Training in progress, step 5166, checkpoint
Browse files- checkpoint-5166/1_Pooling/config.json +10 -0
- checkpoint-5166/README.md +0 -0
- checkpoint-5166/added_tokens.json +3 -0
- checkpoint-5166/config.json +35 -0
- checkpoint-5166/config_sentence_transformers.json +10 -0
- checkpoint-5166/modules.json +14 -0
- checkpoint-5166/optimizer.pt +3 -0
- checkpoint-5166/pytorch_model.bin +3 -0
- checkpoint-5166/rng_state.pth +3 -0
- checkpoint-5166/scheduler.pt +3 -0
- checkpoint-5166/sentence_bert_config.json +4 -0
- checkpoint-5166/special_tokens_map.json +51 -0
- checkpoint-5166/spm.model +3 -0
- checkpoint-5166/tokenizer.json +0 -0
- checkpoint-5166/tokenizer_config.json +65 -0
- checkpoint-5166/trainer_state.json +1237 -0
- checkpoint-5166/training_args.bin +3 -0
checkpoint-5166/1_Pooling/config.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"word_embedding_dimension": 768,
|
3 |
+
"pooling_mode_cls_token": false,
|
4 |
+
"pooling_mode_mean_tokens": true,
|
5 |
+
"pooling_mode_max_tokens": false,
|
6 |
+
"pooling_mode_mean_sqrt_len_tokens": false,
|
7 |
+
"pooling_mode_weightedmean_tokens": false,
|
8 |
+
"pooling_mode_lasttoken": false,
|
9 |
+
"include_prompt": true
|
10 |
+
}
|
checkpoint-5166/README.md
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-5166/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-5166/config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "bobox/DeBERTa-ST-AllLayers-v3-checkpoints-tmp",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaV2Model"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 768,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 3072,
|
12 |
+
"layer_norm_eps": 1e-07,
|
13 |
+
"max_position_embeddings": 512,
|
14 |
+
"max_relative_positions": -1,
|
15 |
+
"model_type": "deberta-v2",
|
16 |
+
"norm_rel_ebd": "layer_norm",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 6,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"pooler_dropout": 0,
|
21 |
+
"pooler_hidden_act": "gelu",
|
22 |
+
"pooler_hidden_size": 768,
|
23 |
+
"pos_att_type": [
|
24 |
+
"p2c",
|
25 |
+
"c2p"
|
26 |
+
],
|
27 |
+
"position_biased_input": false,
|
28 |
+
"position_buckets": 256,
|
29 |
+
"relative_attention": true,
|
30 |
+
"share_att_key": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.42.3",
|
33 |
+
"type_vocab_size": 0,
|
34 |
+
"vocab_size": 128100
|
35 |
+
}
|
checkpoint-5166/config_sentence_transformers.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"__version__": {
|
3 |
+
"sentence_transformers": "3.0.1",
|
4 |
+
"transformers": "4.42.3",
|
5 |
+
"pytorch": "2.1.2"
|
6 |
+
},
|
7 |
+
"prompts": {},
|
8 |
+
"default_prompt_name": null,
|
9 |
+
"similarity_fn_name": null
|
10 |
+
}
|
checkpoint-5166/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-5166/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48dce9fac67f527c5cd15330176f1ed9f5d1112b836db760542dcebb4a58fc20
|
3 |
+
size 1130520122
|
checkpoint-5166/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25e1bad878927495b582acce5107edb86e060716f82f8eccb92dc12596e12fbc
|
3 |
+
size 565251810
|
checkpoint-5166/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25ab1e41e74ed8f024bb2c6e63aea8eda3721a6d4f4319bb800b079eb34bd1ca
|
3 |
+
size 14180
|
checkpoint-5166/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc253291aff0c40a90ac4c74ab0c743394b67fb8cd847ad95f915bb5a3ae2271
|
3 |
+
size 1064
|
checkpoint-5166/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-5166/special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "[CLS]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
+
"content": "[SEP]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"mask_token": {
|
24 |
+
"content": "[MASK]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "[PAD]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"sep_token": {
|
38 |
+
"content": "[SEP]",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
},
|
44 |
+
"unk_token": {
|
45 |
+
"content": "[UNK]",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
checkpoint-5166/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
checkpoint-5166/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-5166/tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128000": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"max_length": 512,
|
51 |
+
"model_max_length": 1000000000000000019884624838656,
|
52 |
+
"pad_to_multiple_of": null,
|
53 |
+
"pad_token": "[PAD]",
|
54 |
+
"pad_token_type_id": 0,
|
55 |
+
"padding_side": "right",
|
56 |
+
"sep_token": "[SEP]",
|
57 |
+
"sp_model_kwargs": {},
|
58 |
+
"split_by_punct": false,
|
59 |
+
"stride": 0,
|
60 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
61 |
+
"truncation_side": "right",
|
62 |
+
"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]",
|
64 |
+
"vocab_type": "spm"
|
65 |
+
}
|
checkpoint-5166/trainer_state.json
ADDED
@@ -0,0 +1,1237 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 1292,
|
6 |
+
"global_step": 5166,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.012582268679829655,
|
13 |
+
"grad_norm": 4.108283996582031,
|
14 |
+
"learning_rate": 3.7166085946573755e-07,
|
15 |
+
"loss": 0.4577,
|
16 |
+
"step": 65
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02516453735965931,
|
20 |
+
"grad_norm": 0.5773646831512451,
|
21 |
+
"learning_rate": 7.491289198606272e-07,
|
22 |
+
"loss": 0.4707,
|
23 |
+
"step": 130
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03774680603948897,
|
27 |
+
"grad_norm": 0.6127182841300964,
|
28 |
+
"learning_rate": 1.1265969802555168e-06,
|
29 |
+
"loss": 0.5259,
|
30 |
+
"step": 195
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.05032907471931862,
|
34 |
+
"grad_norm": 1.513021469116211,
|
35 |
+
"learning_rate": 1.5040650406504067e-06,
|
36 |
+
"loss": 0.5501,
|
37 |
+
"step": 260
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.06291134339914828,
|
41 |
+
"grad_norm": 11.750137329101562,
|
42 |
+
"learning_rate": 1.8815331010452962e-06,
|
43 |
+
"loss": 0.5089,
|
44 |
+
"step": 325
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.07549361207897794,
|
48 |
+
"grad_norm": 4.16257905960083,
|
49 |
+
"learning_rate": 2.259001161440186e-06,
|
50 |
+
"loss": 0.4816,
|
51 |
+
"step": 390
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.08807588075880758,
|
55 |
+
"grad_norm": 16.527780532836914,
|
56 |
+
"learning_rate": 2.6306620209059233e-06,
|
57 |
+
"loss": 0.5822,
|
58 |
+
"step": 455
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.10065814943863724,
|
62 |
+
"grad_norm": 0.1845797300338745,
|
63 |
+
"learning_rate": 3.0081300813008134e-06,
|
64 |
+
"loss": 0.5686,
|
65 |
+
"step": 520
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1132404181184669,
|
69 |
+
"grad_norm": 12.172422409057617,
|
70 |
+
"learning_rate": 3.3855981416957026e-06,
|
71 |
+
"loss": 0.5686,
|
72 |
+
"step": 585
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.12582268679829656,
|
76 |
+
"grad_norm": 0.6270273923873901,
|
77 |
+
"learning_rate": 3.7630662020905923e-06,
|
78 |
+
"loss": 0.517,
|
79 |
+
"step": 650
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1384049554781262,
|
83 |
+
"grad_norm": 3.6368539333343506,
|
84 |
+
"learning_rate": 4.140534262485482e-06,
|
85 |
+
"loss": 0.3615,
|
86 |
+
"step": 715
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.15098722415795587,
|
90 |
+
"grad_norm": 9.541145324707031,
|
91 |
+
"learning_rate": 4.518002322880372e-06,
|
92 |
+
"loss": 0.5978,
|
93 |
+
"step": 780
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.16356949283778552,
|
97 |
+
"grad_norm": 9.86439323425293,
|
98 |
+
"learning_rate": 4.895470383275261e-06,
|
99 |
+
"loss": 0.5153,
|
100 |
+
"step": 845
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.17615176151761516,
|
104 |
+
"grad_norm": 4.669048309326172,
|
105 |
+
"learning_rate": 5.272938443670151e-06,
|
106 |
+
"loss": 0.5059,
|
107 |
+
"step": 910
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.18873403019744484,
|
111 |
+
"grad_norm": 9.666926383972168,
|
112 |
+
"learning_rate": 5.650406504065041e-06,
|
113 |
+
"loss": 0.5624,
|
114 |
+
"step": 975
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.20131629887727448,
|
118 |
+
"grad_norm": 6.078874588012695,
|
119 |
+
"learning_rate": 6.02787456445993e-06,
|
120 |
+
"loss": 0.5201,
|
121 |
+
"step": 1040
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.21389856755710415,
|
125 |
+
"grad_norm": 1.1067451238632202,
|
126 |
+
"learning_rate": 6.4053426248548205e-06,
|
127 |
+
"loss": 0.6127,
|
128 |
+
"step": 1105
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.2264808362369338,
|
132 |
+
"grad_norm": 1.1589373350143433,
|
133 |
+
"learning_rate": 6.78281068524971e-06,
|
134 |
+
"loss": 0.5333,
|
135 |
+
"step": 1170
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.23906310491676344,
|
139 |
+
"grad_norm": 1.977501630783081,
|
140 |
+
"learning_rate": 7.1602787456446e-06,
|
141 |
+
"loss": 0.494,
|
142 |
+
"step": 1235
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2500967866821525,
|
146 |
+
"eval_StS-test_pearson_cosine": 0.8821101738384596,
|
147 |
+
"eval_StS-test_pearson_dot": 0.8032893366124795,
|
148 |
+
"eval_StS-test_pearson_euclidean": 0.8697205121607111,
|
149 |
+
"eval_StS-test_pearson_manhattan": 0.8704995590187196,
|
150 |
+
"eval_StS-test_pearson_max": 0.8821101738384596,
|
151 |
+
"eval_StS-test_spearman_cosine": 0.8943047751560564,
|
152 |
+
"eval_StS-test_spearman_dot": 0.8087424893555902,
|
153 |
+
"eval_StS-test_spearman_euclidean": 0.871583089708652,
|
154 |
+
"eval_StS-test_spearman_manhattan": 0.8737012027236009,
|
155 |
+
"eval_StS-test_spearman_max": 0.8943047751560564,
|
156 |
+
"eval_Vitaminc-test_cosine_accuracy": 0.5684210526315789,
|
157 |
+
"eval_Vitaminc-test_cosine_accuracy_threshold": 0.7028586268424988,
|
158 |
+
"eval_Vitaminc-test_cosine_ap": 0.5651043866206488,
|
159 |
+
"eval_Vitaminc-test_cosine_f1": 0.6755218216318786,
|
160 |
+
"eval_Vitaminc-test_cosine_f1_threshold": 0.5077509880065918,
|
161 |
+
"eval_Vitaminc-test_cosine_precision": 0.52046783625731,
|
162 |
+
"eval_Vitaminc-test_cosine_recall": 0.9621621621621622,
|
163 |
+
"eval_Vitaminc-test_dot_accuracy": 0.5684210526315789,
|
164 |
+
"eval_Vitaminc-test_dot_accuracy_threshold": 19.693286895751953,
|
165 |
+
"eval_Vitaminc-test_dot_ap": 0.5463931769790206,
|
166 |
+
"eval_Vitaminc-test_dot_f1": 0.6691449814126395,
|
167 |
+
"eval_Vitaminc-test_dot_f1_threshold": 13.839346885681152,
|
168 |
+
"eval_Vitaminc-test_dot_precision": 0.509915014164306,
|
169 |
+
"eval_Vitaminc-test_dot_recall": 0.972972972972973,
|
170 |
+
"eval_Vitaminc-test_euclidean_accuracy": 0.5894736842105263,
|
171 |
+
"eval_Vitaminc-test_euclidean_accuracy_threshold": 4.252468585968018,
|
172 |
+
"eval_Vitaminc-test_euclidean_ap": 0.5569049511912931,
|
173 |
+
"eval_Vitaminc-test_euclidean_f1": 0.6666666666666666,
|
174 |
+
"eval_Vitaminc-test_euclidean_f1_threshold": 6.922356128692627,
|
175 |
+
"eval_Vitaminc-test_euclidean_precision": 0.5041551246537396,
|
176 |
+
"eval_Vitaminc-test_euclidean_recall": 0.9837837837837838,
|
177 |
+
"eval_Vitaminc-test_manhattan_accuracy": 0.5815789473684211,
|
178 |
+
"eval_Vitaminc-test_manhattan_accuracy_threshold": 87.21337890625,
|
179 |
+
"eval_Vitaminc-test_manhattan_ap": 0.5572154085134091,
|
180 |
+
"eval_Vitaminc-test_manhattan_f1": 0.6666666666666667,
|
181 |
+
"eval_Vitaminc-test_manhattan_f1_threshold": 141.26380920410156,
|
182 |
+
"eval_Vitaminc-test_manhattan_precision": 0.505586592178771,
|
183 |
+
"eval_Vitaminc-test_manhattan_recall": 0.9783783783783784,
|
184 |
+
"eval_Vitaminc-test_max_accuracy": 0.5894736842105263,
|
185 |
+
"eval_Vitaminc-test_max_accuracy_threshold": 87.21337890625,
|
186 |
+
"eval_Vitaminc-test_max_ap": 0.5651043866206488,
|
187 |
+
"eval_Vitaminc-test_max_f1": 0.6755218216318786,
|
188 |
+
"eval_Vitaminc-test_max_f1_threshold": 141.26380920410156,
|
189 |
+
"eval_Vitaminc-test_max_precision": 0.52046783625731,
|
190 |
+
"eval_Vitaminc-test_max_recall": 0.9837837837837838,
|
191 |
+
"eval_mrpc-test_cosine_accuracy": 0.7473684210526316,
|
192 |
+
"eval_mrpc-test_cosine_accuracy_threshold": 0.7145693302154541,
|
193 |
+
"eval_mrpc-test_cosine_ap": 0.8563235829800693,
|
194 |
+
"eval_mrpc-test_cosine_f1": 0.8327645051194539,
|
195 |
+
"eval_mrpc-test_cosine_f1_threshold": 0.6522408723831177,
|
196 |
+
"eval_mrpc-test_cosine_precision": 0.7218934911242604,
|
197 |
+
"eval_mrpc-test_cosine_recall": 0.9838709677419355,
|
198 |
+
"eval_mrpc-test_dot_accuracy": 0.7026315789473684,
|
199 |
+
"eval_mrpc-test_dot_accuracy_threshold": 14.454626083374023,
|
200 |
+
"eval_mrpc-test_dot_ap": 0.796363256728503,
|
201 |
+
"eval_mrpc-test_dot_f1": 0.8054607508532423,
|
202 |
+
"eval_mrpc-test_dot_f1_threshold": 13.752894401550293,
|
203 |
+
"eval_mrpc-test_dot_precision": 0.6982248520710059,
|
204 |
+
"eval_mrpc-test_dot_recall": 0.9516129032258065,
|
205 |
+
"eval_mrpc-test_euclidean_accuracy": 0.7315789473684211,
|
206 |
+
"eval_mrpc-test_euclidean_accuracy_threshold": 3.890326499938965,
|
207 |
+
"eval_mrpc-test_euclidean_ap": 0.8252367395643119,
|
208 |
+
"eval_mrpc-test_euclidean_f1": 0.8165467625899281,
|
209 |
+
"eval_mrpc-test_euclidean_f1_threshold": 3.890326499938965,
|
210 |
+
"eval_mrpc-test_euclidean_precision": 0.737012987012987,
|
211 |
+
"eval_mrpc-test_euclidean_recall": 0.9153225806451613,
|
212 |
+
"eval_mrpc-test_manhattan_accuracy": 0.7289473684210527,
|
213 |
+
"eval_mrpc-test_manhattan_accuracy_threshold": 77.57926177978516,
|
214 |
+
"eval_mrpc-test_manhattan_ap": 0.8208816982117964,
|
215 |
+
"eval_mrpc-test_manhattan_f1": 0.815742397137746,
|
216 |
+
"eval_mrpc-test_manhattan_f1_threshold": 79.14703369140625,
|
217 |
+
"eval_mrpc-test_manhattan_precision": 0.7331189710610932,
|
218 |
+
"eval_mrpc-test_manhattan_recall": 0.9193548387096774,
|
219 |
+
"eval_mrpc-test_max_accuracy": 0.7473684210526316,
|
220 |
+
"eval_mrpc-test_max_accuracy_threshold": 77.57926177978516,
|
221 |
+
"eval_mrpc-test_max_ap": 0.8563235829800693,
|
222 |
+
"eval_mrpc-test_max_f1": 0.8327645051194539,
|
223 |
+
"eval_mrpc-test_max_f1_threshold": 79.14703369140625,
|
224 |
+
"eval_mrpc-test_max_precision": 0.737012987012987,
|
225 |
+
"eval_mrpc-test_max_recall": 0.9838709677419355,
|
226 |
+
"eval_nli-pairs_loss": 0.8093397617340088,
|
227 |
+
"eval_nli-pairs_runtime": 3.0363,
|
228 |
+
"eval_nli-pairs_samples_per_second": 52.696,
|
229 |
+
"eval_nli-pairs_steps_per_second": 1.647,
|
230 |
+
"eval_sequential_score": 0.5651043866206488,
|
231 |
+
"step": 1292
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.2500967866821525,
|
235 |
+
"eval_vitaminc-pairs_loss": 5.769770622253418,
|
236 |
+
"eval_vitaminc-pairs_runtime": 1.5488,
|
237 |
+
"eval_vitaminc-pairs_samples_per_second": 85.875,
|
238 |
+
"eval_vitaminc-pairs_steps_per_second": 3.228,
|
239 |
+
"step": 1292
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.2500967866821525,
|
243 |
+
"eval_qnli-contrastive_loss": 0.12109158933162689,
|
244 |
+
"eval_qnli-contrastive_runtime": 0.5097,
|
245 |
+
"eval_qnli-contrastive_samples_per_second": 313.889,
|
246 |
+
"eval_qnli-contrastive_steps_per_second": 9.809,
|
247 |
+
"step": 1292
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.2500967866821525,
|
251 |
+
"eval_scitail-pairs-qa_loss": 0.07553695887327194,
|
252 |
+
"eval_scitail-pairs-qa_runtime": 1.2071,
|
253 |
+
"eval_scitail-pairs-qa_samples_per_second": 132.548,
|
254 |
+
"eval_scitail-pairs-qa_steps_per_second": 4.142,
|
255 |
+
"step": 1292
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.2500967866821525,
|
259 |
+
"eval_scitail-pairs-pos_loss": 0.3979075253009796,
|
260 |
+
"eval_scitail-pairs-pos_runtime": 2.3649,
|
261 |
+
"eval_scitail-pairs-pos_samples_per_second": 67.656,
|
262 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.114,
|
263 |
+
"step": 1292
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.2500967866821525,
|
267 |
+
"eval_xsum-pairs_loss": 0.313429057598114,
|
268 |
+
"eval_xsum-pairs_runtime": 1.4107,
|
269 |
+
"eval_xsum-pairs_samples_per_second": 113.419,
|
270 |
+
"eval_xsum-pairs_steps_per_second": 3.544,
|
271 |
+
"step": 1292
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.2500967866821525,
|
275 |
+
"eval_compression-pairs_loss": 0.08316509425640106,
|
276 |
+
"eval_compression-pairs_runtime": 0.3958,
|
277 |
+
"eval_compression-pairs_samples_per_second": 404.289,
|
278 |
+
"eval_compression-pairs_steps_per_second": 12.634,
|
279 |
+
"step": 1292
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.2500967866821525,
|
283 |
+
"eval_sciq_pairs_loss": 0.2692818343639374,
|
284 |
+
"eval_sciq_pairs_runtime": 7.8991,
|
285 |
+
"eval_sciq_pairs_samples_per_second": 20.255,
|
286 |
+
"eval_sciq_pairs_steps_per_second": 0.633,
|
287 |
+
"step": 1292
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.2500967866821525,
|
291 |
+
"eval_qasc_pairs_loss": 0.19870159029960632,
|
292 |
+
"eval_qasc_pairs_runtime": 1.4336,
|
293 |
+
"eval_qasc_pairs_samples_per_second": 111.608,
|
294 |
+
"eval_qasc_pairs_steps_per_second": 3.488,
|
295 |
+
"step": 1292
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.2500967866821525,
|
299 |
+
"eval_qasc_facts_sym_loss": 0.16445104777812958,
|
300 |
+
"eval_qasc_facts_sym_runtime": 0.3196,
|
301 |
+
"eval_qasc_facts_sym_samples_per_second": 500.598,
|
302 |
+
"eval_qasc_facts_sym_steps_per_second": 15.644,
|
303 |
+
"step": 1292
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.2500967866821525,
|
307 |
+
"eval_openbookqa_pairs_loss": 1.7182375192642212,
|
308 |
+
"eval_openbookqa_pairs_runtime": 1.2252,
|
309 |
+
"eval_openbookqa_pairs_samples_per_second": 130.592,
|
310 |
+
"eval_openbookqa_pairs_steps_per_second": 4.081,
|
311 |
+
"step": 1292
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.2500967866821525,
|
315 |
+
"eval_msmarco_pairs_loss": 0.4961338937282562,
|
316 |
+
"eval_msmarco_pairs_runtime": 3.1144,
|
317 |
+
"eval_msmarco_pairs_samples_per_second": 51.374,
|
318 |
+
"eval_msmarco_pairs_steps_per_second": 1.605,
|
319 |
+
"step": 1292
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.2500967866821525,
|
323 |
+
"eval_nq_pairs_loss": 0.4005078673362732,
|
324 |
+
"eval_nq_pairs_runtime": 7.7074,
|
325 |
+
"eval_nq_pairs_samples_per_second": 20.759,
|
326 |
+
"eval_nq_pairs_steps_per_second": 0.649,
|
327 |
+
"step": 1292
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.2500967866821525,
|
331 |
+
"eval_trivia_pairs_loss": 0.654505729675293,
|
332 |
+
"eval_trivia_pairs_runtime": 10.1383,
|
333 |
+
"eval_trivia_pairs_samples_per_second": 15.782,
|
334 |
+
"eval_trivia_pairs_steps_per_second": 0.493,
|
335 |
+
"step": 1292
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.2500967866821525,
|
339 |
+
"eval_quora_pairs_loss": 0.22833283245563507,
|
340 |
+
"eval_quora_pairs_runtime": 3.894,
|
341 |
+
"eval_quora_pairs_samples_per_second": 173.342,
|
342 |
+
"eval_quora_pairs_steps_per_second": 5.65,
|
343 |
+
"step": 1292
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 0.2500967866821525,
|
347 |
+
"eval_gooaq_pairs_loss": 0.4996432662010193,
|
348 |
+
"eval_gooaq_pairs_runtime": 2.2697,
|
349 |
+
"eval_gooaq_pairs_samples_per_second": 70.494,
|
350 |
+
"eval_gooaq_pairs_steps_per_second": 2.203,
|
351 |
+
"step": 1292
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.2500967866821525,
|
355 |
+
"eval_mrpc_pairs_loss": 0.04613902047276497,
|
356 |
+
"eval_mrpc_pairs_runtime": 0.3743,
|
357 |
+
"eval_mrpc_pairs_samples_per_second": 427.427,
|
358 |
+
"eval_mrpc_pairs_steps_per_second": 13.357,
|
359 |
+
"step": 1292
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.2516453735965931,
|
363 |
+
"grad_norm": 12.50217342376709,
|
364 |
+
"learning_rate": 7.53774680603949e-06,
|
365 |
+
"loss": 0.6236,
|
366 |
+
"step": 1300
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.26422764227642276,
|
370 |
+
"grad_norm": 1.8397300243377686,
|
371 |
+
"learning_rate": 7.91521486643438e-06,
|
372 |
+
"loss": 0.4947,
|
373 |
+
"step": 1365
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.2768099109562524,
|
377 |
+
"grad_norm": 5.885033130645752,
|
378 |
+
"learning_rate": 8.292682926829268e-06,
|
379 |
+
"loss": 0.5595,
|
380 |
+
"step": 1430
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.28939217963608205,
|
384 |
+
"grad_norm": 1.7783002853393555,
|
385 |
+
"learning_rate": 8.670150987224158e-06,
|
386 |
+
"loss": 0.641,
|
387 |
+
"step": 1495
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.30197444831591175,
|
391 |
+
"grad_norm": 5.305712699890137,
|
392 |
+
"learning_rate": 9.047619047619047e-06,
|
393 |
+
"loss": 0.5188,
|
394 |
+
"step": 1560
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.3145567169957414,
|
398 |
+
"grad_norm": 8.24319839477539,
|
399 |
+
"learning_rate": 9.425087108013936e-06,
|
400 |
+
"loss": 0.4927,
|
401 |
+
"step": 1625
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.32713898567557104,
|
405 |
+
"grad_norm": 11.07426929473877,
|
406 |
+
"learning_rate": 9.802555168408827e-06,
|
407 |
+
"loss": 0.657,
|
408 |
+
"step": 1690
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.3397212543554007,
|
412 |
+
"grad_norm": 9.04263687133789,
|
413 |
+
"learning_rate": 1.0180023228803716e-05,
|
414 |
+
"loss": 0.4665,
|
415 |
+
"step": 1755
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.3523035230352303,
|
419 |
+
"grad_norm": 1.4980370998382568,
|
420 |
+
"learning_rate": 1.0557491289198606e-05,
|
421 |
+
"loss": 0.4645,
|
422 |
+
"step": 1820
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.36488579171506,
|
426 |
+
"grad_norm": 16.511180877685547,
|
427 |
+
"learning_rate": 1.0934959349593495e-05,
|
428 |
+
"loss": 0.5887,
|
429 |
+
"step": 1885
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.37746806039488967,
|
433 |
+
"grad_norm": 5.706000804901123,
|
434 |
+
"learning_rate": 1.1312427409988386e-05,
|
435 |
+
"loss": 0.5308,
|
436 |
+
"step": 1950
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.3900503290747193,
|
440 |
+
"grad_norm": 1.0923340320587158,
|
441 |
+
"learning_rate": 1.1689895470383277e-05,
|
442 |
+
"loss": 0.536,
|
443 |
+
"step": 2015
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.40263259775454896,
|
447 |
+
"grad_norm": 6.521665573120117,
|
448 |
+
"learning_rate": 1.2067363530778166e-05,
|
449 |
+
"loss": 0.4841,
|
450 |
+
"step": 2080
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.4152148664343786,
|
454 |
+
"grad_norm": 7.254842758178711,
|
455 |
+
"learning_rate": 1.2444831591173055e-05,
|
456 |
+
"loss": 0.6499,
|
457 |
+
"step": 2145
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.4277971351142083,
|
461 |
+
"grad_norm": 14.938628196716309,
|
462 |
+
"learning_rate": 1.2822299651567945e-05,
|
463 |
+
"loss": 0.5982,
|
464 |
+
"step": 2210
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.44037940379403795,
|
468 |
+
"grad_norm": 10.192171096801758,
|
469 |
+
"learning_rate": 1.3199767711962834e-05,
|
470 |
+
"loss": 0.5281,
|
471 |
+
"step": 2275
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.4529616724738676,
|
475 |
+
"grad_norm": 8.02379035949707,
|
476 |
+
"learning_rate": 1.3577235772357725e-05,
|
477 |
+
"loss": 0.6657,
|
478 |
+
"step": 2340
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.46554394115369724,
|
482 |
+
"grad_norm": 2.842752695083618,
|
483 |
+
"learning_rate": 1.3954703832752614e-05,
|
484 |
+
"loss": 0.5746,
|
485 |
+
"step": 2405
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.4781262098335269,
|
489 |
+
"grad_norm": 0.4373825788497925,
|
490 |
+
"learning_rate": 1.432636469221835e-05,
|
491 |
+
"loss": 0.5853,
|
492 |
+
"step": 2470
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.4907084785133566,
|
496 |
+
"grad_norm": 16.475561141967773,
|
497 |
+
"learning_rate": 1.4703832752613242e-05,
|
498 |
+
"loss": 0.5828,
|
499 |
+
"step": 2535
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.500193573364305,
|
503 |
+
"eval_StS-test_pearson_cosine": 0.8850112014664042,
|
504 |
+
"eval_StS-test_pearson_dot": 0.8059948281019231,
|
505 |
+
"eval_StS-test_pearson_euclidean": 0.8736480607586303,
|
506 |
+
"eval_StS-test_pearson_manhattan": 0.8746434402751778,
|
507 |
+
"eval_StS-test_pearson_max": 0.8850112014664042,
|
508 |
+
"eval_StS-test_spearman_cosine": 0.8964908683344393,
|
509 |
+
"eval_StS-test_spearman_dot": 0.8112940990649002,
|
510 |
+
"eval_StS-test_spearman_euclidean": 0.8728524906348676,
|
511 |
+
"eval_StS-test_spearman_manhattan": 0.8747700566942432,
|
512 |
+
"eval_StS-test_spearman_max": 0.8964908683344393,
|
513 |
+
"eval_Vitaminc-test_cosine_accuracy": 0.5842105263157895,
|
514 |
+
"eval_Vitaminc-test_cosine_accuracy_threshold": 0.6876633763313293,
|
515 |
+
"eval_Vitaminc-test_cosine_ap": 0.5620310838989798,
|
516 |
+
"eval_Vitaminc-test_cosine_f1": 0.6755725190839694,
|
517 |
+
"eval_Vitaminc-test_cosine_f1_threshold": 0.5227451324462891,
|
518 |
+
"eval_Vitaminc-test_cosine_precision": 0.5221238938053098,
|
519 |
+
"eval_Vitaminc-test_cosine_recall": 0.9567567567567568,
|
520 |
+
"eval_Vitaminc-test_dot_accuracy": 0.5552631578947368,
|
521 |
+
"eval_Vitaminc-test_dot_accuracy_threshold": 19.32275390625,
|
522 |
+
"eval_Vitaminc-test_dot_ap": 0.5459852333889619,
|
523 |
+
"eval_Vitaminc-test_dot_f1": 0.6715596330275228,
|
524 |
+
"eval_Vitaminc-test_dot_f1_threshold": 12.946126937866211,
|
525 |
+
"eval_Vitaminc-test_dot_precision": 0.5083333333333333,
|
526 |
+
"eval_Vitaminc-test_dot_recall": 0.9891891891891892,
|
527 |
+
"eval_Vitaminc-test_euclidean_accuracy": 0.5736842105263158,
|
528 |
+
"eval_Vitaminc-test_euclidean_accuracy_threshold": 3.9492130279541016,
|
529 |
+
"eval_Vitaminc-test_euclidean_ap": 0.5569069466677845,
|
530 |
+
"eval_Vitaminc-test_euclidean_f1": 0.6654343807763402,
|
531 |
+
"eval_Vitaminc-test_euclidean_f1_threshold": 6.641269207000732,
|
532 |
+
"eval_Vitaminc-test_euclidean_precision": 0.5056179775280899,
|
533 |
+
"eval_Vitaminc-test_euclidean_recall": 0.972972972972973,
|
534 |
+
"eval_Vitaminc-test_manhattan_accuracy": 0.5789473684210527,
|
535 |
+
"eval_Vitaminc-test_manhattan_accuracy_threshold": 80.14714050292969,
|
536 |
+
"eval_Vitaminc-test_manhattan_ap": 0.556199495550533,
|
537 |
+
"eval_Vitaminc-test_manhattan_f1": 0.6691312384473197,
|
538 |
+
"eval_Vitaminc-test_manhattan_f1_threshold": 138.50221252441406,
|
539 |
+
"eval_Vitaminc-test_manhattan_precision": 0.5084269662921348,
|
540 |
+
"eval_Vitaminc-test_manhattan_recall": 0.9783783783783784,
|
541 |
+
"eval_Vitaminc-test_max_accuracy": 0.5842105263157895,
|
542 |
+
"eval_Vitaminc-test_max_accuracy_threshold": 80.14714050292969,
|
543 |
+
"eval_Vitaminc-test_max_ap": 0.5620310838989798,
|
544 |
+
"eval_Vitaminc-test_max_f1": 0.6755725190839694,
|
545 |
+
"eval_Vitaminc-test_max_f1_threshold": 138.50221252441406,
|
546 |
+
"eval_Vitaminc-test_max_precision": 0.5221238938053098,
|
547 |
+
"eval_Vitaminc-test_max_recall": 0.9891891891891892,
|
548 |
+
"eval_mrpc-test_cosine_accuracy": 0.7368421052631579,
|
549 |
+
"eval_mrpc-test_cosine_accuracy_threshold": 0.7595815658569336,
|
550 |
+
"eval_mrpc-test_cosine_ap": 0.8489522026016108,
|
551 |
+
"eval_mrpc-test_cosine_f1": 0.8235294117647058,
|
552 |
+
"eval_mrpc-test_cosine_f1_threshold": 0.6731016635894775,
|
553 |
+
"eval_mrpc-test_cosine_precision": 0.7212121212121212,
|
554 |
+
"eval_mrpc-test_cosine_recall": 0.9596774193548387,
|
555 |
+
"eval_mrpc-test_dot_accuracy": 0.6894736842105263,
|
556 |
+
"eval_mrpc-test_dot_accuracy_threshold": 15.645252227783203,
|
557 |
+
"eval_mrpc-test_dot_ap": 0.7828717059557433,
|
558 |
+
"eval_mrpc-test_dot_f1": 0.8071895424836601,
|
559 |
+
"eval_mrpc-test_dot_f1_threshold": 11.141586303710938,
|
560 |
+
"eval_mrpc-test_dot_precision": 0.6785714285714286,
|
561 |
+
"eval_mrpc-test_dot_recall": 0.9959677419354839,
|
562 |
+
"eval_mrpc-test_euclidean_accuracy": 0.7368421052631579,
|
563 |
+
"eval_mrpc-test_euclidean_accuracy_threshold": 3.7453079223632812,
|
564 |
+
"eval_mrpc-test_euclidean_ap": 0.8190549606804299,
|
565 |
+
"eval_mrpc-test_euclidean_f1": 0.8172043010752688,
|
566 |
+
"eval_mrpc-test_euclidean_f1_threshold": 3.905801773071289,
|
567 |
+
"eval_mrpc-test_euclidean_precision": 0.7354838709677419,
|
568 |
+
"eval_mrpc-test_euclidean_recall": 0.9193548387096774,
|
569 |
+
"eval_mrpc-test_manhattan_accuracy": 0.7315789473684211,
|
570 |
+
"eval_mrpc-test_manhattan_accuracy_threshold": 74.24961853027344,
|
571 |
+
"eval_mrpc-test_manhattan_ap": 0.815561648496177,
|
572 |
+
"eval_mrpc-test_manhattan_f1": 0.81508078994614,
|
573 |
+
"eval_mrpc-test_manhattan_f1_threshold": 78.01387023925781,
|
574 |
+
"eval_mrpc-test_manhattan_precision": 0.7346278317152104,
|
575 |
+
"eval_mrpc-test_manhattan_recall": 0.9153225806451613,
|
576 |
+
"eval_mrpc-test_max_accuracy": 0.7368421052631579,
|
577 |
+
"eval_mrpc-test_max_accuracy_threshold": 74.24961853027344,
|
578 |
+
"eval_mrpc-test_max_ap": 0.8489522026016108,
|
579 |
+
"eval_mrpc-test_max_f1": 0.8235294117647058,
|
580 |
+
"eval_mrpc-test_max_f1_threshold": 78.01387023925781,
|
581 |
+
"eval_mrpc-test_max_precision": 0.7354838709677419,
|
582 |
+
"eval_mrpc-test_max_recall": 0.9959677419354839,
|
583 |
+
"eval_nli-pairs_loss": 0.805642306804657,
|
584 |
+
"eval_nli-pairs_runtime": 3.1328,
|
585 |
+
"eval_nli-pairs_samples_per_second": 51.072,
|
586 |
+
"eval_nli-pairs_steps_per_second": 1.596,
|
587 |
+
"eval_sequential_score": 0.5620310838989798,
|
588 |
+
"step": 2584
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 0.500193573364305,
|
592 |
+
"eval_vitaminc-pairs_loss": 5.803024768829346,
|
593 |
+
"eval_vitaminc-pairs_runtime": 1.6236,
|
594 |
+
"eval_vitaminc-pairs_samples_per_second": 81.915,
|
595 |
+
"eval_vitaminc-pairs_steps_per_second": 3.08,
|
596 |
+
"step": 2584
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.500193573364305,
|
600 |
+
"eval_qnli-contrastive_loss": 0.1560516655445099,
|
601 |
+
"eval_qnli-contrastive_runtime": 0.5455,
|
602 |
+
"eval_qnli-contrastive_samples_per_second": 293.295,
|
603 |
+
"eval_qnli-contrastive_steps_per_second": 9.165,
|
604 |
+
"step": 2584
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.500193573364305,
|
608 |
+
"eval_scitail-pairs-qa_loss": 0.07059809565544128,
|
609 |
+
"eval_scitail-pairs-qa_runtime": 1.3304,
|
610 |
+
"eval_scitail-pairs-qa_samples_per_second": 120.266,
|
611 |
+
"eval_scitail-pairs-qa_steps_per_second": 3.758,
|
612 |
+
"step": 2584
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.500193573364305,
|
616 |
+
"eval_scitail-pairs-pos_loss": 0.40096405148506165,
|
617 |
+
"eval_scitail-pairs-pos_runtime": 2.6358,
|
618 |
+
"eval_scitail-pairs-pos_samples_per_second": 60.703,
|
619 |
+
"eval_scitail-pairs-pos_steps_per_second": 1.897,
|
620 |
+
"step": 2584
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.500193573364305,
|
624 |
+
"eval_xsum-pairs_loss": 0.3021017014980316,
|
625 |
+
"eval_xsum-pairs_runtime": 1.474,
|
626 |
+
"eval_xsum-pairs_samples_per_second": 108.547,
|
627 |
+
"eval_xsum-pairs_steps_per_second": 3.392,
|
628 |
+
"step": 2584
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 0.500193573364305,
|
632 |
+
"eval_compression-pairs_loss": 0.08080567419528961,
|
633 |
+
"eval_compression-pairs_runtime": 0.4395,
|
634 |
+
"eval_compression-pairs_samples_per_second": 364.011,
|
635 |
+
"eval_compression-pairs_steps_per_second": 11.375,
|
636 |
+
"step": 2584
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.500193573364305,
|
640 |
+
"eval_sciq_pairs_loss": 0.2838394045829773,
|
641 |
+
"eval_sciq_pairs_runtime": 8.1466,
|
642 |
+
"eval_sciq_pairs_samples_per_second": 19.64,
|
643 |
+
"eval_sciq_pairs_steps_per_second": 0.614,
|
644 |
+
"step": 2584
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.500193573364305,
|
648 |
+
"eval_qasc_pairs_loss": 0.19900637865066528,
|
649 |
+
"eval_qasc_pairs_runtime": 1.4833,
|
650 |
+
"eval_qasc_pairs_samples_per_second": 107.864,
|
651 |
+
"eval_qasc_pairs_steps_per_second": 3.371,
|
652 |
+
"step": 2584
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.500193573364305,
|
656 |
+
"eval_qasc_facts_sym_loss": 0.15245158970355988,
|
657 |
+
"eval_qasc_facts_sym_runtime": 0.3292,
|
658 |
+
"eval_qasc_facts_sym_samples_per_second": 485.978,
|
659 |
+
"eval_qasc_facts_sym_steps_per_second": 15.187,
|
660 |
+
"step": 2584
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.500193573364305,
|
664 |
+
"eval_openbookqa_pairs_loss": 1.7069475650787354,
|
665 |
+
"eval_openbookqa_pairs_runtime": 1.4335,
|
666 |
+
"eval_openbookqa_pairs_samples_per_second": 111.612,
|
667 |
+
"eval_openbookqa_pairs_steps_per_second": 3.488,
|
668 |
+
"step": 2584
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.500193573364305,
|
672 |
+
"eval_msmarco_pairs_loss": 0.5149500966072083,
|
673 |
+
"eval_msmarco_pairs_runtime": 3.2287,
|
674 |
+
"eval_msmarco_pairs_samples_per_second": 49.555,
|
675 |
+
"eval_msmarco_pairs_steps_per_second": 1.549,
|
676 |
+
"step": 2584
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 0.500193573364305,
|
680 |
+
"eval_nq_pairs_loss": 0.4162893295288086,
|
681 |
+
"eval_nq_pairs_runtime": 7.8277,
|
682 |
+
"eval_nq_pairs_samples_per_second": 20.44,
|
683 |
+
"eval_nq_pairs_steps_per_second": 0.639,
|
684 |
+
"step": 2584
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.500193573364305,
|
688 |
+
"eval_trivia_pairs_loss": 0.623663067817688,
|
689 |
+
"eval_trivia_pairs_runtime": 10.277,
|
690 |
+
"eval_trivia_pairs_samples_per_second": 15.569,
|
691 |
+
"eval_trivia_pairs_steps_per_second": 0.487,
|
692 |
+
"step": 2584
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.500193573364305,
|
696 |
+
"eval_quora_pairs_loss": 0.22309938073158264,
|
697 |
+
"eval_quora_pairs_runtime": 4.3318,
|
698 |
+
"eval_quora_pairs_samples_per_second": 155.824,
|
699 |
+
"eval_quora_pairs_steps_per_second": 5.079,
|
700 |
+
"step": 2584
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.500193573364305,
|
704 |
+
"eval_gooaq_pairs_loss": 0.49019113183021545,
|
705 |
+
"eval_gooaq_pairs_runtime": 2.2716,
|
706 |
+
"eval_gooaq_pairs_samples_per_second": 70.434,
|
707 |
+
"eval_gooaq_pairs_steps_per_second": 2.201,
|
708 |
+
"step": 2584
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 0.500193573364305,
|
712 |
+
"eval_mrpc_pairs_loss": 0.04494442045688629,
|
713 |
+
"eval_mrpc_pairs_runtime": 0.3756,
|
714 |
+
"eval_mrpc_pairs_samples_per_second": 425.958,
|
715 |
+
"eval_mrpc_pairs_steps_per_second": 13.311,
|
716 |
+
"step": 2584
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.5032907471931862,
|
720 |
+
"grad_norm": 0.5926259756088257,
|
721 |
+
"learning_rate": 1.5081300813008131e-05,
|
722 |
+
"loss": 0.4889,
|
723 |
+
"step": 2600
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.5158730158730159,
|
727 |
+
"grad_norm": 12.89693832397461,
|
728 |
+
"learning_rate": 1.545876887340302e-05,
|
729 |
+
"loss": 0.517,
|
730 |
+
"step": 2665
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.5284552845528455,
|
734 |
+
"grad_norm": 0.3751634359359741,
|
735 |
+
"learning_rate": 1.583623693379791e-05,
|
736 |
+
"loss": 0.5479,
|
737 |
+
"step": 2730
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.5410375532326752,
|
741 |
+
"grad_norm": 10.321626663208008,
|
742 |
+
"learning_rate": 1.62137049941928e-05,
|
743 |
+
"loss": 0.6409,
|
744 |
+
"step": 2795
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.5536198219125048,
|
748 |
+
"grad_norm": 0.40425410866737366,
|
749 |
+
"learning_rate": 1.659117305458769e-05,
|
750 |
+
"loss": 0.6137,
|
751 |
+
"step": 2860
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.5662020905923345,
|
755 |
+
"grad_norm": 0.26469847559928894,
|
756 |
+
"learning_rate": 1.696864111498258e-05,
|
757 |
+
"loss": 0.5947,
|
758 |
+
"step": 2925
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.5787843592721641,
|
762 |
+
"grad_norm": 0.3376736640930176,
|
763 |
+
"learning_rate": 1.7346109175377468e-05,
|
764 |
+
"loss": 0.514,
|
765 |
+
"step": 2990
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.5913666279519938,
|
769 |
+
"grad_norm": 11.042977333068848,
|
770 |
+
"learning_rate": 1.7723577235772357e-05,
|
771 |
+
"loss": 0.5256,
|
772 |
+
"step": 3055
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.6039488966318235,
|
776 |
+
"grad_norm": 28.415281295776367,
|
777 |
+
"learning_rate": 1.810104529616725e-05,
|
778 |
+
"loss": 0.5574,
|
779 |
+
"step": 3120
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.6165311653116531,
|
783 |
+
"grad_norm": 1.138208270072937,
|
784 |
+
"learning_rate": 1.8478513356562136e-05,
|
785 |
+
"loss": 0.5669,
|
786 |
+
"step": 3185
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.6291134339914828,
|
790 |
+
"grad_norm": 0.38507771492004395,
|
791 |
+
"learning_rate": 1.885598141695703e-05,
|
792 |
+
"loss": 0.5185,
|
793 |
+
"step": 3250
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.6416957026713124,
|
797 |
+
"grad_norm": 0.4718106687068939,
|
798 |
+
"learning_rate": 1.9233449477351914e-05,
|
799 |
+
"loss": 0.4875,
|
800 |
+
"step": 3315
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.6542779713511421,
|
804 |
+
"grad_norm": 0.3544551432132721,
|
805 |
+
"learning_rate": 1.9610917537746807e-05,
|
806 |
+
"loss": 0.5773,
|
807 |
+
"step": 3380
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.6668602400309718,
|
811 |
+
"grad_norm": 15.193903923034668,
|
812 |
+
"learning_rate": 1.9988385598141696e-05,
|
813 |
+
"loss": 0.6102,
|
814 |
+
"step": 3445
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.6794425087108014,
|
818 |
+
"grad_norm": 14.930959701538086,
|
819 |
+
"learning_rate": 2.0365853658536586e-05,
|
820 |
+
"loss": 0.5882,
|
821 |
+
"step": 3510
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.6920247773906311,
|
825 |
+
"grad_norm": 0.7249612212181091,
|
826 |
+
"learning_rate": 2.0743321718931475e-05,
|
827 |
+
"loss": 0.5888,
|
828 |
+
"step": 3575
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.7046070460704607,
|
832 |
+
"grad_norm": 0.21552956104278564,
|
833 |
+
"learning_rate": 2.1120789779326364e-05,
|
834 |
+
"loss": 0.6088,
|
835 |
+
"step": 3640
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.7171893147502904,
|
839 |
+
"grad_norm": 3.176356554031372,
|
840 |
+
"learning_rate": 2.1498257839721253e-05,
|
841 |
+
"loss": 0.688,
|
842 |
+
"step": 3705
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.72977158343012,
|
846 |
+
"grad_norm": 4.0542378425598145,
|
847 |
+
"learning_rate": 2.1875725900116146e-05,
|
848 |
+
"loss": 0.6541,
|
849 |
+
"step": 3770
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.7423538521099496,
|
853 |
+
"grad_norm": 0.5486993193626404,
|
854 |
+
"learning_rate": 2.2253193960511032e-05,
|
855 |
+
"loss": 0.4526,
|
856 |
+
"step": 3835
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.7502903600464577,
|
860 |
+
"eval_StS-test_pearson_cosine": 0.8754429584344908,
|
861 |
+
"eval_StS-test_pearson_dot": 0.7812438977199179,
|
862 |
+
"eval_StS-test_pearson_euclidean": 0.863532080020405,
|
863 |
+
"eval_StS-test_pearson_manhattan": 0.8642206125042041,
|
864 |
+
"eval_StS-test_pearson_max": 0.8754429584344908,
|
865 |
+
"eval_StS-test_spearman_cosine": 0.8899322603927042,
|
866 |
+
"eval_StS-test_spearman_dot": 0.7897822634826679,
|
867 |
+
"eval_StS-test_spearman_euclidean": 0.8661349339052001,
|
868 |
+
"eval_StS-test_spearman_manhattan": 0.8677664578276145,
|
869 |
+
"eval_StS-test_spearman_max": 0.8899322603927042,
|
870 |
+
"eval_Vitaminc-test_cosine_accuracy": 0.5815789473684211,
|
871 |
+
"eval_Vitaminc-test_cosine_accuracy_threshold": 0.7150823473930359,
|
872 |
+
"eval_Vitaminc-test_cosine_ap": 0.5695623413042502,
|
873 |
+
"eval_Vitaminc-test_cosine_f1": 0.6690909090909091,
|
874 |
+
"eval_Vitaminc-test_cosine_f1_threshold": 0.4144631028175354,
|
875 |
+
"eval_Vitaminc-test_cosine_precision": 0.5041095890410959,
|
876 |
+
"eval_Vitaminc-test_cosine_recall": 0.9945945945945946,
|
877 |
+
"eval_Vitaminc-test_dot_accuracy": 0.5631578947368421,
|
878 |
+
"eval_Vitaminc-test_dot_accuracy_threshold": 25.451148986816406,
|
879 |
+
"eval_Vitaminc-test_dot_ap": 0.5500277455332443,
|
880 |
+
"eval_Vitaminc-test_dot_f1": 0.6691449814126395,
|
881 |
+
"eval_Vitaminc-test_dot_f1_threshold": 14.098217964172363,
|
882 |
+
"eval_Vitaminc-test_dot_precision": 0.509915014164306,
|
883 |
+
"eval_Vitaminc-test_dot_recall": 0.972972972972973,
|
884 |
+
"eval_Vitaminc-test_euclidean_accuracy": 0.5736842105263158,
|
885 |
+
"eval_Vitaminc-test_euclidean_accuracy_threshold": 3.945739269256592,
|
886 |
+
"eval_Vitaminc-test_euclidean_ap": 0.5590599048028368,
|
887 |
+
"eval_Vitaminc-test_euclidean_f1": 0.6654478976234005,
|
888 |
+
"eval_Vitaminc-test_euclidean_f1_threshold": 6.931303024291992,
|
889 |
+
"eval_Vitaminc-test_euclidean_precision": 0.5027624309392266,
|
890 |
+
"eval_Vitaminc-test_euclidean_recall": 0.9837837837837838,
|
891 |
+
"eval_Vitaminc-test_manhattan_accuracy": 0.5736842105263158,
|
892 |
+
"eval_Vitaminc-test_manhattan_accuracy_threshold": 84.99573516845703,
|
893 |
+
"eval_Vitaminc-test_manhattan_ap": 0.559747734383099,
|
894 |
+
"eval_Vitaminc-test_manhattan_f1": 0.6679035250463822,
|
895 |
+
"eval_Vitaminc-test_manhattan_f1_threshold": 139.30535888671875,
|
896 |
+
"eval_Vitaminc-test_manhattan_precision": 0.5084745762711864,
|
897 |
+
"eval_Vitaminc-test_manhattan_recall": 0.972972972972973,
|
898 |
+
"eval_Vitaminc-test_max_accuracy": 0.5815789473684211,
|
899 |
+
"eval_Vitaminc-test_max_accuracy_threshold": 84.99573516845703,
|
900 |
+
"eval_Vitaminc-test_max_ap": 0.5695623413042502,
|
901 |
+
"eval_Vitaminc-test_max_f1": 0.6691449814126395,
|
902 |
+
"eval_Vitaminc-test_max_f1_threshold": 139.30535888671875,
|
903 |
+
"eval_Vitaminc-test_max_precision": 0.509915014164306,
|
904 |
+
"eval_Vitaminc-test_max_recall": 0.9945945945945946,
|
905 |
+
"eval_mrpc-test_cosine_accuracy": 0.7447368421052631,
|
906 |
+
"eval_mrpc-test_cosine_accuracy_threshold": 0.7351576089859009,
|
907 |
+
"eval_mrpc-test_cosine_ap": 0.8492225227540071,
|
908 |
+
"eval_mrpc-test_cosine_f1": 0.8274647887323944,
|
909 |
+
"eval_mrpc-test_cosine_f1_threshold": 0.7097899913787842,
|
910 |
+
"eval_mrpc-test_cosine_precision": 0.734375,
|
911 |
+
"eval_mrpc-test_cosine_recall": 0.9475806451612904,
|
912 |
+
"eval_mrpc-test_dot_accuracy": 0.6947368421052632,
|
913 |
+
"eval_mrpc-test_dot_accuracy_threshold": 13.770221710205078,
|
914 |
+
"eval_mrpc-test_dot_ap": 0.7664430695917603,
|
915 |
+
"eval_mrpc-test_dot_f1": 0.8060200668896322,
|
916 |
+
"eval_mrpc-test_dot_f1_threshold": 13.664058685302734,
|
917 |
+
"eval_mrpc-test_dot_precision": 0.6885714285714286,
|
918 |
+
"eval_mrpc-test_dot_recall": 0.9717741935483871,
|
919 |
+
"eval_mrpc-test_euclidean_accuracy": 0.7421052631578947,
|
920 |
+
"eval_mrpc-test_euclidean_accuracy_threshold": 3.573061466217041,
|
921 |
+
"eval_mrpc-test_euclidean_ap": 0.8229315066081502,
|
922 |
+
"eval_mrpc-test_euclidean_f1": 0.8216216216216217,
|
923 |
+
"eval_mrpc-test_euclidean_f1_threshold": 3.7641119956970215,
|
924 |
+
"eval_mrpc-test_euclidean_precision": 0.742671009771987,
|
925 |
+
"eval_mrpc-test_euclidean_recall": 0.9193548387096774,
|
926 |
+
"eval_mrpc-test_manhattan_accuracy": 0.7394736842105263,
|
927 |
+
"eval_mrpc-test_manhattan_accuracy_threshold": 75.05320739746094,
|
928 |
+
"eval_mrpc-test_manhattan_ap": 0.8195074272882318,
|
929 |
+
"eval_mrpc-test_manhattan_f1": 0.8228980322003578,
|
930 |
+
"eval_mrpc-test_manhattan_f1_threshold": 76.21920013427734,
|
931 |
+
"eval_mrpc-test_manhattan_precision": 0.7395498392282959,
|
932 |
+
"eval_mrpc-test_manhattan_recall": 0.9274193548387096,
|
933 |
+
"eval_mrpc-test_max_accuracy": 0.7447368421052631,
|
934 |
+
"eval_mrpc-test_max_accuracy_threshold": 75.05320739746094,
|
935 |
+
"eval_mrpc-test_max_ap": 0.8492225227540071,
|
936 |
+
"eval_mrpc-test_max_f1": 0.8274647887323944,
|
937 |
+
"eval_mrpc-test_max_f1_threshold": 76.21920013427734,
|
938 |
+
"eval_mrpc-test_max_precision": 0.742671009771987,
|
939 |
+
"eval_mrpc-test_max_recall": 0.9717741935483871,
|
940 |
+
"eval_nli-pairs_loss": 0.8814637064933777,
|
941 |
+
"eval_nli-pairs_runtime": 2.9865,
|
942 |
+
"eval_nli-pairs_samples_per_second": 53.575,
|
943 |
+
"eval_nli-pairs_steps_per_second": 1.674,
|
944 |
+
"eval_sequential_score": 0.5695623413042502,
|
945 |
+
"step": 3876
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.7502903600464577,
|
949 |
+
"eval_vitaminc-pairs_loss": 5.706007957458496,
|
950 |
+
"eval_vitaminc-pairs_runtime": 1.5554,
|
951 |
+
"eval_vitaminc-pairs_samples_per_second": 85.507,
|
952 |
+
"eval_vitaminc-pairs_steps_per_second": 3.215,
|
953 |
+
"step": 3876
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.7502903600464577,
|
957 |
+
"eval_qnli-contrastive_loss": 0.14242754876613617,
|
958 |
+
"eval_qnli-contrastive_runtime": 0.5128,
|
959 |
+
"eval_qnli-contrastive_samples_per_second": 311.993,
|
960 |
+
"eval_qnli-contrastive_steps_per_second": 9.75,
|
961 |
+
"step": 3876
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.7502903600464577,
|
965 |
+
"eval_scitail-pairs-qa_loss": 0.0674210786819458,
|
966 |
+
"eval_scitail-pairs-qa_runtime": 1.2622,
|
967 |
+
"eval_scitail-pairs-qa_samples_per_second": 126.759,
|
968 |
+
"eval_scitail-pairs-qa_steps_per_second": 3.961,
|
969 |
+
"step": 3876
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.7502903600464577,
|
973 |
+
"eval_scitail-pairs-pos_loss": 0.36303356289863586,
|
974 |
+
"eval_scitail-pairs-pos_runtime": 2.3597,
|
975 |
+
"eval_scitail-pairs-pos_samples_per_second": 67.806,
|
976 |
+
"eval_scitail-pairs-pos_steps_per_second": 2.119,
|
977 |
+
"step": 3876
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.7502903600464577,
|
981 |
+
"eval_xsum-pairs_loss": 0.32611021399497986,
|
982 |
+
"eval_xsum-pairs_runtime": 1.4024,
|
983 |
+
"eval_xsum-pairs_samples_per_second": 114.091,
|
984 |
+
"eval_xsum-pairs_steps_per_second": 3.565,
|
985 |
+
"step": 3876
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 0.7502903600464577,
|
989 |
+
"eval_compression-pairs_loss": 0.08624111860990524,
|
990 |
+
"eval_compression-pairs_runtime": 0.3948,
|
991 |
+
"eval_compression-pairs_samples_per_second": 405.263,
|
992 |
+
"eval_compression-pairs_steps_per_second": 12.664,
|
993 |
+
"step": 3876
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.7502903600464577,
|
997 |
+
"eval_sciq_pairs_loss": 0.2929747402667999,
|
998 |
+
"eval_sciq_pairs_runtime": 7.9352,
|
999 |
+
"eval_sciq_pairs_samples_per_second": 20.163,
|
1000 |
+
"eval_sciq_pairs_steps_per_second": 0.63,
|
1001 |
+
"step": 3876
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.7502903600464577,
|
1005 |
+
"eval_qasc_pairs_loss": 0.20694346725940704,
|
1006 |
+
"eval_qasc_pairs_runtime": 1.4441,
|
1007 |
+
"eval_qasc_pairs_samples_per_second": 110.798,
|
1008 |
+
"eval_qasc_pairs_steps_per_second": 3.462,
|
1009 |
+
"step": 3876
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.7502903600464577,
|
1013 |
+
"eval_qasc_facts_sym_loss": 0.14476129412651062,
|
1014 |
+
"eval_qasc_facts_sym_runtime": 0.3295,
|
1015 |
+
"eval_qasc_facts_sym_samples_per_second": 485.621,
|
1016 |
+
"eval_qasc_facts_sym_steps_per_second": 15.176,
|
1017 |
+
"step": 3876
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.7502903600464577,
|
1021 |
+
"eval_openbookqa_pairs_loss": 1.7119003534317017,
|
1022 |
+
"eval_openbookqa_pairs_runtime": 1.2433,
|
1023 |
+
"eval_openbookqa_pairs_samples_per_second": 128.687,
|
1024 |
+
"eval_openbookqa_pairs_steps_per_second": 4.021,
|
1025 |
+
"step": 3876
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.7502903600464577,
|
1029 |
+
"eval_msmarco_pairs_loss": 0.4974798262119293,
|
1030 |
+
"eval_msmarco_pairs_runtime": 3.1059,
|
1031 |
+
"eval_msmarco_pairs_samples_per_second": 51.516,
|
1032 |
+
"eval_msmarco_pairs_steps_per_second": 1.61,
|
1033 |
+
"step": 3876
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.7502903600464577,
|
1037 |
+
"eval_nq_pairs_loss": 0.46937060356140137,
|
1038 |
+
"eval_nq_pairs_runtime": 7.6944,
|
1039 |
+
"eval_nq_pairs_samples_per_second": 20.794,
|
1040 |
+
"eval_nq_pairs_steps_per_second": 0.65,
|
1041 |
+
"step": 3876
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.7502903600464577,
|
1045 |
+
"eval_trivia_pairs_loss": 0.6990238428115845,
|
1046 |
+
"eval_trivia_pairs_runtime": 10.1876,
|
1047 |
+
"eval_trivia_pairs_samples_per_second": 15.705,
|
1048 |
+
"eval_trivia_pairs_steps_per_second": 0.491,
|
1049 |
+
"step": 3876
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.7502903600464577,
|
1053 |
+
"eval_quora_pairs_loss": 0.21933521330356598,
|
1054 |
+
"eval_quora_pairs_runtime": 3.8953,
|
1055 |
+
"eval_quora_pairs_samples_per_second": 173.287,
|
1056 |
+
"eval_quora_pairs_steps_per_second": 5.648,
|
1057 |
+
"step": 3876
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 0.7502903600464577,
|
1061 |
+
"eval_gooaq_pairs_loss": 0.5000605583190918,
|
1062 |
+
"eval_gooaq_pairs_runtime": 2.2758,
|
1063 |
+
"eval_gooaq_pairs_samples_per_second": 70.306,
|
1064 |
+
"eval_gooaq_pairs_steps_per_second": 2.197,
|
1065 |
+
"step": 3876
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.7502903600464577,
|
1069 |
+
"eval_mrpc_pairs_loss": 0.044196613132953644,
|
1070 |
+
"eval_mrpc_pairs_runtime": 0.3742,
|
1071 |
+
"eval_mrpc_pairs_samples_per_second": 427.588,
|
1072 |
+
"eval_mrpc_pairs_steps_per_second": 13.362,
|
1073 |
+
"step": 3876
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.7549361207897793,
|
1077 |
+
"grad_norm": 1.587725281715393,
|
1078 |
+
"learning_rate": 2.2630662020905924e-05,
|
1079 |
+
"loss": 0.4466,
|
1080 |
+
"step": 3900
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.7675183894696089,
|
1084 |
+
"grad_norm": 9.404407501220703,
|
1085 |
+
"learning_rate": 2.3008130081300814e-05,
|
1086 |
+
"loss": 0.6293,
|
1087 |
+
"step": 3965
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.7801006581494386,
|
1091 |
+
"grad_norm": 3.672903537750244,
|
1092 |
+
"learning_rate": 2.3385598141695703e-05,
|
1093 |
+
"loss": 0.5591,
|
1094 |
+
"step": 4030
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.7926829268292683,
|
1098 |
+
"grad_norm": 1.3529752492904663,
|
1099 |
+
"learning_rate": 2.3763066202090596e-05,
|
1100 |
+
"loss": 0.5702,
|
1101 |
+
"step": 4095
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.8052651955090979,
|
1105 |
+
"grad_norm": 21.519527435302734,
|
1106 |
+
"learning_rate": 2.414053426248548e-05,
|
1107 |
+
"loss": 0.4645,
|
1108 |
+
"step": 4160
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.8178474641889276,
|
1112 |
+
"grad_norm": 5.5179362297058105,
|
1113 |
+
"learning_rate": 2.4518002322880374e-05,
|
1114 |
+
"loss": 0.5175,
|
1115 |
+
"step": 4225
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.8304297328687572,
|
1119 |
+
"grad_norm": 10.127123832702637,
|
1120 |
+
"learning_rate": 2.489547038327526e-05,
|
1121 |
+
"loss": 0.5188,
|
1122 |
+
"step": 4290
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.8430120015485869,
|
1126 |
+
"grad_norm": 5.518251895904541,
|
1127 |
+
"learning_rate": 2.5272938443670153e-05,
|
1128 |
+
"loss": 0.4908,
|
1129 |
+
"step": 4355
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.8555942702284166,
|
1133 |
+
"grad_norm": 0.7371014356613159,
|
1134 |
+
"learning_rate": 2.5650406504065042e-05,
|
1135 |
+
"loss": 0.5075,
|
1136 |
+
"step": 4420
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.8681765389082462,
|
1140 |
+
"grad_norm": 22.15941619873047,
|
1141 |
+
"learning_rate": 2.602206736353078e-05,
|
1142 |
+
"loss": 0.5625,
|
1143 |
+
"step": 4485
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.8807588075880759,
|
1147 |
+
"grad_norm": 1.0873440504074097,
|
1148 |
+
"learning_rate": 2.6399535423925668e-05,
|
1149 |
+
"loss": 0.4952,
|
1150 |
+
"step": 4550
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.8933410762679055,
|
1154 |
+
"grad_norm": 19.877098083496094,
|
1155 |
+
"learning_rate": 2.6777003484320557e-05,
|
1156 |
+
"loss": 0.5818,
|
1157 |
+
"step": 4615
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.9059233449477352,
|
1161 |
+
"grad_norm": 9.559219360351562,
|
1162 |
+
"learning_rate": 2.715447154471545e-05,
|
1163 |
+
"loss": 0.6346,
|
1164 |
+
"step": 4680
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.9185056136275649,
|
1168 |
+
"grad_norm": 2.896815299987793,
|
1169 |
+
"learning_rate": 2.7531939605110336e-05,
|
1170 |
+
"loss": 0.4971,
|
1171 |
+
"step": 4745
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.9310878823073945,
|
1175 |
+
"grad_norm": 4.5045318603515625,
|
1176 |
+
"learning_rate": 2.7909407665505228e-05,
|
1177 |
+
"loss": 0.4834,
|
1178 |
+
"step": 4810
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.9436701509872242,
|
1182 |
+
"grad_norm": 1.2259025573730469,
|
1183 |
+
"learning_rate": 2.8286875725900114e-05,
|
1184 |
+
"loss": 0.5992,
|
1185 |
+
"step": 4875
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.9562524196670538,
|
1189 |
+
"grad_norm": 9.3356294631958,
|
1190 |
+
"learning_rate": 2.8664343786295007e-05,
|
1191 |
+
"loss": 0.5244,
|
1192 |
+
"step": 4940
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.9688346883468835,
|
1196 |
+
"grad_norm": 2.221039056777954,
|
1197 |
+
"learning_rate": 2.9041811846689896e-05,
|
1198 |
+
"loss": 0.6051,
|
1199 |
+
"step": 5005
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.9814169570267132,
|
1203 |
+
"grad_norm": 1.3200041055679321,
|
1204 |
+
"learning_rate": 2.9419279907084785e-05,
|
1205 |
+
"loss": 0.4323,
|
1206 |
+
"step": 5070
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.9939992257065428,
|
1210 |
+
"grad_norm": 8.689266204833984,
|
1211 |
+
"learning_rate": 2.9796747967479674e-05,
|
1212 |
+
"loss": 0.5347,
|
1213 |
+
"step": 5135
|
1214 |
+
}
|
1215 |
+
],
|
1216 |
+
"logging_steps": 65,
|
1217 |
+
"max_steps": 25830,
|
1218 |
+
"num_input_tokens_seen": 0,
|
1219 |
+
"num_train_epochs": 5,
|
1220 |
+
"save_steps": 2583,
|
1221 |
+
"stateful_callbacks": {
|
1222 |
+
"TrainerControl": {
|
1223 |
+
"args": {
|
1224 |
+
"should_epoch_stop": false,
|
1225 |
+
"should_evaluate": false,
|
1226 |
+
"should_log": false,
|
1227 |
+
"should_save": true,
|
1228 |
+
"should_training_stop": false
|
1229 |
+
},
|
1230 |
+
"attributes": {}
|
1231 |
+
}
|
1232 |
+
},
|
1233 |
+
"total_flos": 0.0,
|
1234 |
+
"train_batch_size": 32,
|
1235 |
+
"trial_name": null,
|
1236 |
+
"trial_params": null
|
1237 |
+
}
|
checkpoint-5166/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2519118bce6ce43cd8ca9ca2ad2ad4642dfcfe5f9a3c6dd2eeb5a81e8223693e
|
3 |
+
size 5624
|