bobox commited on
Commit
c599bed
·
verified ·
1 Parent(s): def6fb0

Training in progress, step 256, checkpoint

Browse files
checkpoint-256/1_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-256/README.md ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-256/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
checkpoint-256/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bobox/DeBERTa-small-ST-v1-test",
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": "4.42.3",
33
+ "type_vocab_size": 0,
34
+ "vocab_size": 128100
35
+ }
checkpoint-256/config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.0.1",
4
+ "transformers": "4.42.3",
5
+ "pytorch": "2.1.2"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
checkpoint-256/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-256/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:834fe5b897193f42cefd16b02016d4e8de603f8524a68f05724c2708f8f2c3ae
3
+ size 1130520122
checkpoint-256/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7cf20d250eba8880b4d8c48f13e362fc9ff74b0d1f055b2882da485e7ee31624
3
+ size 565251810
checkpoint-256/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0df7f5c66d7ba57e794f57af2e385e920041a340531203e1232197d1c5253a5b
3
+ size 14244
checkpoint-256/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85f2d383761c230b38964c22e9f0c34fab7bbae40088d6160f5cabcfe8b60caf
3
+ size 1064
checkpoint-256/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
checkpoint-256/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-256/spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
checkpoint-256/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-256/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": 1000000000000000019884624838656,
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-256/trainer_state.json ADDED
@@ -0,0 +1,2961 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.8,
5
+ "eval_steps": 32,
6
+ "global_step": 256,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.003125,
13
+ "grad_norm": 3.1757984161376953,
14
+ "learning_rate": 3.125e-07,
15
+ "loss": 0.7374,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.00625,
20
+ "grad_norm": 3.137390375137329,
21
+ "learning_rate": 6.25e-07,
22
+ "loss": 0.5723,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.009375,
27
+ "grad_norm": 2.765856981277466,
28
+ "learning_rate": 9.375000000000001e-07,
29
+ "loss": 0.551,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.0125,
34
+ "grad_norm": 3.468062162399292,
35
+ "learning_rate": 1.25e-06,
36
+ "loss": 0.7379,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.015625,
41
+ "grad_norm": 2.6695668697357178,
42
+ "learning_rate": 1.5625e-06,
43
+ "loss": 0.5271,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.01875,
48
+ "grad_norm": 2.7720863819122314,
49
+ "learning_rate": 1.8750000000000003e-06,
50
+ "loss": 0.5858,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.021875,
55
+ "grad_norm": 3.0211267471313477,
56
+ "learning_rate": 2.1875000000000002e-06,
57
+ "loss": 0.6562,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.025,
62
+ "grad_norm": 3.641108989715576,
63
+ "learning_rate": 2.5e-06,
64
+ "loss": 0.8228,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.028125,
69
+ "grad_norm": 3.9061200618743896,
70
+ "learning_rate": 2.8125e-06,
71
+ "loss": 0.9988,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.03125,
76
+ "grad_norm": 2.642423391342163,
77
+ "learning_rate": 3.125e-06,
78
+ "loss": 0.5582,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.034375,
83
+ "grad_norm": 3.6546943187713623,
84
+ "learning_rate": 3.4375e-06,
85
+ "loss": 0.8546,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.0375,
90
+ "grad_norm": 2.5504300594329834,
91
+ "learning_rate": 3.7500000000000005e-06,
92
+ "loss": 0.4235,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.040625,
97
+ "grad_norm": 2.845123529434204,
98
+ "learning_rate": 4.0625000000000005e-06,
99
+ "loss": 0.6418,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.04375,
104
+ "grad_norm": 2.8562164306640625,
105
+ "learning_rate": 4.3750000000000005e-06,
106
+ "loss": 0.6577,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.046875,
111
+ "grad_norm": 3.4033620357513428,
112
+ "learning_rate": 4.6875000000000004e-06,
113
+ "loss": 0.8333,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.05,
118
+ "grad_norm": 2.148242473602295,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.4082,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.053125,
125
+ "grad_norm": 3.685960292816162,
126
+ "learning_rate": 5.3125e-06,
127
+ "loss": 0.8101,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.05625,
132
+ "grad_norm": 2.7071452140808105,
133
+ "learning_rate": 5.625e-06,
134
+ "loss": 0.5259,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.059375,
139
+ "grad_norm": 3.508561611175537,
140
+ "learning_rate": 5.9375e-06,
141
+ "loss": 0.9015,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.0625,
146
+ "grad_norm": 4.140976428985596,
147
+ "learning_rate": 6.25e-06,
148
+ "loss": 1.3915,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.065625,
153
+ "grad_norm": 1.5563820600509644,
154
+ "learning_rate": 6.5625e-06,
155
+ "loss": 0.26,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.06875,
160
+ "grad_norm": 3.1467344760894775,
161
+ "learning_rate": 6.875e-06,
162
+ "loss": 0.6885,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.071875,
167
+ "grad_norm": 3.539327383041382,
168
+ "learning_rate": 7.1875e-06,
169
+ "loss": 0.9357,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.075,
174
+ "grad_norm": 3.1691510677337646,
175
+ "learning_rate": 7.500000000000001e-06,
176
+ "loss": 0.7168,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.078125,
181
+ "grad_norm": 3.9020121097564697,
182
+ "learning_rate": 7.8125e-06,
183
+ "loss": 0.8678,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.08125,
188
+ "grad_norm": 2.3635435104370117,
189
+ "learning_rate": 8.125000000000001e-06,
190
+ "loss": 0.4922,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.084375,
195
+ "grad_norm": 2.5170037746429443,
196
+ "learning_rate": 8.4375e-06,
197
+ "loss": 0.4937,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.0875,
202
+ "grad_norm": 2.7988407611846924,
203
+ "learning_rate": 8.750000000000001e-06,
204
+ "loss": 0.5891,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.090625,
209
+ "grad_norm": 2.99135160446167,
210
+ "learning_rate": 9.0625e-06,
211
+ "loss": 0.6921,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.09375,
216
+ "grad_norm": 3.098013162612915,
217
+ "learning_rate": 9.375000000000001e-06,
218
+ "loss": 0.8087,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.096875,
223
+ "grad_norm": 3.358091115951538,
224
+ "learning_rate": 9.6875e-06,
225
+ "loss": 0.805,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.1,
230
+ "grad_norm": 3.0206046104431152,
231
+ "learning_rate": 1e-05,
232
+ "loss": 0.6141,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.1,
237
+ "eval_VitaminC_cosine_accuracy": 0.5546875,
238
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8487042188644409,
239
+ "eval_VitaminC_cosine_ap": 0.5467207830251657,
240
+ "eval_VitaminC_cosine_f1": 0.6657824933687002,
241
+ "eval_VitaminC_cosine_f1_threshold": 0.2510407269001007,
242
+ "eval_VitaminC_cosine_precision": 0.4990059642147117,
243
+ "eval_VitaminC_cosine_recall": 1.0,
244
+ "eval_VitaminC_dot_accuracy": 0.55078125,
245
+ "eval_VitaminC_dot_accuracy_threshold": 318.7947082519531,
246
+ "eval_VitaminC_dot_ap": 0.5360598625078122,
247
+ "eval_VitaminC_dot_f1": 0.6657824933687002,
248
+ "eval_VitaminC_dot_f1_threshold": 98.82717895507812,
249
+ "eval_VitaminC_dot_precision": 0.4990059642147117,
250
+ "eval_VitaminC_dot_recall": 1.0,
251
+ "eval_VitaminC_euclidean_accuracy": 0.552734375,
252
+ "eval_VitaminC_euclidean_accuracy_threshold": 15.370981216430664,
253
+ "eval_VitaminC_euclidean_ap": 0.54465834495355,
254
+ "eval_VitaminC_euclidean_f1": 0.6657824933687002,
255
+ "eval_VitaminC_euclidean_f1_threshold": 24.364877700805664,
256
+ "eval_VitaminC_euclidean_precision": 0.4990059642147117,
257
+ "eval_VitaminC_euclidean_recall": 1.0,
258
+ "eval_VitaminC_manhattan_accuracy": 0.5546875,
259
+ "eval_VitaminC_manhattan_accuracy_threshold": 273.6689758300781,
260
+ "eval_VitaminC_manhattan_ap": 0.5450408710915566,
261
+ "eval_VitaminC_manhattan_f1": 0.6675531914893617,
262
+ "eval_VitaminC_manhattan_f1_threshold": 502.82244873046875,
263
+ "eval_VitaminC_manhattan_precision": 0.500998003992016,
264
+ "eval_VitaminC_manhattan_recall": 1.0,
265
+ "eval_VitaminC_max_accuracy": 0.5546875,
266
+ "eval_VitaminC_max_accuracy_threshold": 318.7947082519531,
267
+ "eval_VitaminC_max_ap": 0.5467207830251657,
268
+ "eval_VitaminC_max_f1": 0.6675531914893617,
269
+ "eval_VitaminC_max_f1_threshold": 502.82244873046875,
270
+ "eval_VitaminC_max_precision": 0.500998003992016,
271
+ "eval_VitaminC_max_recall": 1.0,
272
+ "eval_sequential_score": 0.5467207830251657,
273
+ "eval_sts-test_pearson_cosine": 0.8677868917853514,
274
+ "eval_sts-test_pearson_dot": 0.8601917125112223,
275
+ "eval_sts-test_pearson_euclidean": 0.889472619726378,
276
+ "eval_sts-test_pearson_manhattan": 0.890143281884324,
277
+ "eval_sts-test_pearson_max": 0.890143281884324,
278
+ "eval_sts-test_spearman_cosine": 0.8954519734959775,
279
+ "eval_sts-test_spearman_dot": 0.8621348855070287,
280
+ "eval_sts-test_spearman_euclidean": 0.8880001748147683,
281
+ "eval_sts-test_spearman_manhattan": 0.8870461226731652,
282
+ "eval_sts-test_spearman_max": 0.8954519734959775,
283
+ "eval_vitaminc-pairs_loss": 2.332582473754883,
284
+ "eval_vitaminc-pairs_runtime": 2.2432,
285
+ "eval_vitaminc-pairs_samples_per_second": 48.146,
286
+ "eval_vitaminc-pairs_steps_per_second": 0.892,
287
+ "step": 32
288
+ },
289
+ {
290
+ "epoch": 0.1,
291
+ "eval_negation-triplets_loss": 0.8681236505508423,
292
+ "eval_negation-triplets_runtime": 0.2927,
293
+ "eval_negation-triplets_samples_per_second": 218.641,
294
+ "eval_negation-triplets_steps_per_second": 3.416,
295
+ "step": 32
296
+ },
297
+ {
298
+ "epoch": 0.1,
299
+ "eval_scitail-pairs-pos_loss": 0.07759770005941391,
300
+ "eval_scitail-pairs-pos_runtime": 0.3708,
301
+ "eval_scitail-pairs-pos_samples_per_second": 145.613,
302
+ "eval_scitail-pairs-pos_steps_per_second": 2.697,
303
+ "step": 32
304
+ },
305
+ {
306
+ "epoch": 0.1,
307
+ "eval_xsum-pairs_loss": 0.09131219983100891,
308
+ "eval_xsum-pairs_runtime": 2.8486,
309
+ "eval_xsum-pairs_samples_per_second": 44.934,
310
+ "eval_xsum-pairs_steps_per_second": 0.702,
311
+ "step": 32
312
+ },
313
+ {
314
+ "epoch": 0.1,
315
+ "eval_sciq_pairs_loss": 0.01965576782822609,
316
+ "eval_sciq_pairs_runtime": 3.6062,
317
+ "eval_sciq_pairs_samples_per_second": 35.494,
318
+ "eval_sciq_pairs_steps_per_second": 0.555,
319
+ "step": 32
320
+ },
321
+ {
322
+ "epoch": 0.1,
323
+ "eval_qasc_pairs_loss": 0.10996829718351364,
324
+ "eval_qasc_pairs_runtime": 0.5975,
325
+ "eval_qasc_pairs_samples_per_second": 214.235,
326
+ "eval_qasc_pairs_steps_per_second": 3.347,
327
+ "step": 32
328
+ },
329
+ {
330
+ "epoch": 0.1,
331
+ "eval_openbookqa_pairs_loss": 0.6932356953620911,
332
+ "eval_openbookqa_pairs_runtime": 0.5729,
333
+ "eval_openbookqa_pairs_samples_per_second": 223.415,
334
+ "eval_openbookqa_pairs_steps_per_second": 3.491,
335
+ "step": 32
336
+ },
337
+ {
338
+ "epoch": 0.1,
339
+ "eval_msmarco_pairs_loss": 0.32686129212379456,
340
+ "eval_msmarco_pairs_runtime": 1.4637,
341
+ "eval_msmarco_pairs_samples_per_second": 87.448,
342
+ "eval_msmarco_pairs_steps_per_second": 1.366,
343
+ "step": 32
344
+ },
345
+ {
346
+ "epoch": 0.1,
347
+ "eval_nq_pairs_loss": 0.1978442668914795,
348
+ "eval_nq_pairs_runtime": 2.8588,
349
+ "eval_nq_pairs_samples_per_second": 44.774,
350
+ "eval_nq_pairs_steps_per_second": 0.7,
351
+ "step": 32
352
+ },
353
+ {
354
+ "epoch": 0.1,
355
+ "eval_trivia_pairs_loss": 0.7432661652565002,
356
+ "eval_trivia_pairs_runtime": 4.3895,
357
+ "eval_trivia_pairs_samples_per_second": 29.16,
358
+ "eval_trivia_pairs_steps_per_second": 0.456,
359
+ "step": 32
360
+ },
361
+ {
362
+ "epoch": 0.1,
363
+ "eval_gooaq_pairs_loss": 0.3761173486709595,
364
+ "eval_gooaq_pairs_runtime": 1.0043,
365
+ "eval_gooaq_pairs_samples_per_second": 127.452,
366
+ "eval_gooaq_pairs_steps_per_second": 1.991,
367
+ "step": 32
368
+ },
369
+ {
370
+ "epoch": 0.1,
371
+ "eval_paws-pos_loss": 0.02476382441818714,
372
+ "eval_paws-pos_runtime": 0.6858,
373
+ "eval_paws-pos_samples_per_second": 186.635,
374
+ "eval_paws-pos_steps_per_second": 2.916,
375
+ "step": 32
376
+ },
377
+ {
378
+ "epoch": 0.103125,
379
+ "grad_norm": 3.51029109954834,
380
+ "learning_rate": 1.0312500000000002e-05,
381
+ "loss": 0.7783,
382
+ "step": 33
383
+ },
384
+ {
385
+ "epoch": 0.10625,
386
+ "grad_norm": 3.376455783843994,
387
+ "learning_rate": 1.0625e-05,
388
+ "loss": 0.8746,
389
+ "step": 34
390
+ },
391
+ {
392
+ "epoch": 0.109375,
393
+ "grad_norm": 2.7385308742523193,
394
+ "learning_rate": 1.0937500000000002e-05,
395
+ "loss": 0.5085,
396
+ "step": 35
397
+ },
398
+ {
399
+ "epoch": 0.1125,
400
+ "grad_norm": 2.782606840133667,
401
+ "learning_rate": 1.125e-05,
402
+ "loss": 0.4842,
403
+ "step": 36
404
+ },
405
+ {
406
+ "epoch": 0.115625,
407
+ "grad_norm": 3.4377782344818115,
408
+ "learning_rate": 1.1562500000000002e-05,
409
+ "loss": 0.8097,
410
+ "step": 37
411
+ },
412
+ {
413
+ "epoch": 0.11875,
414
+ "grad_norm": 2.6202378273010254,
415
+ "learning_rate": 1.1875e-05,
416
+ "loss": 0.5325,
417
+ "step": 38
418
+ },
419
+ {
420
+ "epoch": 0.121875,
421
+ "grad_norm": 3.0869128704071045,
422
+ "learning_rate": 1.2187500000000001e-05,
423
+ "loss": 0.7221,
424
+ "step": 39
425
+ },
426
+ {
427
+ "epoch": 0.125,
428
+ "grad_norm": 3.131516456604004,
429
+ "learning_rate": 1.25e-05,
430
+ "loss": 0.708,
431
+ "step": 40
432
+ },
433
+ {
434
+ "epoch": 0.128125,
435
+ "grad_norm": 2.0318033695220947,
436
+ "learning_rate": 1.2812500000000001e-05,
437
+ "loss": 0.2789,
438
+ "step": 41
439
+ },
440
+ {
441
+ "epoch": 0.13125,
442
+ "grad_norm": 3.2574217319488525,
443
+ "learning_rate": 1.3125e-05,
444
+ "loss": 0.7986,
445
+ "step": 42
446
+ },
447
+ {
448
+ "epoch": 0.134375,
449
+ "grad_norm": 3.6287729740142822,
450
+ "learning_rate": 1.3437500000000001e-05,
451
+ "loss": 0.9653,
452
+ "step": 43
453
+ },
454
+ {
455
+ "epoch": 0.1375,
456
+ "grad_norm": 3.1281752586364746,
457
+ "learning_rate": 1.375e-05,
458
+ "loss": 0.7857,
459
+ "step": 44
460
+ },
461
+ {
462
+ "epoch": 0.140625,
463
+ "grad_norm": 2.201566219329834,
464
+ "learning_rate": 1.4062500000000001e-05,
465
+ "loss": 0.2726,
466
+ "step": 45
467
+ },
468
+ {
469
+ "epoch": 0.14375,
470
+ "grad_norm": 1.8727688789367676,
471
+ "learning_rate": 1.4375e-05,
472
+ "loss": 0.2458,
473
+ "step": 46
474
+ },
475
+ {
476
+ "epoch": 0.146875,
477
+ "grad_norm": 3.156454086303711,
478
+ "learning_rate": 1.4687500000000001e-05,
479
+ "loss": 0.6988,
480
+ "step": 47
481
+ },
482
+ {
483
+ "epoch": 0.15,
484
+ "grad_norm": 3.0224971771240234,
485
+ "learning_rate": 1.5000000000000002e-05,
486
+ "loss": 0.6328,
487
+ "step": 48
488
+ },
489
+ {
490
+ "epoch": 0.153125,
491
+ "grad_norm": 3.4717319011688232,
492
+ "learning_rate": 1.5312500000000003e-05,
493
+ "loss": 0.795,
494
+ "step": 49
495
+ },
496
+ {
497
+ "epoch": 0.15625,
498
+ "grad_norm": 2.8961374759674072,
499
+ "learning_rate": 1.5625e-05,
500
+ "loss": 0.6163,
501
+ "step": 50
502
+ },
503
+ {
504
+ "epoch": 0.159375,
505
+ "grad_norm": 3.667778491973877,
506
+ "learning_rate": 1.59375e-05,
507
+ "loss": 0.8269,
508
+ "step": 51
509
+ },
510
+ {
511
+ "epoch": 0.1625,
512
+ "grad_norm": 2.350587844848633,
513
+ "learning_rate": 1.6250000000000002e-05,
514
+ "loss": 0.52,
515
+ "step": 52
516
+ },
517
+ {
518
+ "epoch": 0.165625,
519
+ "grad_norm": 3.312248468399048,
520
+ "learning_rate": 1.6562500000000003e-05,
521
+ "loss": 0.7523,
522
+ "step": 53
523
+ },
524
+ {
525
+ "epoch": 0.16875,
526
+ "grad_norm": 2.8101534843444824,
527
+ "learning_rate": 1.6875e-05,
528
+ "loss": 0.6979,
529
+ "step": 54
530
+ },
531
+ {
532
+ "epoch": 0.171875,
533
+ "grad_norm": 3.144334077835083,
534
+ "learning_rate": 1.71875e-05,
535
+ "loss": 0.7845,
536
+ "step": 55
537
+ },
538
+ {
539
+ "epoch": 0.175,
540
+ "grad_norm": 3.671412229537964,
541
+ "learning_rate": 1.7500000000000002e-05,
542
+ "loss": 0.9325,
543
+ "step": 56
544
+ },
545
+ {
546
+ "epoch": 0.178125,
547
+ "grad_norm": 3.204644203186035,
548
+ "learning_rate": 1.7812500000000003e-05,
549
+ "loss": 0.8546,
550
+ "step": 57
551
+ },
552
+ {
553
+ "epoch": 0.18125,
554
+ "grad_norm": 2.9951093196868896,
555
+ "learning_rate": 1.8125e-05,
556
+ "loss": 0.6392,
557
+ "step": 58
558
+ },
559
+ {
560
+ "epoch": 0.184375,
561
+ "grad_norm": 3.036386013031006,
562
+ "learning_rate": 1.84375e-05,
563
+ "loss": 0.5827,
564
+ "step": 59
565
+ },
566
+ {
567
+ "epoch": 0.1875,
568
+ "grad_norm": 3.0899698734283447,
569
+ "learning_rate": 1.8750000000000002e-05,
570
+ "loss": 0.5961,
571
+ "step": 60
572
+ },
573
+ {
574
+ "epoch": 0.190625,
575
+ "grad_norm": 2.3574728965759277,
576
+ "learning_rate": 1.9062500000000003e-05,
577
+ "loss": 0.3625,
578
+ "step": 61
579
+ },
580
+ {
581
+ "epoch": 0.19375,
582
+ "grad_norm": 2.4232304096221924,
583
+ "learning_rate": 1.9375e-05,
584
+ "loss": 0.2584,
585
+ "step": 62
586
+ },
587
+ {
588
+ "epoch": 0.196875,
589
+ "grad_norm": 1.9016233682632446,
590
+ "learning_rate": 1.96875e-05,
591
+ "loss": 0.4047,
592
+ "step": 63
593
+ },
594
+ {
595
+ "epoch": 0.2,
596
+ "grad_norm": 3.193114995956421,
597
+ "learning_rate": 2e-05,
598
+ "loss": 0.9429,
599
+ "step": 64
600
+ },
601
+ {
602
+ "epoch": 0.2,
603
+ "eval_VitaminC_cosine_accuracy": 0.560546875,
604
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8192525506019592,
605
+ "eval_VitaminC_cosine_ap": 0.5485465805560719,
606
+ "eval_VitaminC_cosine_f1": 0.6675531914893617,
607
+ "eval_VitaminC_cosine_f1_threshold": 0.30620089173316956,
608
+ "eval_VitaminC_cosine_precision": 0.500998003992016,
609
+ "eval_VitaminC_cosine_recall": 1.0,
610
+ "eval_VitaminC_dot_accuracy": 0.5546875,
611
+ "eval_VitaminC_dot_accuracy_threshold": 308.60137939453125,
612
+ "eval_VitaminC_dot_ap": 0.5375184580780159,
613
+ "eval_VitaminC_dot_f1": 0.6657824933687002,
614
+ "eval_VitaminC_dot_f1_threshold": 97.275634765625,
615
+ "eval_VitaminC_dot_precision": 0.4990059642147117,
616
+ "eval_VitaminC_dot_recall": 1.0,
617
+ "eval_VitaminC_euclidean_accuracy": 0.552734375,
618
+ "eval_VitaminC_euclidean_accuracy_threshold": 11.976862907409668,
619
+ "eval_VitaminC_euclidean_ap": 0.5494925067012235,
620
+ "eval_VitaminC_euclidean_f1": 0.6666666666666666,
621
+ "eval_VitaminC_euclidean_f1_threshold": 23.21343994140625,
622
+ "eval_VitaminC_euclidean_precision": 0.5,
623
+ "eval_VitaminC_euclidean_recall": 1.0,
624
+ "eval_VitaminC_manhattan_accuracy": 0.552734375,
625
+ "eval_VitaminC_manhattan_accuracy_threshold": 313.34185791015625,
626
+ "eval_VitaminC_manhattan_ap": 0.5475158315491966,
627
+ "eval_VitaminC_manhattan_f1": 0.6666666666666666,
628
+ "eval_VitaminC_manhattan_f1_threshold": 495.06231689453125,
629
+ "eval_VitaminC_manhattan_precision": 0.5,
630
+ "eval_VitaminC_manhattan_recall": 1.0,
631
+ "eval_VitaminC_max_accuracy": 0.560546875,
632
+ "eval_VitaminC_max_accuracy_threshold": 313.34185791015625,
633
+ "eval_VitaminC_max_ap": 0.5494925067012235,
634
+ "eval_VitaminC_max_f1": 0.6675531914893617,
635
+ "eval_VitaminC_max_f1_threshold": 495.06231689453125,
636
+ "eval_VitaminC_max_precision": 0.500998003992016,
637
+ "eval_VitaminC_max_recall": 1.0,
638
+ "eval_sequential_score": 0.5494925067012235,
639
+ "eval_sts-test_pearson_cosine": 0.8681028367252808,
640
+ "eval_sts-test_pearson_dot": 0.8578643818026934,
641
+ "eval_sts-test_pearson_euclidean": 0.8913506886125709,
642
+ "eval_sts-test_pearson_manhattan": 0.8922209656727235,
643
+ "eval_sts-test_pearson_max": 0.8922209656727235,
644
+ "eval_sts-test_spearman_cosine": 0.8960442588011338,
645
+ "eval_sts-test_spearman_dot": 0.8606696844578128,
646
+ "eval_sts-test_spearman_euclidean": 0.8895474944286376,
647
+ "eval_sts-test_spearman_manhattan": 0.8895341585527426,
648
+ "eval_sts-test_spearman_max": 0.8960442588011338,
649
+ "eval_vitaminc-pairs_loss": 2.260099411010742,
650
+ "eval_vitaminc-pairs_runtime": 1.8392,
651
+ "eval_vitaminc-pairs_samples_per_second": 58.723,
652
+ "eval_vitaminc-pairs_steps_per_second": 1.087,
653
+ "step": 64
654
+ },
655
+ {
656
+ "epoch": 0.2,
657
+ "eval_negation-triplets_loss": 0.836820662021637,
658
+ "eval_negation-triplets_runtime": 0.294,
659
+ "eval_negation-triplets_samples_per_second": 217.7,
660
+ "eval_negation-triplets_steps_per_second": 3.402,
661
+ "step": 64
662
+ },
663
+ {
664
+ "epoch": 0.2,
665
+ "eval_scitail-pairs-pos_loss": 0.08362159878015518,
666
+ "eval_scitail-pairs-pos_runtime": 0.3686,
667
+ "eval_scitail-pairs-pos_samples_per_second": 146.509,
668
+ "eval_scitail-pairs-pos_steps_per_second": 2.713,
669
+ "step": 64
670
+ },
671
+ {
672
+ "epoch": 0.2,
673
+ "eval_xsum-pairs_loss": 0.08567425608634949,
674
+ "eval_xsum-pairs_runtime": 2.8489,
675
+ "eval_xsum-pairs_samples_per_second": 44.93,
676
+ "eval_xsum-pairs_steps_per_second": 0.702,
677
+ "step": 64
678
+ },
679
+ {
680
+ "epoch": 0.2,
681
+ "eval_sciq_pairs_loss": 0.019713517278432846,
682
+ "eval_sciq_pairs_runtime": 3.616,
683
+ "eval_sciq_pairs_samples_per_second": 35.399,
684
+ "eval_sciq_pairs_steps_per_second": 0.553,
685
+ "step": 64
686
+ },
687
+ {
688
+ "epoch": 0.2,
689
+ "eval_qasc_pairs_loss": 0.11403815448284149,
690
+ "eval_qasc_pairs_runtime": 0.6024,
691
+ "eval_qasc_pairs_samples_per_second": 212.48,
692
+ "eval_qasc_pairs_steps_per_second": 3.32,
693
+ "step": 64
694
+ },
695
+ {
696
+ "epoch": 0.2,
697
+ "eval_openbookqa_pairs_loss": 0.6793034076690674,
698
+ "eval_openbookqa_pairs_runtime": 0.5864,
699
+ "eval_openbookqa_pairs_samples_per_second": 218.266,
700
+ "eval_openbookqa_pairs_steps_per_second": 3.41,
701
+ "step": 64
702
+ },
703
+ {
704
+ "epoch": 0.2,
705
+ "eval_msmarco_pairs_loss": 0.34600257873535156,
706
+ "eval_msmarco_pairs_runtime": 1.4668,
707
+ "eval_msmarco_pairs_samples_per_second": 87.263,
708
+ "eval_msmarco_pairs_steps_per_second": 1.363,
709
+ "step": 64
710
+ },
711
+ {
712
+ "epoch": 0.2,
713
+ "eval_nq_pairs_loss": 0.22141708433628082,
714
+ "eval_nq_pairs_runtime": 2.8596,
715
+ "eval_nq_pairs_samples_per_second": 44.761,
716
+ "eval_nq_pairs_steps_per_second": 0.699,
717
+ "step": 64
718
+ },
719
+ {
720
+ "epoch": 0.2,
721
+ "eval_trivia_pairs_loss": 0.7303681969642639,
722
+ "eval_trivia_pairs_runtime": 4.3864,
723
+ "eval_trivia_pairs_samples_per_second": 29.181,
724
+ "eval_trivia_pairs_steps_per_second": 0.456,
725
+ "step": 64
726
+ },
727
+ {
728
+ "epoch": 0.2,
729
+ "eval_gooaq_pairs_loss": 0.38013964891433716,
730
+ "eval_gooaq_pairs_runtime": 1.0052,
731
+ "eval_gooaq_pairs_samples_per_second": 127.34,
732
+ "eval_gooaq_pairs_steps_per_second": 1.99,
733
+ "step": 64
734
+ },
735
+ {
736
+ "epoch": 0.2,
737
+ "eval_paws-pos_loss": 0.024541139602661133,
738
+ "eval_paws-pos_runtime": 0.6851,
739
+ "eval_paws-pos_samples_per_second": 186.844,
740
+ "eval_paws-pos_steps_per_second": 2.919,
741
+ "step": 64
742
+ },
743
+ {
744
+ "epoch": 0.203125,
745
+ "grad_norm": 3.5084540843963623,
746
+ "learning_rate": 2.0312500000000002e-05,
747
+ "loss": 0.7848,
748
+ "step": 65
749
+ },
750
+ {
751
+ "epoch": 0.20625,
752
+ "grad_norm": 3.749316453933716,
753
+ "learning_rate": 2.0625000000000003e-05,
754
+ "loss": 0.7589,
755
+ "step": 66
756
+ },
757
+ {
758
+ "epoch": 0.209375,
759
+ "grad_norm": 3.4131276607513428,
760
+ "learning_rate": 2.09375e-05,
761
+ "loss": 0.5905,
762
+ "step": 67
763
+ },
764
+ {
765
+ "epoch": 0.2125,
766
+ "grad_norm": 2.4543726444244385,
767
+ "learning_rate": 2.125e-05,
768
+ "loss": 0.4211,
769
+ "step": 68
770
+ },
771
+ {
772
+ "epoch": 0.215625,
773
+ "grad_norm": 2.6270904541015625,
774
+ "learning_rate": 2.1562500000000002e-05,
775
+ "loss": 0.5325,
776
+ "step": 69
777
+ },
778
+ {
779
+ "epoch": 0.21875,
780
+ "grad_norm": 2.2518444061279297,
781
+ "learning_rate": 2.1875000000000003e-05,
782
+ "loss": 0.3541,
783
+ "step": 70
784
+ },
785
+ {
786
+ "epoch": 0.221875,
787
+ "grad_norm": 3.88729190826416,
788
+ "learning_rate": 2.21875e-05,
789
+ "loss": 0.9396,
790
+ "step": 71
791
+ },
792
+ {
793
+ "epoch": 0.225,
794
+ "grad_norm": 3.2759203910827637,
795
+ "learning_rate": 2.25e-05,
796
+ "loss": 0.6997,
797
+ "step": 72
798
+ },
799
+ {
800
+ "epoch": 0.228125,
801
+ "grad_norm": 3.149787425994873,
802
+ "learning_rate": 2.2812500000000002e-05,
803
+ "loss": 0.6415,
804
+ "step": 73
805
+ },
806
+ {
807
+ "epoch": 0.23125,
808
+ "grad_norm": 4.01395845413208,
809
+ "learning_rate": 2.3125000000000003e-05,
810
+ "loss": 1.1966,
811
+ "step": 74
812
+ },
813
+ {
814
+ "epoch": 0.234375,
815
+ "grad_norm": 3.0432724952697754,
816
+ "learning_rate": 2.34375e-05,
817
+ "loss": 0.7142,
818
+ "step": 75
819
+ },
820
+ {
821
+ "epoch": 0.2375,
822
+ "grad_norm": 2.960078716278076,
823
+ "learning_rate": 2.375e-05,
824
+ "loss": 0.6048,
825
+ "step": 76
826
+ },
827
+ {
828
+ "epoch": 0.240625,
829
+ "grad_norm": 2.414846658706665,
830
+ "learning_rate": 2.4062500000000002e-05,
831
+ "loss": 0.4639,
832
+ "step": 77
833
+ },
834
+ {
835
+ "epoch": 0.24375,
836
+ "grad_norm": 4.241907119750977,
837
+ "learning_rate": 2.4375000000000003e-05,
838
+ "loss": 0.9391,
839
+ "step": 78
840
+ },
841
+ {
842
+ "epoch": 0.246875,
843
+ "grad_norm": 3.350724220275879,
844
+ "learning_rate": 2.46875e-05,
845
+ "loss": 0.6364,
846
+ "step": 79
847
+ },
848
+ {
849
+ "epoch": 0.25,
850
+ "grad_norm": 2.519324541091919,
851
+ "learning_rate": 2.5e-05,
852
+ "loss": 0.515,
853
+ "step": 80
854
+ },
855
+ {
856
+ "epoch": 0.253125,
857
+ "grad_norm": 3.655949592590332,
858
+ "learning_rate": 2.5312500000000002e-05,
859
+ "loss": 0.6505,
860
+ "step": 81
861
+ },
862
+ {
863
+ "epoch": 0.25625,
864
+ "grad_norm": 3.1521031856536865,
865
+ "learning_rate": 2.5625000000000003e-05,
866
+ "loss": 0.6149,
867
+ "step": 82
868
+ },
869
+ {
870
+ "epoch": 0.259375,
871
+ "grad_norm": 2.637176036834717,
872
+ "learning_rate": 2.5937500000000004e-05,
873
+ "loss": 0.4471,
874
+ "step": 83
875
+ },
876
+ {
877
+ "epoch": 0.2625,
878
+ "grad_norm": 4.223080158233643,
879
+ "learning_rate": 2.625e-05,
880
+ "loss": 1.4199,
881
+ "step": 84
882
+ },
883
+ {
884
+ "epoch": 0.265625,
885
+ "grad_norm": 3.141789436340332,
886
+ "learning_rate": 2.6562500000000002e-05,
887
+ "loss": 0.8484,
888
+ "step": 85
889
+ },
890
+ {
891
+ "epoch": 0.26875,
892
+ "grad_norm": 3.2342255115509033,
893
+ "learning_rate": 2.6875000000000003e-05,
894
+ "loss": 0.6412,
895
+ "step": 86
896
+ },
897
+ {
898
+ "epoch": 0.271875,
899
+ "grad_norm": 3.445375442504883,
900
+ "learning_rate": 2.7187500000000004e-05,
901
+ "loss": 0.65,
902
+ "step": 87
903
+ },
904
+ {
905
+ "epoch": 0.275,
906
+ "grad_norm": 3.395848035812378,
907
+ "learning_rate": 2.75e-05,
908
+ "loss": 0.7453,
909
+ "step": 88
910
+ },
911
+ {
912
+ "epoch": 0.278125,
913
+ "grad_norm": 3.752084493637085,
914
+ "learning_rate": 2.7812500000000002e-05,
915
+ "loss": 0.9506,
916
+ "step": 89
917
+ },
918
+ {
919
+ "epoch": 0.28125,
920
+ "grad_norm": 3.2424893379211426,
921
+ "learning_rate": 2.8125000000000003e-05,
922
+ "loss": 0.6083,
923
+ "step": 90
924
+ },
925
+ {
926
+ "epoch": 0.284375,
927
+ "grad_norm": 2.8851892948150635,
928
+ "learning_rate": 2.8437500000000003e-05,
929
+ "loss": 0.7102,
930
+ "step": 91
931
+ },
932
+ {
933
+ "epoch": 0.2875,
934
+ "grad_norm": 2.385157823562622,
935
+ "learning_rate": 2.875e-05,
936
+ "loss": 0.4037,
937
+ "step": 92
938
+ },
939
+ {
940
+ "epoch": 0.290625,
941
+ "grad_norm": 3.5539441108703613,
942
+ "learning_rate": 2.90625e-05,
943
+ "loss": 0.769,
944
+ "step": 93
945
+ },
946
+ {
947
+ "epoch": 0.29375,
948
+ "grad_norm": 3.686418056488037,
949
+ "learning_rate": 2.9375000000000003e-05,
950
+ "loss": 0.8765,
951
+ "step": 94
952
+ },
953
+ {
954
+ "epoch": 0.296875,
955
+ "grad_norm": 3.9195055961608887,
956
+ "learning_rate": 2.9687500000000003e-05,
957
+ "loss": 1.2583,
958
+ "step": 95
959
+ },
960
+ {
961
+ "epoch": 0.3,
962
+ "grad_norm": 3.5373759269714355,
963
+ "learning_rate": 3.0000000000000004e-05,
964
+ "loss": 0.8885,
965
+ "step": 96
966
+ },
967
+ {
968
+ "epoch": 0.3,
969
+ "eval_VitaminC_cosine_accuracy": 0.55859375,
970
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8407348990440369,
971
+ "eval_VitaminC_cosine_ap": 0.5524635737287826,
972
+ "eval_VitaminC_cosine_f1": 0.6666666666666666,
973
+ "eval_VitaminC_cosine_f1_threshold": 0.2901695668697357,
974
+ "eval_VitaminC_cosine_precision": 0.5,
975
+ "eval_VitaminC_cosine_recall": 1.0,
976
+ "eval_VitaminC_dot_accuracy": 0.5546875,
977
+ "eval_VitaminC_dot_accuracy_threshold": 331.7409973144531,
978
+ "eval_VitaminC_dot_ap": 0.5393192469559877,
979
+ "eval_VitaminC_dot_f1": 0.6657824933687002,
980
+ "eval_VitaminC_dot_f1_threshold": 104.93923950195312,
981
+ "eval_VitaminC_dot_precision": 0.4990059642147117,
982
+ "eval_VitaminC_dot_recall": 1.0,
983
+ "eval_VitaminC_euclidean_accuracy": 0.5546875,
984
+ "eval_VitaminC_euclidean_accuracy_threshold": 10.979323387145996,
985
+ "eval_VitaminC_euclidean_ap": 0.5510789245842218,
986
+ "eval_VitaminC_euclidean_f1": 0.6666666666666666,
987
+ "eval_VitaminC_euclidean_f1_threshold": 23.105466842651367,
988
+ "eval_VitaminC_euclidean_precision": 0.5,
989
+ "eval_VitaminC_euclidean_recall": 1.0,
990
+ "eval_VitaminC_manhattan_accuracy": 0.55078125,
991
+ "eval_VitaminC_manhattan_accuracy_threshold": 228.8612060546875,
992
+ "eval_VitaminC_manhattan_ap": 0.550140326019901,
993
+ "eval_VitaminC_manhattan_f1": 0.6666666666666667,
994
+ "eval_VitaminC_manhattan_f1_threshold": 479.256103515625,
995
+ "eval_VitaminC_manhattan_precision": 0.501002004008016,
996
+ "eval_VitaminC_manhattan_recall": 0.9960159362549801,
997
+ "eval_VitaminC_max_accuracy": 0.55859375,
998
+ "eval_VitaminC_max_accuracy_threshold": 331.7409973144531,
999
+ "eval_VitaminC_max_ap": 0.5524635737287826,
1000
+ "eval_VitaminC_max_f1": 0.6666666666666667,
1001
+ "eval_VitaminC_max_f1_threshold": 479.256103515625,
1002
+ "eval_VitaminC_max_precision": 0.501002004008016,
1003
+ "eval_VitaminC_max_recall": 1.0,
1004
+ "eval_sequential_score": 0.5524635737287826,
1005
+ "eval_sts-test_pearson_cosine": 0.8707252459918289,
1006
+ "eval_sts-test_pearson_dot": 0.8616721319399807,
1007
+ "eval_sts-test_pearson_euclidean": 0.8926205493906139,
1008
+ "eval_sts-test_pearson_manhattan": 0.8931067612799872,
1009
+ "eval_sts-test_pearson_max": 0.8931067612799872,
1010
+ "eval_sts-test_spearman_cosine": 0.8969095691913977,
1011
+ "eval_sts-test_spearman_dot": 0.8614390033923923,
1012
+ "eval_sts-test_spearman_euclidean": 0.8906887410966409,
1013
+ "eval_sts-test_spearman_manhattan": 0.8902939007173846,
1014
+ "eval_sts-test_spearman_max": 0.8969095691913977,
1015
+ "eval_vitaminc-pairs_loss": 2.259434938430786,
1016
+ "eval_vitaminc-pairs_runtime": 1.8587,
1017
+ "eval_vitaminc-pairs_samples_per_second": 58.104,
1018
+ "eval_vitaminc-pairs_steps_per_second": 1.076,
1019
+ "step": 96
1020
+ },
1021
+ {
1022
+ "epoch": 0.3,
1023
+ "eval_negation-triplets_loss": 0.8346852660179138,
1024
+ "eval_negation-triplets_runtime": 0.2932,
1025
+ "eval_negation-triplets_samples_per_second": 218.315,
1026
+ "eval_negation-triplets_steps_per_second": 3.411,
1027
+ "step": 96
1028
+ },
1029
+ {
1030
+ "epoch": 0.3,
1031
+ "eval_scitail-pairs-pos_loss": 0.07568605989217758,
1032
+ "eval_scitail-pairs-pos_runtime": 0.3763,
1033
+ "eval_scitail-pairs-pos_samples_per_second": 143.494,
1034
+ "eval_scitail-pairs-pos_steps_per_second": 2.657,
1035
+ "step": 96
1036
+ },
1037
+ {
1038
+ "epoch": 0.3,
1039
+ "eval_xsum-pairs_loss": 0.08208194375038147,
1040
+ "eval_xsum-pairs_runtime": 2.8486,
1041
+ "eval_xsum-pairs_samples_per_second": 44.934,
1042
+ "eval_xsum-pairs_steps_per_second": 0.702,
1043
+ "step": 96
1044
+ },
1045
+ {
1046
+ "epoch": 0.3,
1047
+ "eval_sciq_pairs_loss": 0.020024314522743225,
1048
+ "eval_sciq_pairs_runtime": 3.6173,
1049
+ "eval_sciq_pairs_samples_per_second": 35.386,
1050
+ "eval_sciq_pairs_steps_per_second": 0.553,
1051
+ "step": 96
1052
+ },
1053
+ {
1054
+ "epoch": 0.3,
1055
+ "eval_qasc_pairs_loss": 0.10592304170131683,
1056
+ "eval_qasc_pairs_runtime": 0.5997,
1057
+ "eval_qasc_pairs_samples_per_second": 213.431,
1058
+ "eval_qasc_pairs_steps_per_second": 3.335,
1059
+ "step": 96
1060
+ },
1061
+ {
1062
+ "epoch": 0.3,
1063
+ "eval_openbookqa_pairs_loss": 0.6809090971946716,
1064
+ "eval_openbookqa_pairs_runtime": 0.5752,
1065
+ "eval_openbookqa_pairs_samples_per_second": 222.54,
1066
+ "eval_openbookqa_pairs_steps_per_second": 3.477,
1067
+ "step": 96
1068
+ },
1069
+ {
1070
+ "epoch": 0.3,
1071
+ "eval_msmarco_pairs_loss": 0.3400232195854187,
1072
+ "eval_msmarco_pairs_runtime": 1.4679,
1073
+ "eval_msmarco_pairs_samples_per_second": 87.202,
1074
+ "eval_msmarco_pairs_steps_per_second": 1.363,
1075
+ "step": 96
1076
+ },
1077
+ {
1078
+ "epoch": 0.3,
1079
+ "eval_nq_pairs_loss": 0.2074178159236908,
1080
+ "eval_nq_pairs_runtime": 2.8593,
1081
+ "eval_nq_pairs_samples_per_second": 44.766,
1082
+ "eval_nq_pairs_steps_per_second": 0.699,
1083
+ "step": 96
1084
+ },
1085
+ {
1086
+ "epoch": 0.3,
1087
+ "eval_trivia_pairs_loss": 0.7431399822235107,
1088
+ "eval_trivia_pairs_runtime": 4.4162,
1089
+ "eval_trivia_pairs_samples_per_second": 28.984,
1090
+ "eval_trivia_pairs_steps_per_second": 0.453,
1091
+ "step": 96
1092
+ },
1093
+ {
1094
+ "epoch": 0.3,
1095
+ "eval_gooaq_pairs_loss": 0.3708875775337219,
1096
+ "eval_gooaq_pairs_runtime": 1.0094,
1097
+ "eval_gooaq_pairs_samples_per_second": 126.81,
1098
+ "eval_gooaq_pairs_steps_per_second": 1.981,
1099
+ "step": 96
1100
+ },
1101
+ {
1102
+ "epoch": 0.3,
1103
+ "eval_paws-pos_loss": 0.024763749912381172,
1104
+ "eval_paws-pos_runtime": 0.6874,
1105
+ "eval_paws-pos_samples_per_second": 186.212,
1106
+ "eval_paws-pos_steps_per_second": 2.91,
1107
+ "step": 96
1108
+ },
1109
+ {
1110
+ "epoch": 0.303125,
1111
+ "grad_norm": 3.2354822158813477,
1112
+ "learning_rate": 3.03125e-05,
1113
+ "loss": 0.6398,
1114
+ "step": 97
1115
+ },
1116
+ {
1117
+ "epoch": 0.30625,
1118
+ "grad_norm": 3.6665022373199463,
1119
+ "learning_rate": 3.0625000000000006e-05,
1120
+ "loss": 0.8263,
1121
+ "step": 98
1122
+ },
1123
+ {
1124
+ "epoch": 0.309375,
1125
+ "grad_norm": 3.026954412460327,
1126
+ "learning_rate": 3.09375e-05,
1127
+ "loss": 0.8716,
1128
+ "step": 99
1129
+ },
1130
+ {
1131
+ "epoch": 0.3125,
1132
+ "grad_norm": 2.445453643798828,
1133
+ "learning_rate": 3.125e-05,
1134
+ "loss": 0.5523,
1135
+ "step": 100
1136
+ },
1137
+ {
1138
+ "epoch": 0.315625,
1139
+ "grad_norm": 3.4408035278320312,
1140
+ "learning_rate": 3.15625e-05,
1141
+ "loss": 0.5811,
1142
+ "step": 101
1143
+ },
1144
+ {
1145
+ "epoch": 0.31875,
1146
+ "grad_norm": 2.8406240940093994,
1147
+ "learning_rate": 3.1875e-05,
1148
+ "loss": 0.7602,
1149
+ "step": 102
1150
+ },
1151
+ {
1152
+ "epoch": 0.321875,
1153
+ "grad_norm": 2.5201492309570312,
1154
+ "learning_rate": 3.21875e-05,
1155
+ "loss": 0.5337,
1156
+ "step": 103
1157
+ },
1158
+ {
1159
+ "epoch": 0.325,
1160
+ "grad_norm": 3.323239326477051,
1161
+ "learning_rate": 3.2500000000000004e-05,
1162
+ "loss": 0.8182,
1163
+ "step": 104
1164
+ },
1165
+ {
1166
+ "epoch": 0.328125,
1167
+ "grad_norm": 3.2463977336883545,
1168
+ "learning_rate": 3.2812500000000005e-05,
1169
+ "loss": 0.6641,
1170
+ "step": 105
1171
+ },
1172
+ {
1173
+ "epoch": 0.33125,
1174
+ "grad_norm": 3.4495010375976562,
1175
+ "learning_rate": 3.3125000000000006e-05,
1176
+ "loss": 1.0088,
1177
+ "step": 106
1178
+ },
1179
+ {
1180
+ "epoch": 0.334375,
1181
+ "grad_norm": 2.7572243213653564,
1182
+ "learning_rate": 3.34375e-05,
1183
+ "loss": 0.7556,
1184
+ "step": 107
1185
+ },
1186
+ {
1187
+ "epoch": 0.3375,
1188
+ "grad_norm": 3.494549512863159,
1189
+ "learning_rate": 3.375e-05,
1190
+ "loss": 0.713,
1191
+ "step": 108
1192
+ },
1193
+ {
1194
+ "epoch": 0.340625,
1195
+ "grad_norm": 3.4666013717651367,
1196
+ "learning_rate": 3.40625e-05,
1197
+ "loss": 0.8385,
1198
+ "step": 109
1199
+ },
1200
+ {
1201
+ "epoch": 0.34375,
1202
+ "grad_norm": 3.05104660987854,
1203
+ "learning_rate": 3.4375e-05,
1204
+ "loss": 0.5181,
1205
+ "step": 110
1206
+ },
1207
+ {
1208
+ "epoch": 0.346875,
1209
+ "grad_norm": 3.8259003162384033,
1210
+ "learning_rate": 3.46875e-05,
1211
+ "loss": 1.0939,
1212
+ "step": 111
1213
+ },
1214
+ {
1215
+ "epoch": 0.35,
1216
+ "grad_norm": 3.287792205810547,
1217
+ "learning_rate": 3.5000000000000004e-05,
1218
+ "loss": 0.5826,
1219
+ "step": 112
1220
+ },
1221
+ {
1222
+ "epoch": 0.353125,
1223
+ "grad_norm": 3.9174458980560303,
1224
+ "learning_rate": 3.5312500000000005e-05,
1225
+ "loss": 0.7121,
1226
+ "step": 113
1227
+ },
1228
+ {
1229
+ "epoch": 0.35625,
1230
+ "grad_norm": 3.424893379211426,
1231
+ "learning_rate": 3.5625000000000005e-05,
1232
+ "loss": 0.9371,
1233
+ "step": 114
1234
+ },
1235
+ {
1236
+ "epoch": 0.359375,
1237
+ "grad_norm": 3.5157482624053955,
1238
+ "learning_rate": 3.5937500000000006e-05,
1239
+ "loss": 0.7739,
1240
+ "step": 115
1241
+ },
1242
+ {
1243
+ "epoch": 0.3625,
1244
+ "grad_norm": 4.468640327453613,
1245
+ "learning_rate": 3.625e-05,
1246
+ "loss": 0.9612,
1247
+ "step": 116
1248
+ },
1249
+ {
1250
+ "epoch": 0.365625,
1251
+ "grad_norm": 3.4379608631134033,
1252
+ "learning_rate": 3.65625e-05,
1253
+ "loss": 0.7213,
1254
+ "step": 117
1255
+ },
1256
+ {
1257
+ "epoch": 0.36875,
1258
+ "grad_norm": 2.9453623294830322,
1259
+ "learning_rate": 3.6875e-05,
1260
+ "loss": 0.621,
1261
+ "step": 118
1262
+ },
1263
+ {
1264
+ "epoch": 0.371875,
1265
+ "grad_norm": 2.4365315437316895,
1266
+ "learning_rate": 3.71875e-05,
1267
+ "loss": 0.5503,
1268
+ "step": 119
1269
+ },
1270
+ {
1271
+ "epoch": 0.375,
1272
+ "grad_norm": 3.446967124938965,
1273
+ "learning_rate": 3.7500000000000003e-05,
1274
+ "loss": 0.8439,
1275
+ "step": 120
1276
+ },
1277
+ {
1278
+ "epoch": 0.378125,
1279
+ "grad_norm": 3.8797788619995117,
1280
+ "learning_rate": 3.7812500000000004e-05,
1281
+ "loss": 0.7813,
1282
+ "step": 121
1283
+ },
1284
+ {
1285
+ "epoch": 0.38125,
1286
+ "grad_norm": 3.0103230476379395,
1287
+ "learning_rate": 3.8125000000000005e-05,
1288
+ "loss": 0.5637,
1289
+ "step": 122
1290
+ },
1291
+ {
1292
+ "epoch": 0.384375,
1293
+ "grad_norm": 3.9547793865203857,
1294
+ "learning_rate": 3.8437500000000006e-05,
1295
+ "loss": 0.9052,
1296
+ "step": 123
1297
+ },
1298
+ {
1299
+ "epoch": 0.3875,
1300
+ "grad_norm": 2.953261375427246,
1301
+ "learning_rate": 3.875e-05,
1302
+ "loss": 0.64,
1303
+ "step": 124
1304
+ },
1305
+ {
1306
+ "epoch": 0.390625,
1307
+ "grad_norm": 2.914365768432617,
1308
+ "learning_rate": 3.90625e-05,
1309
+ "loss": 0.6529,
1310
+ "step": 125
1311
+ },
1312
+ {
1313
+ "epoch": 0.39375,
1314
+ "grad_norm": 3.346844434738159,
1315
+ "learning_rate": 3.9375e-05,
1316
+ "loss": 0.6894,
1317
+ "step": 126
1318
+ },
1319
+ {
1320
+ "epoch": 0.396875,
1321
+ "grad_norm": 3.946427583694458,
1322
+ "learning_rate": 3.96875e-05,
1323
+ "loss": 0.8604,
1324
+ "step": 127
1325
+ },
1326
+ {
1327
+ "epoch": 0.4,
1328
+ "grad_norm": 3.3265583515167236,
1329
+ "learning_rate": 4e-05,
1330
+ "loss": 0.8503,
1331
+ "step": 128
1332
+ },
1333
+ {
1334
+ "epoch": 0.4,
1335
+ "eval_VitaminC_cosine_accuracy": 0.55859375,
1336
+ "eval_VitaminC_cosine_accuracy_threshold": 0.835027813911438,
1337
+ "eval_VitaminC_cosine_ap": 0.5482054260732142,
1338
+ "eval_VitaminC_cosine_f1": 0.6666666666666666,
1339
+ "eval_VitaminC_cosine_f1_threshold": 0.28428012132644653,
1340
+ "eval_VitaminC_cosine_precision": 0.5,
1341
+ "eval_VitaminC_cosine_recall": 1.0,
1342
+ "eval_VitaminC_dot_accuracy": 0.548828125,
1343
+ "eval_VitaminC_dot_accuracy_threshold": 321.1236572265625,
1344
+ "eval_VitaminC_dot_ap": 0.5350248143918641,
1345
+ "eval_VitaminC_dot_f1": 0.6649006622516557,
1346
+ "eval_VitaminC_dot_f1_threshold": 94.1016616821289,
1347
+ "eval_VitaminC_dot_precision": 0.498015873015873,
1348
+ "eval_VitaminC_dot_recall": 1.0,
1349
+ "eval_VitaminC_euclidean_accuracy": 0.55859375,
1350
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.260427474975586,
1351
+ "eval_VitaminC_euclidean_ap": 0.551773706587656,
1352
+ "eval_VitaminC_euclidean_f1": 0.6657824933687002,
1353
+ "eval_VitaminC_euclidean_f1_threshold": 23.911056518554688,
1354
+ "eval_VitaminC_euclidean_precision": 0.4990059642147117,
1355
+ "eval_VitaminC_euclidean_recall": 1.0,
1356
+ "eval_VitaminC_manhattan_accuracy": 0.55859375,
1357
+ "eval_VitaminC_manhattan_accuracy_threshold": 273.4624328613281,
1358
+ "eval_VitaminC_manhattan_ap": 0.5494410762635437,
1359
+ "eval_VitaminC_manhattan_f1": 0.6666666666666667,
1360
+ "eval_VitaminC_manhattan_f1_threshold": 472.7373046875,
1361
+ "eval_VitaminC_manhattan_precision": 0.5020161290322581,
1362
+ "eval_VitaminC_manhattan_recall": 0.9920318725099602,
1363
+ "eval_VitaminC_max_accuracy": 0.55859375,
1364
+ "eval_VitaminC_max_accuracy_threshold": 321.1236572265625,
1365
+ "eval_VitaminC_max_ap": 0.551773706587656,
1366
+ "eval_VitaminC_max_f1": 0.6666666666666667,
1367
+ "eval_VitaminC_max_f1_threshold": 472.7373046875,
1368
+ "eval_VitaminC_max_precision": 0.5020161290322581,
1369
+ "eval_VitaminC_max_recall": 1.0,
1370
+ "eval_sequential_score": 0.551773706587656,
1371
+ "eval_sts-test_pearson_cosine": 0.8672675483925697,
1372
+ "eval_sts-test_pearson_dot": 0.8586110849200466,
1373
+ "eval_sts-test_pearson_euclidean": 0.8915515585715386,
1374
+ "eval_sts-test_pearson_manhattan": 0.8913674606593633,
1375
+ "eval_sts-test_pearson_max": 0.8915515585715386,
1376
+ "eval_sts-test_spearman_cosine": 0.8969123885208655,
1377
+ "eval_sts-test_spearman_dot": 0.8619306407500383,
1378
+ "eval_sts-test_spearman_euclidean": 0.8903670690297594,
1379
+ "eval_sts-test_spearman_manhattan": 0.890351227083227,
1380
+ "eval_sts-test_spearman_max": 0.8969123885208655,
1381
+ "eval_vitaminc-pairs_loss": 2.0338199138641357,
1382
+ "eval_vitaminc-pairs_runtime": 1.8309,
1383
+ "eval_vitaminc-pairs_samples_per_second": 58.988,
1384
+ "eval_vitaminc-pairs_steps_per_second": 1.092,
1385
+ "step": 128
1386
+ },
1387
+ {
1388
+ "epoch": 0.4,
1389
+ "eval_negation-triplets_loss": 0.7916581630706787,
1390
+ "eval_negation-triplets_runtime": 0.2912,
1391
+ "eval_negation-triplets_samples_per_second": 219.766,
1392
+ "eval_negation-triplets_steps_per_second": 3.434,
1393
+ "step": 128
1394
+ },
1395
+ {
1396
+ "epoch": 0.4,
1397
+ "eval_scitail-pairs-pos_loss": 0.07755717635154724,
1398
+ "eval_scitail-pairs-pos_runtime": 0.3716,
1399
+ "eval_scitail-pairs-pos_samples_per_second": 145.312,
1400
+ "eval_scitail-pairs-pos_steps_per_second": 2.691,
1401
+ "step": 128
1402
+ },
1403
+ {
1404
+ "epoch": 0.4,
1405
+ "eval_xsum-pairs_loss": 0.08196285367012024,
1406
+ "eval_xsum-pairs_runtime": 2.852,
1407
+ "eval_xsum-pairs_samples_per_second": 44.881,
1408
+ "eval_xsum-pairs_steps_per_second": 0.701,
1409
+ "step": 128
1410
+ },
1411
+ {
1412
+ "epoch": 0.4,
1413
+ "eval_sciq_pairs_loss": 0.020960956811904907,
1414
+ "eval_sciq_pairs_runtime": 3.5913,
1415
+ "eval_sciq_pairs_samples_per_second": 35.642,
1416
+ "eval_sciq_pairs_steps_per_second": 0.557,
1417
+ "step": 128
1418
+ },
1419
+ {
1420
+ "epoch": 0.4,
1421
+ "eval_qasc_pairs_loss": 0.11308694630861282,
1422
+ "eval_qasc_pairs_runtime": 0.595,
1423
+ "eval_qasc_pairs_samples_per_second": 215.137,
1424
+ "eval_qasc_pairs_steps_per_second": 3.362,
1425
+ "step": 128
1426
+ },
1427
+ {
1428
+ "epoch": 0.4,
1429
+ "eval_openbookqa_pairs_loss": 0.7888042330741882,
1430
+ "eval_openbookqa_pairs_runtime": 0.5711,
1431
+ "eval_openbookqa_pairs_samples_per_second": 224.114,
1432
+ "eval_openbookqa_pairs_steps_per_second": 3.502,
1433
+ "step": 128
1434
+ },
1435
+ {
1436
+ "epoch": 0.4,
1437
+ "eval_msmarco_pairs_loss": 0.3428971469402313,
1438
+ "eval_msmarco_pairs_runtime": 1.465,
1439
+ "eval_msmarco_pairs_samples_per_second": 87.373,
1440
+ "eval_msmarco_pairs_steps_per_second": 1.365,
1441
+ "step": 128
1442
+ },
1443
+ {
1444
+ "epoch": 0.4,
1445
+ "eval_nq_pairs_loss": 0.20846250653266907,
1446
+ "eval_nq_pairs_runtime": 2.8581,
1447
+ "eval_nq_pairs_samples_per_second": 44.786,
1448
+ "eval_nq_pairs_steps_per_second": 0.7,
1449
+ "step": 128
1450
+ },
1451
+ {
1452
+ "epoch": 0.4,
1453
+ "eval_trivia_pairs_loss": 0.7110738754272461,
1454
+ "eval_trivia_pairs_runtime": 4.3917,
1455
+ "eval_trivia_pairs_samples_per_second": 29.146,
1456
+ "eval_trivia_pairs_steps_per_second": 0.455,
1457
+ "step": 128
1458
+ },
1459
+ {
1460
+ "epoch": 0.4,
1461
+ "eval_gooaq_pairs_loss": 0.3744402229785919,
1462
+ "eval_gooaq_pairs_runtime": 1.0043,
1463
+ "eval_gooaq_pairs_samples_per_second": 127.448,
1464
+ "eval_gooaq_pairs_steps_per_second": 1.991,
1465
+ "step": 128
1466
+ },
1467
+ {
1468
+ "epoch": 0.4,
1469
+ "eval_paws-pos_loss": 0.024828137829899788,
1470
+ "eval_paws-pos_runtime": 0.6859,
1471
+ "eval_paws-pos_samples_per_second": 186.611,
1472
+ "eval_paws-pos_steps_per_second": 2.916,
1473
+ "step": 128
1474
+ },
1475
+ {
1476
+ "epoch": 0.403125,
1477
+ "grad_norm": 3.7963619232177734,
1478
+ "learning_rate": 3.999971762923902e-05,
1479
+ "loss": 0.8171,
1480
+ "step": 129
1481
+ },
1482
+ {
1483
+ "epoch": 0.40625,
1484
+ "grad_norm": 3.987645387649536,
1485
+ "learning_rate": 3.999887052758717e-05,
1486
+ "loss": 1.0401,
1487
+ "step": 130
1488
+ },
1489
+ {
1490
+ "epoch": 0.409375,
1491
+ "grad_norm": 2.653578758239746,
1492
+ "learning_rate": 3.999745872693735e-05,
1493
+ "loss": 0.4243,
1494
+ "step": 131
1495
+ },
1496
+ {
1497
+ "epoch": 0.4125,
1498
+ "grad_norm": 2.3737175464630127,
1499
+ "learning_rate": 3.9995482280443065e-05,
1500
+ "loss": 0.3778,
1501
+ "step": 132
1502
+ },
1503
+ {
1504
+ "epoch": 0.415625,
1505
+ "grad_norm": 3.334118127822876,
1506
+ "learning_rate": 3.99929412625164e-05,
1507
+ "loss": 0.7651,
1508
+ "step": 133
1509
+ },
1510
+ {
1511
+ "epoch": 0.41875,
1512
+ "grad_norm": 3.5098752975463867,
1513
+ "learning_rate": 3.998983576882524e-05,
1514
+ "loss": 0.6003,
1515
+ "step": 134
1516
+ },
1517
+ {
1518
+ "epoch": 0.421875,
1519
+ "grad_norm": 3.023698091506958,
1520
+ "learning_rate": 3.9986165916289686e-05,
1521
+ "loss": 0.6023,
1522
+ "step": 135
1523
+ },
1524
+ {
1525
+ "epoch": 0.425,
1526
+ "grad_norm": 3.293668746948242,
1527
+ "learning_rate": 3.998193184307759e-05,
1528
+ "loss": 0.6079,
1529
+ "step": 136
1530
+ },
1531
+ {
1532
+ "epoch": 0.428125,
1533
+ "grad_norm": 3.326125144958496,
1534
+ "learning_rate": 3.997713370859942e-05,
1535
+ "loss": 0.6206,
1536
+ "step": 137
1537
+ },
1538
+ {
1539
+ "epoch": 0.43125,
1540
+ "grad_norm": 3.322040557861328,
1541
+ "learning_rate": 3.997177169350224e-05,
1542
+ "loss": 0.4694,
1543
+ "step": 138
1544
+ },
1545
+ {
1546
+ "epoch": 0.434375,
1547
+ "grad_norm": 3.1219382286071777,
1548
+ "learning_rate": 3.996584599966288e-05,
1549
+ "loss": 0.7528,
1550
+ "step": 139
1551
+ },
1552
+ {
1553
+ "epoch": 0.4375,
1554
+ "grad_norm": 3.7076480388641357,
1555
+ "learning_rate": 3.9959356850180354e-05,
1556
+ "loss": 0.8395,
1557
+ "step": 140
1558
+ },
1559
+ {
1560
+ "epoch": 0.440625,
1561
+ "grad_norm": 3.1098551750183105,
1562
+ "learning_rate": 3.995230448936749e-05,
1563
+ "loss": 0.6689,
1564
+ "step": 141
1565
+ },
1566
+ {
1567
+ "epoch": 0.44375,
1568
+ "grad_norm": 3.31339168548584,
1569
+ "learning_rate": 3.9944689182741674e-05,
1570
+ "loss": 0.6547,
1571
+ "step": 142
1572
+ },
1573
+ {
1574
+ "epoch": 0.446875,
1575
+ "grad_norm": 4.2841386795043945,
1576
+ "learning_rate": 3.99365112170149e-05,
1577
+ "loss": 0.9242,
1578
+ "step": 143
1579
+ },
1580
+ {
1581
+ "epoch": 0.45,
1582
+ "grad_norm": 4.0628132820129395,
1583
+ "learning_rate": 3.992777090008296e-05,
1584
+ "loss": 0.9496,
1585
+ "step": 144
1586
+ },
1587
+ {
1588
+ "epoch": 0.453125,
1589
+ "grad_norm": 3.484614849090576,
1590
+ "learning_rate": 3.9918468561013834e-05,
1591
+ "loss": 0.6506,
1592
+ "step": 145
1593
+ },
1594
+ {
1595
+ "epoch": 0.45625,
1596
+ "grad_norm": 3.4139559268951416,
1597
+ "learning_rate": 3.990860455003534e-05,
1598
+ "loss": 0.786,
1599
+ "step": 146
1600
+ },
1601
+ {
1602
+ "epoch": 0.459375,
1603
+ "grad_norm": 3.4322853088378906,
1604
+ "learning_rate": 3.9898179238521916e-05,
1605
+ "loss": 0.7414,
1606
+ "step": 147
1607
+ },
1608
+ {
1609
+ "epoch": 0.4625,
1610
+ "grad_norm": 2.660554885864258,
1611
+ "learning_rate": 3.9887193018980654e-05,
1612
+ "loss": 0.3978,
1613
+ "step": 148
1614
+ },
1615
+ {
1616
+ "epoch": 0.465625,
1617
+ "grad_norm": 2.6429054737091064,
1618
+ "learning_rate": 3.9875646305036494e-05,
1619
+ "loss": 0.5635,
1620
+ "step": 149
1621
+ },
1622
+ {
1623
+ "epoch": 0.46875,
1624
+ "grad_norm": 4.292131423950195,
1625
+ "learning_rate": 3.98635395314167e-05,
1626
+ "loss": 0.9466,
1627
+ "step": 150
1628
+ },
1629
+ {
1630
+ "epoch": 0.471875,
1631
+ "grad_norm": 3.1115028858184814,
1632
+ "learning_rate": 3.9850873153934456e-05,
1633
+ "loss": 0.5251,
1634
+ "step": 151
1635
+ },
1636
+ {
1637
+ "epoch": 0.475,
1638
+ "grad_norm": 3.307051181793213,
1639
+ "learning_rate": 3.983764764947172e-05,
1640
+ "loss": 0.6636,
1641
+ "step": 152
1642
+ },
1643
+ {
1644
+ "epoch": 0.478125,
1645
+ "grad_norm": 3.807854652404785,
1646
+ "learning_rate": 3.9823863515961245e-05,
1647
+ "loss": 0.7834,
1648
+ "step": 153
1649
+ },
1650
+ {
1651
+ "epoch": 0.48125,
1652
+ "grad_norm": 2.9957728385925293,
1653
+ "learning_rate": 3.980952127236788e-05,
1654
+ "loss": 0.6177,
1655
+ "step": 154
1656
+ },
1657
+ {
1658
+ "epoch": 0.484375,
1659
+ "grad_norm": 3.3072471618652344,
1660
+ "learning_rate": 3.979462145866898e-05,
1661
+ "loss": 0.4558,
1662
+ "step": 155
1663
+ },
1664
+ {
1665
+ "epoch": 0.4875,
1666
+ "grad_norm": 3.0199949741363525,
1667
+ "learning_rate": 3.977916463583412e-05,
1668
+ "loss": 0.5228,
1669
+ "step": 156
1670
+ },
1671
+ {
1672
+ "epoch": 0.490625,
1673
+ "grad_norm": 2.8596651554107666,
1674
+ "learning_rate": 3.9763151385803936e-05,
1675
+ "loss": 0.5543,
1676
+ "step": 157
1677
+ },
1678
+ {
1679
+ "epoch": 0.49375,
1680
+ "grad_norm": 3.0589263439178467,
1681
+ "learning_rate": 3.974658231146825e-05,
1682
+ "loss": 0.7127,
1683
+ "step": 158
1684
+ },
1685
+ {
1686
+ "epoch": 0.496875,
1687
+ "grad_norm": 2.489602565765381,
1688
+ "learning_rate": 3.9729458036643335e-05,
1689
+ "loss": 0.4227,
1690
+ "step": 159
1691
+ },
1692
+ {
1693
+ "epoch": 0.5,
1694
+ "grad_norm": 3.3471999168395996,
1695
+ "learning_rate": 3.971177920604846e-05,
1696
+ "loss": 0.5914,
1697
+ "step": 160
1698
+ },
1699
+ {
1700
+ "epoch": 0.5,
1701
+ "eval_VitaminC_cosine_accuracy": 0.55859375,
1702
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8433390855789185,
1703
+ "eval_VitaminC_cosine_ap": 0.5529005025024077,
1704
+ "eval_VitaminC_cosine_f1": 0.6657824933687002,
1705
+ "eval_VitaminC_cosine_f1_threshold": 0.3040446639060974,
1706
+ "eval_VitaminC_cosine_precision": 0.4990059642147117,
1707
+ "eval_VitaminC_cosine_recall": 1.0,
1708
+ "eval_VitaminC_dot_accuracy": 0.55859375,
1709
+ "eval_VitaminC_dot_accuracy_threshold": 309.7912902832031,
1710
+ "eval_VitaminC_dot_ap": 0.5373200658982779,
1711
+ "eval_VitaminC_dot_f1": 0.6666666666666666,
1712
+ "eval_VitaminC_dot_f1_threshold": 122.78400421142578,
1713
+ "eval_VitaminC_dot_precision": 0.5,
1714
+ "eval_VitaminC_dot_recall": 1.0,
1715
+ "eval_VitaminC_euclidean_accuracy": 0.5546875,
1716
+ "eval_VitaminC_euclidean_accuracy_threshold": 11.011507034301758,
1717
+ "eval_VitaminC_euclidean_ap": 0.5542686405562732,
1718
+ "eval_VitaminC_euclidean_f1": 0.6675531914893617,
1719
+ "eval_VitaminC_euclidean_f1_threshold": 22.90133285522461,
1720
+ "eval_VitaminC_euclidean_precision": 0.500998003992016,
1721
+ "eval_VitaminC_euclidean_recall": 1.0,
1722
+ "eval_VitaminC_manhattan_accuracy": 0.55859375,
1723
+ "eval_VitaminC_manhattan_accuracy_threshold": 293.54693603515625,
1724
+ "eval_VitaminC_manhattan_ap": 0.5529507613553954,
1725
+ "eval_VitaminC_manhattan_f1": 0.6666666666666667,
1726
+ "eval_VitaminC_manhattan_f1_threshold": 479.09588623046875,
1727
+ "eval_VitaminC_manhattan_precision": 0.501002004008016,
1728
+ "eval_VitaminC_manhattan_recall": 0.9960159362549801,
1729
+ "eval_VitaminC_max_accuracy": 0.55859375,
1730
+ "eval_VitaminC_max_accuracy_threshold": 309.7912902832031,
1731
+ "eval_VitaminC_max_ap": 0.5542686405562732,
1732
+ "eval_VitaminC_max_f1": 0.6675531914893617,
1733
+ "eval_VitaminC_max_f1_threshold": 479.09588623046875,
1734
+ "eval_VitaminC_max_precision": 0.501002004008016,
1735
+ "eval_VitaminC_max_recall": 1.0,
1736
+ "eval_sequential_score": 0.5542686405562732,
1737
+ "eval_sts-test_pearson_cosine": 0.8717931331186477,
1738
+ "eval_sts-test_pearson_dot": 0.8628985772297639,
1739
+ "eval_sts-test_pearson_euclidean": 0.8935960577585327,
1740
+ "eval_sts-test_pearson_manhattan": 0.8926162242871916,
1741
+ "eval_sts-test_pearson_max": 0.8935960577585327,
1742
+ "eval_sts-test_spearman_cosine": 0.8989036406477372,
1743
+ "eval_sts-test_spearman_dot": 0.8620115510306339,
1744
+ "eval_sts-test_spearman_euclidean": 0.8911198747488857,
1745
+ "eval_sts-test_spearman_manhattan": 0.8899440801070879,
1746
+ "eval_sts-test_spearman_max": 0.8989036406477372,
1747
+ "eval_vitaminc-pairs_loss": 2.0564281940460205,
1748
+ "eval_vitaminc-pairs_runtime": 1.8511,
1749
+ "eval_vitaminc-pairs_samples_per_second": 58.343,
1750
+ "eval_vitaminc-pairs_steps_per_second": 1.08,
1751
+ "step": 160
1752
+ },
1753
+ {
1754
+ "epoch": 0.5,
1755
+ "eval_negation-triplets_loss": 0.7865684032440186,
1756
+ "eval_negation-triplets_runtime": 0.2987,
1757
+ "eval_negation-triplets_samples_per_second": 214.291,
1758
+ "eval_negation-triplets_steps_per_second": 3.348,
1759
+ "step": 160
1760
+ },
1761
+ {
1762
+ "epoch": 0.5,
1763
+ "eval_scitail-pairs-pos_loss": 0.09969007223844528,
1764
+ "eval_scitail-pairs-pos_runtime": 0.384,
1765
+ "eval_scitail-pairs-pos_samples_per_second": 140.615,
1766
+ "eval_scitail-pairs-pos_steps_per_second": 2.604,
1767
+ "step": 160
1768
+ },
1769
+ {
1770
+ "epoch": 0.5,
1771
+ "eval_xsum-pairs_loss": 0.08461853861808777,
1772
+ "eval_xsum-pairs_runtime": 2.8533,
1773
+ "eval_xsum-pairs_samples_per_second": 44.86,
1774
+ "eval_xsum-pairs_steps_per_second": 0.701,
1775
+ "step": 160
1776
+ },
1777
+ {
1778
+ "epoch": 0.5,
1779
+ "eval_sciq_pairs_loss": 0.020078735426068306,
1780
+ "eval_sciq_pairs_runtime": 3.6458,
1781
+ "eval_sciq_pairs_samples_per_second": 35.109,
1782
+ "eval_sciq_pairs_steps_per_second": 0.549,
1783
+ "step": 160
1784
+ },
1785
+ {
1786
+ "epoch": 0.5,
1787
+ "eval_qasc_pairs_loss": 0.12362705171108246,
1788
+ "eval_qasc_pairs_runtime": 0.6028,
1789
+ "eval_qasc_pairs_samples_per_second": 212.356,
1790
+ "eval_qasc_pairs_steps_per_second": 3.318,
1791
+ "step": 160
1792
+ },
1793
+ {
1794
+ "epoch": 0.5,
1795
+ "eval_openbookqa_pairs_loss": 0.6668081283569336,
1796
+ "eval_openbookqa_pairs_runtime": 0.5784,
1797
+ "eval_openbookqa_pairs_samples_per_second": 221.308,
1798
+ "eval_openbookqa_pairs_steps_per_second": 3.458,
1799
+ "step": 160
1800
+ },
1801
+ {
1802
+ "epoch": 0.5,
1803
+ "eval_msmarco_pairs_loss": 0.32913729548454285,
1804
+ "eval_msmarco_pairs_runtime": 1.4669,
1805
+ "eval_msmarco_pairs_samples_per_second": 87.26,
1806
+ "eval_msmarco_pairs_steps_per_second": 1.363,
1807
+ "step": 160
1808
+ },
1809
+ {
1810
+ "epoch": 0.5,
1811
+ "eval_nq_pairs_loss": 0.2085198312997818,
1812
+ "eval_nq_pairs_runtime": 2.8644,
1813
+ "eval_nq_pairs_samples_per_second": 44.687,
1814
+ "eval_nq_pairs_steps_per_second": 0.698,
1815
+ "step": 160
1816
+ },
1817
+ {
1818
+ "epoch": 0.5,
1819
+ "eval_trivia_pairs_loss": 0.7138605117797852,
1820
+ "eval_trivia_pairs_runtime": 4.3915,
1821
+ "eval_trivia_pairs_samples_per_second": 29.147,
1822
+ "eval_trivia_pairs_steps_per_second": 0.455,
1823
+ "step": 160
1824
+ },
1825
+ {
1826
+ "epoch": 0.5,
1827
+ "eval_gooaq_pairs_loss": 0.3919322192668915,
1828
+ "eval_gooaq_pairs_runtime": 1.004,
1829
+ "eval_gooaq_pairs_samples_per_second": 127.484,
1830
+ "eval_gooaq_pairs_steps_per_second": 1.992,
1831
+ "step": 160
1832
+ },
1833
+ {
1834
+ "epoch": 0.5,
1835
+ "eval_paws-pos_loss": 0.025703923776745796,
1836
+ "eval_paws-pos_runtime": 0.6869,
1837
+ "eval_paws-pos_samples_per_second": 186.332,
1838
+ "eval_paws-pos_steps_per_second": 2.911,
1839
+ "step": 160
1840
+ },
1841
+ {
1842
+ "epoch": 0.503125,
1843
+ "grad_norm": 2.7484354972839355,
1844
+ "learning_rate": 3.9693546485281616e-05,
1845
+ "loss": 0.3874,
1846
+ "step": 161
1847
+ },
1848
+ {
1849
+ "epoch": 0.50625,
1850
+ "grad_norm": 3.9011173248291016,
1851
+ "learning_rate": 3.967476056079441e-05,
1852
+ "loss": 0.8134,
1853
+ "step": 162
1854
+ },
1855
+ {
1856
+ "epoch": 0.509375,
1857
+ "grad_norm": 3.723893642425537,
1858
+ "learning_rate": 3.9655422139866315e-05,
1859
+ "loss": 0.5596,
1860
+ "step": 163
1861
+ },
1862
+ {
1863
+ "epoch": 0.5125,
1864
+ "grad_norm": 1.8328720331192017,
1865
+ "learning_rate": 3.963553195057793e-05,
1866
+ "loss": 0.2877,
1867
+ "step": 164
1868
+ },
1869
+ {
1870
+ "epoch": 0.515625,
1871
+ "grad_norm": 2.9615490436553955,
1872
+ "learning_rate": 3.9615090741783634e-05,
1873
+ "loss": 0.5218,
1874
+ "step": 165
1875
+ },
1876
+ {
1877
+ "epoch": 0.51875,
1878
+ "grad_norm": 3.041154146194458,
1879
+ "learning_rate": 3.959409928308341e-05,
1880
+ "loss": 0.5282,
1881
+ "step": 166
1882
+ },
1883
+ {
1884
+ "epoch": 0.521875,
1885
+ "grad_norm": 3.439157247543335,
1886
+ "learning_rate": 3.957255836479377e-05,
1887
+ "loss": 0.7528,
1888
+ "step": 167
1889
+ },
1890
+ {
1891
+ "epoch": 0.525,
1892
+ "grad_norm": 3.576984405517578,
1893
+ "learning_rate": 3.955046879791816e-05,
1894
+ "loss": 0.7174,
1895
+ "step": 168
1896
+ },
1897
+ {
1898
+ "epoch": 0.528125,
1899
+ "grad_norm": 3.1042630672454834,
1900
+ "learning_rate": 3.952783141411626e-05,
1901
+ "loss": 0.6902,
1902
+ "step": 169
1903
+ },
1904
+ {
1905
+ "epoch": 0.53125,
1906
+ "grad_norm": 3.0211422443389893,
1907
+ "learning_rate": 3.9504647065672785e-05,
1908
+ "loss": 0.7486,
1909
+ "step": 170
1910
+ },
1911
+ {
1912
+ "epoch": 0.534375,
1913
+ "grad_norm": 3.5162508487701416,
1914
+ "learning_rate": 3.9480916625465344e-05,
1915
+ "loss": 0.6333,
1916
+ "step": 171
1917
+ },
1918
+ {
1919
+ "epoch": 0.5375,
1920
+ "grad_norm": 3.9070920944213867,
1921
+ "learning_rate": 3.9456640986931606e-05,
1922
+ "loss": 1.2932,
1923
+ "step": 172
1924
+ },
1925
+ {
1926
+ "epoch": 0.540625,
1927
+ "grad_norm": 3.548743724822998,
1928
+ "learning_rate": 3.943182106403563e-05,
1929
+ "loss": 0.6259,
1930
+ "step": 173
1931
+ },
1932
+ {
1933
+ "epoch": 0.54375,
1934
+ "grad_norm": 3.64949893951416,
1935
+ "learning_rate": 3.940645779123349e-05,
1936
+ "loss": 0.8357,
1937
+ "step": 174
1938
+ },
1939
+ {
1940
+ "epoch": 0.546875,
1941
+ "grad_norm": 2.4284133911132812,
1942
+ "learning_rate": 3.938055212343807e-05,
1943
+ "loss": 0.3604,
1944
+ "step": 175
1945
+ },
1946
+ {
1947
+ "epoch": 0.55,
1948
+ "grad_norm": 2.9141008853912354,
1949
+ "learning_rate": 3.9354105035983135e-05,
1950
+ "loss": 0.6598,
1951
+ "step": 176
1952
+ },
1953
+ {
1954
+ "epoch": 0.553125,
1955
+ "grad_norm": 2.0430235862731934,
1956
+ "learning_rate": 3.932711752458657e-05,
1957
+ "loss": 0.3169,
1958
+ "step": 177
1959
+ },
1960
+ {
1961
+ "epoch": 0.55625,
1962
+ "grad_norm": 3.522728204727173,
1963
+ "learning_rate": 3.929959060531291e-05,
1964
+ "loss": 0.8629,
1965
+ "step": 178
1966
+ },
1967
+ {
1968
+ "epoch": 0.559375,
1969
+ "grad_norm": 2.419400453567505,
1970
+ "learning_rate": 3.927152531453513e-05,
1971
+ "loss": 0.3648,
1972
+ "step": 179
1973
+ },
1974
+ {
1975
+ "epoch": 0.5625,
1976
+ "grad_norm": 2.826747417449951,
1977
+ "learning_rate": 3.924292270889555e-05,
1978
+ "loss": 0.5103,
1979
+ "step": 180
1980
+ },
1981
+ {
1982
+ "epoch": 0.565625,
1983
+ "grad_norm": 3.2149524688720703,
1984
+ "learning_rate": 3.921378386526612e-05,
1985
+ "loss": 0.6255,
1986
+ "step": 181
1987
+ },
1988
+ {
1989
+ "epoch": 0.56875,
1990
+ "grad_norm": 2.2112457752227783,
1991
+ "learning_rate": 3.918410988070782e-05,
1992
+ "loss": 0.4382,
1993
+ "step": 182
1994
+ },
1995
+ {
1996
+ "epoch": 0.571875,
1997
+ "grad_norm": 2.301940441131592,
1998
+ "learning_rate": 3.915390187242941e-05,
1999
+ "loss": 0.4647,
2000
+ "step": 183
2001
+ },
2002
+ {
2003
+ "epoch": 0.575,
2004
+ "grad_norm": 2.272001266479492,
2005
+ "learning_rate": 3.912316097774532e-05,
2006
+ "loss": 0.4218,
2007
+ "step": 184
2008
+ },
2009
+ {
2010
+ "epoch": 0.578125,
2011
+ "grad_norm": 3.77436900138855,
2012
+ "learning_rate": 3.909188835403285e-05,
2013
+ "loss": 0.8244,
2014
+ "step": 185
2015
+ },
2016
+ {
2017
+ "epoch": 0.58125,
2018
+ "grad_norm": 3.236813545227051,
2019
+ "learning_rate": 3.906008517868863e-05,
2020
+ "loss": 0.6579,
2021
+ "step": 186
2022
+ },
2023
+ {
2024
+ "epoch": 0.584375,
2025
+ "grad_norm": 3.1845405101776123,
2026
+ "learning_rate": 3.9027752649084215e-05,
2027
+ "loss": 0.8384,
2028
+ "step": 187
2029
+ },
2030
+ {
2031
+ "epoch": 0.5875,
2032
+ "grad_norm": 2.709747791290283,
2033
+ "learning_rate": 3.899489198252108e-05,
2034
+ "loss": 0.5266,
2035
+ "step": 188
2036
+ },
2037
+ {
2038
+ "epoch": 0.590625,
2039
+ "grad_norm": 2.5210235118865967,
2040
+ "learning_rate": 3.896150441618476e-05,
2041
+ "loss": 0.5079,
2042
+ "step": 189
2043
+ },
2044
+ {
2045
+ "epoch": 0.59375,
2046
+ "grad_norm": 1.9979658126831055,
2047
+ "learning_rate": 3.892759120709824e-05,
2048
+ "loss": 0.2574,
2049
+ "step": 190
2050
+ },
2051
+ {
2052
+ "epoch": 0.596875,
2053
+ "grad_norm": 2.4257137775421143,
2054
+ "learning_rate": 3.8893153632074675e-05,
2055
+ "loss": 0.4162,
2056
+ "step": 191
2057
+ },
2058
+ {
2059
+ "epoch": 0.6,
2060
+ "grad_norm": 3.482635021209717,
2061
+ "learning_rate": 3.88581929876693e-05,
2062
+ "loss": 0.7872,
2063
+ "step": 192
2064
+ },
2065
+ {
2066
+ "epoch": 0.6,
2067
+ "eval_VitaminC_cosine_accuracy": 0.564453125,
2068
+ "eval_VitaminC_cosine_accuracy_threshold": 0.737064003944397,
2069
+ "eval_VitaminC_cosine_ap": 0.5553950127875514,
2070
+ "eval_VitaminC_cosine_f1": 0.6666666666666666,
2071
+ "eval_VitaminC_cosine_f1_threshold": 0.312030553817749,
2072
+ "eval_VitaminC_cosine_precision": 0.5,
2073
+ "eval_VitaminC_cosine_recall": 1.0,
2074
+ "eval_VitaminC_dot_accuracy": 0.5625,
2075
+ "eval_VitaminC_dot_accuracy_threshold": 326.57232666015625,
2076
+ "eval_VitaminC_dot_ap": 0.5370581483003721,
2077
+ "eval_VitaminC_dot_f1": 0.6649006622516557,
2078
+ "eval_VitaminC_dot_f1_threshold": 116.00311279296875,
2079
+ "eval_VitaminC_dot_precision": 0.498015873015873,
2080
+ "eval_VitaminC_dot_recall": 1.0,
2081
+ "eval_VitaminC_euclidean_accuracy": 0.55859375,
2082
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.492112159729004,
2083
+ "eval_VitaminC_euclidean_ap": 0.5536857778177137,
2084
+ "eval_VitaminC_euclidean_f1": 0.6657824933687002,
2085
+ "eval_VitaminC_euclidean_f1_threshold": 23.840118408203125,
2086
+ "eval_VitaminC_euclidean_precision": 0.4990059642147117,
2087
+ "eval_VitaminC_euclidean_recall": 1.0,
2088
+ "eval_VitaminC_manhattan_accuracy": 0.5625,
2089
+ "eval_VitaminC_manhattan_accuracy_threshold": 306.6820983886719,
2090
+ "eval_VitaminC_manhattan_ap": 0.5520101545849081,
2091
+ "eval_VitaminC_manhattan_f1": 0.6666666666666666,
2092
+ "eval_VitaminC_manhattan_f1_threshold": 490.146728515625,
2093
+ "eval_VitaminC_manhattan_precision": 0.5,
2094
+ "eval_VitaminC_manhattan_recall": 1.0,
2095
+ "eval_VitaminC_max_accuracy": 0.564453125,
2096
+ "eval_VitaminC_max_accuracy_threshold": 326.57232666015625,
2097
+ "eval_VitaminC_max_ap": 0.5553950127875514,
2098
+ "eval_VitaminC_max_f1": 0.6666666666666666,
2099
+ "eval_VitaminC_max_f1_threshold": 490.146728515625,
2100
+ "eval_VitaminC_max_precision": 0.5,
2101
+ "eval_VitaminC_max_recall": 1.0,
2102
+ "eval_sequential_score": 0.5553950127875514,
2103
+ "eval_sts-test_pearson_cosine": 0.8705183135475563,
2104
+ "eval_sts-test_pearson_dot": 0.8575572680200927,
2105
+ "eval_sts-test_pearson_euclidean": 0.894961141451468,
2106
+ "eval_sts-test_pearson_manhattan": 0.8946364485546632,
2107
+ "eval_sts-test_pearson_max": 0.894961141451468,
2108
+ "eval_sts-test_spearman_cosine": 0.8981581293842179,
2109
+ "eval_sts-test_spearman_dot": 0.8574014998383989,
2110
+ "eval_sts-test_spearman_euclidean": 0.8924189591158167,
2111
+ "eval_sts-test_spearman_manhattan": 0.8920942887144219,
2112
+ "eval_sts-test_spearman_max": 0.8981581293842179,
2113
+ "eval_vitaminc-pairs_loss": 2.066204786300659,
2114
+ "eval_vitaminc-pairs_runtime": 1.8428,
2115
+ "eval_vitaminc-pairs_samples_per_second": 58.608,
2116
+ "eval_vitaminc-pairs_steps_per_second": 1.085,
2117
+ "step": 192
2118
+ },
2119
+ {
2120
+ "epoch": 0.6,
2121
+ "eval_negation-triplets_loss": 0.763123095035553,
2122
+ "eval_negation-triplets_runtime": 0.297,
2123
+ "eval_negation-triplets_samples_per_second": 215.511,
2124
+ "eval_negation-triplets_steps_per_second": 3.367,
2125
+ "step": 192
2126
+ },
2127
+ {
2128
+ "epoch": 0.6,
2129
+ "eval_scitail-pairs-pos_loss": 0.07364190369844437,
2130
+ "eval_scitail-pairs-pos_runtime": 0.3662,
2131
+ "eval_scitail-pairs-pos_samples_per_second": 147.451,
2132
+ "eval_scitail-pairs-pos_steps_per_second": 2.731,
2133
+ "step": 192
2134
+ },
2135
+ {
2136
+ "epoch": 0.6,
2137
+ "eval_xsum-pairs_loss": 0.06735075265169144,
2138
+ "eval_xsum-pairs_runtime": 2.8409,
2139
+ "eval_xsum-pairs_samples_per_second": 45.056,
2140
+ "eval_xsum-pairs_steps_per_second": 0.704,
2141
+ "step": 192
2142
+ },
2143
+ {
2144
+ "epoch": 0.6,
2145
+ "eval_sciq_pairs_loss": 0.01930728368461132,
2146
+ "eval_sciq_pairs_runtime": 3.6003,
2147
+ "eval_sciq_pairs_samples_per_second": 35.552,
2148
+ "eval_sciq_pairs_steps_per_second": 0.556,
2149
+ "step": 192
2150
+ },
2151
+ {
2152
+ "epoch": 0.6,
2153
+ "eval_qasc_pairs_loss": 0.11278136074542999,
2154
+ "eval_qasc_pairs_runtime": 0.5997,
2155
+ "eval_qasc_pairs_samples_per_second": 213.437,
2156
+ "eval_qasc_pairs_steps_per_second": 3.335,
2157
+ "step": 192
2158
+ },
2159
+ {
2160
+ "epoch": 0.6,
2161
+ "eval_openbookqa_pairs_loss": 0.7505559921264648,
2162
+ "eval_openbookqa_pairs_runtime": 0.5774,
2163
+ "eval_openbookqa_pairs_samples_per_second": 221.691,
2164
+ "eval_openbookqa_pairs_steps_per_second": 3.464,
2165
+ "step": 192
2166
+ },
2167
+ {
2168
+ "epoch": 0.6,
2169
+ "eval_msmarco_pairs_loss": 0.33166375756263733,
2170
+ "eval_msmarco_pairs_runtime": 1.4619,
2171
+ "eval_msmarco_pairs_samples_per_second": 87.558,
2172
+ "eval_msmarco_pairs_steps_per_second": 1.368,
2173
+ "step": 192
2174
+ },
2175
+ {
2176
+ "epoch": 0.6,
2177
+ "eval_nq_pairs_loss": 0.21051406860351562,
2178
+ "eval_nq_pairs_runtime": 2.858,
2179
+ "eval_nq_pairs_samples_per_second": 44.786,
2180
+ "eval_nq_pairs_steps_per_second": 0.7,
2181
+ "step": 192
2182
+ },
2183
+ {
2184
+ "epoch": 0.6,
2185
+ "eval_trivia_pairs_loss": 0.7072564363479614,
2186
+ "eval_trivia_pairs_runtime": 4.3854,
2187
+ "eval_trivia_pairs_samples_per_second": 29.187,
2188
+ "eval_trivia_pairs_steps_per_second": 0.456,
2189
+ "step": 192
2190
+ },
2191
+ {
2192
+ "epoch": 0.6,
2193
+ "eval_gooaq_pairs_loss": 0.3748788833618164,
2194
+ "eval_gooaq_pairs_runtime": 1.0024,
2195
+ "eval_gooaq_pairs_samples_per_second": 127.692,
2196
+ "eval_gooaq_pairs_steps_per_second": 1.995,
2197
+ "step": 192
2198
+ },
2199
+ {
2200
+ "epoch": 0.6,
2201
+ "eval_paws-pos_loss": 0.025185449048876762,
2202
+ "eval_paws-pos_runtime": 0.6844,
2203
+ "eval_paws-pos_samples_per_second": 187.016,
2204
+ "eval_paws-pos_steps_per_second": 2.922,
2205
+ "step": 192
2206
+ },
2207
+ {
2208
+ "epoch": 0.603125,
2209
+ "grad_norm": 1.527544617652893,
2210
+ "learning_rate": 3.882271059013064e-05,
2211
+ "loss": 0.2606,
2212
+ "step": 193
2213
+ },
2214
+ {
2215
+ "epoch": 0.60625,
2216
+ "grad_norm": 3.647446870803833,
2217
+ "learning_rate": 3.878670777535087e-05,
2218
+ "loss": 0.8808,
2219
+ "step": 194
2220
+ },
2221
+ {
2222
+ "epoch": 0.609375,
2223
+ "grad_norm": 3.806488275527954,
2224
+ "learning_rate": 3.875018589881564e-05,
2225
+ "loss": 0.7685,
2226
+ "step": 195
2227
+ },
2228
+ {
2229
+ "epoch": 0.6125,
2230
+ "grad_norm": 2.9896490573883057,
2231
+ "learning_rate": 3.871314633555296e-05,
2232
+ "loss": 0.7186,
2233
+ "step": 196
2234
+ },
2235
+ {
2236
+ "epoch": 0.615625,
2237
+ "grad_norm": 1.31754732131958,
2238
+ "learning_rate": 3.8675590480081455e-05,
2239
+ "loss": 0.1147,
2240
+ "step": 197
2241
+ },
2242
+ {
2243
+ "epoch": 0.61875,
2244
+ "grad_norm": 2.025834798812866,
2245
+ "learning_rate": 3.863751974635784e-05,
2246
+ "loss": 0.2816,
2247
+ "step": 198
2248
+ },
2249
+ {
2250
+ "epoch": 0.621875,
2251
+ "grad_norm": 2.5674166679382324,
2252
+ "learning_rate": 3.8598935567723734e-05,
2253
+ "loss": 0.506,
2254
+ "step": 199
2255
+ },
2256
+ {
2257
+ "epoch": 0.625,
2258
+ "grad_norm": 3.270737648010254,
2259
+ "learning_rate": 3.8559839396851656e-05,
2260
+ "loss": 0.5699,
2261
+ "step": 200
2262
+ },
2263
+ {
2264
+ "epoch": 0.628125,
2265
+ "grad_norm": 1.6074001789093018,
2266
+ "learning_rate": 3.852023270569033e-05,
2267
+ "loss": 0.2746,
2268
+ "step": 201
2269
+ },
2270
+ {
2271
+ "epoch": 0.63125,
2272
+ "grad_norm": 3.736549139022827,
2273
+ "learning_rate": 3.8480116985409306e-05,
2274
+ "loss": 0.7131,
2275
+ "step": 202
2276
+ },
2277
+ {
2278
+ "epoch": 0.634375,
2279
+ "grad_norm": 3.9329938888549805,
2280
+ "learning_rate": 3.843949374634278e-05,
2281
+ "loss": 0.9307,
2282
+ "step": 203
2283
+ },
2284
+ {
2285
+ "epoch": 0.6375,
2286
+ "grad_norm": 3.110591173171997,
2287
+ "learning_rate": 3.839836451793273e-05,
2288
+ "loss": 0.6033,
2289
+ "step": 204
2290
+ },
2291
+ {
2292
+ "epoch": 0.640625,
2293
+ "grad_norm": 3.889007091522217,
2294
+ "learning_rate": 3.8356730848671374e-05,
2295
+ "loss": 0.7203,
2296
+ "step": 205
2297
+ },
2298
+ {
2299
+ "epoch": 0.64375,
2300
+ "grad_norm": 3.2738683223724365,
2301
+ "learning_rate": 3.8314594306042813e-05,
2302
+ "loss": 0.7422,
2303
+ "step": 206
2304
+ },
2305
+ {
2306
+ "epoch": 0.646875,
2307
+ "grad_norm": 3.077531099319458,
2308
+ "learning_rate": 3.827195647646407e-05,
2309
+ "loss": 0.6955,
2310
+ "step": 207
2311
+ },
2312
+ {
2313
+ "epoch": 0.65,
2314
+ "grad_norm": 3.336914539337158,
2315
+ "learning_rate": 3.822881896522533e-05,
2316
+ "loss": 0.7139,
2317
+ "step": 208
2318
+ },
2319
+ {
2320
+ "epoch": 0.653125,
2321
+ "grad_norm": 2.866854429244995,
2322
+ "learning_rate": 3.818518339642951e-05,
2323
+ "loss": 0.4741,
2324
+ "step": 209
2325
+ },
2326
+ {
2327
+ "epoch": 0.65625,
2328
+ "grad_norm": 1.8859411478042603,
2329
+ "learning_rate": 3.81410514129311e-05,
2330
+ "loss": 0.2658,
2331
+ "step": 210
2332
+ },
2333
+ {
2334
+ "epoch": 0.659375,
2335
+ "grad_norm": 2.938387870788574,
2336
+ "learning_rate": 3.809642467627435e-05,
2337
+ "loss": 0.6033,
2338
+ "step": 211
2339
+ },
2340
+ {
2341
+ "epoch": 0.6625,
2342
+ "grad_norm": 3.269779920578003,
2343
+ "learning_rate": 3.805130486663068e-05,
2344
+ "loss": 0.7776,
2345
+ "step": 212
2346
+ },
2347
+ {
2348
+ "epoch": 0.665625,
2349
+ "grad_norm": 2.8948724269866943,
2350
+ "learning_rate": 3.800569368273539e-05,
2351
+ "loss": 0.6791,
2352
+ "step": 213
2353
+ },
2354
+ {
2355
+ "epoch": 0.66875,
2356
+ "grad_norm": 2.962749719619751,
2357
+ "learning_rate": 3.795959284182381e-05,
2358
+ "loss": 0.4367,
2359
+ "step": 214
2360
+ },
2361
+ {
2362
+ "epoch": 0.671875,
2363
+ "grad_norm": 3.2313294410705566,
2364
+ "learning_rate": 3.791300407956651e-05,
2365
+ "loss": 0.7212,
2366
+ "step": 215
2367
+ },
2368
+ {
2369
+ "epoch": 0.675,
2370
+ "grad_norm": 3.182274580001831,
2371
+ "learning_rate": 3.7865929150004086e-05,
2372
+ "loss": 0.7797,
2373
+ "step": 216
2374
+ },
2375
+ {
2376
+ "epoch": 0.678125,
2377
+ "grad_norm": 2.7317817211151123,
2378
+ "learning_rate": 3.781836982548101e-05,
2379
+ "loss": 0.4547,
2380
+ "step": 217
2381
+ },
2382
+ {
2383
+ "epoch": 0.68125,
2384
+ "grad_norm": 3.443126916885376,
2385
+ "learning_rate": 3.777032789657898e-05,
2386
+ "loss": 0.6771,
2387
+ "step": 218
2388
+ },
2389
+ {
2390
+ "epoch": 0.684375,
2391
+ "grad_norm": 2.923877000808716,
2392
+ "learning_rate": 3.772180517204946e-05,
2393
+ "loss": 0.5488,
2394
+ "step": 219
2395
+ },
2396
+ {
2397
+ "epoch": 0.6875,
2398
+ "grad_norm": 2.897601366043091,
2399
+ "learning_rate": 3.767280347874561e-05,
2400
+ "loss": 0.7352,
2401
+ "step": 220
2402
+ },
2403
+ {
2404
+ "epoch": 0.690625,
2405
+ "grad_norm": 4.06088924407959,
2406
+ "learning_rate": 3.762332466155348e-05,
2407
+ "loss": 0.9567,
2408
+ "step": 221
2409
+ },
2410
+ {
2411
+ "epoch": 0.69375,
2412
+ "grad_norm": 2.582475423812866,
2413
+ "learning_rate": 3.7573370583322575e-05,
2414
+ "loss": 0.4274,
2415
+ "step": 222
2416
+ },
2417
+ {
2418
+ "epoch": 0.696875,
2419
+ "grad_norm": 3.7177348136901855,
2420
+ "learning_rate": 3.7522943124795706e-05,
2421
+ "loss": 0.7653,
2422
+ "step": 223
2423
+ },
2424
+ {
2425
+ "epoch": 0.7,
2426
+ "grad_norm": 2.9613823890686035,
2427
+ "learning_rate": 3.7472044184538186e-05,
2428
+ "loss": 0.5672,
2429
+ "step": 224
2430
+ },
2431
+ {
2432
+ "epoch": 0.7,
2433
+ "eval_VitaminC_cosine_accuracy": 0.55859375,
2434
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8318229913711548,
2435
+ "eval_VitaminC_cosine_ap": 0.5483869647391425,
2436
+ "eval_VitaminC_cosine_f1": 0.6657824933687002,
2437
+ "eval_VitaminC_cosine_f1_threshold": 0.2898828089237213,
2438
+ "eval_VitaminC_cosine_precision": 0.4990059642147117,
2439
+ "eval_VitaminC_cosine_recall": 1.0,
2440
+ "eval_VitaminC_dot_accuracy": 0.5546875,
2441
+ "eval_VitaminC_dot_accuracy_threshold": 280.6613464355469,
2442
+ "eval_VitaminC_dot_ap": 0.5352389087249884,
2443
+ "eval_VitaminC_dot_f1": 0.6666666666666667,
2444
+ "eval_VitaminC_dot_f1_threshold": 127.79656982421875,
2445
+ "eval_VitaminC_dot_precision": 0.501002004008016,
2446
+ "eval_VitaminC_dot_recall": 0.9960159362549801,
2447
+ "eval_VitaminC_euclidean_accuracy": 0.556640625,
2448
+ "eval_VitaminC_euclidean_accuracy_threshold": 15.362771987915039,
2449
+ "eval_VitaminC_euclidean_ap": 0.5487471191186046,
2450
+ "eval_VitaminC_euclidean_f1": 0.6657789613848203,
2451
+ "eval_VitaminC_euclidean_f1_threshold": 23.0285587310791,
2452
+ "eval_VitaminC_euclidean_precision": 0.5,
2453
+ "eval_VitaminC_euclidean_recall": 0.9960159362549801,
2454
+ "eval_VitaminC_manhattan_accuracy": 0.556640625,
2455
+ "eval_VitaminC_manhattan_accuracy_threshold": 304.9786376953125,
2456
+ "eval_VitaminC_manhattan_ap": 0.5448852224007886,
2457
+ "eval_VitaminC_manhattan_f1": 0.6657824933687002,
2458
+ "eval_VitaminC_manhattan_f1_threshold": 503.7974548339844,
2459
+ "eval_VitaminC_manhattan_precision": 0.4990059642147117,
2460
+ "eval_VitaminC_manhattan_recall": 1.0,
2461
+ "eval_VitaminC_max_accuracy": 0.55859375,
2462
+ "eval_VitaminC_max_accuracy_threshold": 304.9786376953125,
2463
+ "eval_VitaminC_max_ap": 0.5487471191186046,
2464
+ "eval_VitaminC_max_f1": 0.6666666666666667,
2465
+ "eval_VitaminC_max_f1_threshold": 503.7974548339844,
2466
+ "eval_VitaminC_max_precision": 0.501002004008016,
2467
+ "eval_VitaminC_max_recall": 1.0,
2468
+ "eval_sequential_score": 0.5487471191186046,
2469
+ "eval_sts-test_pearson_cosine": 0.8727242216490746,
2470
+ "eval_sts-test_pearson_dot": 0.8620679649117718,
2471
+ "eval_sts-test_pearson_euclidean": 0.8961291746213003,
2472
+ "eval_sts-test_pearson_manhattan": 0.8961616445842001,
2473
+ "eval_sts-test_pearson_max": 0.8961616445842001,
2474
+ "eval_sts-test_spearman_cosine": 0.9004602237727143,
2475
+ "eval_sts-test_spearman_dot": 0.8617584826474656,
2476
+ "eval_sts-test_spearman_euclidean": 0.8945701970021624,
2477
+ "eval_sts-test_spearman_manhattan": 0.8942019836234342,
2478
+ "eval_sts-test_spearman_max": 0.9004602237727143,
2479
+ "eval_vitaminc-pairs_loss": 2.07513689994812,
2480
+ "eval_vitaminc-pairs_runtime": 1.8489,
2481
+ "eval_vitaminc-pairs_samples_per_second": 58.414,
2482
+ "eval_vitaminc-pairs_steps_per_second": 1.082,
2483
+ "step": 224
2484
+ },
2485
+ {
2486
+ "epoch": 0.7,
2487
+ "eval_negation-triplets_loss": 0.7822766900062561,
2488
+ "eval_negation-triplets_runtime": 0.2948,
2489
+ "eval_negation-triplets_samples_per_second": 217.093,
2490
+ "eval_negation-triplets_steps_per_second": 3.392,
2491
+ "step": 224
2492
+ },
2493
+ {
2494
+ "epoch": 0.7,
2495
+ "eval_scitail-pairs-pos_loss": 0.084584079682827,
2496
+ "eval_scitail-pairs-pos_runtime": 0.365,
2497
+ "eval_scitail-pairs-pos_samples_per_second": 147.944,
2498
+ "eval_scitail-pairs-pos_steps_per_second": 2.74,
2499
+ "step": 224
2500
+ },
2501
+ {
2502
+ "epoch": 0.7,
2503
+ "eval_xsum-pairs_loss": 0.05927089601755142,
2504
+ "eval_xsum-pairs_runtime": 2.8461,
2505
+ "eval_xsum-pairs_samples_per_second": 44.974,
2506
+ "eval_xsum-pairs_steps_per_second": 0.703,
2507
+ "step": 224
2508
+ },
2509
+ {
2510
+ "epoch": 0.7,
2511
+ "eval_sciq_pairs_loss": 0.019030971452593803,
2512
+ "eval_sciq_pairs_runtime": 3.6465,
2513
+ "eval_sciq_pairs_samples_per_second": 35.102,
2514
+ "eval_sciq_pairs_steps_per_second": 0.548,
2515
+ "step": 224
2516
+ },
2517
+ {
2518
+ "epoch": 0.7,
2519
+ "eval_qasc_pairs_loss": 0.12519867718219757,
2520
+ "eval_qasc_pairs_runtime": 0.6003,
2521
+ "eval_qasc_pairs_samples_per_second": 213.235,
2522
+ "eval_qasc_pairs_steps_per_second": 3.332,
2523
+ "step": 224
2524
+ },
2525
+ {
2526
+ "epoch": 0.7,
2527
+ "eval_openbookqa_pairs_loss": 0.7141773700714111,
2528
+ "eval_openbookqa_pairs_runtime": 0.5753,
2529
+ "eval_openbookqa_pairs_samples_per_second": 222.508,
2530
+ "eval_openbookqa_pairs_steps_per_second": 3.477,
2531
+ "step": 224
2532
+ },
2533
+ {
2534
+ "epoch": 0.7,
2535
+ "eval_msmarco_pairs_loss": 0.3040487468242645,
2536
+ "eval_msmarco_pairs_runtime": 1.4648,
2537
+ "eval_msmarco_pairs_samples_per_second": 87.383,
2538
+ "eval_msmarco_pairs_steps_per_second": 1.365,
2539
+ "step": 224
2540
+ },
2541
+ {
2542
+ "epoch": 0.7,
2543
+ "eval_nq_pairs_loss": 0.1808711141347885,
2544
+ "eval_nq_pairs_runtime": 2.8595,
2545
+ "eval_nq_pairs_samples_per_second": 44.764,
2546
+ "eval_nq_pairs_steps_per_second": 0.699,
2547
+ "step": 224
2548
+ },
2549
+ {
2550
+ "epoch": 0.7,
2551
+ "eval_trivia_pairs_loss": 0.7160522937774658,
2552
+ "eval_trivia_pairs_runtime": 4.3875,
2553
+ "eval_trivia_pairs_samples_per_second": 29.174,
2554
+ "eval_trivia_pairs_steps_per_second": 0.456,
2555
+ "step": 224
2556
+ },
2557
+ {
2558
+ "epoch": 0.7,
2559
+ "eval_gooaq_pairs_loss": 0.3398577868938446,
2560
+ "eval_gooaq_pairs_runtime": 1.0189,
2561
+ "eval_gooaq_pairs_samples_per_second": 125.631,
2562
+ "eval_gooaq_pairs_steps_per_second": 1.963,
2563
+ "step": 224
2564
+ },
2565
+ {
2566
+ "epoch": 0.7,
2567
+ "eval_paws-pos_loss": 0.0250654686242342,
2568
+ "eval_paws-pos_runtime": 0.6965,
2569
+ "eval_paws-pos_samples_per_second": 183.765,
2570
+ "eval_paws-pos_steps_per_second": 2.871,
2571
+ "step": 224
2572
+ },
2573
+ {
2574
+ "epoch": 0.703125,
2575
+ "grad_norm": 2.7675271034240723,
2576
+ "learning_rate": 3.742067567886634e-05,
2577
+ "loss": 0.6116,
2578
+ "step": 225
2579
+ },
2580
+ {
2581
+ "epoch": 0.70625,
2582
+ "grad_norm": 3.1136417388916016,
2583
+ "learning_rate": 3.7368839541775386e-05,
2584
+ "loss": 0.6484,
2585
+ "step": 226
2586
+ },
2587
+ {
2588
+ "epoch": 0.709375,
2589
+ "grad_norm": 3.1425583362579346,
2590
+ "learning_rate": 3.731653772486657e-05,
2591
+ "loss": 0.669,
2592
+ "step": 227
2593
+ },
2594
+ {
2595
+ "epoch": 0.7125,
2596
+ "grad_norm": 1.8860105276107788,
2597
+ "learning_rate": 3.726377219727376e-05,
2598
+ "loss": 0.263,
2599
+ "step": 228
2600
+ },
2601
+ {
2602
+ "epoch": 0.715625,
2603
+ "grad_norm": 2.6990439891815186,
2604
+ "learning_rate": 3.721054494558923e-05,
2605
+ "loss": 0.6181,
2606
+ "step": 229
2607
+ },
2608
+ {
2609
+ "epoch": 0.71875,
2610
+ "grad_norm": 3.836609363555908,
2611
+ "learning_rate": 3.7156857973788926e-05,
2612
+ "loss": 0.8956,
2613
+ "step": 230
2614
+ },
2615
+ {
2616
+ "epoch": 0.721875,
2617
+ "grad_norm": 3.0837268829345703,
2618
+ "learning_rate": 3.710271330315699e-05,
2619
+ "loss": 0.5363,
2620
+ "step": 231
2621
+ },
2622
+ {
2623
+ "epoch": 0.725,
2624
+ "grad_norm": 3.639112710952759,
2625
+ "learning_rate": 3.704811297220967e-05,
2626
+ "loss": 0.823,
2627
+ "step": 232
2628
+ },
2629
+ {
2630
+ "epoch": 0.728125,
2631
+ "grad_norm": 3.301112651824951,
2632
+ "learning_rate": 3.699305903661858e-05,
2633
+ "loss": 0.7795,
2634
+ "step": 233
2635
+ },
2636
+ {
2637
+ "epoch": 0.73125,
2638
+ "grad_norm": 2.289018154144287,
2639
+ "learning_rate": 3.693755356913326e-05,
2640
+ "loss": 0.3688,
2641
+ "step": 234
2642
+ },
2643
+ {
2644
+ "epoch": 0.734375,
2645
+ "grad_norm": 2.259490966796875,
2646
+ "learning_rate": 3.688159865950319e-05,
2647
+ "loss": 0.3835,
2648
+ "step": 235
2649
+ },
2650
+ {
2651
+ "epoch": 0.7375,
2652
+ "grad_norm": 2.2043821811676025,
2653
+ "learning_rate": 3.6825196414399096e-05,
2654
+ "loss": 0.3393,
2655
+ "step": 236
2656
+ },
2657
+ {
2658
+ "epoch": 0.740625,
2659
+ "grad_norm": 2.6866259574890137,
2660
+ "learning_rate": 3.6768348957333635e-05,
2661
+ "loss": 0.4792,
2662
+ "step": 237
2663
+ },
2664
+ {
2665
+ "epoch": 0.74375,
2666
+ "grad_norm": 2.561917304992676,
2667
+ "learning_rate": 3.671105842858142e-05,
2668
+ "loss": 0.3966,
2669
+ "step": 238
2670
+ },
2671
+ {
2672
+ "epoch": 0.746875,
2673
+ "grad_norm": 2.1512343883514404,
2674
+ "learning_rate": 3.6653326985098486e-05,
2675
+ "loss": 0.2902,
2676
+ "step": 239
2677
+ },
2678
+ {
2679
+ "epoch": 0.75,
2680
+ "grad_norm": 3.7423007488250732,
2681
+ "learning_rate": 3.659515680044106e-05,
2682
+ "loss": 0.6716,
2683
+ "step": 240
2684
+ },
2685
+ {
2686
+ "epoch": 0.753125,
2687
+ "grad_norm": 2.6502630710601807,
2688
+ "learning_rate": 3.65365500646837e-05,
2689
+ "loss": 0.6783,
2690
+ "step": 241
2691
+ },
2692
+ {
2693
+ "epoch": 0.75625,
2694
+ "grad_norm": 2.8291828632354736,
2695
+ "learning_rate": 3.6477508984336886e-05,
2696
+ "loss": 0.4794,
2697
+ "step": 242
2698
+ },
2699
+ {
2700
+ "epoch": 0.759375,
2701
+ "grad_norm": 3.7910561561584473,
2702
+ "learning_rate": 3.641803578226393e-05,
2703
+ "loss": 0.8283,
2704
+ "step": 243
2705
+ },
2706
+ {
2707
+ "epoch": 0.7625,
2708
+ "grad_norm": 3.3968613147735596,
2709
+ "learning_rate": 3.635813269759727e-05,
2710
+ "loss": 0.6875,
2711
+ "step": 244
2712
+ },
2713
+ {
2714
+ "epoch": 0.765625,
2715
+ "grad_norm": 3.5861093997955322,
2716
+ "learning_rate": 3.629780198565419e-05,
2717
+ "loss": 0.8384,
2718
+ "step": 245
2719
+ },
2720
+ {
2721
+ "epoch": 0.76875,
2722
+ "grad_norm": 2.709362030029297,
2723
+ "learning_rate": 3.623704591785189e-05,
2724
+ "loss": 0.5796,
2725
+ "step": 246
2726
+ },
2727
+ {
2728
+ "epoch": 0.771875,
2729
+ "grad_norm": 2.5690431594848633,
2730
+ "learning_rate": 3.6175866781622e-05,
2731
+ "loss": 0.6206,
2732
+ "step": 247
2733
+ },
2734
+ {
2735
+ "epoch": 0.775,
2736
+ "grad_norm": 3.5460782051086426,
2737
+ "learning_rate": 3.611426688032439e-05,
2738
+ "loss": 0.7836,
2739
+ "step": 248
2740
+ },
2741
+ {
2742
+ "epoch": 0.778125,
2743
+ "grad_norm": 2.9132962226867676,
2744
+ "learning_rate": 3.605224853316055e-05,
2745
+ "loss": 0.615,
2746
+ "step": 249
2747
+ },
2748
+ {
2749
+ "epoch": 0.78125,
2750
+ "grad_norm": 2.707908868789673,
2751
+ "learning_rate": 3.5989814075086195e-05,
2752
+ "loss": 0.433,
2753
+ "step": 250
2754
+ },
2755
+ {
2756
+ "epoch": 0.784375,
2757
+ "grad_norm": 3.2124290466308594,
2758
+ "learning_rate": 3.592696585672338e-05,
2759
+ "loss": 0.7394,
2760
+ "step": 251
2761
+ },
2762
+ {
2763
+ "epoch": 0.7875,
2764
+ "grad_norm": 1.3290472030639648,
2765
+ "learning_rate": 3.5863706244272006e-05,
2766
+ "loss": 0.1203,
2767
+ "step": 252
2768
+ },
2769
+ {
2770
+ "epoch": 0.790625,
2771
+ "grad_norm": 3.5975258350372314,
2772
+ "learning_rate": 3.580003761942073e-05,
2773
+ "loss": 1.0909,
2774
+ "step": 253
2775
+ },
2776
+ {
2777
+ "epoch": 0.79375,
2778
+ "grad_norm": 3.1402907371520996,
2779
+ "learning_rate": 3.573596237925728e-05,
2780
+ "loss": 0.7107,
2781
+ "step": 254
2782
+ },
2783
+ {
2784
+ "epoch": 0.796875,
2785
+ "grad_norm": 2.1686770915985107,
2786
+ "learning_rate": 3.567148293617825e-05,
2787
+ "loss": 0.3464,
2788
+ "step": 255
2789
+ },
2790
+ {
2791
+ "epoch": 0.8,
2792
+ "grad_norm": 4.112154960632324,
2793
+ "learning_rate": 3.560660171779821e-05,
2794
+ "loss": 0.9347,
2795
+ "step": 256
2796
+ },
2797
+ {
2798
+ "epoch": 0.8,
2799
+ "eval_VitaminC_cosine_accuracy": 0.560546875,
2800
+ "eval_VitaminC_cosine_accuracy_threshold": 0.825050950050354,
2801
+ "eval_VitaminC_cosine_ap": 0.5480281823929228,
2802
+ "eval_VitaminC_cosine_f1": 0.6666666666666667,
2803
+ "eval_VitaminC_cosine_f1_threshold": 0.39935123920440674,
2804
+ "eval_VitaminC_cosine_precision": 0.501002004008016,
2805
+ "eval_VitaminC_cosine_recall": 0.9960159362549801,
2806
+ "eval_VitaminC_dot_accuracy": 0.552734375,
2807
+ "eval_VitaminC_dot_accuracy_threshold": 313.59075927734375,
2808
+ "eval_VitaminC_dot_ap": 0.5329984665726657,
2809
+ "eval_VitaminC_dot_f1": 0.6657789613848203,
2810
+ "eval_VitaminC_dot_f1_threshold": 132.71243286132812,
2811
+ "eval_VitaminC_dot_precision": 0.5,
2812
+ "eval_VitaminC_dot_recall": 0.9960159362549801,
2813
+ "eval_VitaminC_euclidean_accuracy": 0.556640625,
2814
+ "eval_VitaminC_euclidean_accuracy_threshold": 11.227453231811523,
2815
+ "eval_VitaminC_euclidean_ap": 0.5496569156706412,
2816
+ "eval_VitaminC_euclidean_f1": 0.6666666666666666,
2817
+ "eval_VitaminC_euclidean_f1_threshold": 22.6641788482666,
2818
+ "eval_VitaminC_euclidean_precision": 0.5,
2819
+ "eval_VitaminC_euclidean_recall": 1.0,
2820
+ "eval_VitaminC_manhattan_accuracy": 0.5546875,
2821
+ "eval_VitaminC_manhattan_accuracy_threshold": 230.89329528808594,
2822
+ "eval_VitaminC_manhattan_ap": 0.545699310794812,
2823
+ "eval_VitaminC_manhattan_f1": 0.6657824933687002,
2824
+ "eval_VitaminC_manhattan_f1_threshold": 483.625244140625,
2825
+ "eval_VitaminC_manhattan_precision": 0.4990059642147117,
2826
+ "eval_VitaminC_manhattan_recall": 1.0,
2827
+ "eval_VitaminC_max_accuracy": 0.560546875,
2828
+ "eval_VitaminC_max_accuracy_threshold": 313.59075927734375,
2829
+ "eval_VitaminC_max_ap": 0.5496569156706412,
2830
+ "eval_VitaminC_max_f1": 0.6666666666666667,
2831
+ "eval_VitaminC_max_f1_threshold": 483.625244140625,
2832
+ "eval_VitaminC_max_precision": 0.501002004008016,
2833
+ "eval_VitaminC_max_recall": 1.0,
2834
+ "eval_sequential_score": 0.5496569156706412,
2835
+ "eval_sts-test_pearson_cosine": 0.8711436629553765,
2836
+ "eval_sts-test_pearson_dot": 0.859333025320038,
2837
+ "eval_sts-test_pearson_euclidean": 0.8967955144362856,
2838
+ "eval_sts-test_pearson_manhattan": 0.8972988934332646,
2839
+ "eval_sts-test_pearson_max": 0.8972988934332646,
2840
+ "eval_sts-test_spearman_cosine": 0.8987000224084064,
2841
+ "eval_sts-test_spearman_dot": 0.8599958647150425,
2842
+ "eval_sts-test_spearman_euclidean": 0.8935259263175941,
2843
+ "eval_sts-test_spearman_manhattan": 0.8939636384052635,
2844
+ "eval_sts-test_spearman_max": 0.8987000224084064,
2845
+ "eval_vitaminc-pairs_loss": 2.0033843517303467,
2846
+ "eval_vitaminc-pairs_runtime": 1.8717,
2847
+ "eval_vitaminc-pairs_samples_per_second": 57.701,
2848
+ "eval_vitaminc-pairs_steps_per_second": 1.069,
2849
+ "step": 256
2850
+ },
2851
+ {
2852
+ "epoch": 0.8,
2853
+ "eval_negation-triplets_loss": 0.7500894069671631,
2854
+ "eval_negation-triplets_runtime": 0.2995,
2855
+ "eval_negation-triplets_samples_per_second": 213.659,
2856
+ "eval_negation-triplets_steps_per_second": 3.338,
2857
+ "step": 256
2858
+ },
2859
+ {
2860
+ "epoch": 0.8,
2861
+ "eval_scitail-pairs-pos_loss": 0.07255758345127106,
2862
+ "eval_scitail-pairs-pos_runtime": 0.386,
2863
+ "eval_scitail-pairs-pos_samples_per_second": 139.883,
2864
+ "eval_scitail-pairs-pos_steps_per_second": 2.59,
2865
+ "step": 256
2866
+ },
2867
+ {
2868
+ "epoch": 0.8,
2869
+ "eval_xsum-pairs_loss": 0.056476954370737076,
2870
+ "eval_xsum-pairs_runtime": 2.8548,
2871
+ "eval_xsum-pairs_samples_per_second": 44.837,
2872
+ "eval_xsum-pairs_steps_per_second": 0.701,
2873
+ "step": 256
2874
+ },
2875
+ {
2876
+ "epoch": 0.8,
2877
+ "eval_sciq_pairs_loss": 0.01967025361955166,
2878
+ "eval_sciq_pairs_runtime": 3.7336,
2879
+ "eval_sciq_pairs_samples_per_second": 34.283,
2880
+ "eval_sciq_pairs_steps_per_second": 0.536,
2881
+ "step": 256
2882
+ },
2883
+ {
2884
+ "epoch": 0.8,
2885
+ "eval_qasc_pairs_loss": 0.1263607293367386,
2886
+ "eval_qasc_pairs_runtime": 0.6107,
2887
+ "eval_qasc_pairs_samples_per_second": 209.594,
2888
+ "eval_qasc_pairs_steps_per_second": 3.275,
2889
+ "step": 256
2890
+ },
2891
+ {
2892
+ "epoch": 0.8,
2893
+ "eval_openbookqa_pairs_loss": 0.7773354649543762,
2894
+ "eval_openbookqa_pairs_runtime": 0.5903,
2895
+ "eval_openbookqa_pairs_samples_per_second": 216.831,
2896
+ "eval_openbookqa_pairs_steps_per_second": 3.388,
2897
+ "step": 256
2898
+ },
2899
+ {
2900
+ "epoch": 0.8,
2901
+ "eval_msmarco_pairs_loss": 0.2844376862049103,
2902
+ "eval_msmarco_pairs_runtime": 1.4722,
2903
+ "eval_msmarco_pairs_samples_per_second": 86.947,
2904
+ "eval_msmarco_pairs_steps_per_second": 1.359,
2905
+ "step": 256
2906
+ },
2907
+ {
2908
+ "epoch": 0.8,
2909
+ "eval_nq_pairs_loss": 0.17289823293685913,
2910
+ "eval_nq_pairs_runtime": 2.8665,
2911
+ "eval_nq_pairs_samples_per_second": 44.654,
2912
+ "eval_nq_pairs_steps_per_second": 0.698,
2913
+ "step": 256
2914
+ },
2915
+ {
2916
+ "epoch": 0.8,
2917
+ "eval_trivia_pairs_loss": 0.6546728610992432,
2918
+ "eval_trivia_pairs_runtime": 4.3994,
2919
+ "eval_trivia_pairs_samples_per_second": 29.095,
2920
+ "eval_trivia_pairs_steps_per_second": 0.455,
2921
+ "step": 256
2922
+ },
2923
+ {
2924
+ "epoch": 0.8,
2925
+ "eval_gooaq_pairs_loss": 0.31546029448509216,
2926
+ "eval_gooaq_pairs_runtime": 1.0423,
2927
+ "eval_gooaq_pairs_samples_per_second": 122.802,
2928
+ "eval_gooaq_pairs_steps_per_second": 1.919,
2929
+ "step": 256
2930
+ },
2931
+ {
2932
+ "epoch": 0.8,
2933
+ "eval_paws-pos_loss": 0.02565235085785389,
2934
+ "eval_paws-pos_runtime": 0.6999,
2935
+ "eval_paws-pos_samples_per_second": 182.88,
2936
+ "eval_paws-pos_steps_per_second": 2.857,
2937
+ "step": 256
2938
+ }
2939
+ ],
2940
+ "logging_steps": 1,
2941
+ "max_steps": 640,
2942
+ "num_input_tokens_seen": 0,
2943
+ "num_train_epochs": 2,
2944
+ "save_steps": 64,
2945
+ "stateful_callbacks": {
2946
+ "TrainerControl": {
2947
+ "args": {
2948
+ "should_epoch_stop": false,
2949
+ "should_evaluate": false,
2950
+ "should_log": false,
2951
+ "should_save": true,
2952
+ "should_training_stop": false
2953
+ },
2954
+ "attributes": {}
2955
+ }
2956
+ },
2957
+ "total_flos": 0.0,
2958
+ "train_batch_size": 320,
2959
+ "trial_name": null,
2960
+ "trial_params": null
2961
+ }
checkpoint-256/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffe6f56833ae1db889da47aa19784a25c77bb02e655bcfee55cb3e0df77d35b1
3
+ size 5688