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