-dev_max_accuracy_threshold": 755.9312744140625,
1158
+ "eval_Qnli-dev_max_ap": 0.7493754470561521,
1159
+ "eval_Qnli-dev_max_f1": 0.6960000000000001,
1160
+ "eval_Qnli-dev_max_f1_threshold": 786.2037353515625,
1161
+ "eval_Qnli-dev_max_precision": 0.6590909090909091,
1162
+ "eval_Qnli-dev_max_recall": 0.7923728813559322,
1163
+ "eval_allNLI-dev_cosine_accuracy": 0.708984375,
1164
+ "eval_allNLI-dev_cosine_accuracy_threshold": 0.8311391472816467,
1165
+ "eval_allNLI-dev_cosine_ap": 0.5827534981088864,
1166
+ "eval_allNLI-dev_cosine_f1": 0.5991379310344827,
1167
+ "eval_allNLI-dev_cosine_f1_threshold": 0.6599106788635254,
1168
+ "eval_allNLI-dev_cosine_precision": 0.47766323024054985,
1169
+ "eval_allNLI-dev_cosine_recall": 0.8034682080924855,
1170
+ "eval_allNLI-dev_dot_accuracy": 0.708984375,
1171
+ "eval_allNLI-dev_dot_accuracy_threshold": 879.6187744140625,
1172
+ "eval_allNLI-dev_dot_ap": 0.5812507953653799,
1173
+ "eval_allNLI-dev_dot_f1": 0.597590361445783,
1174
+ "eval_allNLI-dev_dot_f1_threshold": 726.0135498046875,
1175
+ "eval_allNLI-dev_dot_precision": 0.512396694214876,
1176
+ "eval_allNLI-dev_dot_recall": 0.7167630057803468,
1177
+ "eval_allNLI-dev_euclidean_accuracy": 0.712890625,
1178
+ "eval_allNLI-dev_euclidean_accuracy_threshold": 20.80200958251953,
1179
+ "eval_allNLI-dev_euclidean_ap": 0.5793171372613979,
1180
+ "eval_allNLI-dev_euclidean_f1": 0.5988023952095808,
1181
+ "eval_allNLI-dev_euclidean_f1_threshold": 27.593257904052734,
1182
+ "eval_allNLI-dev_euclidean_precision": 0.4573170731707317,
1183
+ "eval_allNLI-dev_euclidean_recall": 0.8670520231213873,
1184
+ "eval_allNLI-dev_manhattan_accuracy": 0.7109375,
1185
+ "eval_allNLI-dev_manhattan_accuracy_threshold": 592.0584716796875,
1186
+ "eval_allNLI-dev_manhattan_ap": 0.5794717044021251,
1187
+ "eval_allNLI-dev_manhattan_f1": 0.5980198019801979,
1188
+ "eval_allNLI-dev_manhattan_f1_threshold": 856.8595581054688,
1189
+ "eval_allNLI-dev_manhattan_precision": 0.45481927710843373,
1190
+ "eval_allNLI-dev_manhattan_recall": 0.8728323699421965,
1191
+ "eval_allNLI-dev_max_accuracy": 0.712890625,
1192
+ "eval_allNLI-dev_max_accuracy_threshold": 879.6187744140625,
1193
+ "eval_allNLI-dev_max_ap": 0.5827534981088864,
1194
+ "eval_allNLI-dev_max_f1": 0.5991379310344827,
1195
+ "eval_allNLI-dev_max_f1_threshold": 856.8595581054688,
1196
+ "eval_allNLI-dev_max_precision": 0.512396694214876,
1197
+ "eval_allNLI-dev_max_recall": 0.8728323699421965,
1198
+ "eval_sequential_score": 0.7493754470561521,
1199
+ "eval_sts-test_pearson_cosine": 0.9091021775992931,
1200
+ "eval_sts-test_pearson_dot": 0.8832539076390011,
1201
+ "eval_sts-test_pearson_euclidean": 0.9096800553065446,
1202
+ "eval_sts-test_pearson_manhattan": 0.9116788038260619,
1203
+ "eval_sts-test_pearson_max": 0.9116788038260619,
1204
+ "eval_sts-test_spearman_cosine": 0.9058912347278699,
1205
+ "eval_sts-test_spearman_dot": 0.8744089034713706,
1206
+ "eval_sts-test_spearman_euclidean": 0.9063140467728005,
1207
+ "eval_sts-test_spearman_manhattan": 0.9082527161675373,
1208
+ "eval_sts-test_spearman_max": 0.9082527161675373,
1209
+ "eval_vitaminc-pairs_loss": 3.191007614135742,
1210
+ "eval_vitaminc-pairs_runtime": 4.5691,
1211
+ "eval_vitaminc-pairs_samples_per_second": 28.014,
1212
+ "eval_vitaminc-pairs_steps_per_second": 0.219,
1213
+ "step": 785
1214
+ },
1215
+ {
1216
+ "epoch": 0.5019181585677749,
1217
+ "eval_negation-triplets_loss": 0.8027606010437012,
1218
+ "eval_negation-triplets_runtime": 3.1899,
1219
+ "eval_negation-triplets_samples_per_second": 40.127,
1220
+ "eval_negation-triplets_steps_per_second": 0.313,
1221
+ "step": 785
1222
+ },
1223
+ {
1224
+ "epoch": 0.5019181585677749,
1225
+ "eval_scitail-pairs-pos_loss": 0.011304985731840134,
1226
+ "eval_scitail-pairs-pos_runtime": 2.7258,
1227
+ "eval_scitail-pairs-pos_samples_per_second": 46.958,
1228
+ "eval_scitail-pairs-pos_steps_per_second": 0.367,
1229
+ "step": 785
1230
+ },
1231
+ {
1232
+ "epoch": 0.5019181585677749,
1233
+ "eval_scitail-pairs-qa_loss": 0.009512349031865597,
1234
+ "eval_scitail-pairs-qa_runtime": 2.2719,
1235
+ "eval_scitail-pairs-qa_samples_per_second": 56.341,
1236
+ "eval_scitail-pairs-qa_steps_per_second": 0.44,
1237
+ "step": 785
1238
+ },
1239
+ {
1240
+ "epoch": 0.5019181585677749,
1241
+ "eval_xsum-pairs_loss": 0.11288230121135712,
1242
+ "eval_xsum-pairs_runtime": 3.1424,
1243
+ "eval_xsum-pairs_samples_per_second": 40.734,
1244
+ "eval_xsum-pairs_steps_per_second": 0.318,
1245
+ "step": 785
1246
+ },
1247
+ {
1248
+ "epoch": 0.5019181585677749,
1249
+ "eval_sciq_pairs_loss": 0.062423791736364365,
1250
+ "eval_sciq_pairs_runtime": 4.3404,
1251
+ "eval_sciq_pairs_samples_per_second": 29.491,
1252
+ "eval_sciq_pairs_steps_per_second": 0.23,
1253
+ "step": 785
1254
+ },
1255
+ {
1256
+ "epoch": 0.5019181585677749,
1257
+ "eval_qasc_pairs_loss": 0.0833595022559166,
1258
+ "eval_qasc_pairs_runtime": 2.153,
1259
+ "eval_qasc_pairs_samples_per_second": 59.453,
1260
+ "eval_qasc_pairs_steps_per_second": 0.464,
1261
+ "step": 785
1262
+ },
1263
+ {
1264
+ "epoch": 0.5019181585677749,
1265
+ "eval_openbookqa_pairs_loss": 0.47392797470092773,
1266
+ "eval_openbookqa_pairs_runtime": 2.286,
1267
+ "eval_openbookqa_pairs_samples_per_second": 55.994,
1268
+ "eval_openbookqa_pairs_steps_per_second": 0.437,
1269
+ "step": 785
1270
+ },
1271
+ {
1272
+ "epoch": 0.5019181585677749,
1273
+ "eval_msmarco_pairs_loss": 0.1399916559457779,
1274
+ "eval_msmarco_pairs_runtime": 2.3254,
1275
+ "eval_msmarco_pairs_samples_per_second": 55.045,
1276
+ "eval_msmarco_pairs_steps_per_second": 0.43,
1277
+ "step": 785
1278
+ },
1279
+ {
1280
+ "epoch": 0.5019181585677749,
1281
+ "eval_nq_pairs_loss": 0.2359679490327835,
1282
+ "eval_nq_pairs_runtime": 3.3719,
1283
+ "eval_nq_pairs_samples_per_second": 37.961,
1284
+ "eval_nq_pairs_steps_per_second": 0.297,
1285
+ "step": 785
1286
+ },
1287
+ {
1288
+ "epoch": 0.5019181585677749,
1289
+ "eval_trivia_pairs_loss": 0.3237164318561554,
1290
+ "eval_trivia_pairs_runtime": 3.3441,
1291
+ "eval_trivia_pairs_samples_per_second": 38.276,
1292
+ "eval_trivia_pairs_steps_per_second": 0.299,
1293
+ "step": 785
1294
+ },
1295
+ {
1296
+ "epoch": 0.5019181585677749,
1297
+ "eval_gooaq_pairs_loss": 0.2629774510860443,
1298
+ "eval_gooaq_pairs_runtime": 2.1943,
1299
+ "eval_gooaq_pairs_samples_per_second": 58.333,
1300
+ "eval_gooaq_pairs_steps_per_second": 0.456,
1301
+ "step": 785
1302
+ },
1303
+ {
1304
+ "epoch": 0.5019181585677749,
1305
+ "eval_paws-pos_loss": 0.02829882688820362,
1306
+ "eval_paws-pos_runtime": 2.3487,
1307
+ "eval_paws-pos_samples_per_second": 54.497,
1308
+ "eval_paws-pos_steps_per_second": 0.426,
1309
+ "step": 785
1310
+ },
1311
+ {
1312
+ "epoch": 0.5019181585677749,
1313
+ "eval_global_dataset_loss": 0.24213480949401855,
1314
+ "eval_global_dataset_runtime": 8.8463,
1315
+ "eval_global_dataset_samples_per_second": 36.738,
1316
+ "eval_global_dataset_steps_per_second": 0.339,
1317
+ "step": 785
1318
+ }
1319
+ ],
1320
+ "logging_steps": 16,
1321
+ "max_steps": 3128,
1322
+ "num_input_tokens_seen": 0,
1323
+ "num_train_epochs": 2,
1324
+ "save_steps": 157,
1325
+ "stateful_callbacks": {
1326
+ "TrainerControl": {
1327
+ "args": {
1328
+ "should_epoch_stop": false,
1329
+ "should_evaluate": false,
1330
+ "should_log": false,
1331
+ "should_save": true,
1332
+ "should_training_stop": false
1333
+ },
1334
+ "attributes": {}
1335
+ }
1336
+ },
1337
+ "total_flos": 0.0,
1338
+ "train_batch_size": 64,
1339
+ "trial_name": null,
1340
+ "trial_params": null
1341
+ }
checkpoint-785/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d523e4a0d91ff1db0041a8e72663ad04f154bb6b99fc03ec758da489cf961449
3
+ size 5560