Training in progress, step 214, checkpoint
Browse files- checkpoint-214/1_Pooling/config.json +10 -0
- checkpoint-214/README.md +0 -0
- checkpoint-214/added_tokens.json +3 -0
- checkpoint-214/config.json +35 -0
- checkpoint-214/config_sentence_transformers.json +10 -0
- checkpoint-214/modules.json +14 -0
- checkpoint-214/optimizer.pt +3 -0
- checkpoint-214/pytorch_model.bin +3 -0
- checkpoint-214/rng_state.pth +3 -0
- checkpoint-214/scheduler.pt +3 -0
- checkpoint-214/sentence_bert_config.json +4 -0
- checkpoint-214/special_tokens_map.json +15 -0
- checkpoint-214/spm.model +3 -0
- checkpoint-214/tokenizer.json +0 -0
- checkpoint-214/tokenizer_config.json +58 -0
- checkpoint-214/trainer_state.json +1559 -0
- checkpoint-214/training_args.bin +3 -0
checkpoint-214/1_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-214/README.md
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-214/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-214/config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/deberta-v3-small",
|
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-214/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-214/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-214/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:52c905c776e5ae71066e2801101078aabbec9b5878ff9fd90c19897056191b45
|
3 |
+
size 1130520122
|
checkpoint-214/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ddba6327b1a377cfdcef6125292be85fa16e40cb025172fd1e124afb94b69984
|
3 |
+
size 565251810
|
checkpoint-214/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c970bca00c34ca2adef33f13d94cd397d493fc8e23507c794e76d9ad3a07652
|
3 |
+
size 14244
|
checkpoint-214/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7306392a8e5051864ce8e84fe594d9ecbfcfe132886d49eb79d53d8d1b602099
|
3 |
+
size 1064
|
checkpoint-214/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-214/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
checkpoint-214/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-214/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-214/tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 1000000000000000019884624838656,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"sp_model_kwargs": {},
|
54 |
+
"split_by_punct": false,
|
55 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
56 |
+
"unk_token": "[UNK]",
|
57 |
+
"vocab_type": "spm"
|
58 |
+
}
|
checkpoint-214/trainer_state.json
ADDED
@@ -0,0 +1,1559 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.2081863091037404,
|
5 |
+
"eval_steps": 27,
|
6 |
+
"global_step": 214,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.016937191249117856,
|
13 |
+
"grad_norm": 34.22002029418945,
|
14 |
+
"learning_rate": 6.818181818181818e-07,
|
15 |
+
"loss": 7.2372,
|
16 |
+
"step": 3
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03387438249823571,
|
20 |
+
"grad_norm": 21.76839828491211,
|
21 |
+
"learning_rate": 1.3636363636363636e-06,
|
22 |
+
"loss": 6.855,
|
23 |
+
"step": 6
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05081157374735357,
|
27 |
+
"grad_norm": 21.260774612426758,
|
28 |
+
"learning_rate": 2.0454545454545457e-06,
|
29 |
+
"loss": 7.4707,
|
30 |
+
"step": 9
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.06774876499647142,
|
34 |
+
"grad_norm": 16.885921478271484,
|
35 |
+
"learning_rate": 2.7272727272727272e-06,
|
36 |
+
"loss": 7.0187,
|
37 |
+
"step": 12
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.08468595624558928,
|
41 |
+
"grad_norm": 19.509899139404297,
|
42 |
+
"learning_rate": 3.409090909090909e-06,
|
43 |
+
"loss": 6.6756,
|
44 |
+
"step": 15
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.10162314749470713,
|
48 |
+
"grad_norm": 7.9427289962768555,
|
49 |
+
"learning_rate": 4.0909090909090915e-06,
|
50 |
+
"loss": 6.0155,
|
51 |
+
"step": 18
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.11856033874382499,
|
55 |
+
"grad_norm": 7.325345039367676,
|
56 |
+
"learning_rate": 4.772727272727273e-06,
|
57 |
+
"loss": 6.1644,
|
58 |
+
"step": 21
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.13549752999294284,
|
62 |
+
"grad_norm": 7.544689655303955,
|
63 |
+
"learning_rate": 5.4545454545454545e-06,
|
64 |
+
"loss": 6.2158,
|
65 |
+
"step": 24
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1524347212420607,
|
69 |
+
"grad_norm": 5.141758918762207,
|
70 |
+
"learning_rate": 6.136363636363637e-06,
|
71 |
+
"loss": 6.1369,
|
72 |
+
"step": 27
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.1524347212420607,
|
76 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
77 |
+
"eval_NLI-v2_dot_accuracy": 0.109375,
|
78 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
79 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
80 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
81 |
+
"eval_VitaminC_cosine_accuracy": 0.5546875,
|
82 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.9544724822044373,
|
83 |
+
"eval_VitaminC_cosine_ap": 0.5356492030729136,
|
84 |
+
"eval_VitaminC_cosine_f1": 0.6542553191489362,
|
85 |
+
"eval_VitaminC_cosine_f1_threshold": 0.7148199081420898,
|
86 |
+
"eval_VitaminC_cosine_precision": 0.48616600790513836,
|
87 |
+
"eval_VitaminC_cosine_recall": 1.0,
|
88 |
+
"eval_VitaminC_dot_accuracy": 0.55078125,
|
89 |
+
"eval_VitaminC_dot_accuracy_threshold": 414.4264831542969,
|
90 |
+
"eval_VitaminC_dot_ap": 0.5108219546857565,
|
91 |
+
"eval_VitaminC_dot_f1": 0.6507936507936508,
|
92 |
+
"eval_VitaminC_dot_f1_threshold": 271.6522521972656,
|
93 |
+
"eval_VitaminC_dot_precision": 0.4823529411764706,
|
94 |
+
"eval_VitaminC_dot_recall": 1.0,
|
95 |
+
"eval_VitaminC_euclidean_accuracy": 0.55078125,
|
96 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 6.519885063171387,
|
97 |
+
"eval_VitaminC_euclidean_ap": 0.5226419655984281,
|
98 |
+
"eval_VitaminC_euclidean_f1": 0.6505376344086021,
|
99 |
+
"eval_VitaminC_euclidean_f1_threshold": 15.194067001342773,
|
100 |
+
"eval_VitaminC_euclidean_precision": 0.4859437751004016,
|
101 |
+
"eval_VitaminC_euclidean_recall": 0.983739837398374,
|
102 |
+
"eval_VitaminC_manhattan_accuracy": 0.546875,
|
103 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 149.20114135742188,
|
104 |
+
"eval_VitaminC_manhattan_ap": 0.5237451656134715,
|
105 |
+
"eval_VitaminC_manhattan_f1": 0.6542553191489362,
|
106 |
+
"eval_VitaminC_manhattan_f1_threshold": 259.007080078125,
|
107 |
+
"eval_VitaminC_manhattan_precision": 0.48616600790513836,
|
108 |
+
"eval_VitaminC_manhattan_recall": 1.0,
|
109 |
+
"eval_VitaminC_max_accuracy": 0.5546875,
|
110 |
+
"eval_VitaminC_max_accuracy_threshold": 414.4264831542969,
|
111 |
+
"eval_VitaminC_max_ap": 0.5356492030729136,
|
112 |
+
"eval_VitaminC_max_f1": 0.6542553191489362,
|
113 |
+
"eval_VitaminC_max_f1_threshold": 271.6522521972656,
|
114 |
+
"eval_VitaminC_max_precision": 0.48616600790513836,
|
115 |
+
"eval_VitaminC_max_recall": 1.0,
|
116 |
+
"eval_sequential_score": 0.5356492030729136,
|
117 |
+
"eval_sts-test_pearson_cosine": 0.056062031998983373,
|
118 |
+
"eval_sts-test_pearson_dot": 0.2979259445723872,
|
119 |
+
"eval_sts-test_pearson_euclidean": 0.0498319208592713,
|
120 |
+
"eval_sts-test_pearson_manhattan": 0.07381429239121526,
|
121 |
+
"eval_sts-test_pearson_max": 0.2979259445723872,
|
122 |
+
"eval_sts-test_spearman_cosine": 0.1066788491614481,
|
123 |
+
"eval_sts-test_spearman_dot": 0.315952670306405,
|
124 |
+
"eval_sts-test_spearman_euclidean": 0.07303394554435191,
|
125 |
+
"eval_sts-test_spearman_manhattan": 0.09039525717692232,
|
126 |
+
"eval_sts-test_spearman_max": 0.315952670306405,
|
127 |
+
"eval_vitaminc-pairs_loss": 2.698580741882324,
|
128 |
+
"eval_vitaminc-pairs_runtime": 1.4747,
|
129 |
+
"eval_vitaminc-pairs_samples_per_second": 73.236,
|
130 |
+
"eval_vitaminc-pairs_steps_per_second": 1.356,
|
131 |
+
"step": 27
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.1524347212420607,
|
135 |
+
"eval_negation-triplets_loss": 5.142906665802002,
|
136 |
+
"eval_negation-triplets_runtime": 0.2993,
|
137 |
+
"eval_negation-triplets_samples_per_second": 213.865,
|
138 |
+
"eval_negation-triplets_steps_per_second": 3.342,
|
139 |
+
"step": 27
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 0.1524347212420607,
|
143 |
+
"eval_scitail-pairs-pos_loss": 1.9216958284378052,
|
144 |
+
"eval_scitail-pairs-pos_runtime": 0.3834,
|
145 |
+
"eval_scitail-pairs-pos_samples_per_second": 140.842,
|
146 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.608,
|
147 |
+
"step": 27
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.1524347212420607,
|
151 |
+
"eval_xsum-pairs_loss": 6.073049545288086,
|
152 |
+
"eval_xsum-pairs_runtime": 3.1587,
|
153 |
+
"eval_xsum-pairs_samples_per_second": 40.523,
|
154 |
+
"eval_xsum-pairs_steps_per_second": 0.633,
|
155 |
+
"step": 27
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.1524347212420607,
|
159 |
+
"eval_sciq_pairs_loss": 0.3449864387512207,
|
160 |
+
"eval_sciq_pairs_runtime": 3.3747,
|
161 |
+
"eval_sciq_pairs_samples_per_second": 37.93,
|
162 |
+
"eval_sciq_pairs_steps_per_second": 0.593,
|
163 |
+
"step": 27
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1524347212420607,
|
167 |
+
"eval_qasc_pairs_loss": 3.2267842292785645,
|
168 |
+
"eval_qasc_pairs_runtime": 0.6576,
|
169 |
+
"eval_qasc_pairs_samples_per_second": 194.646,
|
170 |
+
"eval_qasc_pairs_steps_per_second": 3.041,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.1524347212420607,
|
175 |
+
"eval_openbookqa_pairs_loss": 4.405983924865723,
|
176 |
+
"eval_openbookqa_pairs_runtime": 0.6107,
|
177 |
+
"eval_openbookqa_pairs_samples_per_second": 209.594,
|
178 |
+
"eval_openbookqa_pairs_steps_per_second": 3.275,
|
179 |
+
"step": 27
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.1524347212420607,
|
183 |
+
"eval_msmarco_pairs_loss": 6.937691688537598,
|
184 |
+
"eval_msmarco_pairs_runtime": 1.3091,
|
185 |
+
"eval_msmarco_pairs_samples_per_second": 97.779,
|
186 |
+
"eval_msmarco_pairs_steps_per_second": 1.528,
|
187 |
+
"step": 27
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 0.1524347212420607,
|
191 |
+
"eval_nq_pairs_loss": 6.794108867645264,
|
192 |
+
"eval_nq_pairs_runtime": 2.3968,
|
193 |
+
"eval_nq_pairs_samples_per_second": 53.404,
|
194 |
+
"eval_nq_pairs_steps_per_second": 0.834,
|
195 |
+
"step": 27
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.1524347212420607,
|
199 |
+
"eval_trivia_pairs_loss": 6.3355631828308105,
|
200 |
+
"eval_trivia_pairs_runtime": 4.4974,
|
201 |
+
"eval_trivia_pairs_samples_per_second": 28.461,
|
202 |
+
"eval_trivia_pairs_steps_per_second": 0.445,
|
203 |
+
"step": 27
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.1524347212420607,
|
207 |
+
"eval_gooaq_pairs_loss": 6.405998706817627,
|
208 |
+
"eval_gooaq_pairs_runtime": 0.8745,
|
209 |
+
"eval_gooaq_pairs_samples_per_second": 146.37,
|
210 |
+
"eval_gooaq_pairs_steps_per_second": 2.287,
|
211 |
+
"step": 27
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.1524347212420607,
|
215 |
+
"eval_paws-pos_loss": 2.2308223247528076,
|
216 |
+
"eval_paws-pos_runtime": 0.6998,
|
217 |
+
"eval_paws-pos_samples_per_second": 182.908,
|
218 |
+
"eval_paws-pos_steps_per_second": 2.858,
|
219 |
+
"step": 27
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.16937191249117856,
|
223 |
+
"grad_norm": 5.885251522064209,
|
224 |
+
"learning_rate": 6.818181818181818e-06,
|
225 |
+
"loss": 5.7653,
|
226 |
+
"step": 30
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.1863091037402964,
|
230 |
+
"grad_norm": 7.357480049133301,
|
231 |
+
"learning_rate": 7.500000000000001e-06,
|
232 |
+
"loss": 6.1259,
|
233 |
+
"step": 33
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.20324629498941427,
|
237 |
+
"grad_norm": 7.321795463562012,
|
238 |
+
"learning_rate": 8.181818181818183e-06,
|
239 |
+
"loss": 5.7539,
|
240 |
+
"step": 36
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.22018348623853212,
|
244 |
+
"grad_norm": 4.239792346954346,
|
245 |
+
"learning_rate": 8.863636363636365e-06,
|
246 |
+
"loss": 6.0131,
|
247 |
+
"step": 39
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.23712067748764998,
|
251 |
+
"grad_norm": 3.9554407596588135,
|
252 |
+
"learning_rate": 9.545454545454547e-06,
|
253 |
+
"loss": 6.0074,
|
254 |
+
"step": 42
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.25405786873676783,
|
258 |
+
"grad_norm": 4.406026840209961,
|
259 |
+
"learning_rate": 1.0227272727272729e-05,
|
260 |
+
"loss": 5.7125,
|
261 |
+
"step": 45
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.2709950599858857,
|
265 |
+
"grad_norm": 7.235893249511719,
|
266 |
+
"learning_rate": 1.0909090909090909e-05,
|
267 |
+
"loss": 5.5634,
|
268 |
+
"step": 48
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.28793225123500354,
|
272 |
+
"grad_norm": 5.330288410186768,
|
273 |
+
"learning_rate": 1.1590909090909093e-05,
|
274 |
+
"loss": 5.2924,
|
275 |
+
"step": 51
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.3048694424841214,
|
279 |
+
"grad_norm": 7.216403961181641,
|
280 |
+
"learning_rate": 1.2272727272727274e-05,
|
281 |
+
"loss": 5.2286,
|
282 |
+
"step": 54
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.3048694424841214,
|
286 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
287 |
+
"eval_NLI-v2_dot_accuracy": 0.046875,
|
288 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
289 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
290 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
291 |
+
"eval_VitaminC_cosine_accuracy": 0.54296875,
|
292 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.9328227043151855,
|
293 |
+
"eval_VitaminC_cosine_ap": 0.5212059026196154,
|
294 |
+
"eval_VitaminC_cosine_f1": 0.6576819407008085,
|
295 |
+
"eval_VitaminC_cosine_f1_threshold": 0.7373804450035095,
|
296 |
+
"eval_VitaminC_cosine_precision": 0.49193548387096775,
|
297 |
+
"eval_VitaminC_cosine_recall": 0.991869918699187,
|
298 |
+
"eval_VitaminC_dot_accuracy": 0.55078125,
|
299 |
+
"eval_VitaminC_dot_accuracy_threshold": 418.2774658203125,
|
300 |
+
"eval_VitaminC_dot_ap": 0.5160594099493883,
|
301 |
+
"eval_VitaminC_dot_f1": 0.6521739130434782,
|
302 |
+
"eval_VitaminC_dot_f1_threshold": 291.5081481933594,
|
303 |
+
"eval_VitaminC_dot_precision": 0.4897959183673469,
|
304 |
+
"eval_VitaminC_dot_recall": 0.975609756097561,
|
305 |
+
"eval_VitaminC_euclidean_accuracy": 0.5390625,
|
306 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 8.120429039001465,
|
307 |
+
"eval_VitaminC_euclidean_ap": 0.5224837623095228,
|
308 |
+
"eval_VitaminC_euclidean_f1": 0.6576819407008085,
|
309 |
+
"eval_VitaminC_euclidean_f1_threshold": 14.879999160766602,
|
310 |
+
"eval_VitaminC_euclidean_precision": 0.49193548387096775,
|
311 |
+
"eval_VitaminC_euclidean_recall": 0.991869918699187,
|
312 |
+
"eval_VitaminC_manhattan_accuracy": 0.53515625,
|
313 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 137.40658569335938,
|
314 |
+
"eval_VitaminC_manhattan_ap": 0.5186382518671783,
|
315 |
+
"eval_VitaminC_manhattan_f1": 0.6576086956521738,
|
316 |
+
"eval_VitaminC_manhattan_f1_threshold": 263.32452392578125,
|
317 |
+
"eval_VitaminC_manhattan_precision": 0.49387755102040815,
|
318 |
+
"eval_VitaminC_manhattan_recall": 0.983739837398374,
|
319 |
+
"eval_VitaminC_max_accuracy": 0.55078125,
|
320 |
+
"eval_VitaminC_max_accuracy_threshold": 418.2774658203125,
|
321 |
+
"eval_VitaminC_max_ap": 0.5224837623095228,
|
322 |
+
"eval_VitaminC_max_f1": 0.6576819407008085,
|
323 |
+
"eval_VitaminC_max_f1_threshold": 291.5081481933594,
|
324 |
+
"eval_VitaminC_max_precision": 0.49387755102040815,
|
325 |
+
"eval_VitaminC_max_recall": 0.991869918699187,
|
326 |
+
"eval_sequential_score": 0.5224837623095228,
|
327 |
+
"eval_sts-test_pearson_cosine": 0.14377091128453176,
|
328 |
+
"eval_sts-test_pearson_dot": 0.24728387094758872,
|
329 |
+
"eval_sts-test_pearson_euclidean": 0.14604155960515372,
|
330 |
+
"eval_sts-test_pearson_manhattan": 0.1446467532231986,
|
331 |
+
"eval_sts-test_pearson_max": 0.24728387094758872,
|
332 |
+
"eval_sts-test_spearman_cosine": 0.1968510434344728,
|
333 |
+
"eval_sts-test_spearman_dot": 0.29467218283745694,
|
334 |
+
"eval_sts-test_spearman_euclidean": 0.17218164683969664,
|
335 |
+
"eval_sts-test_spearman_manhattan": 0.17741843340856742,
|
336 |
+
"eval_sts-test_spearman_max": 0.29467218283745694,
|
337 |
+
"eval_vitaminc-pairs_loss": 2.664700746536255,
|
338 |
+
"eval_vitaminc-pairs_runtime": 1.4487,
|
339 |
+
"eval_vitaminc-pairs_samples_per_second": 74.551,
|
340 |
+
"eval_vitaminc-pairs_steps_per_second": 1.381,
|
341 |
+
"step": 54
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.3048694424841214,
|
345 |
+
"eval_negation-triplets_loss": 4.6218037605285645,
|
346 |
+
"eval_negation-triplets_runtime": 0.2971,
|
347 |
+
"eval_negation-triplets_samples_per_second": 215.438,
|
348 |
+
"eval_negation-triplets_steps_per_second": 3.366,
|
349 |
+
"step": 54
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.3048694424841214,
|
353 |
+
"eval_scitail-pairs-pos_loss": 1.2413936853408813,
|
354 |
+
"eval_scitail-pairs-pos_runtime": 0.372,
|
355 |
+
"eval_scitail-pairs-pos_samples_per_second": 145.175,
|
356 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.688,
|
357 |
+
"step": 54
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.3048694424841214,
|
361 |
+
"eval_xsum-pairs_loss": 5.249766826629639,
|
362 |
+
"eval_xsum-pairs_runtime": 3.1506,
|
363 |
+
"eval_xsum-pairs_samples_per_second": 40.627,
|
364 |
+
"eval_xsum-pairs_steps_per_second": 0.635,
|
365 |
+
"step": 54
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.3048694424841214,
|
369 |
+
"eval_sciq_pairs_loss": 0.2961578667163849,
|
370 |
+
"eval_sciq_pairs_runtime": 3.2909,
|
371 |
+
"eval_sciq_pairs_samples_per_second": 38.895,
|
372 |
+
"eval_sciq_pairs_steps_per_second": 0.608,
|
373 |
+
"step": 54
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.3048694424841214,
|
377 |
+
"eval_qasc_pairs_loss": 2.530872344970703,
|
378 |
+
"eval_qasc_pairs_runtime": 0.6255,
|
379 |
+
"eval_qasc_pairs_samples_per_second": 204.63,
|
380 |
+
"eval_qasc_pairs_steps_per_second": 3.197,
|
381 |
+
"step": 54
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.3048694424841214,
|
385 |
+
"eval_openbookqa_pairs_loss": 3.8855104446411133,
|
386 |
+
"eval_openbookqa_pairs_runtime": 0.5742,
|
387 |
+
"eval_openbookqa_pairs_samples_per_second": 222.914,
|
388 |
+
"eval_openbookqa_pairs_steps_per_second": 3.483,
|
389 |
+
"step": 54
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.3048694424841214,
|
393 |
+
"eval_msmarco_pairs_loss": 5.246406555175781,
|
394 |
+
"eval_msmarco_pairs_runtime": 1.2872,
|
395 |
+
"eval_msmarco_pairs_samples_per_second": 99.442,
|
396 |
+
"eval_msmarco_pairs_steps_per_second": 1.554,
|
397 |
+
"step": 54
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.3048694424841214,
|
401 |
+
"eval_nq_pairs_loss": 5.332630157470703,
|
402 |
+
"eval_nq_pairs_runtime": 2.3739,
|
403 |
+
"eval_nq_pairs_samples_per_second": 53.92,
|
404 |
+
"eval_nq_pairs_steps_per_second": 0.843,
|
405 |
+
"step": 54
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.3048694424841214,
|
409 |
+
"eval_trivia_pairs_loss": 5.647429943084717,
|
410 |
+
"eval_trivia_pairs_runtime": 4.4729,
|
411 |
+
"eval_trivia_pairs_samples_per_second": 28.617,
|
412 |
+
"eval_trivia_pairs_steps_per_second": 0.447,
|
413 |
+
"step": 54
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.3048694424841214,
|
417 |
+
"eval_gooaq_pairs_loss": 5.225871562957764,
|
418 |
+
"eval_gooaq_pairs_runtime": 0.8715,
|
419 |
+
"eval_gooaq_pairs_samples_per_second": 146.868,
|
420 |
+
"eval_gooaq_pairs_steps_per_second": 2.295,
|
421 |
+
"step": 54
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.3048694424841214,
|
425 |
+
"eval_paws-pos_loss": 0.8335962891578674,
|
426 |
+
"eval_paws-pos_runtime": 0.6844,
|
427 |
+
"eval_paws-pos_samples_per_second": 187.036,
|
428 |
+
"eval_paws-pos_steps_per_second": 2.922,
|
429 |
+
"step": 54
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.32180663373323926,
|
433 |
+
"grad_norm": 6.847682952880859,
|
434 |
+
"learning_rate": 1.2954545454545455e-05,
|
435 |
+
"loss": 4.4811,
|
436 |
+
"step": 57
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.3387438249823571,
|
440 |
+
"grad_norm": 8.383002281188965,
|
441 |
+
"learning_rate": 1.3636363636363637e-05,
|
442 |
+
"loss": 4.4239,
|
443 |
+
"step": 60
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.35568101623147497,
|
447 |
+
"grad_norm": 7.014843463897705,
|
448 |
+
"learning_rate": 1.431818181818182e-05,
|
449 |
+
"loss": 4.0273,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.3726182074805928,
|
454 |
+
"grad_norm": 5.9739885330200195,
|
455 |
+
"learning_rate": 1.5000000000000002e-05,
|
456 |
+
"loss": 3.4508,
|
457 |
+
"step": 66
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.3895553987297107,
|
461 |
+
"grad_norm": 11.202752113342285,
|
462 |
+
"learning_rate": 1.5681818181818182e-05,
|
463 |
+
"loss": 3.9702,
|
464 |
+
"step": 69
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.40649258997882853,
|
468 |
+
"grad_norm": 7.064818859100342,
|
469 |
+
"learning_rate": 1.6363636363636366e-05,
|
470 |
+
"loss": 3.5295,
|
471 |
+
"step": 72
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.4234297812279464,
|
475 |
+
"grad_norm": 5.912719249725342,
|
476 |
+
"learning_rate": 1.7045454545454546e-05,
|
477 |
+
"loss": 3.6395,
|
478 |
+
"step": 75
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.44036697247706424,
|
482 |
+
"grad_norm": 5.033207893371582,
|
483 |
+
"learning_rate": 1.772727272727273e-05,
|
484 |
+
"loss": 3.2398,
|
485 |
+
"step": 78
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.4573041637261821,
|
489 |
+
"grad_norm": 5.218384265899658,
|
490 |
+
"learning_rate": 1.840909090909091e-05,
|
491 |
+
"loss": 3.116,
|
492 |
+
"step": 81
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.4573041637261821,
|
496 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
497 |
+
"eval_NLI-v2_dot_accuracy": 0.0,
|
498 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
499 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
500 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
501 |
+
"eval_VitaminC_cosine_accuracy": 0.5546875,
|
502 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.9041332006454468,
|
503 |
+
"eval_VitaminC_cosine_ap": 0.5292859731465609,
|
504 |
+
"eval_VitaminC_cosine_f1": 0.6542553191489362,
|
505 |
+
"eval_VitaminC_cosine_f1_threshold": 0.452939510345459,
|
506 |
+
"eval_VitaminC_cosine_precision": 0.48616600790513836,
|
507 |
+
"eval_VitaminC_cosine_recall": 1.0,
|
508 |
+
"eval_VitaminC_dot_accuracy": 0.5546875,
|
509 |
+
"eval_VitaminC_dot_accuracy_threshold": 414.42559814453125,
|
510 |
+
"eval_VitaminC_dot_ap": 0.5222732504955002,
|
511 |
+
"eval_VitaminC_dot_f1": 0.6542553191489362,
|
512 |
+
"eval_VitaminC_dot_f1_threshold": 212.6934814453125,
|
513 |
+
"eval_VitaminC_dot_precision": 0.48616600790513836,
|
514 |
+
"eval_VitaminC_dot_recall": 1.0,
|
515 |
+
"eval_VitaminC_euclidean_accuracy": 0.5546875,
|
516 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 9.18377685546875,
|
517 |
+
"eval_VitaminC_euclidean_ap": 0.5291787221346742,
|
518 |
+
"eval_VitaminC_euclidean_f1": 0.6542553191489362,
|
519 |
+
"eval_VitaminC_euclidean_f1_threshold": 22.683509826660156,
|
520 |
+
"eval_VitaminC_euclidean_precision": 0.48616600790513836,
|
521 |
+
"eval_VitaminC_euclidean_recall": 1.0,
|
522 |
+
"eval_VitaminC_manhattan_accuracy": 0.55859375,
|
523 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 173.8212127685547,
|
524 |
+
"eval_VitaminC_manhattan_ap": 0.5305698453165033,
|
525 |
+
"eval_VitaminC_manhattan_f1": 0.6542553191489362,
|
526 |
+
"eval_VitaminC_manhattan_f1_threshold": 415.5366516113281,
|
527 |
+
"eval_VitaminC_manhattan_precision": 0.48616600790513836,
|
528 |
+
"eval_VitaminC_manhattan_recall": 1.0,
|
529 |
+
"eval_VitaminC_max_accuracy": 0.55859375,
|
530 |
+
"eval_VitaminC_max_accuracy_threshold": 414.42559814453125,
|
531 |
+
"eval_VitaminC_max_ap": 0.5305698453165033,
|
532 |
+
"eval_VitaminC_max_f1": 0.6542553191489362,
|
533 |
+
"eval_VitaminC_max_f1_threshold": 415.5366516113281,
|
534 |
+
"eval_VitaminC_max_precision": 0.48616600790513836,
|
535 |
+
"eval_VitaminC_max_recall": 1.0,
|
536 |
+
"eval_sequential_score": 0.5305698453165033,
|
537 |
+
"eval_sts-test_pearson_cosine": 0.45494716382349193,
|
538 |
+
"eval_sts-test_pearson_dot": 0.44837123659858896,
|
539 |
+
"eval_sts-test_pearson_euclidean": 0.4480861256491879,
|
540 |
+
"eval_sts-test_pearson_manhattan": 0.4417008219313264,
|
541 |
+
"eval_sts-test_pearson_max": 0.45494716382349193,
|
542 |
+
"eval_sts-test_spearman_cosine": 0.48921418507251446,
|
543 |
+
"eval_sts-test_spearman_dot": 0.46707725062744593,
|
544 |
+
"eval_sts-test_spearman_euclidean": 0.4610824798409968,
|
545 |
+
"eval_sts-test_spearman_manhattan": 0.46068648052845956,
|
546 |
+
"eval_sts-test_spearman_max": 0.48921418507251446,
|
547 |
+
"eval_vitaminc-pairs_loss": 2.5043575763702393,
|
548 |
+
"eval_vitaminc-pairs_runtime": 1.4778,
|
549 |
+
"eval_vitaminc-pairs_samples_per_second": 73.079,
|
550 |
+
"eval_vitaminc-pairs_steps_per_second": 1.353,
|
551 |
+
"step": 81
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.4573041637261821,
|
555 |
+
"eval_negation-triplets_loss": 3.4229447841644287,
|
556 |
+
"eval_negation-triplets_runtime": 0.2991,
|
557 |
+
"eval_negation-triplets_samples_per_second": 213.954,
|
558 |
+
"eval_negation-triplets_steps_per_second": 3.343,
|
559 |
+
"step": 81
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.4573041637261821,
|
563 |
+
"eval_scitail-pairs-pos_loss": 0.2784869372844696,
|
564 |
+
"eval_scitail-pairs-pos_runtime": 0.3633,
|
565 |
+
"eval_scitail-pairs-pos_samples_per_second": 148.649,
|
566 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.753,
|
567 |
+
"step": 81
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.4573041637261821,
|
571 |
+
"eval_xsum-pairs_loss": 2.428964614868164,
|
572 |
+
"eval_xsum-pairs_runtime": 3.1548,
|
573 |
+
"eval_xsum-pairs_samples_per_second": 40.573,
|
574 |
+
"eval_xsum-pairs_steps_per_second": 0.634,
|
575 |
+
"step": 81
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.4573041637261821,
|
579 |
+
"eval_sciq_pairs_loss": 0.15256048738956451,
|
580 |
+
"eval_sciq_pairs_runtime": 3.2432,
|
581 |
+
"eval_sciq_pairs_samples_per_second": 39.467,
|
582 |
+
"eval_sciq_pairs_steps_per_second": 0.617,
|
583 |
+
"step": 81
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.4573041637261821,
|
587 |
+
"eval_qasc_pairs_loss": 1.2902077436447144,
|
588 |
+
"eval_qasc_pairs_runtime": 0.6211,
|
589 |
+
"eval_qasc_pairs_samples_per_second": 206.085,
|
590 |
+
"eval_qasc_pairs_steps_per_second": 3.22,
|
591 |
+
"step": 81
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.4573041637261821,
|
595 |
+
"eval_openbookqa_pairs_loss": 2.4784862995147705,
|
596 |
+
"eval_openbookqa_pairs_runtime": 0.5758,
|
597 |
+
"eval_openbookqa_pairs_samples_per_second": 222.308,
|
598 |
+
"eval_openbookqa_pairs_steps_per_second": 3.474,
|
599 |
+
"step": 81
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.4573041637261821,
|
603 |
+
"eval_msmarco_pairs_loss": 2.967724084854126,
|
604 |
+
"eval_msmarco_pairs_runtime": 1.2944,
|
605 |
+
"eval_msmarco_pairs_samples_per_second": 98.885,
|
606 |
+
"eval_msmarco_pairs_steps_per_second": 1.545,
|
607 |
+
"step": 81
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 0.4573041637261821,
|
611 |
+
"eval_nq_pairs_loss": 3.358661413192749,
|
612 |
+
"eval_nq_pairs_runtime": 2.3827,
|
613 |
+
"eval_nq_pairs_samples_per_second": 53.722,
|
614 |
+
"eval_nq_pairs_steps_per_second": 0.839,
|
615 |
+
"step": 81
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.4573041637261821,
|
619 |
+
"eval_trivia_pairs_loss": 3.1391680240631104,
|
620 |
+
"eval_trivia_pairs_runtime": 4.4155,
|
621 |
+
"eval_trivia_pairs_samples_per_second": 28.989,
|
622 |
+
"eval_trivia_pairs_steps_per_second": 0.453,
|
623 |
+
"step": 81
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.4573041637261821,
|
627 |
+
"eval_gooaq_pairs_loss": 2.8774912357330322,
|
628 |
+
"eval_gooaq_pairs_runtime": 0.8746,
|
629 |
+
"eval_gooaq_pairs_samples_per_second": 146.346,
|
630 |
+
"eval_gooaq_pairs_steps_per_second": 2.287,
|
631 |
+
"step": 81
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.4573041637261821,
|
635 |
+
"eval_paws-pos_loss": 0.19754411280155182,
|
636 |
+
"eval_paws-pos_runtime": 0.684,
|
637 |
+
"eval_paws-pos_samples_per_second": 187.141,
|
638 |
+
"eval_paws-pos_steps_per_second": 2.924,
|
639 |
+
"step": 81
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.47424135497529996,
|
643 |
+
"grad_norm": 5.149569988250732,
|
644 |
+
"learning_rate": 1.9090909090909094e-05,
|
645 |
+
"loss": 2.6049,
|
646 |
+
"step": 84
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.4911785462244178,
|
650 |
+
"grad_norm": 5.012928009033203,
|
651 |
+
"learning_rate": 1.9772727272727274e-05,
|
652 |
+
"loss": 2.7738,
|
653 |
+
"step": 87
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.5081157374735357,
|
657 |
+
"grad_norm": 4.880725383758545,
|
658 |
+
"learning_rate": 2.0454545454545457e-05,
|
659 |
+
"loss": 2.5416,
|
660 |
+
"step": 90
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.5250529287226535,
|
664 |
+
"grad_norm": 5.618528366088867,
|
665 |
+
"learning_rate": 2.113636363636364e-05,
|
666 |
+
"loss": 2.3913,
|
667 |
+
"step": 93
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.5419901199717714,
|
671 |
+
"grad_norm": 5.020515441894531,
|
672 |
+
"learning_rate": 2.1818181818181818e-05,
|
673 |
+
"loss": 2.3144,
|
674 |
+
"step": 96
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.5589273112208892,
|
678 |
+
"grad_norm": 4.818451404571533,
|
679 |
+
"learning_rate": 2.25e-05,
|
680 |
+
"loss": 2.1857,
|
681 |
+
"step": 99
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.5758645024700071,
|
685 |
+
"grad_norm": 5.094771385192871,
|
686 |
+
"learning_rate": 2.3181818181818185e-05,
|
687 |
+
"loss": 1.8881,
|
688 |
+
"step": 102
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.592801693719125,
|
692 |
+
"grad_norm": 3.795962333679199,
|
693 |
+
"learning_rate": 2.3863636363636365e-05,
|
694 |
+
"loss": 2.2699,
|
695 |
+
"step": 105
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.6097388849682428,
|
699 |
+
"grad_norm": 4.46245813369751,
|
700 |
+
"learning_rate": 2.454545454545455e-05,
|
701 |
+
"loss": 2.1425,
|
702 |
+
"step": 108
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.6097388849682428,
|
706 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
707 |
+
"eval_NLI-v2_dot_accuracy": 0.0,
|
708 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
709 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
710 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
711 |
+
"eval_VitaminC_cosine_accuracy": 0.5546875,
|
712 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.8830112218856812,
|
713 |
+
"eval_VitaminC_cosine_ap": 0.5302172957740995,
|
714 |
+
"eval_VitaminC_cosine_f1": 0.6558265582655827,
|
715 |
+
"eval_VitaminC_cosine_f1_threshold": 0.5253933668136597,
|
716 |
+
"eval_VitaminC_cosine_precision": 0.491869918699187,
|
717 |
+
"eval_VitaminC_cosine_recall": 0.983739837398374,
|
718 |
+
"eval_VitaminC_dot_accuracy": 0.5390625,
|
719 |
+
"eval_VitaminC_dot_accuracy_threshold": 427.5576171875,
|
720 |
+
"eval_VitaminC_dot_ap": 0.517120157327104,
|
721 |
+
"eval_VitaminC_dot_f1": 0.6542553191489362,
|
722 |
+
"eval_VitaminC_dot_f1_threshold": 175.80963134765625,
|
723 |
+
"eval_VitaminC_dot_precision": 0.48616600790513836,
|
724 |
+
"eval_VitaminC_dot_recall": 1.0,
|
725 |
+
"eval_VitaminC_euclidean_accuracy": 0.5625,
|
726 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 10.817148208618164,
|
727 |
+
"eval_VitaminC_euclidean_ap": 0.532255112376416,
|
728 |
+
"eval_VitaminC_euclidean_f1": 0.6558265582655827,
|
729 |
+
"eval_VitaminC_euclidean_f1_threshold": 21.10729217529297,
|
730 |
+
"eval_VitaminC_euclidean_precision": 0.491869918699187,
|
731 |
+
"eval_VitaminC_euclidean_recall": 0.983739837398374,
|
732 |
+
"eval_VitaminC_manhattan_accuracy": 0.5546875,
|
733 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 224.70416259765625,
|
734 |
+
"eval_VitaminC_manhattan_ap": 0.5298930718604624,
|
735 |
+
"eval_VitaminC_manhattan_f1": 0.6558265582655827,
|
736 |
+
"eval_VitaminC_manhattan_f1_threshold": 415.3311767578125,
|
737 |
+
"eval_VitaminC_manhattan_precision": 0.491869918699187,
|
738 |
+
"eval_VitaminC_manhattan_recall": 0.983739837398374,
|
739 |
+
"eval_VitaminC_max_accuracy": 0.5625,
|
740 |
+
"eval_VitaminC_max_accuracy_threshold": 427.5576171875,
|
741 |
+
"eval_VitaminC_max_ap": 0.532255112376416,
|
742 |
+
"eval_VitaminC_max_f1": 0.6558265582655827,
|
743 |
+
"eval_VitaminC_max_f1_threshold": 415.3311767578125,
|
744 |
+
"eval_VitaminC_max_precision": 0.491869918699187,
|
745 |
+
"eval_VitaminC_max_recall": 1.0,
|
746 |
+
"eval_sequential_score": 0.532255112376416,
|
747 |
+
"eval_sts-test_pearson_cosine": 0.755963151531783,
|
748 |
+
"eval_sts-test_pearson_dot": 0.7384823091540473,
|
749 |
+
"eval_sts-test_pearson_euclidean": 0.764089555623164,
|
750 |
+
"eval_sts-test_pearson_manhattan": 0.7670467479701304,
|
751 |
+
"eval_sts-test_pearson_max": 0.7670467479701304,
|
752 |
+
"eval_sts-test_spearman_cosine": 0.7806331583677342,
|
753 |
+
"eval_sts-test_spearman_dot": 0.7442842883778696,
|
754 |
+
"eval_sts-test_spearman_euclidean": 0.7674205303105437,
|
755 |
+
"eval_sts-test_spearman_manhattan": 0.7664974867050092,
|
756 |
+
"eval_sts-test_spearman_max": 0.7806331583677342,
|
757 |
+
"eval_vitaminc-pairs_loss": 2.721674919128418,
|
758 |
+
"eval_vitaminc-pairs_runtime": 1.4468,
|
759 |
+
"eval_vitaminc-pairs_samples_per_second": 74.65,
|
760 |
+
"eval_vitaminc-pairs_steps_per_second": 1.382,
|
761 |
+
"step": 108
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.6097388849682428,
|
765 |
+
"eval_negation-triplets_loss": 2.338909387588501,
|
766 |
+
"eval_negation-triplets_runtime": 0.3017,
|
767 |
+
"eval_negation-triplets_samples_per_second": 212.101,
|
768 |
+
"eval_negation-triplets_steps_per_second": 3.314,
|
769 |
+
"step": 108
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.6097388849682428,
|
773 |
+
"eval_scitail-pairs-pos_loss": 0.23291125893592834,
|
774 |
+
"eval_scitail-pairs-pos_runtime": 0.3664,
|
775 |
+
"eval_scitail-pairs-pos_samples_per_second": 147.385,
|
776 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.729,
|
777 |
+
"step": 108
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.6097388849682428,
|
781 |
+
"eval_xsum-pairs_loss": 1.2065516710281372,
|
782 |
+
"eval_xsum-pairs_runtime": 3.1488,
|
783 |
+
"eval_xsum-pairs_samples_per_second": 40.65,
|
784 |
+
"eval_xsum-pairs_steps_per_second": 0.635,
|
785 |
+
"step": 108
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.6097388849682428,
|
789 |
+
"eval_sciq_pairs_loss": 0.09487833082675934,
|
790 |
+
"eval_sciq_pairs_runtime": 3.2618,
|
791 |
+
"eval_sciq_pairs_samples_per_second": 39.242,
|
792 |
+
"eval_sciq_pairs_steps_per_second": 0.613,
|
793 |
+
"step": 108
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.6097388849682428,
|
797 |
+
"eval_qasc_pairs_loss": 0.8461999297142029,
|
798 |
+
"eval_qasc_pairs_runtime": 0.6246,
|
799 |
+
"eval_qasc_pairs_samples_per_second": 204.93,
|
800 |
+
"eval_qasc_pairs_steps_per_second": 3.202,
|
801 |
+
"step": 108
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.6097388849682428,
|
805 |
+
"eval_openbookqa_pairs_loss": 1.5739191770553589,
|
806 |
+
"eval_openbookqa_pairs_runtime": 0.5751,
|
807 |
+
"eval_openbookqa_pairs_samples_per_second": 222.568,
|
808 |
+
"eval_openbookqa_pairs_steps_per_second": 3.478,
|
809 |
+
"step": 108
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.6097388849682428,
|
813 |
+
"eval_msmarco_pairs_loss": 1.6446179151535034,
|
814 |
+
"eval_msmarco_pairs_runtime": 1.2828,
|
815 |
+
"eval_msmarco_pairs_samples_per_second": 99.784,
|
816 |
+
"eval_msmarco_pairs_steps_per_second": 1.559,
|
817 |
+
"step": 108
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.6097388849682428,
|
821 |
+
"eval_nq_pairs_loss": 2.364896535873413,
|
822 |
+
"eval_nq_pairs_runtime": 2.3802,
|
823 |
+
"eval_nq_pairs_samples_per_second": 53.777,
|
824 |
+
"eval_nq_pairs_steps_per_second": 0.84,
|
825 |
+
"step": 108
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.6097388849682428,
|
829 |
+
"eval_trivia_pairs_loss": 1.7080069780349731,
|
830 |
+
"eval_trivia_pairs_runtime": 4.4372,
|
831 |
+
"eval_trivia_pairs_samples_per_second": 28.847,
|
832 |
+
"eval_trivia_pairs_steps_per_second": 0.451,
|
833 |
+
"step": 108
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.6097388849682428,
|
837 |
+
"eval_gooaq_pairs_loss": 1.7924479246139526,
|
838 |
+
"eval_gooaq_pairs_runtime": 0.8761,
|
839 |
+
"eval_gooaq_pairs_samples_per_second": 146.094,
|
840 |
+
"eval_gooaq_pairs_steps_per_second": 2.283,
|
841 |
+
"step": 108
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.6097388849682428,
|
845 |
+
"eval_paws-pos_loss": 0.08000019192695618,
|
846 |
+
"eval_paws-pos_runtime": 0.6839,
|
847 |
+
"eval_paws-pos_samples_per_second": 187.168,
|
848 |
+
"eval_paws-pos_steps_per_second": 2.924,
|
849 |
+
"step": 108
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.6266760762173607,
|
853 |
+
"grad_norm": 4.418070316314697,
|
854 |
+
"learning_rate": 2.5227272727272732e-05,
|
855 |
+
"loss": 2.1276,
|
856 |
+
"step": 111
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.6436132674664785,
|
860 |
+
"grad_norm": 4.3495259284973145,
|
861 |
+
"learning_rate": 2.590909090909091e-05,
|
862 |
+
"loss": 1.7531,
|
863 |
+
"step": 114
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.6605504587155964,
|
867 |
+
"grad_norm": 4.294332027435303,
|
868 |
+
"learning_rate": 2.6590909090909093e-05,
|
869 |
+
"loss": 2.0179,
|
870 |
+
"step": 117
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.6774876499647142,
|
874 |
+
"grad_norm": 3.4215610027313232,
|
875 |
+
"learning_rate": 2.7272727272727273e-05,
|
876 |
+
"loss": 1.5305,
|
877 |
+
"step": 120
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.6944248412138321,
|
881 |
+
"grad_norm": 4.37844181060791,
|
882 |
+
"learning_rate": 2.7954545454545457e-05,
|
883 |
+
"loss": 1.6925,
|
884 |
+
"step": 123
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.7113620324629499,
|
888 |
+
"grad_norm": 4.019878387451172,
|
889 |
+
"learning_rate": 2.863636363636364e-05,
|
890 |
+
"loss": 1.5248,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.7282992237120678,
|
895 |
+
"grad_norm": 4.662445068359375,
|
896 |
+
"learning_rate": 2.931818181818182e-05,
|
897 |
+
"loss": 1.523,
|
898 |
+
"step": 129
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.7452364149611856,
|
902 |
+
"grad_norm": 4.6323161125183105,
|
903 |
+
"learning_rate": 3.0000000000000004e-05,
|
904 |
+
"loss": 1.5474,
|
905 |
+
"step": 132
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.7621736062103035,
|
909 |
+
"grad_norm": 4.586575984954834,
|
910 |
+
"learning_rate": 3.068181818181819e-05,
|
911 |
+
"loss": 1.7221,
|
912 |
+
"step": 135
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.7621736062103035,
|
916 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
917 |
+
"eval_NLI-v2_dot_accuracy": 0.0,
|
918 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
919 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
920 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
921 |
+
"eval_VitaminC_cosine_accuracy": 0.56640625,
|
922 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.8478574156761169,
|
923 |
+
"eval_VitaminC_cosine_ap": 0.5325579595957614,
|
924 |
+
"eval_VitaminC_cosine_f1": 0.6559999999999999,
|
925 |
+
"eval_VitaminC_cosine_f1_threshold": 0.35839784145355225,
|
926 |
+
"eval_VitaminC_cosine_precision": 0.4880952380952381,
|
927 |
+
"eval_VitaminC_cosine_recall": 1.0,
|
928 |
+
"eval_VitaminC_dot_accuracy": 0.5625,
|
929 |
+
"eval_VitaminC_dot_accuracy_threshold": 366.9839172363281,
|
930 |
+
"eval_VitaminC_dot_ap": 0.5326813797607027,
|
931 |
+
"eval_VitaminC_dot_f1": 0.6559999999999999,
|
932 |
+
"eval_VitaminC_dot_f1_threshold": 157.35829162597656,
|
933 |
+
"eval_VitaminC_dot_precision": 0.4880952380952381,
|
934 |
+
"eval_VitaminC_dot_recall": 1.0,
|
935 |
+
"eval_VitaminC_euclidean_accuracy": 0.5625,
|
936 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 12.044445037841797,
|
937 |
+
"eval_VitaminC_euclidean_ap": 0.5304103559932005,
|
938 |
+
"eval_VitaminC_euclidean_f1": 0.6542553191489362,
|
939 |
+
"eval_VitaminC_euclidean_f1_threshold": 24.461441040039062,
|
940 |
+
"eval_VitaminC_euclidean_precision": 0.48616600790513836,
|
941 |
+
"eval_VitaminC_euclidean_recall": 1.0,
|
942 |
+
"eval_VitaminC_manhattan_accuracy": 0.5625,
|
943 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 239.24815368652344,
|
944 |
+
"eval_VitaminC_manhattan_ap": 0.5314780667834758,
|
945 |
+
"eval_VitaminC_manhattan_f1": 0.6575342465753424,
|
946 |
+
"eval_VitaminC_manhattan_f1_threshold": 400.6834716796875,
|
947 |
+
"eval_VitaminC_manhattan_precision": 0.49586776859504134,
|
948 |
+
"eval_VitaminC_manhattan_recall": 0.975609756097561,
|
949 |
+
"eval_VitaminC_max_accuracy": 0.56640625,
|
950 |
+
"eval_VitaminC_max_accuracy_threshold": 366.9839172363281,
|
951 |
+
"eval_VitaminC_max_ap": 0.5326813797607027,
|
952 |
+
"eval_VitaminC_max_f1": 0.6575342465753424,
|
953 |
+
"eval_VitaminC_max_f1_threshold": 400.6834716796875,
|
954 |
+
"eval_VitaminC_max_precision": 0.49586776859504134,
|
955 |
+
"eval_VitaminC_max_recall": 1.0,
|
956 |
+
"eval_sequential_score": 0.5326813797607027,
|
957 |
+
"eval_sts-test_pearson_cosine": 0.7919597804368175,
|
958 |
+
"eval_sts-test_pearson_dot": 0.7994867531185785,
|
959 |
+
"eval_sts-test_pearson_euclidean": 0.8117960113303863,
|
960 |
+
"eval_sts-test_pearson_manhattan": 0.8144714466358016,
|
961 |
+
"eval_sts-test_pearson_max": 0.8144714466358016,
|
962 |
+
"eval_sts-test_spearman_cosine": 0.831478610786181,
|
963 |
+
"eval_sts-test_spearman_dot": 0.8192534746855707,
|
964 |
+
"eval_sts-test_spearman_euclidean": 0.8185577905406703,
|
965 |
+
"eval_sts-test_spearman_manhattan": 0.8154771593606782,
|
966 |
+
"eval_sts-test_spearman_max": 0.831478610786181,
|
967 |
+
"eval_vitaminc-pairs_loss": 2.852091073989868,
|
968 |
+
"eval_vitaminc-pairs_runtime": 1.4427,
|
969 |
+
"eval_vitaminc-pairs_samples_per_second": 74.858,
|
970 |
+
"eval_vitaminc-pairs_steps_per_second": 1.386,
|
971 |
+
"step": 135
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 0.7621736062103035,
|
975 |
+
"eval_negation-triplets_loss": 2.074247121810913,
|
976 |
+
"eval_negation-triplets_runtime": 0.3,
|
977 |
+
"eval_negation-triplets_samples_per_second": 213.353,
|
978 |
+
"eval_negation-triplets_steps_per_second": 3.334,
|
979 |
+
"step": 135
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 0.7621736062103035,
|
983 |
+
"eval_scitail-pairs-pos_loss": 0.2149849385023117,
|
984 |
+
"eval_scitail-pairs-pos_runtime": 0.3744,
|
985 |
+
"eval_scitail-pairs-pos_samples_per_second": 144.219,
|
986 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.671,
|
987 |
+
"step": 135
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.7621736062103035,
|
991 |
+
"eval_xsum-pairs_loss": 0.7706837058067322,
|
992 |
+
"eval_xsum-pairs_runtime": 3.1609,
|
993 |
+
"eval_xsum-pairs_samples_per_second": 40.495,
|
994 |
+
"eval_xsum-pairs_steps_per_second": 0.633,
|
995 |
+
"step": 135
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.7621736062103035,
|
999 |
+
"eval_sciq_pairs_loss": 0.07513368874788284,
|
1000 |
+
"eval_sciq_pairs_runtime": 3.2949,
|
1001 |
+
"eval_sciq_pairs_samples_per_second": 38.848,
|
1002 |
+
"eval_sciq_pairs_steps_per_second": 0.607,
|
1003 |
+
"step": 135
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.7621736062103035,
|
1007 |
+
"eval_qasc_pairs_loss": 0.6355602741241455,
|
1008 |
+
"eval_qasc_pairs_runtime": 0.6392,
|
1009 |
+
"eval_qasc_pairs_samples_per_second": 200.246,
|
1010 |
+
"eval_qasc_pairs_steps_per_second": 3.129,
|
1011 |
+
"step": 135
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.7621736062103035,
|
1015 |
+
"eval_openbookqa_pairs_loss": 1.4014525413513184,
|
1016 |
+
"eval_openbookqa_pairs_runtime": 0.622,
|
1017 |
+
"eval_openbookqa_pairs_samples_per_second": 205.786,
|
1018 |
+
"eval_openbookqa_pairs_steps_per_second": 3.215,
|
1019 |
+
"step": 135
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.7621736062103035,
|
1023 |
+
"eval_msmarco_pairs_loss": 1.1524099111557007,
|
1024 |
+
"eval_msmarco_pairs_runtime": 1.31,
|
1025 |
+
"eval_msmarco_pairs_samples_per_second": 97.709,
|
1026 |
+
"eval_msmarco_pairs_steps_per_second": 1.527,
|
1027 |
+
"step": 135
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 0.7621736062103035,
|
1031 |
+
"eval_nq_pairs_loss": 1.7768574953079224,
|
1032 |
+
"eval_nq_pairs_runtime": 2.3979,
|
1033 |
+
"eval_nq_pairs_samples_per_second": 53.379,
|
1034 |
+
"eval_nq_pairs_steps_per_second": 0.834,
|
1035 |
+
"step": 135
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.7621736062103035,
|
1039 |
+
"eval_trivia_pairs_loss": 1.4495295286178589,
|
1040 |
+
"eval_trivia_pairs_runtime": 4.4194,
|
1041 |
+
"eval_trivia_pairs_samples_per_second": 28.964,
|
1042 |
+
"eval_trivia_pairs_steps_per_second": 0.453,
|
1043 |
+
"step": 135
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.7621736062103035,
|
1047 |
+
"eval_gooaq_pairs_loss": 1.3955378532409668,
|
1048 |
+
"eval_gooaq_pairs_runtime": 0.8788,
|
1049 |
+
"eval_gooaq_pairs_samples_per_second": 145.649,
|
1050 |
+
"eval_gooaq_pairs_steps_per_second": 2.276,
|
1051 |
+
"step": 135
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.7621736062103035,
|
1055 |
+
"eval_paws-pos_loss": 0.06006813049316406,
|
1056 |
+
"eval_paws-pos_runtime": 0.6896,
|
1057 |
+
"eval_paws-pos_samples_per_second": 185.603,
|
1058 |
+
"eval_paws-pos_steps_per_second": 2.9,
|
1059 |
+
"step": 135
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.7791107974594214,
|
1063 |
+
"grad_norm": 3.864208936691284,
|
1064 |
+
"learning_rate": 3.1363636363636365e-05,
|
1065 |
+
"loss": 1.5366,
|
1066 |
+
"step": 138
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.7960479887085392,
|
1070 |
+
"grad_norm": 3.837550640106201,
|
1071 |
+
"learning_rate": 3.204545454545455e-05,
|
1072 |
+
"loss": 1.3045,
|
1073 |
+
"step": 141
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.8129851799576571,
|
1077 |
+
"grad_norm": 3.5258102416992188,
|
1078 |
+
"learning_rate": 3.272727272727273e-05,
|
1079 |
+
"loss": 1.1999,
|
1080 |
+
"step": 144
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.8299223712067749,
|
1084 |
+
"grad_norm": 3.4431183338165283,
|
1085 |
+
"learning_rate": 3.340909090909091e-05,
|
1086 |
+
"loss": 1.3483,
|
1087 |
+
"step": 147
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.8468595624558928,
|
1091 |
+
"grad_norm": 3.6455864906311035,
|
1092 |
+
"learning_rate": 3.409090909090909e-05,
|
1093 |
+
"loss": 1.2009,
|
1094 |
+
"step": 150
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.8637967537050106,
|
1098 |
+
"grad_norm": 4.508525371551514,
|
1099 |
+
"learning_rate": 3.4772727272727276e-05,
|
1100 |
+
"loss": 1.4495,
|
1101 |
+
"step": 153
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.8807339449541285,
|
1105 |
+
"grad_norm": 3.0432400703430176,
|
1106 |
+
"learning_rate": 3.545454545454546e-05,
|
1107 |
+
"loss": 1.2329,
|
1108 |
+
"step": 156
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.8976711362032463,
|
1112 |
+
"grad_norm": 3.0190365314483643,
|
1113 |
+
"learning_rate": 3.613636363636364e-05,
|
1114 |
+
"loss": 1.1905,
|
1115 |
+
"step": 159
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.9146083274523642,
|
1119 |
+
"grad_norm": 3.74668288230896,
|
1120 |
+
"learning_rate": 3.681818181818182e-05,
|
1121 |
+
"loss": 1.277,
|
1122 |
+
"step": 162
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.9146083274523642,
|
1126 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
1127 |
+
"eval_NLI-v2_dot_accuracy": 0.0,
|
1128 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
1129 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
1130 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
1131 |
+
"eval_VitaminC_cosine_accuracy": 0.57421875,
|
1132 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.8101799488067627,
|
1133 |
+
"eval_VitaminC_cosine_ap": 0.5298515171639175,
|
1134 |
+
"eval_VitaminC_cosine_f1": 0.6542553191489362,
|
1135 |
+
"eval_VitaminC_cosine_f1_threshold": 0.345889687538147,
|
1136 |
+
"eval_VitaminC_cosine_precision": 0.48616600790513836,
|
1137 |
+
"eval_VitaminC_cosine_recall": 1.0,
|
1138 |
+
"eval_VitaminC_dot_accuracy": 0.55078125,
|
1139 |
+
"eval_VitaminC_dot_accuracy_threshold": 373.5804443359375,
|
1140 |
+
"eval_VitaminC_dot_ap": 0.5310954683437364,
|
1141 |
+
"eval_VitaminC_dot_f1": 0.6542553191489362,
|
1142 |
+
"eval_VitaminC_dot_f1_threshold": 155.41326904296875,
|
1143 |
+
"eval_VitaminC_dot_precision": 0.48616600790513836,
|
1144 |
+
"eval_VitaminC_dot_recall": 1.0,
|
1145 |
+
"eval_VitaminC_euclidean_accuracy": 0.57421875,
|
1146 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 13.60124683380127,
|
1147 |
+
"eval_VitaminC_euclidean_ap": 0.5286057955992807,
|
1148 |
+
"eval_VitaminC_euclidean_f1": 0.6577540106951871,
|
1149 |
+
"eval_VitaminC_euclidean_f1_threshold": 22.904512405395508,
|
1150 |
+
"eval_VitaminC_euclidean_precision": 0.4900398406374502,
|
1151 |
+
"eval_VitaminC_euclidean_recall": 1.0,
|
1152 |
+
"eval_VitaminC_manhattan_accuracy": 0.57421875,
|
1153 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 262.37322998046875,
|
1154 |
+
"eval_VitaminC_manhattan_ap": 0.5253560845853567,
|
1155 |
+
"eval_VitaminC_manhattan_f1": 0.6559999999999999,
|
1156 |
+
"eval_VitaminC_manhattan_f1_threshold": 465.94549560546875,
|
1157 |
+
"eval_VitaminC_manhattan_precision": 0.4880952380952381,
|
1158 |
+
"eval_VitaminC_manhattan_recall": 1.0,
|
1159 |
+
"eval_VitaminC_max_accuracy": 0.57421875,
|
1160 |
+
"eval_VitaminC_max_accuracy_threshold": 373.5804443359375,
|
1161 |
+
"eval_VitaminC_max_ap": 0.5310954683437364,
|
1162 |
+
"eval_VitaminC_max_f1": 0.6577540106951871,
|
1163 |
+
"eval_VitaminC_max_f1_threshold": 465.94549560546875,
|
1164 |
+
"eval_VitaminC_max_precision": 0.4900398406374502,
|
1165 |
+
"eval_VitaminC_max_recall": 1.0,
|
1166 |
+
"eval_sequential_score": 0.5310954683437364,
|
1167 |
+
"eval_sts-test_pearson_cosine": 0.8067612938723231,
|
1168 |
+
"eval_sts-test_pearson_dot": 0.8217874837658639,
|
1169 |
+
"eval_sts-test_pearson_euclidean": 0.827948115812785,
|
1170 |
+
"eval_sts-test_pearson_manhattan": 0.8261527694953693,
|
1171 |
+
"eval_sts-test_pearson_max": 0.827948115812785,
|
1172 |
+
"eval_sts-test_spearman_cosine": 0.8547777638284432,
|
1173 |
+
"eval_sts-test_spearman_dot": 0.8498786150097738,
|
1174 |
+
"eval_sts-test_spearman_euclidean": 0.8373845860667446,
|
1175 |
+
"eval_sts-test_spearman_manhattan": 0.8324507067477893,
|
1176 |
+
"eval_sts-test_spearman_max": 0.8547777638284432,
|
1177 |
+
"eval_vitaminc-pairs_loss": 2.776399612426758,
|
1178 |
+
"eval_vitaminc-pairs_runtime": 1.4503,
|
1179 |
+
"eval_vitaminc-pairs_samples_per_second": 74.467,
|
1180 |
+
"eval_vitaminc-pairs_steps_per_second": 1.379,
|
1181 |
+
"step": 162
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.9146083274523642,
|
1185 |
+
"eval_negation-triplets_loss": 2.005451202392578,
|
1186 |
+
"eval_negation-triplets_runtime": 0.2981,
|
1187 |
+
"eval_negation-triplets_samples_per_second": 214.709,
|
1188 |
+
"eval_negation-triplets_steps_per_second": 3.355,
|
1189 |
+
"step": 162
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 0.9146083274523642,
|
1193 |
+
"eval_scitail-pairs-pos_loss": 0.19877880811691284,
|
1194 |
+
"eval_scitail-pairs-pos_runtime": 0.3623,
|
1195 |
+
"eval_scitail-pairs-pos_samples_per_second": 149.043,
|
1196 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.76,
|
1197 |
+
"step": 162
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.9146083274523642,
|
1201 |
+
"eval_xsum-pairs_loss": 0.5586928725242615,
|
1202 |
+
"eval_xsum-pairs_runtime": 3.1466,
|
1203 |
+
"eval_xsum-pairs_samples_per_second": 40.679,
|
1204 |
+
"eval_xsum-pairs_steps_per_second": 0.636,
|
1205 |
+
"step": 162
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 0.9146083274523642,
|
1209 |
+
"eval_sciq_pairs_loss": 0.06038254499435425,
|
1210 |
+
"eval_sciq_pairs_runtime": 3.4092,
|
1211 |
+
"eval_sciq_pairs_samples_per_second": 37.545,
|
1212 |
+
"eval_sciq_pairs_steps_per_second": 0.587,
|
1213 |
+
"step": 162
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.9146083274523642,
|
1217 |
+
"eval_qasc_pairs_loss": 0.49434012174606323,
|
1218 |
+
"eval_qasc_pairs_runtime": 0.6342,
|
1219 |
+
"eval_qasc_pairs_samples_per_second": 201.832,
|
1220 |
+
"eval_qasc_pairs_steps_per_second": 3.154,
|
1221 |
+
"step": 162
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.9146083274523642,
|
1225 |
+
"eval_openbookqa_pairs_loss": 1.1903400421142578,
|
1226 |
+
"eval_openbookqa_pairs_runtime": 0.5754,
|
1227 |
+
"eval_openbookqa_pairs_samples_per_second": 222.449,
|
1228 |
+
"eval_openbookqa_pairs_steps_per_second": 3.476,
|
1229 |
+
"step": 162
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 0.9146083274523642,
|
1233 |
+
"eval_msmarco_pairs_loss": 0.8656420707702637,
|
1234 |
+
"eval_msmarco_pairs_runtime": 1.2858,
|
1235 |
+
"eval_msmarco_pairs_samples_per_second": 99.547,
|
1236 |
+
"eval_msmarco_pairs_steps_per_second": 1.555,
|
1237 |
+
"step": 162
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.9146083274523642,
|
1241 |
+
"eval_nq_pairs_loss": 1.1553651094436646,
|
1242 |
+
"eval_nq_pairs_runtime": 2.3754,
|
1243 |
+
"eval_nq_pairs_samples_per_second": 53.885,
|
1244 |
+
"eval_nq_pairs_steps_per_second": 0.842,
|
1245 |
+
"step": 162
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.9146083274523642,
|
1249 |
+
"eval_trivia_pairs_loss": 1.2928619384765625,
|
1250 |
+
"eval_trivia_pairs_runtime": 4.4084,
|
1251 |
+
"eval_trivia_pairs_samples_per_second": 29.035,
|
1252 |
+
"eval_trivia_pairs_steps_per_second": 0.454,
|
1253 |
+
"step": 162
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 0.9146083274523642,
|
1257 |
+
"eval_gooaq_pairs_loss": 1.1580811738967896,
|
1258 |
+
"eval_gooaq_pairs_runtime": 0.8731,
|
1259 |
+
"eval_gooaq_pairs_samples_per_second": 146.607,
|
1260 |
+
"eval_gooaq_pairs_steps_per_second": 2.291,
|
1261 |
+
"step": 162
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 0.9146083274523642,
|
1265 |
+
"eval_paws-pos_loss": 0.052534349262714386,
|
1266 |
+
"eval_paws-pos_runtime": 0.6835,
|
1267 |
+
"eval_paws-pos_samples_per_second": 187.258,
|
1268 |
+
"eval_paws-pos_steps_per_second": 2.926,
|
1269 |
+
"step": 162
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.9315455187014821,
|
1273 |
+
"grad_norm": 4.7817864418029785,
|
1274 |
+
"learning_rate": 3.7500000000000003e-05,
|
1275 |
+
"loss": 1.339,
|
1276 |
+
"step": 165
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.9484827099505999,
|
1280 |
+
"grad_norm": 4.000570774078369,
|
1281 |
+
"learning_rate": 3.818181818181819e-05,
|
1282 |
+
"loss": 1.1535,
|
1283 |
+
"step": 168
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.9654199011997178,
|
1287 |
+
"grad_norm": 3.5971670150756836,
|
1288 |
+
"learning_rate": 3.8863636363636364e-05,
|
1289 |
+
"loss": 1.1643,
|
1290 |
+
"step": 171
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.9823570924488356,
|
1294 |
+
"grad_norm": 3.6582131385803223,
|
1295 |
+
"learning_rate": 3.954545454545455e-05,
|
1296 |
+
"loss": 1.2221,
|
1297 |
+
"step": 174
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.9992942836979535,
|
1301 |
+
"grad_norm": 4.0953898429870605,
|
1302 |
+
"learning_rate": 3.9999477905707075e-05,
|
1303 |
+
"loss": 1.0974,
|
1304 |
+
"step": 177
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.0162314749470713,
|
1308 |
+
"grad_norm": 4.092026233673096,
|
1309 |
+
"learning_rate": 3.999164730903481e-05,
|
1310 |
+
"loss": 1.0984,
|
1311 |
+
"step": 180
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 1.0331686661961892,
|
1315 |
+
"grad_norm": 3.6480906009674072,
|
1316 |
+
"learning_rate": 3.997442539262898e-05,
|
1317 |
+
"loss": 1.0543,
|
1318 |
+
"step": 183
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 1.050105857445307,
|
1322 |
+
"grad_norm": 3.433056592941284,
|
1323 |
+
"learning_rate": 3.99478242943326e-05,
|
1324 |
+
"loss": 1.0994,
|
1325 |
+
"step": 186
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 1.067043048694425,
|
1329 |
+
"grad_norm": 3.507981777191162,
|
1330 |
+
"learning_rate": 3.991186276234698e-05,
|
1331 |
+
"loss": 1.0621,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 1.067043048694425,
|
1336 |
+
"eval_NLI-v2_cosine_accuracy": 1.0,
|
1337 |
+
"eval_NLI-v2_dot_accuracy": 0.0,
|
1338 |
+
"eval_NLI-v2_euclidean_accuracy": 1.0,
|
1339 |
+
"eval_NLI-v2_manhattan_accuracy": 1.0,
|
1340 |
+
"eval_NLI-v2_max_accuracy": 1.0,
|
1341 |
+
"eval_VitaminC_cosine_accuracy": 0.578125,
|
1342 |
+
"eval_VitaminC_cosine_accuracy_threshold": 0.7840081453323364,
|
1343 |
+
"eval_VitaminC_cosine_ap": 0.5400770399437144,
|
1344 |
+
"eval_VitaminC_cosine_f1": 0.6577540106951871,
|
1345 |
+
"eval_VitaminC_cosine_f1_threshold": 0.39448243379592896,
|
1346 |
+
"eval_VitaminC_cosine_precision": 0.4900398406374502,
|
1347 |
+
"eval_VitaminC_cosine_recall": 1.0,
|
1348 |
+
"eval_VitaminC_dot_accuracy": 0.5625,
|
1349 |
+
"eval_VitaminC_dot_accuracy_threshold": 323.20281982421875,
|
1350 |
+
"eval_VitaminC_dot_ap": 0.5420016101916201,
|
1351 |
+
"eval_VitaminC_dot_f1": 0.6575342465753424,
|
1352 |
+
"eval_VitaminC_dot_f1_threshold": 198.04354858398438,
|
1353 |
+
"eval_VitaminC_dot_precision": 0.49586776859504134,
|
1354 |
+
"eval_VitaminC_dot_recall": 0.975609756097561,
|
1355 |
+
"eval_VitaminC_euclidean_accuracy": 0.5859375,
|
1356 |
+
"eval_VitaminC_euclidean_accuracy_threshold": 13.84214973449707,
|
1357 |
+
"eval_VitaminC_euclidean_ap": 0.5392157650683609,
|
1358 |
+
"eval_VitaminC_euclidean_f1": 0.6577540106951871,
|
1359 |
+
"eval_VitaminC_euclidean_f1_threshold": 22.595678329467773,
|
1360 |
+
"eval_VitaminC_euclidean_precision": 0.4900398406374502,
|
1361 |
+
"eval_VitaminC_euclidean_recall": 1.0,
|
1362 |
+
"eval_VitaminC_manhattan_accuracy": 0.5703125,
|
1363 |
+
"eval_VitaminC_manhattan_accuracy_threshold": 275.1253356933594,
|
1364 |
+
"eval_VitaminC_manhattan_ap": 0.5341380380767263,
|
1365 |
+
"eval_VitaminC_manhattan_f1": 0.6576819407008085,
|
1366 |
+
"eval_VitaminC_manhattan_f1_threshold": 457.04986572265625,
|
1367 |
+
"eval_VitaminC_manhattan_precision": 0.49193548387096775,
|
1368 |
+
"eval_VitaminC_manhattan_recall": 0.991869918699187,
|
1369 |
+
"eval_VitaminC_max_accuracy": 0.5859375,
|
1370 |
+
"eval_VitaminC_max_accuracy_threshold": 323.20281982421875,
|
1371 |
+
"eval_VitaminC_max_ap": 0.5420016101916201,
|
1372 |
+
"eval_VitaminC_max_f1": 0.6577540106951871,
|
1373 |
+
"eval_VitaminC_max_f1_threshold": 457.04986572265625,
|
1374 |
+
"eval_VitaminC_max_precision": 0.49586776859504134,
|
1375 |
+
"eval_VitaminC_max_recall": 1.0,
|
1376 |
+
"eval_sequential_score": 0.5420016101916201,
|
1377 |
+
"eval_sts-test_pearson_cosine": 0.8193410747427454,
|
1378 |
+
"eval_sts-test_pearson_dot": 0.8275444476338831,
|
1379 |
+
"eval_sts-test_pearson_euclidean": 0.8464528142983967,
|
1380 |
+
"eval_sts-test_pearson_manhattan": 0.8440476980962159,
|
1381 |
+
"eval_sts-test_pearson_max": 0.8464528142983967,
|
1382 |
+
"eval_sts-test_spearman_cosine": 0.8680272706642878,
|
1383 |
+
"eval_sts-test_spearman_dot": 0.8555529342729671,
|
1384 |
+
"eval_sts-test_spearman_euclidean": 0.8542457068859202,
|
1385 |
+
"eval_sts-test_spearman_manhattan": 0.8510265117511795,
|
1386 |
+
"eval_sts-test_spearman_max": 0.8680272706642878,
|
1387 |
+
"eval_vitaminc-pairs_loss": 2.6755428314208984,
|
1388 |
+
"eval_vitaminc-pairs_runtime": 1.4509,
|
1389 |
+
"eval_vitaminc-pairs_samples_per_second": 74.437,
|
1390 |
+
"eval_vitaminc-pairs_steps_per_second": 1.378,
|
1391 |
+
"step": 189
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 1.067043048694425,
|
1395 |
+
"eval_negation-triplets_loss": 1.9071491956710815,
|
1396 |
+
"eval_negation-triplets_runtime": 0.3051,
|
1397 |
+
"eval_negation-triplets_samples_per_second": 209.756,
|
1398 |
+
"eval_negation-triplets_steps_per_second": 3.277,
|
1399 |
+
"step": 189
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 1.067043048694425,
|
1403 |
+
"eval_scitail-pairs-pos_loss": 0.18539850413799286,
|
1404 |
+
"eval_scitail-pairs-pos_runtime": 0.4199,
|
1405 |
+
"eval_scitail-pairs-pos_samples_per_second": 128.604,
|
1406 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.382,
|
1407 |
+
"step": 189
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 1.067043048694425,
|
1411 |
+
"eval_xsum-pairs_loss": 0.38365328311920166,
|
1412 |
+
"eval_xsum-pairs_runtime": 3.1907,
|
1413 |
+
"eval_xsum-pairs_samples_per_second": 40.116,
|
1414 |
+
"eval_xsum-pairs_steps_per_second": 0.627,
|
1415 |
+
"step": 189
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 1.067043048694425,
|
1419 |
+
"eval_sciq_pairs_loss": 0.05558515340089798,
|
1420 |
+
"eval_sciq_pairs_runtime": 3.2891,
|
1421 |
+
"eval_sciq_pairs_samples_per_second": 38.917,
|
1422 |
+
"eval_sciq_pairs_steps_per_second": 0.608,
|
1423 |
+
"step": 189
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 1.067043048694425,
|
1427 |
+
"eval_qasc_pairs_loss": 0.40469691157341003,
|
1428 |
+
"eval_qasc_pairs_runtime": 0.6267,
|
1429 |
+
"eval_qasc_pairs_samples_per_second": 204.245,
|
1430 |
+
"eval_qasc_pairs_steps_per_second": 3.191,
|
1431 |
+
"step": 189
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 1.067043048694425,
|
1435 |
+
"eval_openbookqa_pairs_loss": 1.0837312936782837,
|
1436 |
+
"eval_openbookqa_pairs_runtime": 0.5765,
|
1437 |
+
"eval_openbookqa_pairs_samples_per_second": 222.02,
|
1438 |
+
"eval_openbookqa_pairs_steps_per_second": 3.469,
|
1439 |
+
"step": 189
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 1.067043048694425,
|
1443 |
+
"eval_msmarco_pairs_loss": 0.6897398233413696,
|
1444 |
+
"eval_msmarco_pairs_runtime": 1.2918,
|
1445 |
+
"eval_msmarco_pairs_samples_per_second": 99.089,
|
1446 |
+
"eval_msmarco_pairs_steps_per_second": 1.548,
|
1447 |
+
"step": 189
|
1448 |
+
},
|
1449 |
+
{
|
1450 |
+
"epoch": 1.067043048694425,
|
1451 |
+
"eval_nq_pairs_loss": 0.9603796601295471,
|
1452 |
+
"eval_nq_pairs_runtime": 2.3975,
|
1453 |
+
"eval_nq_pairs_samples_per_second": 53.39,
|
1454 |
+
"eval_nq_pairs_steps_per_second": 0.834,
|
1455 |
+
"step": 189
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 1.067043048694425,
|
1459 |
+
"eval_trivia_pairs_loss": 1.200446605682373,
|
1460 |
+
"eval_trivia_pairs_runtime": 4.4582,
|
1461 |
+
"eval_trivia_pairs_samples_per_second": 28.711,
|
1462 |
+
"eval_trivia_pairs_steps_per_second": 0.449,
|
1463 |
+
"step": 189
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 1.067043048694425,
|
1467 |
+
"eval_gooaq_pairs_loss": 1.0353316068649292,
|
1468 |
+
"eval_gooaq_pairs_runtime": 0.8765,
|
1469 |
+
"eval_gooaq_pairs_samples_per_second": 146.042,
|
1470 |
+
"eval_gooaq_pairs_steps_per_second": 2.282,
|
1471 |
+
"step": 189
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 1.067043048694425,
|
1475 |
+
"eval_paws-pos_loss": 0.042069558054208755,
|
1476 |
+
"eval_paws-pos_runtime": 0.6909,
|
1477 |
+
"eval_paws-pos_samples_per_second": 185.263,
|
1478 |
+
"eval_paws-pos_steps_per_second": 2.895,
|
1479 |
+
"step": 189
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 1.0839802399435428,
|
1483 |
+
"grad_norm": 2.979419469833374,
|
1484 |
+
"learning_rate": 3.986656614201813e-05,
|
1485 |
+
"loss": 0.8724,
|
1486 |
+
"step": 192
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 1.1009174311926606,
|
1490 |
+
"grad_norm": 2.835219144821167,
|
1491 |
+
"learning_rate": 3.981196635797361e-05,
|
1492 |
+
"loss": 0.9381,
|
1493 |
+
"step": 195
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 1.1178546224417785,
|
1497 |
+
"grad_norm": 3.6650869846343994,
|
1498 |
+
"learning_rate": 3.974810189162238e-05,
|
1499 |
+
"loss": 0.9617,
|
1500 |
+
"step": 198
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 1.1347918136908963,
|
1504 |
+
"grad_norm": 4.188896656036377,
|
1505 |
+
"learning_rate": 3.967501775403343e-05,
|
1506 |
+
"loss": 1.0139,
|
1507 |
+
"step": 201
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 1.1517290049400142,
|
1511 |
+
"grad_norm": 3.1624915599823,
|
1512 |
+
"learning_rate": 3.959276545421244e-05,
|
1513 |
+
"loss": 1.1073,
|
1514 |
+
"step": 204
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.168666196189132,
|
1518 |
+
"grad_norm": 3.245002508163452,
|
1519 |
+
"learning_rate": 3.950140296279871e-05,
|
1520 |
+
"loss": 0.8365,
|
1521 |
+
"step": 207
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 1.18560338743825,
|
1525 |
+
"grad_norm": 4.376185894012451,
|
1526 |
+
"learning_rate": 3.9400994671208e-05,
|
1527 |
+
"loss": 1.1012,
|
1528 |
+
"step": 210
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 1.2025405786873677,
|
1532 |
+
"grad_norm": 3.236583948135376,
|
1533 |
+
"learning_rate": 3.9291611346250066e-05,
|
1534 |
+
"loss": 1.0016,
|
1535 |
+
"step": 213
|
1536 |
+
}
|
1537 |
+
],
|
1538 |
+
"logging_steps": 3,
|
1539 |
+
"max_steps": 531,
|
1540 |
+
"num_input_tokens_seen": 0,
|
1541 |
+
"num_train_epochs": 3,
|
1542 |
+
"save_steps": 107,
|
1543 |
+
"stateful_callbacks": {
|
1544 |
+
"TrainerControl": {
|
1545 |
+
"args": {
|
1546 |
+
"should_epoch_stop": false,
|
1547 |
+
"should_evaluate": false,
|
1548 |
+
"should_log": false,
|
1549 |
+
"should_save": true,
|
1550 |
+
"should_training_stop": false
|
1551 |
+
},
|
1552 |
+
"attributes": {}
|
1553 |
+
}
|
1554 |
+
},
|
1555 |
+
"total_flos": 0.0,
|
1556 |
+
"train_batch_size": 160,
|
1557 |
+
"trial_name": null,
|
1558 |
+
"trial_params": null
|
1559 |
+
}
|
checkpoint-214/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:526057a01875662c89243f2f1101012515e0f154fca67a38aba3fb44dcb2d6d0
|
3 |
+
size 5688
|