Training in progress, step 314, checkpoint
Browse files- checkpoint-314/1_Pooling/config.json +10 -0
- checkpoint-314/README.md +0 -0
- checkpoint-314/added_tokens.json +3 -0
- checkpoint-314/config.json +38 -0
- checkpoint-314/config_sentence_transformers.json +10 -0
- checkpoint-314/modules.json +14 -0
- checkpoint-314/optimizer.pt +3 -0
- checkpoint-314/pytorch_model.bin +3 -0
- checkpoint-314/rng_state.pth +3 -0
- checkpoint-314/scheduler.pt +3 -0
- checkpoint-314/sentence_bert_config.json +4 -0
- checkpoint-314/special_tokens_map.json +15 -0
- checkpoint-314/spm.model +3 -0
- checkpoint-314/tokenizer.json +0 -0
- checkpoint-314/tokenizer_config.json +58 -0
- checkpoint-314/trainer_state.json +552 -0
- checkpoint-314/training_args.bin +3 -0
checkpoint-314/1_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-314/README.md
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-314/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-314/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-314/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-314/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-314/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fabaab791e03f22bac194ba19d0eb2270e46de0e0c2d051d8d34c06453941e15
|
3 |
+
size 7077084396
|
checkpoint-314/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d733084113f2893ce254002a7cf5a477e1d084d00e09601bfc8fde2d22419a09
|
3 |
+
size 3538506546
|
checkpoint-314/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c57c4cbfd77c370dd8c2670f16e3d2bb63ec4d988561c08926697606c17f376
|
3 |
+
size 14244
|
checkpoint-314/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e8a88235f2ad3cdaa2bed3d6206b18485574540f7e32fe96bd8902c5b1931b9d
|
3 |
+
size 1064
|
checkpoint-314/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-314/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-314/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
|
3 |
+
size 2447305
|
checkpoint-314/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-314/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-314/trainer_state.json
ADDED
@@ -0,0 +1,552 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.20076726342711,
|
5 |
+
"eval_steps": 157,
|
6 |
+
"global_step": 314,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.010230179028132993,
|
13 |
+
"grad_norm": 200.60667419433594,
|
14 |
+
"learning_rate": 2.129925452609159e-07,
|
15 |
+
"loss": 7.1882,
|
16 |
+
"step": 16
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.020460358056265986,
|
20 |
+
"grad_norm": 174.4742889404297,
|
21 |
+
"learning_rate": 5.324813631522898e-07,
|
22 |
+
"loss": 9.1489,
|
23 |
+
"step": 32
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.030690537084398978,
|
27 |
+
"grad_norm": 193.9903106689453,
|
28 |
+
"learning_rate": 8.732694355697552e-07,
|
29 |
+
"loss": 8.805,
|
30 |
+
"step": 48
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04092071611253197,
|
34 |
+
"grad_norm": 3077.94775390625,
|
35 |
+
"learning_rate": 1.192758253461129e-06,
|
36 |
+
"loss": 5.7489,
|
37 |
+
"step": 64
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05115089514066496,
|
41 |
+
"grad_norm": 80.12879943847656,
|
42 |
+
"learning_rate": 1.5335463258785943e-06,
|
43 |
+
"loss": 4.7163,
|
44 |
+
"step": 80
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.061381074168797956,
|
48 |
+
"grad_norm": 99.18599700927734,
|
49 |
+
"learning_rate": 1.8743343982960599e-06,
|
50 |
+
"loss": 3.176,
|
51 |
+
"step": 96
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07161125319693094,
|
55 |
+
"grad_norm": 23.476715087890625,
|
56 |
+
"learning_rate": 2.1938232161874336e-06,
|
57 |
+
"loss": 2.034,
|
58 |
+
"step": 112
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.08184143222506395,
|
62 |
+
"grad_norm": 39.820777893066406,
|
63 |
+
"learning_rate": 2.534611288604899e-06,
|
64 |
+
"loss": 1.1278,
|
65 |
+
"step": 128
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.09207161125319693,
|
69 |
+
"grad_norm": 12.513270378112793,
|
70 |
+
"learning_rate": 2.8753993610223648e-06,
|
71 |
+
"loss": 0.7996,
|
72 |
+
"step": 144
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.100383631713555,
|
76 |
+
"eval_Qnli-dev_cosine_accuracy": 0.662109375,
|
77 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.8656402826309204,
|
78 |
+
"eval_Qnli-dev_cosine_ap": 0.6654869266843996,
|
79 |
+
"eval_Qnli-dev_cosine_f1": 0.6504559270516718,
|
80 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.6888570785522461,
|
81 |
+
"eval_Qnli-dev_cosine_precision": 0.5071090047393365,
|
82 |
+
"eval_Qnli-dev_cosine_recall": 0.9067796610169492,
|
83 |
+
"eval_Qnli-dev_dot_accuracy": 0.654296875,
|
84 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 905.306640625,
|
85 |
+
"eval_Qnli-dev_dot_ap": 0.6262830221036416,
|
86 |
+
"eval_Qnli-dev_dot_f1": 0.65625,
|
87 |
+
"eval_Qnli-dev_dot_f1_threshold": 810.4493408203125,
|
88 |
+
"eval_Qnli-dev_dot_precision": 0.5558823529411765,
|
89 |
+
"eval_Qnli-dev_dot_recall": 0.8008474576271186,
|
90 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.662109375,
|
91 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 17.05492401123047,
|
92 |
+
"eval_Qnli-dev_euclidean_ap": 0.6671756125841228,
|
93 |
+
"eval_Qnli-dev_euclidean_f1": 0.6495176848874598,
|
94 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 23.73143768310547,
|
95 |
+
"eval_Qnli-dev_euclidean_precision": 0.5233160621761658,
|
96 |
+
"eval_Qnli-dev_euclidean_recall": 0.8559322033898306,
|
97 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.65625,
|
98 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 526.1962890625,
|
99 |
+
"eval_Qnli-dev_manhattan_ap": 0.6662986170174698,
|
100 |
+
"eval_Qnli-dev_manhattan_f1": 0.6487341772151899,
|
101 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 748.320068359375,
|
102 |
+
"eval_Qnli-dev_manhattan_precision": 0.5176767676767676,
|
103 |
+
"eval_Qnli-dev_manhattan_recall": 0.8686440677966102,
|
104 |
+
"eval_Qnli-dev_max_accuracy": 0.662109375,
|
105 |
+
"eval_Qnli-dev_max_accuracy_threshold": 905.306640625,
|
106 |
+
"eval_Qnli-dev_max_ap": 0.6671756125841228,
|
107 |
+
"eval_Qnli-dev_max_f1": 0.65625,
|
108 |
+
"eval_Qnli-dev_max_f1_threshold": 810.4493408203125,
|
109 |
+
"eval_Qnli-dev_max_precision": 0.5558823529411765,
|
110 |
+
"eval_Qnli-dev_max_recall": 0.9067796610169492,
|
111 |
+
"eval_allNLI-dev_cosine_accuracy": 0.6875,
|
112 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9388645887374878,
|
113 |
+
"eval_allNLI-dev_cosine_ap": 0.5213973850248246,
|
114 |
+
"eval_allNLI-dev_cosine_f1": 0.5590361445783132,
|
115 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.7874077558517456,
|
116 |
+
"eval_allNLI-dev_cosine_precision": 0.4793388429752066,
|
117 |
+
"eval_allNLI-dev_cosine_recall": 0.6705202312138728,
|
118 |
+
"eval_allNLI-dev_dot_accuracy": 0.6953125,
|
119 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 942.6085205078125,
|
120 |
+
"eval_allNLI-dev_dot_ap": 0.520777376545363,
|
121 |
+
"eval_allNLI-dev_dot_f1": 0.5538461538461539,
|
122 |
+
"eval_allNLI-dev_dot_f1_threshold": 817.1332397460938,
|
123 |
+
"eval_allNLI-dev_dot_precision": 0.44680851063829785,
|
124 |
+
"eval_allNLI-dev_dot_recall": 0.7283236994219653,
|
125 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.6875,
|
126 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 12.643478393554688,
|
127 |
+
"eval_allNLI-dev_euclidean_ap": 0.518083458930424,
|
128 |
+
"eval_allNLI-dev_euclidean_f1": 0.5605381165919282,
|
129 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 22.352760314941406,
|
130 |
+
"eval_allNLI-dev_euclidean_precision": 0.45787545787545786,
|
131 |
+
"eval_allNLI-dev_euclidean_recall": 0.7225433526011561,
|
132 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.6875,
|
133 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 392.8375549316406,
|
134 |
+
"eval_allNLI-dev_manhattan_ap": 0.5229585168795372,
|
135 |
+
"eval_allNLI-dev_manhattan_f1": 0.5590909090909091,
|
136 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 690.5735473632812,
|
137 |
+
"eval_allNLI-dev_manhattan_precision": 0.4606741573033708,
|
138 |
+
"eval_allNLI-dev_manhattan_recall": 0.7109826589595376,
|
139 |
+
"eval_allNLI-dev_max_accuracy": 0.6953125,
|
140 |
+
"eval_allNLI-dev_max_accuracy_threshold": 942.6085205078125,
|
141 |
+
"eval_allNLI-dev_max_ap": 0.5229585168795372,
|
142 |
+
"eval_allNLI-dev_max_f1": 0.5605381165919282,
|
143 |
+
"eval_allNLI-dev_max_f1_threshold": 817.1332397460938,
|
144 |
+
"eval_allNLI-dev_max_precision": 0.4793388429752066,
|
145 |
+
"eval_allNLI-dev_max_recall": 0.7283236994219653,
|
146 |
+
"eval_sequential_score": 0.6671756125841228,
|
147 |
+
"eval_sts-test_pearson_cosine": 0.8718645025760672,
|
148 |
+
"eval_sts-test_pearson_dot": 0.8442027854618407,
|
149 |
+
"eval_sts-test_pearson_euclidean": 0.8902978035400368,
|
150 |
+
"eval_sts-test_pearson_manhattan": 0.8909390707647828,
|
151 |
+
"eval_sts-test_pearson_max": 0.8909390707647828,
|
152 |
+
"eval_sts-test_spearman_cosine": 0.8775905391512535,
|
153 |
+
"eval_sts-test_spearman_dot": 0.8282565695883292,
|
154 |
+
"eval_sts-test_spearman_euclidean": 0.8785767674497972,
|
155 |
+
"eval_sts-test_spearman_manhattan": 0.8796654313856657,
|
156 |
+
"eval_sts-test_spearman_max": 0.8796654313856657,
|
157 |
+
"eval_vitaminc-pairs_loss": 3.82141375541687,
|
158 |
+
"eval_vitaminc-pairs_runtime": 4.6321,
|
159 |
+
"eval_vitaminc-pairs_samples_per_second": 27.633,
|
160 |
+
"eval_vitaminc-pairs_steps_per_second": 0.216,
|
161 |
+
"step": 157
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.100383631713555,
|
165 |
+
"eval_negation-triplets_loss": 1.2526816129684448,
|
166 |
+
"eval_negation-triplets_runtime": 3.4008,
|
167 |
+
"eval_negation-triplets_samples_per_second": 37.638,
|
168 |
+
"eval_negation-triplets_steps_per_second": 0.294,
|
169 |
+
"step": 157
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.100383631713555,
|
173 |
+
"eval_scitail-pairs-pos_loss": 0.07802588492631912,
|
174 |
+
"eval_scitail-pairs-pos_runtime": 2.7191,
|
175 |
+
"eval_scitail-pairs-pos_samples_per_second": 47.075,
|
176 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.368,
|
177 |
+
"step": 157
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.100383631713555,
|
181 |
+
"eval_scitail-pairs-qa_loss": 0.11051780730485916,
|
182 |
+
"eval_scitail-pairs-qa_runtime": 2.1249,
|
183 |
+
"eval_scitail-pairs-qa_samples_per_second": 60.237,
|
184 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.471,
|
185 |
+
"step": 157
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.100383631713555,
|
189 |
+
"eval_xsum-pairs_loss": 0.1444225311279297,
|
190 |
+
"eval_xsum-pairs_runtime": 3.075,
|
191 |
+
"eval_xsum-pairs_samples_per_second": 41.626,
|
192 |
+
"eval_xsum-pairs_steps_per_second": 0.325,
|
193 |
+
"step": 157
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.100383631713555,
|
197 |
+
"eval_sciq_pairs_loss": 0.10900198668241501,
|
198 |
+
"eval_sciq_pairs_runtime": 4.6201,
|
199 |
+
"eval_sciq_pairs_samples_per_second": 27.705,
|
200 |
+
"eval_sciq_pairs_steps_per_second": 0.216,
|
201 |
+
"step": 157
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.100383631713555,
|
205 |
+
"eval_qasc_pairs_loss": 0.8441975116729736,
|
206 |
+
"eval_qasc_pairs_runtime": 2.0926,
|
207 |
+
"eval_qasc_pairs_samples_per_second": 61.168,
|
208 |
+
"eval_qasc_pairs_steps_per_second": 0.478,
|
209 |
+
"step": 157
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.100383631713555,
|
213 |
+
"eval_openbookqa_pairs_loss": 0.7852775454521179,
|
214 |
+
"eval_openbookqa_pairs_runtime": 2.2378,
|
215 |
+
"eval_openbookqa_pairs_samples_per_second": 57.198,
|
216 |
+
"eval_openbookqa_pairs_steps_per_second": 0.447,
|
217 |
+
"step": 157
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.100383631713555,
|
221 |
+
"eval_msmarco_pairs_loss": 0.7973570823669434,
|
222 |
+
"eval_msmarco_pairs_runtime": 2.2477,
|
223 |
+
"eval_msmarco_pairs_samples_per_second": 56.948,
|
224 |
+
"eval_msmarco_pairs_steps_per_second": 0.445,
|
225 |
+
"step": 157
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.100383631713555,
|
229 |
+
"eval_nq_pairs_loss": 1.149829387664795,
|
230 |
+
"eval_nq_pairs_runtime": 3.1982,
|
231 |
+
"eval_nq_pairs_samples_per_second": 40.023,
|
232 |
+
"eval_nq_pairs_steps_per_second": 0.313,
|
233 |
+
"step": 157
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.100383631713555,
|
237 |
+
"eval_trivia_pairs_loss": 0.46642398834228516,
|
238 |
+
"eval_trivia_pairs_runtime": 3.2778,
|
239 |
+
"eval_trivia_pairs_samples_per_second": 39.05,
|
240 |
+
"eval_trivia_pairs_steps_per_second": 0.305,
|
241 |
+
"step": 157
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.100383631713555,
|
245 |
+
"eval_gooaq_pairs_loss": 0.7757962346076965,
|
246 |
+
"eval_gooaq_pairs_runtime": 2.1385,
|
247 |
+
"eval_gooaq_pairs_samples_per_second": 59.856,
|
248 |
+
"eval_gooaq_pairs_steps_per_second": 0.468,
|
249 |
+
"step": 157
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.100383631713555,
|
253 |
+
"eval_paws-pos_loss": 0.03750575706362724,
|
254 |
+
"eval_paws-pos_runtime": 2.2521,
|
255 |
+
"eval_paws-pos_samples_per_second": 56.836,
|
256 |
+
"eval_paws-pos_steps_per_second": 0.444,
|
257 |
+
"step": 157
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.100383631713555,
|
261 |
+
"eval_global_dataset_loss": 0.48674729466438293,
|
262 |
+
"eval_global_dataset_runtime": 8.6002,
|
263 |
+
"eval_global_dataset_samples_per_second": 37.79,
|
264 |
+
"eval_global_dataset_steps_per_second": 0.349,
|
265 |
+
"step": 157
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.10230179028132992,
|
269 |
+
"grad_norm": 45.195247650146484,
|
270 |
+
"learning_rate": 3.2161874334398298e-06,
|
271 |
+
"loss": 0.54,
|
272 |
+
"step": 160
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.11253196930946291,
|
276 |
+
"grad_norm": 64.59953308105469,
|
277 |
+
"learning_rate": 3.556975505857295e-06,
|
278 |
+
"loss": 0.6267,
|
279 |
+
"step": 176
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.12276214833759591,
|
283 |
+
"grad_norm": 108.30097961425781,
|
284 |
+
"learning_rate": 3.8977635782747605e-06,
|
285 |
+
"loss": 0.401,
|
286 |
+
"step": 192
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 0.1329923273657289,
|
290 |
+
"grad_norm": 10.606786727905273,
|
291 |
+
"learning_rate": 4.238551650692226e-06,
|
292 |
+
"loss": 0.455,
|
293 |
+
"step": 208
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.1432225063938619,
|
297 |
+
"grad_norm": 10.502503395080566,
|
298 |
+
"learning_rate": 4.579339723109691e-06,
|
299 |
+
"loss": 0.308,
|
300 |
+
"step": 224
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.1534526854219949,
|
304 |
+
"grad_norm": 10.550800323486328,
|
305 |
+
"learning_rate": 4.920127795527157e-06,
|
306 |
+
"loss": 0.2808,
|
307 |
+
"step": 240
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.1636828644501279,
|
311 |
+
"grad_norm": 0.047671813517808914,
|
312 |
+
"learning_rate": 5.260915867944623e-06,
|
313 |
+
"loss": 0.319,
|
314 |
+
"step": 256
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.17391304347826086,
|
318 |
+
"grad_norm": 4.752868175506592,
|
319 |
+
"learning_rate": 5.6017039403620875e-06,
|
320 |
+
"loss": 0.3241,
|
321 |
+
"step": 272
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.18414322250639387,
|
325 |
+
"grad_norm": 3.744504690170288,
|
326 |
+
"learning_rate": 5.942492012779553e-06,
|
327 |
+
"loss": 0.2181,
|
328 |
+
"step": 288
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 0.19437340153452684,
|
332 |
+
"grad_norm": 0.10304329544305801,
|
333 |
+
"learning_rate": 6.283280085197019e-06,
|
334 |
+
"loss": 0.3247,
|
335 |
+
"step": 304
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.20076726342711,
|
339 |
+
"eval_Qnli-dev_cosine_accuracy": 0.68359375,
|
340 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.728395938873291,
|
341 |
+
"eval_Qnli-dev_cosine_ap": 0.7208629559865216,
|
342 |
+
"eval_Qnli-dev_cosine_f1": 0.6887661141804787,
|
343 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.671984076499939,
|
344 |
+
"eval_Qnli-dev_cosine_precision": 0.6091205211726385,
|
345 |
+
"eval_Qnli-dev_cosine_recall": 0.7923728813559322,
|
346 |
+
"eval_Qnli-dev_dot_accuracy": 0.681640625,
|
347 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 713.8800048828125,
|
348 |
+
"eval_Qnli-dev_dot_ap": 0.6851873907589782,
|
349 |
+
"eval_Qnli-dev_dot_f1": 0.6788685524126457,
|
350 |
+
"eval_Qnli-dev_dot_f1_threshold": 571.084228515625,
|
351 |
+
"eval_Qnli-dev_dot_precision": 0.5589041095890411,
|
352 |
+
"eval_Qnli-dev_dot_recall": 0.864406779661017,
|
353 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.689453125,
|
354 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 23.01095962524414,
|
355 |
+
"eval_Qnli-dev_euclidean_ap": 0.7234217762808675,
|
356 |
+
"eval_Qnli-dev_euclidean_f1": 0.6831858407079647,
|
357 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 25.087703704833984,
|
358 |
+
"eval_Qnli-dev_euclidean_precision": 0.5866261398176292,
|
359 |
+
"eval_Qnli-dev_euclidean_recall": 0.8177966101694916,
|
360 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.6875,
|
361 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 715.2478637695312,
|
362 |
+
"eval_Qnli-dev_manhattan_ap": 0.7243486016703601,
|
363 |
+
"eval_Qnli-dev_manhattan_f1": 0.6844919786096257,
|
364 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 780.095947265625,
|
365 |
+
"eval_Qnli-dev_manhattan_precision": 0.5907692307692308,
|
366 |
+
"eval_Qnli-dev_manhattan_recall": 0.8135593220338984,
|
367 |
+
"eval_Qnli-dev_max_accuracy": 0.689453125,
|
368 |
+
"eval_Qnli-dev_max_accuracy_threshold": 715.2478637695312,
|
369 |
+
"eval_Qnli-dev_max_ap": 0.7243486016703601,
|
370 |
+
"eval_Qnli-dev_max_f1": 0.6887661141804787,
|
371 |
+
"eval_Qnli-dev_max_f1_threshold": 780.095947265625,
|
372 |
+
"eval_Qnli-dev_max_precision": 0.6091205211726385,
|
373 |
+
"eval_Qnli-dev_max_recall": 0.864406779661017,
|
374 |
+
"eval_allNLI-dev_cosine_accuracy": 0.720703125,
|
375 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8353008031845093,
|
376 |
+
"eval_allNLI-dev_cosine_ap": 0.5917629293541244,
|
377 |
+
"eval_allNLI-dev_cosine_f1": 0.6000000000000001,
|
378 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.7087839245796204,
|
379 |
+
"eval_allNLI-dev_cosine_precision": 0.5019455252918288,
|
380 |
+
"eval_allNLI-dev_cosine_recall": 0.7456647398843931,
|
381 |
+
"eval_allNLI-dev_dot_accuracy": 0.71484375,
|
382 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 817.4105224609375,
|
383 |
+
"eval_allNLI-dev_dot_ap": 0.5858245181656638,
|
384 |
+
"eval_allNLI-dev_dot_f1": 0.5980392156862746,
|
385 |
+
"eval_allNLI-dev_dot_f1_threshold": 674.387939453125,
|
386 |
+
"eval_allNLI-dev_dot_precision": 0.5191489361702127,
|
387 |
+
"eval_allNLI-dev_dot_recall": 0.7052023121387283,
|
388 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.716796875,
|
389 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 17.109304428100586,
|
390 |
+
"eval_allNLI-dev_euclidean_ap": 0.5912447191211185,
|
391 |
+
"eval_allNLI-dev_euclidean_f1": 0.6013986013986015,
|
392 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 23.201446533203125,
|
393 |
+
"eval_allNLI-dev_euclidean_precision": 0.50390625,
|
394 |
+
"eval_allNLI-dev_euclidean_recall": 0.7456647398843931,
|
395 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.71875,
|
396 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 552.2703857421875,
|
397 |
+
"eval_allNLI-dev_manhattan_ap": 0.5910112781514775,
|
398 |
+
"eval_allNLI-dev_manhattan_f1": 0.5981735159817351,
|
399 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 731.6765747070312,
|
400 |
+
"eval_allNLI-dev_manhattan_precision": 0.49433962264150944,
|
401 |
+
"eval_allNLI-dev_manhattan_recall": 0.7572254335260116,
|
402 |
+
"eval_allNLI-dev_max_accuracy": 0.720703125,
|
403 |
+
"eval_allNLI-dev_max_accuracy_threshold": 817.4105224609375,
|
404 |
+
"eval_allNLI-dev_max_ap": 0.5917629293541244,
|
405 |
+
"eval_allNLI-dev_max_f1": 0.6013986013986015,
|
406 |
+
"eval_allNLI-dev_max_f1_threshold": 731.6765747070312,
|
407 |
+
"eval_allNLI-dev_max_precision": 0.5191489361702127,
|
408 |
+
"eval_allNLI-dev_max_recall": 0.7572254335260116,
|
409 |
+
"eval_sequential_score": 0.7243486016703601,
|
410 |
+
"eval_sts-test_pearson_cosine": 0.91107907465776,
|
411 |
+
"eval_sts-test_pearson_dot": 0.8802333333831622,
|
412 |
+
"eval_sts-test_pearson_euclidean": 0.92175721802385,
|
413 |
+
"eval_sts-test_pearson_manhattan": 0.9207411620779591,
|
414 |
+
"eval_sts-test_pearson_max": 0.92175721802385,
|
415 |
+
"eval_sts-test_spearman_cosine": 0.9170956996722621,
|
416 |
+
"eval_sts-test_spearman_dot": 0.8733774316475602,
|
417 |
+
"eval_sts-test_spearman_euclidean": 0.9165704988685727,
|
418 |
+
"eval_sts-test_spearman_manhattan": 0.9153493264477239,
|
419 |
+
"eval_sts-test_spearman_max": 0.9170956996722621,
|
420 |
+
"eval_vitaminc-pairs_loss": 3.3627231121063232,
|
421 |
+
"eval_vitaminc-pairs_runtime": 4.4746,
|
422 |
+
"eval_vitaminc-pairs_samples_per_second": 28.606,
|
423 |
+
"eval_vitaminc-pairs_steps_per_second": 0.223,
|
424 |
+
"step": 314
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.20076726342711,
|
428 |
+
"eval_negation-triplets_loss": 0.7009554505348206,
|
429 |
+
"eval_negation-triplets_runtime": 3.3424,
|
430 |
+
"eval_negation-triplets_samples_per_second": 38.296,
|
431 |
+
"eval_negation-triplets_steps_per_second": 0.299,
|
432 |
+
"step": 314
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.20076726342711,
|
436 |
+
"eval_scitail-pairs-pos_loss": 0.027083460241556168,
|
437 |
+
"eval_scitail-pairs-pos_runtime": 2.6253,
|
438 |
+
"eval_scitail-pairs-pos_samples_per_second": 48.757,
|
439 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.381,
|
440 |
+
"step": 314
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.20076726342711,
|
444 |
+
"eval_scitail-pairs-qa_loss": 0.0013978304341435432,
|
445 |
+
"eval_scitail-pairs-qa_runtime": 2.0929,
|
446 |
+
"eval_scitail-pairs-qa_samples_per_second": 61.159,
|
447 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.478,
|
448 |
+
"step": 314
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.20076726342711,
|
452 |
+
"eval_xsum-pairs_loss": 0.03819597512483597,
|
453 |
+
"eval_xsum-pairs_runtime": 3.0764,
|
454 |
+
"eval_xsum-pairs_samples_per_second": 41.607,
|
455 |
+
"eval_xsum-pairs_steps_per_second": 0.325,
|
456 |
+
"step": 314
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.20076726342711,
|
460 |
+
"eval_sciq_pairs_loss": 0.04831065982580185,
|
461 |
+
"eval_sciq_pairs_runtime": 4.6239,
|
462 |
+
"eval_sciq_pairs_samples_per_second": 27.682,
|
463 |
+
"eval_sciq_pairs_steps_per_second": 0.216,
|
464 |
+
"step": 314
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.20076726342711,
|
468 |
+
"eval_qasc_pairs_loss": 0.11294831335544586,
|
469 |
+
"eval_qasc_pairs_runtime": 2.1013,
|
470 |
+
"eval_qasc_pairs_samples_per_second": 60.915,
|
471 |
+
"eval_qasc_pairs_steps_per_second": 0.476,
|
472 |
+
"step": 314
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.20076726342711,
|
476 |
+
"eval_openbookqa_pairs_loss": 0.4045051634311676,
|
477 |
+
"eval_openbookqa_pairs_runtime": 2.2313,
|
478 |
+
"eval_openbookqa_pairs_samples_per_second": 57.367,
|
479 |
+
"eval_openbookqa_pairs_steps_per_second": 0.448,
|
480 |
+
"step": 314
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.20076726342711,
|
484 |
+
"eval_msmarco_pairs_loss": 0.17428961396217346,
|
485 |
+
"eval_msmarco_pairs_runtime": 2.2379,
|
486 |
+
"eval_msmarco_pairs_samples_per_second": 57.197,
|
487 |
+
"eval_msmarco_pairs_steps_per_second": 0.447,
|
488 |
+
"step": 314
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.20076726342711,
|
492 |
+
"eval_nq_pairs_loss": 0.18139179050922394,
|
493 |
+
"eval_nq_pairs_runtime": 3.1825,
|
494 |
+
"eval_nq_pairs_samples_per_second": 40.22,
|
495 |
+
"eval_nq_pairs_steps_per_second": 0.314,
|
496 |
+
"step": 314
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.20076726342711,
|
500 |
+
"eval_trivia_pairs_loss": 0.10668718814849854,
|
501 |
+
"eval_trivia_pairs_runtime": 3.2891,
|
502 |
+
"eval_trivia_pairs_samples_per_second": 38.917,
|
503 |
+
"eval_trivia_pairs_steps_per_second": 0.304,
|
504 |
+
"step": 314
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.20076726342711,
|
508 |
+
"eval_gooaq_pairs_loss": 0.2038198560476303,
|
509 |
+
"eval_gooaq_pairs_runtime": 2.209,
|
510 |
+
"eval_gooaq_pairs_samples_per_second": 57.945,
|
511 |
+
"eval_gooaq_pairs_steps_per_second": 0.453,
|
512 |
+
"step": 314
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.20076726342711,
|
516 |
+
"eval_paws-pos_loss": 0.02337946929037571,
|
517 |
+
"eval_paws-pos_runtime": 2.289,
|
518 |
+
"eval_paws-pos_samples_per_second": 55.92,
|
519 |
+
"eval_paws-pos_steps_per_second": 0.437,
|
520 |
+
"step": 314
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.20076726342711,
|
524 |
+
"eval_global_dataset_loss": 0.23699811100959778,
|
525 |
+
"eval_global_dataset_runtime": 8.6273,
|
526 |
+
"eval_global_dataset_samples_per_second": 37.671,
|
527 |
+
"eval_global_dataset_steps_per_second": 0.348,
|
528 |
+
"step": 314
|
529 |
+
}
|
530 |
+
],
|
531 |
+
"logging_steps": 16,
|
532 |
+
"max_steps": 3128,
|
533 |
+
"num_input_tokens_seen": 0,
|
534 |
+
"num_train_epochs": 2,
|
535 |
+
"save_steps": 157,
|
536 |
+
"stateful_callbacks": {
|
537 |
+
"TrainerControl": {
|
538 |
+
"args": {
|
539 |
+
"should_epoch_stop": false,
|
540 |
+
"should_evaluate": false,
|
541 |
+
"should_log": false,
|
542 |
+
"should_save": true,
|
543 |
+
"should_training_stop": false
|
544 |
+
},
|
545 |
+
"attributes": {}
|
546 |
+
}
|
547 |
+
},
|
548 |
+
"total_flos": 0.0,
|
549 |
+
"train_batch_size": 64,
|
550 |
+
"trial_name": null,
|
551 |
+
"trial_params": null
|
552 |
+
}
|
checkpoint-314/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae5d47b05b44fe0990966324c4a681d83a347e47ed07c3ca3b6e4479e0e161a9
|
3 |
+
size 5560
|