Training in progress, step 104, checkpoint
Browse files- checkpoint-104/1_Pooling/config.json +10 -0
- checkpoint-104/README.md +0 -0
- checkpoint-104/added_tokens.json +3 -0
- checkpoint-104/config.json +38 -0
- checkpoint-104/config_sentence_transformers.json +10 -0
- checkpoint-104/modules.json +14 -0
- checkpoint-104/optimizer.pt +3 -0
- checkpoint-104/pytorch_model.bin +3 -0
- checkpoint-104/rng_state.pth +3 -0
- checkpoint-104/scheduler.pt +3 -0
- checkpoint-104/sentence_bert_config.json +4 -0
- checkpoint-104/special_tokens_map.json +15 -0
- checkpoint-104/spm.model +3 -0
- checkpoint-104/tokenizer.json +0 -0
- checkpoint-104/tokenizer_config.json +58 -0
- checkpoint-104/trainer_state.json +1043 -0
- checkpoint-104/training_args.bin +3 -0
checkpoint-104/1_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-104/README.md
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-104/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-104/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-104/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-104/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-104/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03711586d86d98d07974115286b30db77f87b990c215cb55519faaf2e2349328
|
3 |
+
size 7077084396
|
checkpoint-104/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:663b83f1d9a3333afdb6f468647c42e95752dee8bba6f61e56679fea719a9066
|
3 |
+
size 3538506546
|
checkpoint-104/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8977fa1b1bcba243d602658153b863fe53a9a164e28641a100c49c959c6f6cbd
|
3 |
+
size 14244
|
checkpoint-104/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:43e3a487c8814200d9b028c0f0f955ce2a396f10a332ca3f721b9f7a9ede70e2
|
3 |
+
size 1064
|
checkpoint-104/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-104/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-104/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
|
3 |
+
size 2447305
|
checkpoint-104/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-104/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-104/trainer_state.json
ADDED
@@ -0,0 +1,1043 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.20051413881748073,
|
5 |
+
"eval_steps": 26,
|
6 |
+
"global_step": 104,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.005784061696658098,
|
13 |
+
"grad_norm": NaN,
|
14 |
+
"learning_rate": 0.0,
|
15 |
+
"loss": 7.8503,
|
16 |
+
"step": 3
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.011568123393316195,
|
20 |
+
"grad_norm": 127.71849060058594,
|
21 |
+
"learning_rate": 5.791505791505792e-08,
|
22 |
+
"loss": 8.4022,
|
23 |
+
"step": 6
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.017352185089974295,
|
27 |
+
"grad_norm": 244.984619140625,
|
28 |
+
"learning_rate": 1.7374517374517373e-07,
|
29 |
+
"loss": 11.1776,
|
30 |
+
"step": 9
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.02313624678663239,
|
34 |
+
"grad_norm": 425.6427917480469,
|
35 |
+
"learning_rate": 3.4749034749034746e-07,
|
36 |
+
"loss": 9.7845,
|
37 |
+
"step": 12
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02892030848329049,
|
41 |
+
"grad_norm": 238.8634490966797,
|
42 |
+
"learning_rate": 5.212355212355212e-07,
|
43 |
+
"loss": 8.9224,
|
44 |
+
"step": 15
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03470437017994859,
|
48 |
+
"grad_norm": 173.4210968017578,
|
49 |
+
"learning_rate": 6.949806949806949e-07,
|
50 |
+
"loss": 11.1202,
|
51 |
+
"step": 18
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.04048843187660668,
|
55 |
+
"grad_norm": 77.89308166503906,
|
56 |
+
"learning_rate": 8.687258687258688e-07,
|
57 |
+
"loss": 7.413,
|
58 |
+
"step": 21
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.04627249357326478,
|
62 |
+
"grad_norm": Infinity,
|
63 |
+
"learning_rate": 9.845559845559844e-07,
|
64 |
+
"loss": 7.7803,
|
65 |
+
"step": 24
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.05012853470437018,
|
69 |
+
"eval_Qnli-dev_cosine_accuracy": 0.609375,
|
70 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.9602330923080444,
|
71 |
+
"eval_Qnli-dev_cosine_ap": 0.587737015984062,
|
72 |
+
"eval_Qnli-dev_cosine_f1": 0.6358695652173914,
|
73 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.7741116285324097,
|
74 |
+
"eval_Qnli-dev_cosine_precision": 0.468,
|
75 |
+
"eval_Qnli-dev_cosine_recall": 0.9915254237288136,
|
76 |
+
"eval_Qnli-dev_dot_accuracy": 0.56640625,
|
77 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 750.123779296875,
|
78 |
+
"eval_Qnli-dev_dot_ap": 0.5198069471819926,
|
79 |
+
"eval_Qnli-dev_dot_f1": 0.6318607764390897,
|
80 |
+
"eval_Qnli-dev_dot_f1_threshold": 387.37371826171875,
|
81 |
+
"eval_Qnli-dev_dot_precision": 0.461839530332681,
|
82 |
+
"eval_Qnli-dev_dot_recall": 1.0,
|
83 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.6171875,
|
84 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 7.253280162811279,
|
85 |
+
"eval_Qnli-dev_euclidean_ap": 0.5993562103857255,
|
86 |
+
"eval_Qnli-dev_euclidean_f1": 0.6376021798365122,
|
87 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 17.42431640625,
|
88 |
+
"eval_Qnli-dev_euclidean_precision": 0.46987951807228917,
|
89 |
+
"eval_Qnli-dev_euclidean_recall": 0.9915254237288136,
|
90 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.625,
|
91 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 212.0604705810547,
|
92 |
+
"eval_Qnli-dev_manhattan_ap": 0.609409682371795,
|
93 |
+
"eval_Qnli-dev_manhattan_f1": 0.6358695652173914,
|
94 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 461.66192626953125,
|
95 |
+
"eval_Qnli-dev_manhattan_precision": 0.468,
|
96 |
+
"eval_Qnli-dev_manhattan_recall": 0.9915254237288136,
|
97 |
+
"eval_Qnli-dev_max_accuracy": 0.625,
|
98 |
+
"eval_Qnli-dev_max_accuracy_threshold": 750.123779296875,
|
99 |
+
"eval_Qnli-dev_max_ap": 0.609409682371795,
|
100 |
+
"eval_Qnli-dev_max_f1": 0.6376021798365122,
|
101 |
+
"eval_Qnli-dev_max_f1_threshold": 461.66192626953125,
|
102 |
+
"eval_Qnli-dev_max_precision": 0.46987951807228917,
|
103 |
+
"eval_Qnli-dev_max_recall": 1.0,
|
104 |
+
"eval_allNLI-dev_cosine_accuracy": 0.666015625,
|
105 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9931652545928955,
|
106 |
+
"eval_allNLI-dev_cosine_ap": 0.3330277035108763,
|
107 |
+
"eval_allNLI-dev_cosine_f1": 0.5088235294117648,
|
108 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.40660202503204346,
|
109 |
+
"eval_allNLI-dev_cosine_precision": 0.34122287968441817,
|
110 |
+
"eval_allNLI-dev_cosine_recall": 1.0,
|
111 |
+
"eval_allNLI-dev_dot_accuracy": 0.662109375,
|
112 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 810.7718505859375,
|
113 |
+
"eval_allNLI-dev_dot_ap": 0.2980492563498839,
|
114 |
+
"eval_allNLI-dev_dot_f1": 0.5088235294117648,
|
115 |
+
"eval_allNLI-dev_dot_f1_threshold": 294.67071533203125,
|
116 |
+
"eval_allNLI-dev_dot_precision": 0.34122287968441817,
|
117 |
+
"eval_allNLI-dev_dot_recall": 1.0,
|
118 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.666015625,
|
119 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 3.3851852416992188,
|
120 |
+
"eval_allNLI-dev_euclidean_ap": 0.33790858355605125,
|
121 |
+
"eval_allNLI-dev_euclidean_f1": 0.5095729013254787,
|
122 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 28.78042984008789,
|
123 |
+
"eval_allNLI-dev_euclidean_precision": 0.34189723320158105,
|
124 |
+
"eval_allNLI-dev_euclidean_recall": 1.0,
|
125 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.666015625,
|
126 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 98.2369613647461,
|
127 |
+
"eval_allNLI-dev_manhattan_ap": 0.3452833632811151,
|
128 |
+
"eval_allNLI-dev_manhattan_f1": 0.5091463414634146,
|
129 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 626.5145874023438,
|
130 |
+
"eval_allNLI-dev_manhattan_precision": 0.34575569358178054,
|
131 |
+
"eval_allNLI-dev_manhattan_recall": 0.9653179190751445,
|
132 |
+
"eval_allNLI-dev_max_accuracy": 0.666015625,
|
133 |
+
"eval_allNLI-dev_max_accuracy_threshold": 810.7718505859375,
|
134 |
+
"eval_allNLI-dev_max_ap": 0.3452833632811151,
|
135 |
+
"eval_allNLI-dev_max_f1": 0.5095729013254787,
|
136 |
+
"eval_allNLI-dev_max_f1_threshold": 626.5145874023438,
|
137 |
+
"eval_allNLI-dev_max_precision": 0.34575569358178054,
|
138 |
+
"eval_allNLI-dev_max_recall": 1.0,
|
139 |
+
"eval_sequential_score": 0.609409682371795,
|
140 |
+
"eval_sts-test_pearson_cosine": 0.24255956652335486,
|
141 |
+
"eval_sts-test_pearson_dot": 0.18022025813169615,
|
142 |
+
"eval_sts-test_pearson_euclidean": 0.28657386934462287,
|
143 |
+
"eval_sts-test_pearson_manhattan": 0.32587411772454034,
|
144 |
+
"eval_sts-test_pearson_max": 0.32587411772454034,
|
145 |
+
"eval_sts-test_spearman_cosine": 0.32225123770630715,
|
146 |
+
"eval_sts-test_spearman_dot": 0.17184726031108927,
|
147 |
+
"eval_sts-test_spearman_euclidean": 0.3279675400801376,
|
148 |
+
"eval_sts-test_spearman_manhattan": 0.3635547276663291,
|
149 |
+
"eval_sts-test_spearman_max": 0.3635547276663291,
|
150 |
+
"eval_vitaminc-pairs_loss": 4.122440338134766,
|
151 |
+
"eval_vitaminc-pairs_runtime": 4.7337,
|
152 |
+
"eval_vitaminc-pairs_samples_per_second": 27.04,
|
153 |
+
"eval_vitaminc-pairs_steps_per_second": 0.211,
|
154 |
+
"step": 26
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.05012853470437018,
|
158 |
+
"eval_negation-triplets_loss": 3.917590379714966,
|
159 |
+
"eval_negation-triplets_runtime": 3.3679,
|
160 |
+
"eval_negation-triplets_samples_per_second": 38.006,
|
161 |
+
"eval_negation-triplets_steps_per_second": 0.297,
|
162 |
+
"step": 26
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.05012853470437018,
|
166 |
+
"eval_scitail-pairs-pos_loss": 2.5062460899353027,
|
167 |
+
"eval_scitail-pairs-pos_runtime": 2.7274,
|
168 |
+
"eval_scitail-pairs-pos_samples_per_second": 46.931,
|
169 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.367,
|
170 |
+
"step": 26
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05012853470437018,
|
174 |
+
"eval_scitail-pairs-qa_loss": 2.978612184524536,
|
175 |
+
"eval_scitail-pairs-qa_runtime": 2.2452,
|
176 |
+
"eval_scitail-pairs-qa_samples_per_second": 57.011,
|
177 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.445,
|
178 |
+
"step": 26
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.05012853470437018,
|
182 |
+
"eval_xsum-pairs_loss": 5.394700050354004,
|
183 |
+
"eval_xsum-pairs_runtime": 3.0886,
|
184 |
+
"eval_xsum-pairs_samples_per_second": 41.442,
|
185 |
+
"eval_xsum-pairs_steps_per_second": 0.324,
|
186 |
+
"step": 26
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.05012853470437018,
|
190 |
+
"eval_sciq_pairs_loss": 0.8977569937705994,
|
191 |
+
"eval_sciq_pairs_runtime": 4.7516,
|
192 |
+
"eval_sciq_pairs_samples_per_second": 26.938,
|
193 |
+
"eval_sciq_pairs_steps_per_second": 0.21,
|
194 |
+
"step": 26
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.05012853470437018,
|
198 |
+
"eval_qasc_pairs_loss": 6.6808977127075195,
|
199 |
+
"eval_qasc_pairs_runtime": 2.1087,
|
200 |
+
"eval_qasc_pairs_samples_per_second": 60.701,
|
201 |
+
"eval_qasc_pairs_steps_per_second": 0.474,
|
202 |
+
"step": 26
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 0.05012853470437018,
|
206 |
+
"eval_openbookqa_pairs_loss": 6.402599334716797,
|
207 |
+
"eval_openbookqa_pairs_runtime": 2.2222,
|
208 |
+
"eval_openbookqa_pairs_samples_per_second": 57.601,
|
209 |
+
"eval_openbookqa_pairs_steps_per_second": 0.45,
|
210 |
+
"step": 26
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.05012853470437018,
|
214 |
+
"eval_msmarco_pairs_loss": 15.782674789428711,
|
215 |
+
"eval_msmarco_pairs_runtime": 2.307,
|
216 |
+
"eval_msmarco_pairs_samples_per_second": 55.483,
|
217 |
+
"eval_msmarco_pairs_steps_per_second": 0.433,
|
218 |
+
"step": 26
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.05012853470437018,
|
222 |
+
"eval_nq_pairs_loss": 10.447425842285156,
|
223 |
+
"eval_nq_pairs_runtime": 3.6239,
|
224 |
+
"eval_nq_pairs_samples_per_second": 35.321,
|
225 |
+
"eval_nq_pairs_steps_per_second": 0.276,
|
226 |
+
"step": 26
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.05012853470437018,
|
230 |
+
"eval_trivia_pairs_loss": 6.107333183288574,
|
231 |
+
"eval_trivia_pairs_runtime": 3.1299,
|
232 |
+
"eval_trivia_pairs_samples_per_second": 40.895,
|
233 |
+
"eval_trivia_pairs_steps_per_second": 0.319,
|
234 |
+
"step": 26
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.05012853470437018,
|
238 |
+
"eval_gooaq_pairs_loss": 8.095273971557617,
|
239 |
+
"eval_gooaq_pairs_runtime": 2.1098,
|
240 |
+
"eval_gooaq_pairs_samples_per_second": 60.669,
|
241 |
+
"eval_gooaq_pairs_steps_per_second": 0.474,
|
242 |
+
"step": 26
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.05012853470437018,
|
246 |
+
"eval_paws-pos_loss": 1.6077361106872559,
|
247 |
+
"eval_paws-pos_runtime": 2.2412,
|
248 |
+
"eval_paws-pos_samples_per_second": 57.112,
|
249 |
+
"eval_paws-pos_steps_per_second": 0.446,
|
250 |
+
"step": 26
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.05012853470437018,
|
254 |
+
"eval_global_dataset_loss": 6.348417282104492,
|
255 |
+
"eval_global_dataset_runtime": 8.3683,
|
256 |
+
"eval_global_dataset_samples_per_second": 38.837,
|
257 |
+
"eval_global_dataset_steps_per_second": 0.358,
|
258 |
+
"step": 26
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.05205655526992288,
|
262 |
+
"grad_norm": 172.1571807861328,
|
263 |
+
"learning_rate": 1.1583011583011583e-06,
|
264 |
+
"loss": 7.9729,
|
265 |
+
"step": 27
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.05784061696658098,
|
269 |
+
"grad_norm": 106.302001953125,
|
270 |
+
"learning_rate": 1.3320463320463321e-06,
|
271 |
+
"loss": 6.0587,
|
272 |
+
"step": 30
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.06362467866323908,
|
276 |
+
"grad_norm": 72.31057739257812,
|
277 |
+
"learning_rate": 1.5057915057915057e-06,
|
278 |
+
"loss": 5.6742,
|
279 |
+
"step": 33
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.06940874035989718,
|
283 |
+
"grad_norm": 258.2577209472656,
|
284 |
+
"learning_rate": 1.6795366795366796e-06,
|
285 |
+
"loss": 6.5406,
|
286 |
+
"step": 36
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 0.07519280205655526,
|
290 |
+
"grad_norm": 156.0019073486328,
|
291 |
+
"learning_rate": 1.7953667953667953e-06,
|
292 |
+
"loss": 5.4429,
|
293 |
+
"step": 39
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.08097686375321336,
|
297 |
+
"grad_norm": 227.6062469482422,
|
298 |
+
"learning_rate": 1.969111969111969e-06,
|
299 |
+
"loss": 6.7855,
|
300 |
+
"step": 42
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.08676092544987146,
|
304 |
+
"grad_norm": 221.12347412109375,
|
305 |
+
"learning_rate": 2.1428571428571427e-06,
|
306 |
+
"loss": 5.3403,
|
307 |
+
"step": 45
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.09254498714652956,
|
311 |
+
"grad_norm": 363.6319274902344,
|
312 |
+
"learning_rate": 2.3166023166023166e-06,
|
313 |
+
"loss": 4.2282,
|
314 |
+
"step": 48
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.09832904884318766,
|
318 |
+
"grad_norm": 119.22310638427734,
|
319 |
+
"learning_rate": 2.4903474903474904e-06,
|
320 |
+
"loss": 4.7411,
|
321 |
+
"step": 51
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.10025706940874037,
|
325 |
+
"eval_Qnli-dev_cosine_accuracy": 0.58984375,
|
326 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.9407284259796143,
|
327 |
+
"eval_Qnli-dev_cosine_ap": 0.5957496162735323,
|
328 |
+
"eval_Qnli-dev_cosine_f1": 0.6314363143631436,
|
329 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.7475543022155762,
|
330 |
+
"eval_Qnli-dev_cosine_precision": 0.4641434262948207,
|
331 |
+
"eval_Qnli-dev_cosine_recall": 0.9872881355932204,
|
332 |
+
"eval_Qnli-dev_dot_accuracy": 0.591796875,
|
333 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 787.171630859375,
|
334 |
+
"eval_Qnli-dev_dot_ap": 0.556540262374452,
|
335 |
+
"eval_Qnli-dev_dot_f1": 0.6328767123287672,
|
336 |
+
"eval_Qnli-dev_dot_f1_threshold": 576.0565795898438,
|
337 |
+
"eval_Qnli-dev_dot_precision": 0.4676113360323887,
|
338 |
+
"eval_Qnli-dev_dot_recall": 0.9788135593220338,
|
339 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.587890625,
|
340 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 9.92269515991211,
|
341 |
+
"eval_Qnli-dev_euclidean_ap": 0.5913529071853763,
|
342 |
+
"eval_Qnli-dev_euclidean_f1": 0.6322930800542741,
|
343 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 19.546676635742188,
|
344 |
+
"eval_Qnli-dev_euclidean_precision": 0.46506986027944114,
|
345 |
+
"eval_Qnli-dev_euclidean_recall": 0.9872881355932204,
|
346 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.591796875,
|
347 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 314.9248352050781,
|
348 |
+
"eval_Qnli-dev_manhattan_ap": 0.5944730102616272,
|
349 |
+
"eval_Qnli-dev_manhattan_f1": 0.632952691680261,
|
350 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 424.9676818847656,
|
351 |
+
"eval_Qnli-dev_manhattan_precision": 0.5145888594164456,
|
352 |
+
"eval_Qnli-dev_manhattan_recall": 0.8220338983050848,
|
353 |
+
"eval_Qnli-dev_max_accuracy": 0.591796875,
|
354 |
+
"eval_Qnli-dev_max_accuracy_threshold": 787.171630859375,
|
355 |
+
"eval_Qnli-dev_max_ap": 0.5957496162735323,
|
356 |
+
"eval_Qnli-dev_max_f1": 0.632952691680261,
|
357 |
+
"eval_Qnli-dev_max_f1_threshold": 576.0565795898438,
|
358 |
+
"eval_Qnli-dev_max_precision": 0.5145888594164456,
|
359 |
+
"eval_Qnli-dev_max_recall": 0.9872881355932204,
|
360 |
+
"eval_allNLI-dev_cosine_accuracy": 0.666015625,
|
361 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9878466129302979,
|
362 |
+
"eval_allNLI-dev_cosine_ap": 0.3898337405414008,
|
363 |
+
"eval_allNLI-dev_cosine_f1": 0.5065885797950219,
|
364 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.6534674167633057,
|
365 |
+
"eval_allNLI-dev_cosine_precision": 0.3392156862745098,
|
366 |
+
"eval_allNLI-dev_cosine_recall": 1.0,
|
367 |
+
"eval_allNLI-dev_dot_accuracy": 0.666015625,
|
368 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 925.5989990234375,
|
369 |
+
"eval_allNLI-dev_dot_ap": 0.3391870470132937,
|
370 |
+
"eval_allNLI-dev_dot_f1": 0.5046153846153847,
|
371 |
+
"eval_allNLI-dev_dot_f1_threshold": 608.7012939453125,
|
372 |
+
"eval_allNLI-dev_dot_precision": 0.3438155136268344,
|
373 |
+
"eval_allNLI-dev_dot_recall": 0.9479768786127167,
|
374 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.666015625,
|
375 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 4.708977699279785,
|
376 |
+
"eval_allNLI-dev_euclidean_ap": 0.39556533875401867,
|
377 |
+
"eval_allNLI-dev_euclidean_f1": 0.5080763582966226,
|
378 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 23.160057067871094,
|
379 |
+
"eval_allNLI-dev_euclidean_precision": 0.3405511811023622,
|
380 |
+
"eval_allNLI-dev_euclidean_recall": 1.0,
|
381 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.666015625,
|
382 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 142.7260284423828,
|
383 |
+
"eval_allNLI-dev_manhattan_ap": 0.4050661514301679,
|
384 |
+
"eval_allNLI-dev_manhattan_f1": 0.5118483412322274,
|
385 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 504.7154846191406,
|
386 |
+
"eval_allNLI-dev_manhattan_precision": 0.3521739130434783,
|
387 |
+
"eval_allNLI-dev_manhattan_recall": 0.9364161849710982,
|
388 |
+
"eval_allNLI-dev_max_accuracy": 0.666015625,
|
389 |
+
"eval_allNLI-dev_max_accuracy_threshold": 925.5989990234375,
|
390 |
+
"eval_allNLI-dev_max_ap": 0.4050661514301679,
|
391 |
+
"eval_allNLI-dev_max_f1": 0.5118483412322274,
|
392 |
+
"eval_allNLI-dev_max_f1_threshold": 608.7012939453125,
|
393 |
+
"eval_allNLI-dev_max_precision": 0.3521739130434783,
|
394 |
+
"eval_allNLI-dev_max_recall": 1.0,
|
395 |
+
"eval_sequential_score": 0.5957496162735323,
|
396 |
+
"eval_sts-test_pearson_cosine": 0.5067228548513025,
|
397 |
+
"eval_sts-test_pearson_dot": 0.28867418819353924,
|
398 |
+
"eval_sts-test_pearson_euclidean": 0.5315956249457565,
|
399 |
+
"eval_sts-test_pearson_manhattan": 0.5620907203006935,
|
400 |
+
"eval_sts-test_pearson_max": 0.5620907203006935,
|
401 |
+
"eval_sts-test_spearman_cosine": 0.5257409961657202,
|
402 |
+
"eval_sts-test_spearman_dot": 0.280153994622986,
|
403 |
+
"eval_sts-test_spearman_euclidean": 0.5306475244646732,
|
404 |
+
"eval_sts-test_spearman_manhattan": 0.5605804796765843,
|
405 |
+
"eval_sts-test_spearman_max": 0.5605804796765843,
|
406 |
+
"eval_vitaminc-pairs_loss": 3.929797887802124,
|
407 |
+
"eval_vitaminc-pairs_runtime": 4.6018,
|
408 |
+
"eval_vitaminc-pairs_samples_per_second": 27.815,
|
409 |
+
"eval_vitaminc-pairs_steps_per_second": 0.217,
|
410 |
+
"step": 52
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.10025706940874037,
|
414 |
+
"eval_negation-triplets_loss": 3.267047166824341,
|
415 |
+
"eval_negation-triplets_runtime": 3.2813,
|
416 |
+
"eval_negation-triplets_samples_per_second": 39.009,
|
417 |
+
"eval_negation-triplets_steps_per_second": 0.305,
|
418 |
+
"step": 52
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.10025706940874037,
|
422 |
+
"eval_scitail-pairs-pos_loss": 1.134178876876831,
|
423 |
+
"eval_scitail-pairs-pos_runtime": 2.6261,
|
424 |
+
"eval_scitail-pairs-pos_samples_per_second": 48.742,
|
425 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.381,
|
426 |
+
"step": 52
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.10025706940874037,
|
430 |
+
"eval_scitail-pairs-qa_loss": 2.0085601806640625,
|
431 |
+
"eval_scitail-pairs-qa_runtime": 2.2161,
|
432 |
+
"eval_scitail-pairs-qa_samples_per_second": 57.759,
|
433 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.451,
|
434 |
+
"step": 52
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.10025706940874037,
|
438 |
+
"eval_xsum-pairs_loss": 4.462350845336914,
|
439 |
+
"eval_xsum-pairs_runtime": 3.1126,
|
440 |
+
"eval_xsum-pairs_samples_per_second": 41.124,
|
441 |
+
"eval_xsum-pairs_steps_per_second": 0.321,
|
442 |
+
"step": 52
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 0.10025706940874037,
|
446 |
+
"eval_sciq_pairs_loss": 0.71834796667099,
|
447 |
+
"eval_sciq_pairs_runtime": 4.7505,
|
448 |
+
"eval_sciq_pairs_samples_per_second": 26.944,
|
449 |
+
"eval_sciq_pairs_steps_per_second": 0.211,
|
450 |
+
"step": 52
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.10025706940874037,
|
454 |
+
"eval_qasc_pairs_loss": 4.889453887939453,
|
455 |
+
"eval_qasc_pairs_runtime": 2.1101,
|
456 |
+
"eval_qasc_pairs_samples_per_second": 60.662,
|
457 |
+
"eval_qasc_pairs_steps_per_second": 0.474,
|
458 |
+
"step": 52
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.10025706940874037,
|
462 |
+
"eval_openbookqa_pairs_loss": 3.4273369312286377,
|
463 |
+
"eval_openbookqa_pairs_runtime": 2.2311,
|
464 |
+
"eval_openbookqa_pairs_samples_per_second": 57.371,
|
465 |
+
"eval_openbookqa_pairs_steps_per_second": 0.448,
|
466 |
+
"step": 52
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.10025706940874037,
|
470 |
+
"eval_msmarco_pairs_loss": 7.532540321350098,
|
471 |
+
"eval_msmarco_pairs_runtime": 2.2959,
|
472 |
+
"eval_msmarco_pairs_samples_per_second": 55.751,
|
473 |
+
"eval_msmarco_pairs_steps_per_second": 0.436,
|
474 |
+
"step": 52
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.10025706940874037,
|
478 |
+
"eval_nq_pairs_loss": 6.29541015625,
|
479 |
+
"eval_nq_pairs_runtime": 3.661,
|
480 |
+
"eval_nq_pairs_samples_per_second": 34.963,
|
481 |
+
"eval_nq_pairs_steps_per_second": 0.273,
|
482 |
+
"step": 52
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.10025706940874037,
|
486 |
+
"eval_trivia_pairs_loss": 5.789977073669434,
|
487 |
+
"eval_trivia_pairs_runtime": 3.0826,
|
488 |
+
"eval_trivia_pairs_samples_per_second": 41.523,
|
489 |
+
"eval_trivia_pairs_steps_per_second": 0.324,
|
490 |
+
"step": 52
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 0.10025706940874037,
|
494 |
+
"eval_gooaq_pairs_loss": 5.785163879394531,
|
495 |
+
"eval_gooaq_pairs_runtime": 2.1382,
|
496 |
+
"eval_gooaq_pairs_samples_per_second": 59.863,
|
497 |
+
"eval_gooaq_pairs_steps_per_second": 0.468,
|
498 |
+
"step": 52
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.10025706940874037,
|
502 |
+
"eval_paws-pos_loss": 0.47830095887184143,
|
503 |
+
"eval_paws-pos_runtime": 2.3113,
|
504 |
+
"eval_paws-pos_samples_per_second": 55.379,
|
505 |
+
"eval_paws-pos_steps_per_second": 0.433,
|
506 |
+
"step": 52
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.10025706940874037,
|
510 |
+
"eval_global_dataset_loss": 3.8913991451263428,
|
511 |
+
"eval_global_dataset_runtime": 8.3623,
|
512 |
+
"eval_global_dataset_samples_per_second": 38.865,
|
513 |
+
"eval_global_dataset_steps_per_second": 0.359,
|
514 |
+
"step": 52
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.10411311053984576,
|
518 |
+
"grad_norm": 55.83478546142578,
|
519 |
+
"learning_rate": 2.6640926640926642e-06,
|
520 |
+
"loss": 3.9082,
|
521 |
+
"step": 54
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.10989717223650386,
|
525 |
+
"grad_norm": 57.4188117980957,
|
526 |
+
"learning_rate": 2.7799227799227797e-06,
|
527 |
+
"loss": 4.3922,
|
528 |
+
"step": 57
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.11568123393316196,
|
532 |
+
"grad_norm": 116.89701843261719,
|
533 |
+
"learning_rate": 2.9536679536679535e-06,
|
534 |
+
"loss": 3.2655,
|
535 |
+
"step": 60
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.12146529562982006,
|
539 |
+
"grad_norm": 53.49580001831055,
|
540 |
+
"learning_rate": 3.1274131274131274e-06,
|
541 |
+
"loss": 3.1043,
|
542 |
+
"step": 63
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.12724935732647816,
|
546 |
+
"grad_norm": 51.044410705566406,
|
547 |
+
"learning_rate": 3.3011583011583012e-06,
|
548 |
+
"loss": 2.2074,
|
549 |
+
"step": 66
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.13303341902313626,
|
553 |
+
"grad_norm": 139.9288787841797,
|
554 |
+
"learning_rate": 3.474903474903475e-06,
|
555 |
+
"loss": 1.4414,
|
556 |
+
"step": 69
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.13881748071979436,
|
560 |
+
"grad_norm": 37.221168518066406,
|
561 |
+
"learning_rate": 3.5907335907335905e-06,
|
562 |
+
"loss": 1.5937,
|
563 |
+
"step": 72
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.14460154241645246,
|
567 |
+
"grad_norm": 25.855661392211914,
|
568 |
+
"learning_rate": 3.7644787644787644e-06,
|
569 |
+
"loss": 1.0306,
|
570 |
+
"step": 75
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.15038560411311053,
|
574 |
+
"grad_norm": 29.79730796813965,
|
575 |
+
"learning_rate": 3.938223938223938e-06,
|
576 |
+
"loss": 1.0784,
|
577 |
+
"step": 78
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.15038560411311053,
|
581 |
+
"eval_Qnli-dev_cosine_accuracy": 0.638671875,
|
582 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.856202244758606,
|
583 |
+
"eval_Qnli-dev_cosine_ap": 0.6292803059732273,
|
584 |
+
"eval_Qnli-dev_cosine_f1": 0.6408839779005525,
|
585 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.6206527352333069,
|
586 |
+
"eval_Qnli-dev_cosine_precision": 0.47540983606557374,
|
587 |
+
"eval_Qnli-dev_cosine_recall": 0.9830508474576272,
|
588 |
+
"eval_Qnli-dev_dot_accuracy": 0.626953125,
|
589 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 887.830810546875,
|
590 |
+
"eval_Qnli-dev_dot_ap": 0.592075047542057,
|
591 |
+
"eval_Qnli-dev_dot_f1": 0.640990371389271,
|
592 |
+
"eval_Qnli-dev_dot_f1_threshold": 601.355224609375,
|
593 |
+
"eval_Qnli-dev_dot_precision": 0.4745417515274949,
|
594 |
+
"eval_Qnli-dev_dot_recall": 0.9872881355932204,
|
595 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.638671875,
|
596 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 17.094371795654297,
|
597 |
+
"eval_Qnli-dev_euclidean_ap": 0.6289192660680781,
|
598 |
+
"eval_Qnli-dev_euclidean_f1": 0.6423357664233577,
|
599 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 24.894683837890625,
|
600 |
+
"eval_Qnli-dev_euclidean_precision": 0.48997772828507796,
|
601 |
+
"eval_Qnli-dev_euclidean_recall": 0.9322033898305084,
|
602 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.640625,
|
603 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 526.0111083984375,
|
604 |
+
"eval_Qnli-dev_manhattan_ap": 0.6256143574081243,
|
605 |
+
"eval_Qnli-dev_manhattan_f1": 0.6417704011065007,
|
606 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 853.242431640625,
|
607 |
+
"eval_Qnli-dev_manhattan_precision": 0.47638603696098564,
|
608 |
+
"eval_Qnli-dev_manhattan_recall": 0.9830508474576272,
|
609 |
+
"eval_Qnli-dev_max_accuracy": 0.640625,
|
610 |
+
"eval_Qnli-dev_max_accuracy_threshold": 887.830810546875,
|
611 |
+
"eval_Qnli-dev_max_ap": 0.6292803059732273,
|
612 |
+
"eval_Qnli-dev_max_f1": 0.6423357664233577,
|
613 |
+
"eval_Qnli-dev_max_f1_threshold": 853.242431640625,
|
614 |
+
"eval_Qnli-dev_max_precision": 0.48997772828507796,
|
615 |
+
"eval_Qnli-dev_max_recall": 0.9872881355932204,
|
616 |
+
"eval_allNLI-dev_cosine_accuracy": 0.6796875,
|
617 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9426460862159729,
|
618 |
+
"eval_allNLI-dev_cosine_ap": 0.473508692504868,
|
619 |
+
"eval_allNLI-dev_cosine_f1": 0.5328947368421053,
|
620 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.6884603500366211,
|
621 |
+
"eval_allNLI-dev_cosine_precision": 0.3724137931034483,
|
622 |
+
"eval_allNLI-dev_cosine_recall": 0.9364161849710982,
|
623 |
+
"eval_allNLI-dev_dot_accuracy": 0.673828125,
|
624 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 980.9593505859375,
|
625 |
+
"eval_allNLI-dev_dot_ap": 0.44188020452374555,
|
626 |
+
"eval_allNLI-dev_dot_f1": 0.53156146179402,
|
627 |
+
"eval_allNLI-dev_dot_f1_threshold": 683.7774658203125,
|
628 |
+
"eval_allNLI-dev_dot_precision": 0.372960372960373,
|
629 |
+
"eval_allNLI-dev_dot_recall": 0.9248554913294798,
|
630 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.6796875,
|
631 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 10.647405624389648,
|
632 |
+
"eval_allNLI-dev_euclidean_ap": 0.47440611686548606,
|
633 |
+
"eval_allNLI-dev_euclidean_f1": 0.5292207792207793,
|
634 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 25.08370590209961,
|
635 |
+
"eval_allNLI-dev_euclidean_precision": 0.36794582392776526,
|
636 |
+
"eval_allNLI-dev_euclidean_recall": 0.9421965317919075,
|
637 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.6796875,
|
638 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 318.408203125,
|
639 |
+
"eval_allNLI-dev_manhattan_ap": 0.4747137405292771,
|
640 |
+
"eval_allNLI-dev_manhattan_f1": 0.5305343511450381,
|
641 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 697.8466796875,
|
642 |
+
"eval_allNLI-dev_manhattan_precision": 0.396011396011396,
|
643 |
+
"eval_allNLI-dev_manhattan_recall": 0.8034682080924855,
|
644 |
+
"eval_allNLI-dev_max_accuracy": 0.6796875,
|
645 |
+
"eval_allNLI-dev_max_accuracy_threshold": 980.9593505859375,
|
646 |
+
"eval_allNLI-dev_max_ap": 0.4747137405292771,
|
647 |
+
"eval_allNLI-dev_max_f1": 0.5328947368421053,
|
648 |
+
"eval_allNLI-dev_max_f1_threshold": 697.8466796875,
|
649 |
+
"eval_allNLI-dev_max_precision": 0.396011396011396,
|
650 |
+
"eval_allNLI-dev_max_recall": 0.9421965317919075,
|
651 |
+
"eval_sequential_score": 0.6292803059732273,
|
652 |
+
"eval_sts-test_pearson_cosine": 0.8216305666941104,
|
653 |
+
"eval_sts-test_pearson_dot": 0.7893058557928705,
|
654 |
+
"eval_sts-test_pearson_euclidean": 0.841701309677291,
|
655 |
+
"eval_sts-test_pearson_manhattan": 0.8438559225680149,
|
656 |
+
"eval_sts-test_pearson_max": 0.8438559225680149,
|
657 |
+
"eval_sts-test_spearman_cosine": 0.8291168678373173,
|
658 |
+
"eval_sts-test_spearman_dot": 0.7782024179758329,
|
659 |
+
"eval_sts-test_spearman_euclidean": 0.829029110613729,
|
660 |
+
"eval_sts-test_spearman_manhattan": 0.8308224279114665,
|
661 |
+
"eval_sts-test_spearman_max": 0.8308224279114665,
|
662 |
+
"eval_vitaminc-pairs_loss": 3.763850212097168,
|
663 |
+
"eval_vitaminc-pairs_runtime": 4.6142,
|
664 |
+
"eval_vitaminc-pairs_samples_per_second": 27.741,
|
665 |
+
"eval_vitaminc-pairs_steps_per_second": 0.217,
|
666 |
+
"step": 78
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 0.15038560411311053,
|
670 |
+
"eval_negation-triplets_loss": 1.4772971868515015,
|
671 |
+
"eval_negation-triplets_runtime": 3.4145,
|
672 |
+
"eval_negation-triplets_samples_per_second": 37.488,
|
673 |
+
"eval_negation-triplets_steps_per_second": 0.293,
|
674 |
+
"step": 78
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.15038560411311053,
|
678 |
+
"eval_scitail-pairs-pos_loss": 0.11086193472146988,
|
679 |
+
"eval_scitail-pairs-pos_runtime": 2.8091,
|
680 |
+
"eval_scitail-pairs-pos_samples_per_second": 45.565,
|
681 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.356,
|
682 |
+
"step": 78
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.15038560411311053,
|
686 |
+
"eval_scitail-pairs-qa_loss": 0.12822097539901733,
|
687 |
+
"eval_scitail-pairs-qa_runtime": 2.312,
|
688 |
+
"eval_scitail-pairs-qa_samples_per_second": 55.364,
|
689 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.433,
|
690 |
+
"step": 78
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.15038560411311053,
|
694 |
+
"eval_xsum-pairs_loss": 0.43598121404647827,
|
695 |
+
"eval_xsum-pairs_runtime": 3.1471,
|
696 |
+
"eval_xsum-pairs_samples_per_second": 40.673,
|
697 |
+
"eval_xsum-pairs_steps_per_second": 0.318,
|
698 |
+
"step": 78
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.15038560411311053,
|
702 |
+
"eval_sciq_pairs_loss": 0.20338551700115204,
|
703 |
+
"eval_sciq_pairs_runtime": 4.8592,
|
704 |
+
"eval_sciq_pairs_samples_per_second": 26.342,
|
705 |
+
"eval_sciq_pairs_steps_per_second": 0.206,
|
706 |
+
"step": 78
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.15038560411311053,
|
710 |
+
"eval_qasc_pairs_loss": 1.3059492111206055,
|
711 |
+
"eval_qasc_pairs_runtime": 2.1191,
|
712 |
+
"eval_qasc_pairs_samples_per_second": 60.403,
|
713 |
+
"eval_qasc_pairs_steps_per_second": 0.472,
|
714 |
+
"step": 78
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.15038560411311053,
|
718 |
+
"eval_openbookqa_pairs_loss": 1.1711227893829346,
|
719 |
+
"eval_openbookqa_pairs_runtime": 2.2105,
|
720 |
+
"eval_openbookqa_pairs_samples_per_second": 57.907,
|
721 |
+
"eval_openbookqa_pairs_steps_per_second": 0.452,
|
722 |
+
"step": 78
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.15038560411311053,
|
726 |
+
"eval_msmarco_pairs_loss": 1.3856205940246582,
|
727 |
+
"eval_msmarco_pairs_runtime": 2.3065,
|
728 |
+
"eval_msmarco_pairs_samples_per_second": 55.494,
|
729 |
+
"eval_msmarco_pairs_steps_per_second": 0.434,
|
730 |
+
"step": 78
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.15038560411311053,
|
734 |
+
"eval_nq_pairs_loss": 1.2713654041290283,
|
735 |
+
"eval_nq_pairs_runtime": 3.6729,
|
736 |
+
"eval_nq_pairs_samples_per_second": 34.85,
|
737 |
+
"eval_nq_pairs_steps_per_second": 0.272,
|
738 |
+
"step": 78
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 0.15038560411311053,
|
742 |
+
"eval_trivia_pairs_loss": 1.082784652709961,
|
743 |
+
"eval_trivia_pairs_runtime": 3.145,
|
744 |
+
"eval_trivia_pairs_samples_per_second": 40.7,
|
745 |
+
"eval_trivia_pairs_steps_per_second": 0.318,
|
746 |
+
"step": 78
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.15038560411311053,
|
750 |
+
"eval_gooaq_pairs_loss": 0.703183650970459,
|
751 |
+
"eval_gooaq_pairs_runtime": 2.1975,
|
752 |
+
"eval_gooaq_pairs_samples_per_second": 58.248,
|
753 |
+
"eval_gooaq_pairs_steps_per_second": 0.455,
|
754 |
+
"step": 78
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 0.15038560411311053,
|
758 |
+
"eval_paws-pos_loss": 0.04489962384104729,
|
759 |
+
"eval_paws-pos_runtime": 2.3636,
|
760 |
+
"eval_paws-pos_samples_per_second": 54.155,
|
761 |
+
"eval_paws-pos_steps_per_second": 0.423,
|
762 |
+
"step": 78
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.15038560411311053,
|
766 |
+
"eval_global_dataset_loss": 0.6713590621948242,
|
767 |
+
"eval_global_dataset_runtime": 8.4648,
|
768 |
+
"eval_global_dataset_samples_per_second": 38.394,
|
769 |
+
"eval_global_dataset_steps_per_second": 0.354,
|
770 |
+
"step": 78
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.15616966580976863,
|
774 |
+
"grad_norm": 22.163389205932617,
|
775 |
+
"learning_rate": 4.1119691119691125e-06,
|
776 |
+
"loss": 0.9674,
|
777 |
+
"step": 81
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.16195372750642673,
|
781 |
+
"grad_norm": 25.121131896972656,
|
782 |
+
"learning_rate": 4.2857142857142855e-06,
|
783 |
+
"loss": 0.9335,
|
784 |
+
"step": 84
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 0.16773778920308482,
|
788 |
+
"grad_norm": 44.308528900146484,
|
789 |
+
"learning_rate": 4.45945945945946e-06,
|
790 |
+
"loss": 0.8806,
|
791 |
+
"step": 87
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.17352185089974292,
|
795 |
+
"grad_norm": 9.972362518310547,
|
796 |
+
"learning_rate": 4.633204633204633e-06,
|
797 |
+
"loss": 0.631,
|
798 |
+
"step": 90
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 0.17930591259640102,
|
802 |
+
"grad_norm": 13.609597206115723,
|
803 |
+
"learning_rate": 4.806949806949808e-06,
|
804 |
+
"loss": 0.3384,
|
805 |
+
"step": 93
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 0.18508997429305912,
|
809 |
+
"grad_norm": 6.892751693725586,
|
810 |
+
"learning_rate": 4.980694980694981e-06,
|
811 |
+
"loss": 0.404,
|
812 |
+
"step": 96
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.19087403598971722,
|
816 |
+
"grad_norm": 7.414526462554932,
|
817 |
+
"learning_rate": 5.154440154440155e-06,
|
818 |
+
"loss": 0.6488,
|
819 |
+
"step": 99
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.19665809768637532,
|
823 |
+
"grad_norm": 23.75099754333496,
|
824 |
+
"learning_rate": 5.3281853281853285e-06,
|
825 |
+
"loss": 0.4728,
|
826 |
+
"step": 102
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 0.20051413881748073,
|
830 |
+
"eval_Qnli-dev_cosine_accuracy": 0.693359375,
|
831 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.8276629447937012,
|
832 |
+
"eval_Qnli-dev_cosine_ap": 0.7127503402574797,
|
833 |
+
"eval_Qnli-dev_cosine_f1": 0.6730038022813688,
|
834 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.7761298418045044,
|
835 |
+
"eval_Qnli-dev_cosine_precision": 0.6103448275862069,
|
836 |
+
"eval_Qnli-dev_cosine_recall": 0.75,
|
837 |
+
"eval_Qnli-dev_dot_accuracy": 0.681640625,
|
838 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 857.5540771484375,
|
839 |
+
"eval_Qnli-dev_dot_ap": 0.6617256136301952,
|
840 |
+
"eval_Qnli-dev_dot_f1": 0.6678141135972461,
|
841 |
+
"eval_Qnli-dev_dot_f1_threshold": 756.1309204101562,
|
842 |
+
"eval_Qnli-dev_dot_precision": 0.5623188405797102,
|
843 |
+
"eval_Qnli-dev_dot_recall": 0.8220338983050848,
|
844 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.69140625,
|
845 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 18.45541763305664,
|
846 |
+
"eval_Qnli-dev_euclidean_ap": 0.7154480594709788,
|
847 |
+
"eval_Qnli-dev_euclidean_f1": 0.6725043782837128,
|
848 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 22.723068237304688,
|
849 |
+
"eval_Qnli-dev_euclidean_precision": 0.573134328358209,
|
850 |
+
"eval_Qnli-dev_euclidean_recall": 0.8135593220338984,
|
851 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.69140625,
|
852 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 585.3442993164062,
|
853 |
+
"eval_Qnli-dev_manhattan_ap": 0.713289230749026,
|
854 |
+
"eval_Qnli-dev_manhattan_f1": 0.6733333333333333,
|
855 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 733.2077026367188,
|
856 |
+
"eval_Qnli-dev_manhattan_precision": 0.554945054945055,
|
857 |
+
"eval_Qnli-dev_manhattan_recall": 0.8559322033898306,
|
858 |
+
"eval_Qnli-dev_max_accuracy": 0.693359375,
|
859 |
+
"eval_Qnli-dev_max_accuracy_threshold": 857.5540771484375,
|
860 |
+
"eval_Qnli-dev_max_ap": 0.7154480594709788,
|
861 |
+
"eval_Qnli-dev_max_f1": 0.6733333333333333,
|
862 |
+
"eval_Qnli-dev_max_f1_threshold": 756.1309204101562,
|
863 |
+
"eval_Qnli-dev_max_precision": 0.6103448275862069,
|
864 |
+
"eval_Qnli-dev_max_recall": 0.8559322033898306,
|
865 |
+
"eval_allNLI-dev_cosine_accuracy": 0.693359375,
|
866 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8820043802261353,
|
867 |
+
"eval_allNLI-dev_cosine_ap": 0.5380653098565689,
|
868 |
+
"eval_allNLI-dev_cosine_f1": 0.5689655172413792,
|
869 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.7308224439620972,
|
870 |
+
"eval_allNLI-dev_cosine_precision": 0.4536082474226804,
|
871 |
+
"eval_allNLI-dev_cosine_recall": 0.7630057803468208,
|
872 |
+
"eval_allNLI-dev_dot_accuracy": 0.6875,
|
873 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 904.0134887695312,
|
874 |
+
"eval_allNLI-dev_dot_ap": 0.5175334662627952,
|
875 |
+
"eval_allNLI-dev_dot_f1": 0.5675675675675675,
|
876 |
+
"eval_allNLI-dev_dot_f1_threshold": 762.652587890625,
|
877 |
+
"eval_allNLI-dev_dot_precision": 0.46494464944649444,
|
878 |
+
"eval_allNLI-dev_dot_recall": 0.7283236994219653,
|
879 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.6953125,
|
880 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 15.50227165222168,
|
881 |
+
"eval_allNLI-dev_euclidean_ap": 0.5410854453600531,
|
882 |
+
"eval_allNLI-dev_euclidean_f1": 0.5645514223194749,
|
883 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 23.451454162597656,
|
884 |
+
"eval_allNLI-dev_euclidean_precision": 0.45422535211267606,
|
885 |
+
"eval_allNLI-dev_euclidean_recall": 0.7456647398843931,
|
886 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.6953125,
|
887 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 518.75146484375,
|
888 |
+
"eval_allNLI-dev_manhattan_ap": 0.5430149701961973,
|
889 |
+
"eval_allNLI-dev_manhattan_f1": 0.5639913232104121,
|
890 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 733.8897705078125,
|
891 |
+
"eval_allNLI-dev_manhattan_precision": 0.4513888888888889,
|
892 |
+
"eval_allNLI-dev_manhattan_recall": 0.7514450867052023,
|
893 |
+
"eval_allNLI-dev_max_accuracy": 0.6953125,
|
894 |
+
"eval_allNLI-dev_max_accuracy_threshold": 904.0134887695312,
|
895 |
+
"eval_allNLI-dev_max_ap": 0.5430149701961973,
|
896 |
+
"eval_allNLI-dev_max_f1": 0.5689655172413792,
|
897 |
+
"eval_allNLI-dev_max_f1_threshold": 762.652587890625,
|
898 |
+
"eval_allNLI-dev_max_precision": 0.46494464944649444,
|
899 |
+
"eval_allNLI-dev_max_recall": 0.7630057803468208,
|
900 |
+
"eval_sequential_score": 0.7154480594709788,
|
901 |
+
"eval_sts-test_pearson_cosine": 0.8841456597076958,
|
902 |
+
"eval_sts-test_pearson_dot": 0.8597263949983345,
|
903 |
+
"eval_sts-test_pearson_euclidean": 0.8977156894521804,
|
904 |
+
"eval_sts-test_pearson_manhattan": 0.8973099980705126,
|
905 |
+
"eval_sts-test_pearson_max": 0.8977156894521804,
|
906 |
+
"eval_sts-test_spearman_cosine": 0.8862653474156692,
|
907 |
+
"eval_sts-test_spearman_dot": 0.8451249310521576,
|
908 |
+
"eval_sts-test_spearman_euclidean": 0.8866065310325173,
|
909 |
+
"eval_sts-test_spearman_manhattan": 0.8860841943095571,
|
910 |
+
"eval_sts-test_spearman_max": 0.8866065310325173,
|
911 |
+
"eval_vitaminc-pairs_loss": 3.314167022705078,
|
912 |
+
"eval_vitaminc-pairs_runtime": 4.4886,
|
913 |
+
"eval_vitaminc-pairs_samples_per_second": 28.517,
|
914 |
+
"eval_vitaminc-pairs_steps_per_second": 0.223,
|
915 |
+
"step": 104
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.20051413881748073,
|
919 |
+
"eval_negation-triplets_loss": 1.3400739431381226,
|
920 |
+
"eval_negation-triplets_runtime": 3.3068,
|
921 |
+
"eval_negation-triplets_samples_per_second": 38.708,
|
922 |
+
"eval_negation-triplets_steps_per_second": 0.302,
|
923 |
+
"step": 104
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.20051413881748073,
|
927 |
+
"eval_scitail-pairs-pos_loss": 0.07263079285621643,
|
928 |
+
"eval_scitail-pairs-pos_runtime": 2.6213,
|
929 |
+
"eval_scitail-pairs-pos_samples_per_second": 48.83,
|
930 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.381,
|
931 |
+
"step": 104
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"epoch": 0.20051413881748073,
|
935 |
+
"eval_scitail-pairs-qa_loss": 0.048478204756975174,
|
936 |
+
"eval_scitail-pairs-qa_runtime": 2.202,
|
937 |
+
"eval_scitail-pairs-qa_samples_per_second": 58.13,
|
938 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.454,
|
939 |
+
"step": 104
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.20051413881748073,
|
943 |
+
"eval_xsum-pairs_loss": 0.14091075956821442,
|
944 |
+
"eval_xsum-pairs_runtime": 3.0891,
|
945 |
+
"eval_xsum-pairs_samples_per_second": 41.436,
|
946 |
+
"eval_xsum-pairs_steps_per_second": 0.324,
|
947 |
+
"step": 104
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.20051413881748073,
|
951 |
+
"eval_sciq_pairs_loss": 0.1505264937877655,
|
952 |
+
"eval_sciq_pairs_runtime": 4.762,
|
953 |
+
"eval_sciq_pairs_samples_per_second": 26.879,
|
954 |
+
"eval_sciq_pairs_steps_per_second": 0.21,
|
955 |
+
"step": 104
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.20051413881748073,
|
959 |
+
"eval_qasc_pairs_loss": 0.4244489073753357,
|
960 |
+
"eval_qasc_pairs_runtime": 2.0783,
|
961 |
+
"eval_qasc_pairs_samples_per_second": 61.589,
|
962 |
+
"eval_qasc_pairs_steps_per_second": 0.481,
|
963 |
+
"step": 104
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.20051413881748073,
|
967 |
+
"eval_openbookqa_pairs_loss": 0.5923758745193481,
|
968 |
+
"eval_openbookqa_pairs_runtime": 2.1938,
|
969 |
+
"eval_openbookqa_pairs_samples_per_second": 58.345,
|
970 |
+
"eval_openbookqa_pairs_steps_per_second": 0.456,
|
971 |
+
"step": 104
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 0.20051413881748073,
|
975 |
+
"eval_msmarco_pairs_loss": 0.5882836580276489,
|
976 |
+
"eval_msmarco_pairs_runtime": 2.2483,
|
977 |
+
"eval_msmarco_pairs_samples_per_second": 56.933,
|
978 |
+
"eval_msmarco_pairs_steps_per_second": 0.445,
|
979 |
+
"step": 104
|
980 |
+
},
|
981 |
+
{
|
982 |
+
"epoch": 0.20051413881748073,
|
983 |
+
"eval_nq_pairs_loss": 0.5424538254737854,
|
984 |
+
"eval_nq_pairs_runtime": 3.6424,
|
985 |
+
"eval_nq_pairs_samples_per_second": 35.142,
|
986 |
+
"eval_nq_pairs_steps_per_second": 0.275,
|
987 |
+
"step": 104
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.20051413881748073,
|
991 |
+
"eval_trivia_pairs_loss": 0.6437886953353882,
|
992 |
+
"eval_trivia_pairs_runtime": 3.0809,
|
993 |
+
"eval_trivia_pairs_samples_per_second": 41.546,
|
994 |
+
"eval_trivia_pairs_steps_per_second": 0.325,
|
995 |
+
"step": 104
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.20051413881748073,
|
999 |
+
"eval_gooaq_pairs_loss": 0.22378715872764587,
|
1000 |
+
"eval_gooaq_pairs_runtime": 2.101,
|
1001 |
+
"eval_gooaq_pairs_samples_per_second": 60.924,
|
1002 |
+
"eval_gooaq_pairs_steps_per_second": 0.476,
|
1003 |
+
"step": 104
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.20051413881748073,
|
1007 |
+
"eval_paws-pos_loss": 0.03581737354397774,
|
1008 |
+
"eval_paws-pos_runtime": 2.2447,
|
1009 |
+
"eval_paws-pos_samples_per_second": 57.024,
|
1010 |
+
"eval_paws-pos_steps_per_second": 0.445,
|
1011 |
+
"step": 104
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.20051413881748073,
|
1015 |
+
"eval_global_dataset_loss": 0.3989756405353546,
|
1016 |
+
"eval_global_dataset_runtime": 8.402,
|
1017 |
+
"eval_global_dataset_samples_per_second": 38.681,
|
1018 |
+
"eval_global_dataset_steps_per_second": 0.357,
|
1019 |
+
"step": 104
|
1020 |
+
}
|
1021 |
+
],
|
1022 |
+
"logging_steps": 3,
|
1023 |
+
"max_steps": 1036,
|
1024 |
+
"num_input_tokens_seen": 0,
|
1025 |
+
"num_train_epochs": 2,
|
1026 |
+
"save_steps": 52,
|
1027 |
+
"stateful_callbacks": {
|
1028 |
+
"TrainerControl": {
|
1029 |
+
"args": {
|
1030 |
+
"should_epoch_stop": false,
|
1031 |
+
"should_evaluate": false,
|
1032 |
+
"should_log": false,
|
1033 |
+
"should_save": true,
|
1034 |
+
"should_training_stop": false
|
1035 |
+
},
|
1036 |
+
"attributes": {}
|
1037 |
+
}
|
1038 |
+
},
|
1039 |
+
"total_flos": 0.0,
|
1040 |
+
"train_batch_size": 64,
|
1041 |
+
"trial_name": null,
|
1042 |
+
"trial_params": null
|
1043 |
+
}
|
checkpoint-104/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73b62473318b3b28c705f94b87acfb0646732bae15a12e95a938b998dc89c2e7
|
3 |
+
size 5560
|