Training in progress, step 52, checkpoint
Browse files- checkpoint-52/1_Pooling/config.json +10 -0
- checkpoint-52/README.md +0 -0
- checkpoint-52/added_tokens.json +3 -0
- checkpoint-52/config.json +38 -0
- checkpoint-52/config_sentence_transformers.json +10 -0
- checkpoint-52/modules.json +14 -0
- checkpoint-52/optimizer.pt +3 -0
- checkpoint-52/pytorch_model.bin +3 -0
- checkpoint-52/rng_state.pth +3 -0
- checkpoint-52/scheduler.pt +3 -0
- checkpoint-52/sentence_bert_config.json +4 -0
- checkpoint-52/special_tokens_map.json +15 -0
- checkpoint-52/spm.model +3 -0
- checkpoint-52/tokenizer.json +0 -0
- checkpoint-52/tokenizer_config.json +58 -0
- checkpoint-52/trainer_state.json +538 -0
- checkpoint-52/training_args.bin +3 -0
checkpoint-52/1_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-52/README.md
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-52/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
checkpoint-52/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-52/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-52/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-52/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c363c07abd76b77fbe236416f0f142d89bc122f8d27865c273235969e657d88e
|
3 |
+
size 7077084396
|
checkpoint-52/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:afcea3c1f3ebdb313b82a2090ba8e0062ce33c8346955e34302dcfc12db757c0
|
3 |
+
size 3538506546
|
checkpoint-52/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e209007808fb68642d4b82bdab92d15f48b378177d353d6f7f630b6656c03169
|
3 |
+
size 14244
|
checkpoint-52/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7557bb1eae1c57eb9dd01792352c6bcb3fa0407693baa63fce87fed70eee1672
|
3 |
+
size 1064
|
checkpoint-52/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-52/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-52/spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
|
3 |
+
size 2447305
|
checkpoint-52/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-52/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-52/trainer_state.json
ADDED
@@ -0,0 +1,538 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.10025706940874037,
|
5 |
+
"eval_steps": 26,
|
6 |
+
"global_step": 52,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.005784061696658098,
|
13 |
+
"grad_norm": NaN,
|
14 |
+
"learning_rate": 0.0,
|
15 |
+
"loss": 7.8503,
|
16 |
+
"step": 3
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.011568123393316195,
|
20 |
+
"grad_norm": 127.71849060058594,
|
21 |
+
"learning_rate": 5.791505791505792e-08,
|
22 |
+
"loss": 8.4022,
|
23 |
+
"step": 6
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.017352185089974295,
|
27 |
+
"grad_norm": 244.984619140625,
|
28 |
+
"learning_rate": 1.7374517374517373e-07,
|
29 |
+
"loss": 11.1776,
|
30 |
+
"step": 9
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.02313624678663239,
|
34 |
+
"grad_norm": 425.6427917480469,
|
35 |
+
"learning_rate": 3.4749034749034746e-07,
|
36 |
+
"loss": 9.7845,
|
37 |
+
"step": 12
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02892030848329049,
|
41 |
+
"grad_norm": 238.8634490966797,
|
42 |
+
"learning_rate": 5.212355212355212e-07,
|
43 |
+
"loss": 8.9224,
|
44 |
+
"step": 15
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03470437017994859,
|
48 |
+
"grad_norm": 173.4210968017578,
|
49 |
+
"learning_rate": 6.949806949806949e-07,
|
50 |
+
"loss": 11.1202,
|
51 |
+
"step": 18
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.04048843187660668,
|
55 |
+
"grad_norm": 77.89308166503906,
|
56 |
+
"learning_rate": 8.687258687258688e-07,
|
57 |
+
"loss": 7.413,
|
58 |
+
"step": 21
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.04627249357326478,
|
62 |
+
"grad_norm": Infinity,
|
63 |
+
"learning_rate": 9.845559845559844e-07,
|
64 |
+
"loss": 7.7803,
|
65 |
+
"step": 24
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.05012853470437018,
|
69 |
+
"eval_Qnli-dev_cosine_accuracy": 0.609375,
|
70 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.9602330923080444,
|
71 |
+
"eval_Qnli-dev_cosine_ap": 0.587737015984062,
|
72 |
+
"eval_Qnli-dev_cosine_f1": 0.6358695652173914,
|
73 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.7741116285324097,
|
74 |
+
"eval_Qnli-dev_cosine_precision": 0.468,
|
75 |
+
"eval_Qnli-dev_cosine_recall": 0.9915254237288136,
|
76 |
+
"eval_Qnli-dev_dot_accuracy": 0.56640625,
|
77 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 750.123779296875,
|
78 |
+
"eval_Qnli-dev_dot_ap": 0.5198069471819926,
|
79 |
+
"eval_Qnli-dev_dot_f1": 0.6318607764390897,
|
80 |
+
"eval_Qnli-dev_dot_f1_threshold": 387.37371826171875,
|
81 |
+
"eval_Qnli-dev_dot_precision": 0.461839530332681,
|
82 |
+
"eval_Qnli-dev_dot_recall": 1.0,
|
83 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.6171875,
|
84 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 7.253280162811279,
|
85 |
+
"eval_Qnli-dev_euclidean_ap": 0.5993562103857255,
|
86 |
+
"eval_Qnli-dev_euclidean_f1": 0.6376021798365122,
|
87 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 17.42431640625,
|
88 |
+
"eval_Qnli-dev_euclidean_precision": 0.46987951807228917,
|
89 |
+
"eval_Qnli-dev_euclidean_recall": 0.9915254237288136,
|
90 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.625,
|
91 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 212.0604705810547,
|
92 |
+
"eval_Qnli-dev_manhattan_ap": 0.609409682371795,
|
93 |
+
"eval_Qnli-dev_manhattan_f1": 0.6358695652173914,
|
94 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 461.66192626953125,
|
95 |
+
"eval_Qnli-dev_manhattan_precision": 0.468,
|
96 |
+
"eval_Qnli-dev_manhattan_recall": 0.9915254237288136,
|
97 |
+
"eval_Qnli-dev_max_accuracy": 0.625,
|
98 |
+
"eval_Qnli-dev_max_accuracy_threshold": 750.123779296875,
|
99 |
+
"eval_Qnli-dev_max_ap": 0.609409682371795,
|
100 |
+
"eval_Qnli-dev_max_f1": 0.6376021798365122,
|
101 |
+
"eval_Qnli-dev_max_f1_threshold": 461.66192626953125,
|
102 |
+
"eval_Qnli-dev_max_precision": 0.46987951807228917,
|
103 |
+
"eval_Qnli-dev_max_recall": 1.0,
|
104 |
+
"eval_allNLI-dev_cosine_accuracy": 0.666015625,
|
105 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9931652545928955,
|
106 |
+
"eval_allNLI-dev_cosine_ap": 0.3330277035108763,
|
107 |
+
"eval_allNLI-dev_cosine_f1": 0.5088235294117648,
|
108 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.40660202503204346,
|
109 |
+
"eval_allNLI-dev_cosine_precision": 0.34122287968441817,
|
110 |
+
"eval_allNLI-dev_cosine_recall": 1.0,
|
111 |
+
"eval_allNLI-dev_dot_accuracy": 0.662109375,
|
112 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 810.7718505859375,
|
113 |
+
"eval_allNLI-dev_dot_ap": 0.2980492563498839,
|
114 |
+
"eval_allNLI-dev_dot_f1": 0.5088235294117648,
|
115 |
+
"eval_allNLI-dev_dot_f1_threshold": 294.67071533203125,
|
116 |
+
"eval_allNLI-dev_dot_precision": 0.34122287968441817,
|
117 |
+
"eval_allNLI-dev_dot_recall": 1.0,
|
118 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.666015625,
|
119 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 3.3851852416992188,
|
120 |
+
"eval_allNLI-dev_euclidean_ap": 0.33790858355605125,
|
121 |
+
"eval_allNLI-dev_euclidean_f1": 0.5095729013254787,
|
122 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 28.78042984008789,
|
123 |
+
"eval_allNLI-dev_euclidean_precision": 0.34189723320158105,
|
124 |
+
"eval_allNLI-dev_euclidean_recall": 1.0,
|
125 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.666015625,
|
126 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 98.2369613647461,
|
127 |
+
"eval_allNLI-dev_manhattan_ap": 0.3452833632811151,
|
128 |
+
"eval_allNLI-dev_manhattan_f1": 0.5091463414634146,
|
129 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 626.5145874023438,
|
130 |
+
"eval_allNLI-dev_manhattan_precision": 0.34575569358178054,
|
131 |
+
"eval_allNLI-dev_manhattan_recall": 0.9653179190751445,
|
132 |
+
"eval_allNLI-dev_max_accuracy": 0.666015625,
|
133 |
+
"eval_allNLI-dev_max_accuracy_threshold": 810.7718505859375,
|
134 |
+
"eval_allNLI-dev_max_ap": 0.3452833632811151,
|
135 |
+
"eval_allNLI-dev_max_f1": 0.5095729013254787,
|
136 |
+
"eval_allNLI-dev_max_f1_threshold": 626.5145874023438,
|
137 |
+
"eval_allNLI-dev_max_precision": 0.34575569358178054,
|
138 |
+
"eval_allNLI-dev_max_recall": 1.0,
|
139 |
+
"eval_sequential_score": 0.609409682371795,
|
140 |
+
"eval_sts-test_pearson_cosine": 0.24255956652335486,
|
141 |
+
"eval_sts-test_pearson_dot": 0.18022025813169615,
|
142 |
+
"eval_sts-test_pearson_euclidean": 0.28657386934462287,
|
143 |
+
"eval_sts-test_pearson_manhattan": 0.32587411772454034,
|
144 |
+
"eval_sts-test_pearson_max": 0.32587411772454034,
|
145 |
+
"eval_sts-test_spearman_cosine": 0.32225123770630715,
|
146 |
+
"eval_sts-test_spearman_dot": 0.17184726031108927,
|
147 |
+
"eval_sts-test_spearman_euclidean": 0.3279675400801376,
|
148 |
+
"eval_sts-test_spearman_manhattan": 0.3635547276663291,
|
149 |
+
"eval_sts-test_spearman_max": 0.3635547276663291,
|
150 |
+
"eval_vitaminc-pairs_loss": 4.122440338134766,
|
151 |
+
"eval_vitaminc-pairs_runtime": 4.7337,
|
152 |
+
"eval_vitaminc-pairs_samples_per_second": 27.04,
|
153 |
+
"eval_vitaminc-pairs_steps_per_second": 0.211,
|
154 |
+
"step": 26
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.05012853470437018,
|
158 |
+
"eval_negation-triplets_loss": 3.917590379714966,
|
159 |
+
"eval_negation-triplets_runtime": 3.3679,
|
160 |
+
"eval_negation-triplets_samples_per_second": 38.006,
|
161 |
+
"eval_negation-triplets_steps_per_second": 0.297,
|
162 |
+
"step": 26
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.05012853470437018,
|
166 |
+
"eval_scitail-pairs-pos_loss": 2.5062460899353027,
|
167 |
+
"eval_scitail-pairs-pos_runtime": 2.7274,
|
168 |
+
"eval_scitail-pairs-pos_samples_per_second": 46.931,
|
169 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.367,
|
170 |
+
"step": 26
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05012853470437018,
|
174 |
+
"eval_scitail-pairs-qa_loss": 2.978612184524536,
|
175 |
+
"eval_scitail-pairs-qa_runtime": 2.2452,
|
176 |
+
"eval_scitail-pairs-qa_samples_per_second": 57.011,
|
177 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.445,
|
178 |
+
"step": 26
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.05012853470437018,
|
182 |
+
"eval_xsum-pairs_loss": 5.394700050354004,
|
183 |
+
"eval_xsum-pairs_runtime": 3.0886,
|
184 |
+
"eval_xsum-pairs_samples_per_second": 41.442,
|
185 |
+
"eval_xsum-pairs_steps_per_second": 0.324,
|
186 |
+
"step": 26
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.05012853470437018,
|
190 |
+
"eval_sciq_pairs_loss": 0.8977569937705994,
|
191 |
+
"eval_sciq_pairs_runtime": 4.7516,
|
192 |
+
"eval_sciq_pairs_samples_per_second": 26.938,
|
193 |
+
"eval_sciq_pairs_steps_per_second": 0.21,
|
194 |
+
"step": 26
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.05012853470437018,
|
198 |
+
"eval_qasc_pairs_loss": 6.6808977127075195,
|
199 |
+
"eval_qasc_pairs_runtime": 2.1087,
|
200 |
+
"eval_qasc_pairs_samples_per_second": 60.701,
|
201 |
+
"eval_qasc_pairs_steps_per_second": 0.474,
|
202 |
+
"step": 26
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 0.05012853470437018,
|
206 |
+
"eval_openbookqa_pairs_loss": 6.402599334716797,
|
207 |
+
"eval_openbookqa_pairs_runtime": 2.2222,
|
208 |
+
"eval_openbookqa_pairs_samples_per_second": 57.601,
|
209 |
+
"eval_openbookqa_pairs_steps_per_second": 0.45,
|
210 |
+
"step": 26
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.05012853470437018,
|
214 |
+
"eval_msmarco_pairs_loss": 15.782674789428711,
|
215 |
+
"eval_msmarco_pairs_runtime": 2.307,
|
216 |
+
"eval_msmarco_pairs_samples_per_second": 55.483,
|
217 |
+
"eval_msmarco_pairs_steps_per_second": 0.433,
|
218 |
+
"step": 26
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.05012853470437018,
|
222 |
+
"eval_nq_pairs_loss": 10.447425842285156,
|
223 |
+
"eval_nq_pairs_runtime": 3.6239,
|
224 |
+
"eval_nq_pairs_samples_per_second": 35.321,
|
225 |
+
"eval_nq_pairs_steps_per_second": 0.276,
|
226 |
+
"step": 26
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.05012853470437018,
|
230 |
+
"eval_trivia_pairs_loss": 6.107333183288574,
|
231 |
+
"eval_trivia_pairs_runtime": 3.1299,
|
232 |
+
"eval_trivia_pairs_samples_per_second": 40.895,
|
233 |
+
"eval_trivia_pairs_steps_per_second": 0.319,
|
234 |
+
"step": 26
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.05012853470437018,
|
238 |
+
"eval_gooaq_pairs_loss": 8.095273971557617,
|
239 |
+
"eval_gooaq_pairs_runtime": 2.1098,
|
240 |
+
"eval_gooaq_pairs_samples_per_second": 60.669,
|
241 |
+
"eval_gooaq_pairs_steps_per_second": 0.474,
|
242 |
+
"step": 26
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.05012853470437018,
|
246 |
+
"eval_paws-pos_loss": 1.6077361106872559,
|
247 |
+
"eval_paws-pos_runtime": 2.2412,
|
248 |
+
"eval_paws-pos_samples_per_second": 57.112,
|
249 |
+
"eval_paws-pos_steps_per_second": 0.446,
|
250 |
+
"step": 26
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.05012853470437018,
|
254 |
+
"eval_global_dataset_loss": 6.348417282104492,
|
255 |
+
"eval_global_dataset_runtime": 8.3683,
|
256 |
+
"eval_global_dataset_samples_per_second": 38.837,
|
257 |
+
"eval_global_dataset_steps_per_second": 0.358,
|
258 |
+
"step": 26
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.05205655526992288,
|
262 |
+
"grad_norm": 172.1571807861328,
|
263 |
+
"learning_rate": 1.1583011583011583e-06,
|
264 |
+
"loss": 7.9729,
|
265 |
+
"step": 27
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.05784061696658098,
|
269 |
+
"grad_norm": 106.302001953125,
|
270 |
+
"learning_rate": 1.3320463320463321e-06,
|
271 |
+
"loss": 6.0587,
|
272 |
+
"step": 30
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.06362467866323908,
|
276 |
+
"grad_norm": 72.31057739257812,
|
277 |
+
"learning_rate": 1.5057915057915057e-06,
|
278 |
+
"loss": 5.6742,
|
279 |
+
"step": 33
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.06940874035989718,
|
283 |
+
"grad_norm": 258.2577209472656,
|
284 |
+
"learning_rate": 1.6795366795366796e-06,
|
285 |
+
"loss": 6.5406,
|
286 |
+
"step": 36
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 0.07519280205655526,
|
290 |
+
"grad_norm": 156.0019073486328,
|
291 |
+
"learning_rate": 1.7953667953667953e-06,
|
292 |
+
"loss": 5.4429,
|
293 |
+
"step": 39
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.08097686375321336,
|
297 |
+
"grad_norm": 227.6062469482422,
|
298 |
+
"learning_rate": 1.969111969111969e-06,
|
299 |
+
"loss": 6.7855,
|
300 |
+
"step": 42
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.08676092544987146,
|
304 |
+
"grad_norm": 221.12347412109375,
|
305 |
+
"learning_rate": 2.1428571428571427e-06,
|
306 |
+
"loss": 5.3403,
|
307 |
+
"step": 45
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.09254498714652956,
|
311 |
+
"grad_norm": 363.6319274902344,
|
312 |
+
"learning_rate": 2.3166023166023166e-06,
|
313 |
+
"loss": 4.2282,
|
314 |
+
"step": 48
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.09832904884318766,
|
318 |
+
"grad_norm": 119.22310638427734,
|
319 |
+
"learning_rate": 2.4903474903474904e-06,
|
320 |
+
"loss": 4.7411,
|
321 |
+
"step": 51
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.10025706940874037,
|
325 |
+
"eval_Qnli-dev_cosine_accuracy": 0.58984375,
|
326 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.9407284259796143,
|
327 |
+
"eval_Qnli-dev_cosine_ap": 0.5957496162735323,
|
328 |
+
"eval_Qnli-dev_cosine_f1": 0.6314363143631436,
|
329 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.7475543022155762,
|
330 |
+
"eval_Qnli-dev_cosine_precision": 0.4641434262948207,
|
331 |
+
"eval_Qnli-dev_cosine_recall": 0.9872881355932204,
|
332 |
+
"eval_Qnli-dev_dot_accuracy": 0.591796875,
|
333 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 787.171630859375,
|
334 |
+
"eval_Qnli-dev_dot_ap": 0.556540262374452,
|
335 |
+
"eval_Qnli-dev_dot_f1": 0.6328767123287672,
|
336 |
+
"eval_Qnli-dev_dot_f1_threshold": 576.0565795898438,
|
337 |
+
"eval_Qnli-dev_dot_precision": 0.4676113360323887,
|
338 |
+
"eval_Qnli-dev_dot_recall": 0.9788135593220338,
|
339 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.587890625,
|
340 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 9.92269515991211,
|
341 |
+
"eval_Qnli-dev_euclidean_ap": 0.5913529071853763,
|
342 |
+
"eval_Qnli-dev_euclidean_f1": 0.6322930800542741,
|
343 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 19.546676635742188,
|
344 |
+
"eval_Qnli-dev_euclidean_precision": 0.46506986027944114,
|
345 |
+
"eval_Qnli-dev_euclidean_recall": 0.9872881355932204,
|
346 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.591796875,
|
347 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 314.9248352050781,
|
348 |
+
"eval_Qnli-dev_manhattan_ap": 0.5944730102616272,
|
349 |
+
"eval_Qnli-dev_manhattan_f1": 0.632952691680261,
|
350 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 424.9676818847656,
|
351 |
+
"eval_Qnli-dev_manhattan_precision": 0.5145888594164456,
|
352 |
+
"eval_Qnli-dev_manhattan_recall": 0.8220338983050848,
|
353 |
+
"eval_Qnli-dev_max_accuracy": 0.591796875,
|
354 |
+
"eval_Qnli-dev_max_accuracy_threshold": 787.171630859375,
|
355 |
+
"eval_Qnli-dev_max_ap": 0.5957496162735323,
|
356 |
+
"eval_Qnli-dev_max_f1": 0.632952691680261,
|
357 |
+
"eval_Qnli-dev_max_f1_threshold": 576.0565795898438,
|
358 |
+
"eval_Qnli-dev_max_precision": 0.5145888594164456,
|
359 |
+
"eval_Qnli-dev_max_recall": 0.9872881355932204,
|
360 |
+
"eval_allNLI-dev_cosine_accuracy": 0.666015625,
|
361 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.9878466129302979,
|
362 |
+
"eval_allNLI-dev_cosine_ap": 0.3898337405414008,
|
363 |
+
"eval_allNLI-dev_cosine_f1": 0.5065885797950219,
|
364 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.6534674167633057,
|
365 |
+
"eval_allNLI-dev_cosine_precision": 0.3392156862745098,
|
366 |
+
"eval_allNLI-dev_cosine_recall": 1.0,
|
367 |
+
"eval_allNLI-dev_dot_accuracy": 0.666015625,
|
368 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 925.5989990234375,
|
369 |
+
"eval_allNLI-dev_dot_ap": 0.3391870470132937,
|
370 |
+
"eval_allNLI-dev_dot_f1": 0.5046153846153847,
|
371 |
+
"eval_allNLI-dev_dot_f1_threshold": 608.7012939453125,
|
372 |
+
"eval_allNLI-dev_dot_precision": 0.3438155136268344,
|
373 |
+
"eval_allNLI-dev_dot_recall": 0.9479768786127167,
|
374 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.666015625,
|
375 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 4.708977699279785,
|
376 |
+
"eval_allNLI-dev_euclidean_ap": 0.39556533875401867,
|
377 |
+
"eval_allNLI-dev_euclidean_f1": 0.5080763582966226,
|
378 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 23.160057067871094,
|
379 |
+
"eval_allNLI-dev_euclidean_precision": 0.3405511811023622,
|
380 |
+
"eval_allNLI-dev_euclidean_recall": 1.0,
|
381 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.666015625,
|
382 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 142.7260284423828,
|
383 |
+
"eval_allNLI-dev_manhattan_ap": 0.4050661514301679,
|
384 |
+
"eval_allNLI-dev_manhattan_f1": 0.5118483412322274,
|
385 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 504.7154846191406,
|
386 |
+
"eval_allNLI-dev_manhattan_precision": 0.3521739130434783,
|
387 |
+
"eval_allNLI-dev_manhattan_recall": 0.9364161849710982,
|
388 |
+
"eval_allNLI-dev_max_accuracy": 0.666015625,
|
389 |
+
"eval_allNLI-dev_max_accuracy_threshold": 925.5989990234375,
|
390 |
+
"eval_allNLI-dev_max_ap": 0.4050661514301679,
|
391 |
+
"eval_allNLI-dev_max_f1": 0.5118483412322274,
|
392 |
+
"eval_allNLI-dev_max_f1_threshold": 608.7012939453125,
|
393 |
+
"eval_allNLI-dev_max_precision": 0.3521739130434783,
|
394 |
+
"eval_allNLI-dev_max_recall": 1.0,
|
395 |
+
"eval_sequential_score": 0.5957496162735323,
|
396 |
+
"eval_sts-test_pearson_cosine": 0.5067228548513025,
|
397 |
+
"eval_sts-test_pearson_dot": 0.28867418819353924,
|
398 |
+
"eval_sts-test_pearson_euclidean": 0.5315956249457565,
|
399 |
+
"eval_sts-test_pearson_manhattan": 0.5620907203006935,
|
400 |
+
"eval_sts-test_pearson_max": 0.5620907203006935,
|
401 |
+
"eval_sts-test_spearman_cosine": 0.5257409961657202,
|
402 |
+
"eval_sts-test_spearman_dot": 0.280153994622986,
|
403 |
+
"eval_sts-test_spearman_euclidean": 0.5306475244646732,
|
404 |
+
"eval_sts-test_spearman_manhattan": 0.5605804796765843,
|
405 |
+
"eval_sts-test_spearman_max": 0.5605804796765843,
|
406 |
+
"eval_vitaminc-pairs_loss": 3.929797887802124,
|
407 |
+
"eval_vitaminc-pairs_runtime": 4.6018,
|
408 |
+
"eval_vitaminc-pairs_samples_per_second": 27.815,
|
409 |
+
"eval_vitaminc-pairs_steps_per_second": 0.217,
|
410 |
+
"step": 52
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.10025706940874037,
|
414 |
+
"eval_negation-triplets_loss": 3.267047166824341,
|
415 |
+
"eval_negation-triplets_runtime": 3.2813,
|
416 |
+
"eval_negation-triplets_samples_per_second": 39.009,
|
417 |
+
"eval_negation-triplets_steps_per_second": 0.305,
|
418 |
+
"step": 52
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.10025706940874037,
|
422 |
+
"eval_scitail-pairs-pos_loss": 1.134178876876831,
|
423 |
+
"eval_scitail-pairs-pos_runtime": 2.6261,
|
424 |
+
"eval_scitail-pairs-pos_samples_per_second": 48.742,
|
425 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.381,
|
426 |
+
"step": 52
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.10025706940874037,
|
430 |
+
"eval_scitail-pairs-qa_loss": 2.0085601806640625,
|
431 |
+
"eval_scitail-pairs-qa_runtime": 2.2161,
|
432 |
+
"eval_scitail-pairs-qa_samples_per_second": 57.759,
|
433 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.451,
|
434 |
+
"step": 52
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.10025706940874037,
|
438 |
+
"eval_xsum-pairs_loss": 4.462350845336914,
|
439 |
+
"eval_xsum-pairs_runtime": 3.1126,
|
440 |
+
"eval_xsum-pairs_samples_per_second": 41.124,
|
441 |
+
"eval_xsum-pairs_steps_per_second": 0.321,
|
442 |
+
"step": 52
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 0.10025706940874037,
|
446 |
+
"eval_sciq_pairs_loss": 0.71834796667099,
|
447 |
+
"eval_sciq_pairs_runtime": 4.7505,
|
448 |
+
"eval_sciq_pairs_samples_per_second": 26.944,
|
449 |
+
"eval_sciq_pairs_steps_per_second": 0.211,
|
450 |
+
"step": 52
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.10025706940874037,
|
454 |
+
"eval_qasc_pairs_loss": 4.889453887939453,
|
455 |
+
"eval_qasc_pairs_runtime": 2.1101,
|
456 |
+
"eval_qasc_pairs_samples_per_second": 60.662,
|
457 |
+
"eval_qasc_pairs_steps_per_second": 0.474,
|
458 |
+
"step": 52
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.10025706940874037,
|
462 |
+
"eval_openbookqa_pairs_loss": 3.4273369312286377,
|
463 |
+
"eval_openbookqa_pairs_runtime": 2.2311,
|
464 |
+
"eval_openbookqa_pairs_samples_per_second": 57.371,
|
465 |
+
"eval_openbookqa_pairs_steps_per_second": 0.448,
|
466 |
+
"step": 52
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.10025706940874037,
|
470 |
+
"eval_msmarco_pairs_loss": 7.532540321350098,
|
471 |
+
"eval_msmarco_pairs_runtime": 2.2959,
|
472 |
+
"eval_msmarco_pairs_samples_per_second": 55.751,
|
473 |
+
"eval_msmarco_pairs_steps_per_second": 0.436,
|
474 |
+
"step": 52
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.10025706940874037,
|
478 |
+
"eval_nq_pairs_loss": 6.29541015625,
|
479 |
+
"eval_nq_pairs_runtime": 3.661,
|
480 |
+
"eval_nq_pairs_samples_per_second": 34.963,
|
481 |
+
"eval_nq_pairs_steps_per_second": 0.273,
|
482 |
+
"step": 52
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.10025706940874037,
|
486 |
+
"eval_trivia_pairs_loss": 5.789977073669434,
|
487 |
+
"eval_trivia_pairs_runtime": 3.0826,
|
488 |
+
"eval_trivia_pairs_samples_per_second": 41.523,
|
489 |
+
"eval_trivia_pairs_steps_per_second": 0.324,
|
490 |
+
"step": 52
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 0.10025706940874037,
|
494 |
+
"eval_gooaq_pairs_loss": 5.785163879394531,
|
495 |
+
"eval_gooaq_pairs_runtime": 2.1382,
|
496 |
+
"eval_gooaq_pairs_samples_per_second": 59.863,
|
497 |
+
"eval_gooaq_pairs_steps_per_second": 0.468,
|
498 |
+
"step": 52
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.10025706940874037,
|
502 |
+
"eval_paws-pos_loss": 0.47830095887184143,
|
503 |
+
"eval_paws-pos_runtime": 2.3113,
|
504 |
+
"eval_paws-pos_samples_per_second": 55.379,
|
505 |
+
"eval_paws-pos_steps_per_second": 0.433,
|
506 |
+
"step": 52
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.10025706940874037,
|
510 |
+
"eval_global_dataset_loss": 3.8913991451263428,
|
511 |
+
"eval_global_dataset_runtime": 8.3623,
|
512 |
+
"eval_global_dataset_samples_per_second": 38.865,
|
513 |
+
"eval_global_dataset_steps_per_second": 0.359,
|
514 |
+
"step": 52
|
515 |
+
}
|
516 |
+
],
|
517 |
+
"logging_steps": 3,
|
518 |
+
"max_steps": 1036,
|
519 |
+
"num_input_tokens_seen": 0,
|
520 |
+
"num_train_epochs": 2,
|
521 |
+
"save_steps": 52,
|
522 |
+
"stateful_callbacks": {
|
523 |
+
"TrainerControl": {
|
524 |
+
"args": {
|
525 |
+
"should_epoch_stop": false,
|
526 |
+
"should_evaluate": false,
|
527 |
+
"should_log": false,
|
528 |
+
"should_save": true,
|
529 |
+
"should_training_stop": false
|
530 |
+
},
|
531 |
+
"attributes": {}
|
532 |
+
}
|
533 |
+
},
|
534 |
+
"total_flos": 0.0,
|
535 |
+
"train_batch_size": 64,
|
536 |
+
"trial_name": null,
|
537 |
+
"trial_params": null
|
538 |
+
}
|
checkpoint-52/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73b62473318b3b28c705f94b87acfb0646732bae15a12e95a938b998dc89c2e7
|
3 |
+
size 5560
|