Ihor commited on
Commit
6d4a852
·
verified ·
1 Parent(s): 2e15456

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<<ENT>>": 128001,
3
+ "<<SEP>>": 128002,
4
+ "[MASK]": 128000
5
+ }
gliner_config.json ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "class_token_index": 128001,
3
+ "decoder_mode": null,
4
+ "dropout": 0.3,
5
+ "embed_ent_token": true,
6
+ "encoder_config": {
7
+ "_name_or_path": "microsoft/deberta-v3-small",
8
+ "add_cross_attention": false,
9
+ "architectures": null,
10
+ "attention_probs_dropout_prob": 0.1,
11
+ "bad_words_ids": null,
12
+ "begin_suppress_tokens": null,
13
+ "bos_token_id": null,
14
+ "chunk_size_feed_forward": 0,
15
+ "cross_attention_hidden_size": null,
16
+ "decoder_start_token_id": null,
17
+ "diversity_penalty": 0.0,
18
+ "do_sample": false,
19
+ "early_stopping": false,
20
+ "encoder_no_repeat_ngram_size": 0,
21
+ "eos_token_id": null,
22
+ "exponential_decay_length_penalty": null,
23
+ "finetuning_task": null,
24
+ "forced_bos_token_id": null,
25
+ "forced_eos_token_id": null,
26
+ "hidden_act": "gelu",
27
+ "hidden_dropout_prob": 0.1,
28
+ "hidden_size": 768,
29
+ "id2label": {
30
+ "0": "LABEL_0",
31
+ "1": "LABEL_1"
32
+ },
33
+ "initializer_range": 0.02,
34
+ "intermediate_size": 3072,
35
+ "is_decoder": false,
36
+ "is_encoder_decoder": false,
37
+ "label2id": {
38
+ "LABEL_0": 0,
39
+ "LABEL_1": 1
40
+ },
41
+ "layer_norm_eps": 1e-07,
42
+ "legacy": true,
43
+ "length_penalty": 1.0,
44
+ "max_length": 20,
45
+ "max_position_embeddings": 512,
46
+ "max_relative_positions": -1,
47
+ "min_length": 0,
48
+ "model_type": "deberta-v2",
49
+ "no_repeat_ngram_size": 0,
50
+ "norm_rel_ebd": "layer_norm",
51
+ "num_attention_heads": 12,
52
+ "num_beam_groups": 1,
53
+ "num_beams": 1,
54
+ "num_hidden_layers": 6,
55
+ "num_return_sequences": 1,
56
+ "output_attentions": false,
57
+ "output_hidden_states": false,
58
+ "output_scores": false,
59
+ "pad_token_id": 0,
60
+ "pooler_dropout": 0,
61
+ "pooler_hidden_act": "gelu",
62
+ "pooler_hidden_size": 768,
63
+ "pos_att_type": [
64
+ "p2c",
65
+ "c2p"
66
+ ],
67
+ "position_biased_input": false,
68
+ "position_buckets": 256,
69
+ "prefix": null,
70
+ "problem_type": null,
71
+ "pruned_heads": {},
72
+ "relative_attention": true,
73
+ "remove_invalid_values": false,
74
+ "repetition_penalty": 1.0,
75
+ "return_dict": true,
76
+ "return_dict_in_generate": false,
77
+ "sep_token_id": null,
78
+ "share_att_key": true,
79
+ "suppress_tokens": null,
80
+ "task_specific_params": null,
81
+ "temperature": 1.0,
82
+ "tf_legacy_loss": false,
83
+ "tie_encoder_decoder": false,
84
+ "tie_word_embeddings": true,
85
+ "tokenizer_class": null,
86
+ "top_k": 50,
87
+ "top_p": 1.0,
88
+ "torch_dtype": null,
89
+ "torchscript": false,
90
+ "type_vocab_size": 0,
91
+ "typical_p": 1.0,
92
+ "use_bfloat16": false,
93
+ "vocab_size": 128003
94
+ },
95
+ "ent_token": "<<ENT>>",
96
+ "eval_every": 5000,
97
+ "fine_tune": true,
98
+ "freeze_token_rep": false,
99
+ "full_decoder_context": true,
100
+ "fuse_layers": false,
101
+ "has_rnn": true,
102
+ "hidden_size": 768,
103
+ "label_smoothing": 0,
104
+ "labels_decoder": null,
105
+ "labels_decoder_config": null,
106
+ "labels_encoder": null,
107
+ "labels_encoder_config": null,
108
+ "log_dir": "models/",
109
+ "loss_alpha": 0.75,
110
+ "loss_gamma": 0,
111
+ "loss_prob_margin": 0,
112
+ "loss_reduction": "sum",
113
+ "lr_encoder": "1e-5",
114
+ "lr_others": "3e-5",
115
+ "masking": "none",
116
+ "max_grad_norm": 10.0,
117
+ "max_len": 1024,
118
+ "max_neg_type_ratio": 1,
119
+ "max_types": 100,
120
+ "max_width": 12,
121
+ "model_name": "microsoft/deberta-v3-small",
122
+ "model_type": "gliner",
123
+ "name": "span level gliner",
124
+ "negatives": 1.0,
125
+ "num_post_fusion_layers": 1,
126
+ "num_steps": 30000,
127
+ "post_fusion_schema": null,
128
+ "prev_path": null,
129
+ "random_drop": true,
130
+ "root_dir": "gliner_logs",
131
+ "save_total_limit": 3,
132
+ "scheduler_type": "cosine",
133
+ "sep_token": "<<SEP>>",
134
+ "shuffle_types": true,
135
+ "size_sup": -1,
136
+ "span_mode": "markerV0",
137
+ "subtoken_pooling": "first",
138
+ "train_batch_size": 8,
139
+ "train_data": "data/full_pii.json",
140
+ "transformers_version": "4.55.2",
141
+ "val_data_dir": "none",
142
+ "vocab_size": 128003,
143
+ "warmup_ratio": 0.05,
144
+ "weight_decay_encoder": 0.1,
145
+ "weight_decay_other": 0.01,
146
+ "words_splitter_type": "whitespace"
147
+ }
onnx/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c83ec6b08df36e51405bf2b1cddc8e99812467a21ddc0bb2071ca1278b432a4
3
+ size 664764803
onnx/model_quint8.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c299382f0ea4e6cae921bcc1291f6534e713ac6c2ffaa28c8392af6bc4075035
3
+ size 196776793
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73cc276d248d04b5c886bcee9500fdacb6391627afda27c7a9d1b4a6313e2823
3
+ size 664140735
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
+ }
spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": true,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "[PAD]",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "[CLS]",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "[SEP]",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "[UNK]",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "128000": {
37
+ "content": "[MASK]",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "128001": {
45
+ "content": "<<ENT>>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "128002": {
53
+ "content": "<<SEP>>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ }
60
+ },
61
+ "bos_token": "[CLS]",
62
+ "clean_up_tokenization_spaces": false,
63
+ "cls_token": "[CLS]",
64
+ "do_lower_case": false,
65
+ "eos_token": "[SEP]",
66
+ "extra_special_tokens": {},
67
+ "mask_token": "[MASK]",
68
+ "model_max_length": 1000000000000000019884624838656,
69
+ "pad_token": "[PAD]",
70
+ "sep_token": "[SEP]",
71
+ "sp_model_kwargs": {},
72
+ "split_by_punct": false,
73
+ "tokenizer_class": "DebertaV2Tokenizer",
74
+ "unk_token": "[UNK]",
75
+ "vocab_type": "spm"
76
+ }
trainer_state.json ADDED
@@ -0,0 +1,2834 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.48887802493277926,
6
+ "eval_steps": 500,
7
+ "global_step": 4000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0012221950623319481,
14
+ "grad_norm": 90.9700698852539,
15
+ "learning_rate": 1.08e-07,
16
+ "loss": 16.262,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.0024443901246638962,
21
+ "grad_norm": 762.8887329101562,
22
+ "learning_rate": 2.28e-07,
23
+ "loss": 20.0565,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.0036665851869958446,
28
+ "grad_norm": 608.017578125,
29
+ "learning_rate": 3.4800000000000005e-07,
30
+ "loss": 94.0841,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0048887802493277925,
35
+ "grad_norm": 503.06024169921875,
36
+ "learning_rate": 4.68e-07,
37
+ "loss": 15.0008,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.006110975311659741,
42
+ "grad_norm": 821.5264892578125,
43
+ "learning_rate": 5.88e-07,
44
+ "loss": 9.7651,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.007333170373991689,
49
+ "grad_norm": 1955.912109375,
50
+ "learning_rate": 7.079999999999999e-07,
51
+ "loss": 6.0766,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.008555365436323637,
56
+ "grad_norm": 157.81646728515625,
57
+ "learning_rate": 8.280000000000001e-07,
58
+ "loss": 23.6307,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.009777560498655585,
63
+ "grad_norm": 0.12078674137592316,
64
+ "learning_rate": 9.480000000000001e-07,
65
+ "loss": 111.9975,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.010999755560987534,
70
+ "grad_norm": 2735.5048828125,
71
+ "learning_rate": 1.068e-06,
72
+ "loss": 29.5011,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.012221950623319482,
77
+ "grad_norm": 230.466064453125,
78
+ "learning_rate": 1.188e-06,
79
+ "loss": 236.7548,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.01344414568565143,
84
+ "grad_norm": 3106.59912109375,
85
+ "learning_rate": 1.308e-06,
86
+ "loss": 24.2005,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.014666340747983378,
91
+ "grad_norm": 204.4304656982422,
92
+ "learning_rate": 1.428e-06,
93
+ "loss": 11.6426,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.015888535810315327,
98
+ "grad_norm": 797.5517578125,
99
+ "learning_rate": 1.548e-06,
100
+ "loss": 144.4113,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.017110730872647275,
105
+ "grad_norm": 273.29608154296875,
106
+ "learning_rate": 1.6680000000000002e-06,
107
+ "loss": 28.5568,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.018332925934979222,
112
+ "grad_norm": 200.07835388183594,
113
+ "learning_rate": 1.7879999999999999e-06,
114
+ "loss": 19.2685,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.01955512099731117,
119
+ "grad_norm": 1587.394775390625,
120
+ "learning_rate": 1.908e-06,
121
+ "loss": 45.8147,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.020777316059643117,
126
+ "grad_norm": 102.96520233154297,
127
+ "learning_rate": 2.0280000000000003e-06,
128
+ "loss": 21.47,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.02199951112197507,
133
+ "grad_norm": 257.41363525390625,
134
+ "learning_rate": 2.148e-06,
135
+ "loss": 11.8618,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.023221706184307016,
140
+ "grad_norm": 330.1163635253906,
141
+ "learning_rate": 2.268e-06,
142
+ "loss": 25.1771,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.024443901246638963,
147
+ "grad_norm": 15520.7236328125,
148
+ "learning_rate": 2.3880000000000003e-06,
149
+ "loss": 69.7524,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.02566609630897091,
154
+ "grad_norm": 87.6805648803711,
155
+ "learning_rate": 2.508e-06,
156
+ "loss": 12.0906,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.02688829137130286,
161
+ "grad_norm": 130.9803466796875,
162
+ "learning_rate": 2.628e-06,
163
+ "loss": 7.531,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.02811048643363481,
168
+ "grad_norm": 74.93425750732422,
169
+ "learning_rate": 2.748e-06,
170
+ "loss": 21.7454,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.029332681495966757,
175
+ "grad_norm": 264.9356689453125,
176
+ "learning_rate": 2.868e-06,
177
+ "loss": 9.72,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.030554876558298704,
182
+ "grad_norm": 35.00632095336914,
183
+ "learning_rate": 2.988e-06,
184
+ "loss": 18.5867,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.031777071620630655,
189
+ "grad_norm": 225.8776092529297,
190
+ "learning_rate": 2.999973425963568e-06,
191
+ "loss": 5.6932,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.0329992666829626,
196
+ "grad_norm": 329.3735046386719,
197
+ "learning_rate": 2.9998815663057244e-06,
198
+ "loss": 12.0228,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.03422146174529455,
203
+ "grad_norm": 118.65201568603516,
204
+ "learning_rate": 2.999724096969228e-06,
205
+ "loss": 8.0306,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.0354436568076265,
210
+ "grad_norm": 0.0,
211
+ "learning_rate": 2.9995010248422986e-06,
212
+ "loss": 6.2862,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.036665851869958445,
217
+ "grad_norm": 312.2432861328125,
218
+ "learning_rate": 2.999212359682832e-06,
219
+ "loss": 17.139,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.03788804693229039,
224
+ "grad_norm": 271.3357849121094,
225
+ "learning_rate": 2.9988581141179787e-06,
226
+ "loss": 34.0387,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.03911024199462234,
231
+ "grad_norm": 2272.15478515625,
232
+ "learning_rate": 2.998438303643587e-06,
233
+ "loss": 45.5794,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.04033243705695429,
238
+ "grad_norm": 169.28997802734375,
239
+ "learning_rate": 2.9979529466235273e-06,
240
+ "loss": 9.1614,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.041554632119286235,
245
+ "grad_norm": 65.43268585205078,
246
+ "learning_rate": 2.9974020642888875e-06,
247
+ "loss": 7.0017,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.04277682718161819,
252
+ "grad_norm": 480.8052062988281,
253
+ "learning_rate": 2.9967856807370457e-06,
254
+ "loss": 16.8721,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.04399902224395014,
259
+ "grad_norm": 1458.733154296875,
260
+ "learning_rate": 2.9961038229306153e-06,
261
+ "loss": 16.5622,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.045221217306282084,
266
+ "grad_norm": 370.8188781738281,
267
+ "learning_rate": 2.9953565206962653e-06,
268
+ "loss": 56.9658,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.04644341236861403,
273
+ "grad_norm": 646.4425048828125,
274
+ "learning_rate": 2.994543806723417e-06,
275
+ "loss": 15.7309,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.04766560743094598,
280
+ "grad_norm": 86.25946807861328,
281
+ "learning_rate": 2.9936657165628123e-06,
282
+ "loss": 13.2365,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.048887802493277926,
287
+ "grad_norm": 434.976806640625,
288
+ "learning_rate": 2.9927222886249592e-06,
289
+ "loss": 15.7842,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.050109997555609874,
294
+ "grad_norm": 68.55436706542969,
295
+ "learning_rate": 2.9917135641784514e-06,
296
+ "loss": 5.9857,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.05133219261794182,
301
+ "grad_norm": 231.7288360595703,
302
+ "learning_rate": 2.990639587348165e-06,
303
+ "loss": 43.342,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.05255438768027377,
308
+ "grad_norm": 154.23851013183594,
309
+ "learning_rate": 2.9895004051133262e-06,
310
+ "loss": 23.3779,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.05377658274260572,
315
+ "grad_norm": 26.472179412841797,
316
+ "learning_rate": 2.9882960673054546e-06,
317
+ "loss": 5.0376,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.05499877780493767,
322
+ "grad_norm": 162.8897705078125,
323
+ "learning_rate": 2.9870266266061886e-06,
324
+ "loss": 8.5337,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.05622097286726962,
329
+ "grad_norm": 123.54499053955078,
330
+ "learning_rate": 2.985692138544977e-06,
331
+ "loss": 13.2521,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.057443167929601566,
336
+ "grad_norm": 382.31756591796875,
337
+ "learning_rate": 2.98429266149665e-06,
338
+ "loss": 13.8578,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.05866536299193351,
343
+ "grad_norm": 138.7642364501953,
344
+ "learning_rate": 2.982828256678868e-06,
345
+ "loss": 7.1095,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.05988755805426546,
350
+ "grad_norm": 23.875701904296875,
351
+ "learning_rate": 2.981298988149441e-06,
352
+ "loss": 8.5065,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.06110975311659741,
357
+ "grad_norm": 100.55829620361328,
358
+ "learning_rate": 2.9797049228035296e-06,
359
+ "loss": 5.183,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.062331948178929356,
364
+ "grad_norm": 714.7372436523438,
365
+ "learning_rate": 2.9780461303707154e-06,
366
+ "loss": 9.7871,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.06355414324126131,
371
+ "grad_norm": 448.3724365234375,
372
+ "learning_rate": 2.9763226834119536e-06,
373
+ "loss": 11.9303,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.06477633830359325,
378
+ "grad_norm": 783.1386108398438,
379
+ "learning_rate": 2.9745346573163963e-06,
380
+ "loss": 16.8025,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.0659985333659252,
385
+ "grad_norm": 169.54864501953125,
386
+ "learning_rate": 2.972682130298099e-06,
387
+ "loss": 9.2492,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.06722072842825715,
392
+ "grad_norm": 93.51005554199219,
393
+ "learning_rate": 2.9707651833925934e-06,
394
+ "loss": 18.101,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.0684429234905891,
399
+ "grad_norm": 80.450927734375,
400
+ "learning_rate": 2.968783900453348e-06,
401
+ "loss": 6.2497,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.06966511855292104,
406
+ "grad_norm": 301.1532287597656,
407
+ "learning_rate": 2.9667383681480967e-06,
408
+ "loss": 6.5331,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.070887313615253,
413
+ "grad_norm": 863.28564453125,
414
+ "learning_rate": 2.964628675955049e-06,
415
+ "loss": 14.2275,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.07210950867758495,
420
+ "grad_norm": 44.881202697753906,
421
+ "learning_rate": 2.9624549161589766e-06,
422
+ "loss": 11.2268,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.07333170373991689,
427
+ "grad_norm": 119.41246032714844,
428
+ "learning_rate": 2.960217183847174e-06,
429
+ "loss": 4.4983,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.07455389880224884,
434
+ "grad_norm": 318.1400146484375,
435
+ "learning_rate": 2.957915576905303e-06,
436
+ "loss": 6.2801,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.07577609386458078,
441
+ "grad_norm": 209.94772338867188,
442
+ "learning_rate": 2.9555501960131056e-06,
443
+ "loss": 11.1155,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.07699828892691274,
448
+ "grad_norm": 28.928428649902344,
449
+ "learning_rate": 2.953121144640007e-06,
450
+ "loss": 6.8151,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.07822048398924468,
455
+ "grad_norm": 114.8211669921875,
456
+ "learning_rate": 2.9506285290405816e-06,
457
+ "loss": 13.3945,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.07944267905157663,
462
+ "grad_norm": 21.79237937927246,
463
+ "learning_rate": 2.9480724582499107e-06,
464
+ "loss": 4.0164,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.08066487411390857,
469
+ "grad_norm": 137.599609375,
470
+ "learning_rate": 2.9454530440788125e-06,
471
+ "loss": 19.8366,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.08188706917624053,
476
+ "grad_norm": 266.04364013671875,
477
+ "learning_rate": 2.9427704011089476e-06,
478
+ "loss": 9.4361,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.08310926423857247,
483
+ "grad_norm": 61.178077697753906,
484
+ "learning_rate": 2.94002464668781e-06,
485
+ "loss": 7.1568,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.08433145930090442,
490
+ "grad_norm": 602.675048828125,
491
+ "learning_rate": 2.9372159009235934e-06,
492
+ "loss": 28.4419,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.08555365436323638,
497
+ "grad_norm": 421.313232421875,
498
+ "learning_rate": 2.9343442866799366e-06,
499
+ "loss": 16.4913,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.08677584942556832,
504
+ "grad_norm": 107.19933319091797,
505
+ "learning_rate": 2.9314099295705495e-06,
506
+ "loss": 5.1941,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.08799804448790027,
511
+ "grad_norm": 59.055416107177734,
512
+ "learning_rate": 2.928412957953718e-06,
513
+ "loss": 4.7925,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.08922023955023221,
518
+ "grad_norm": 197.48204040527344,
519
+ "learning_rate": 2.925353502926689e-06,
520
+ "loss": 10.5784,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.09044243461256417,
525
+ "grad_norm": 19.739686965942383,
526
+ "learning_rate": 2.9222316983199368e-06,
527
+ "loss": 12.7388,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.09166462967489611,
532
+ "grad_norm": 156.27577209472656,
533
+ "learning_rate": 2.919047680691309e-06,
534
+ "loss": 7.2855,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.09288682473722806,
539
+ "grad_norm": 1526.63671875,
540
+ "learning_rate": 2.9158015893200504e-06,
541
+ "loss": 15.6089,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.09410901979956,
546
+ "grad_norm": 264.08489990234375,
547
+ "learning_rate": 2.9124935662007136e-06,
548
+ "loss": 5.8844,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.09533121486189196,
553
+ "grad_norm": 77.7269515991211,
554
+ "learning_rate": 2.9091237560369467e-06,
555
+ "loss": 15.2453,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.09655340992422391,
560
+ "grad_norm": 61.80817794799805,
561
+ "learning_rate": 2.905692306235163e-06,
562
+ "loss": 4.6586,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.09777560498655585,
567
+ "grad_norm": 75.9502944946289,
568
+ "learning_rate": 2.9021993668980925e-06,
569
+ "loss": 5.1786,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.09899780004888781,
574
+ "grad_norm": 12662.541015625,
575
+ "learning_rate": 2.8986450908182185e-06,
576
+ "loss": 73.8135,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.10021999511121975,
581
+ "grad_norm": 78.35696411132812,
582
+ "learning_rate": 2.89502963347109e-06,
583
+ "loss": 7.1453,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.1014421901735517,
588
+ "grad_norm": 27.90381622314453,
589
+ "learning_rate": 2.8913531530085247e-06,
590
+ "loss": 4.0842,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.10266438523588364,
595
+ "grad_norm": 71.39665222167969,
596
+ "learning_rate": 2.887615810251687e-06,
597
+ "loss": 3.0579,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.1038865802982156,
602
+ "grad_norm": 74.22740936279297,
603
+ "learning_rate": 2.8838177686840578e-06,
604
+ "loss": 7.5604,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.10510877536054754,
609
+ "grad_norm": 60.92683792114258,
610
+ "learning_rate": 2.8799591944442776e-06,
611
+ "loss": 10.3615,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.10633097042287949,
616
+ "grad_norm": 61.996219635009766,
617
+ "learning_rate": 2.8760402563188846e-06,
618
+ "loss": 4.0435,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.10755316548521145,
623
+ "grad_norm": 689.1261596679688,
624
+ "learning_rate": 2.8720611257349285e-06,
625
+ "loss": 16.4521,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.10877536054754339,
630
+ "grad_norm": 416.5583190917969,
631
+ "learning_rate": 2.868021976752471e-06,
632
+ "loss": 9.8324,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.10999755560987534,
637
+ "grad_norm": 188.04327392578125,
638
+ "learning_rate": 2.863922986056974e-06,
639
+ "loss": 44.4258,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.11121975067220728,
644
+ "grad_norm": 118.51509094238281,
645
+ "learning_rate": 2.859764332951569e-06,
646
+ "loss": 15.9614,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.11244194573453924,
651
+ "grad_norm": 164.8653106689453,
652
+ "learning_rate": 2.8555461993492143e-06,
653
+ "loss": 15.0824,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.11366414079687118,
658
+ "grad_norm": 177.5851593017578,
659
+ "learning_rate": 2.85126876976474e-06,
660
+ "loss": 6.5541,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.11488633585920313,
665
+ "grad_norm": 3.564757823944092,
666
+ "learning_rate": 2.8469322313067724e-06,
667
+ "loss": 9.7488,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.11610853092153507,
672
+ "grad_norm": 168.60052490234375,
673
+ "learning_rate": 2.842536773669552e-06,
674
+ "loss": 9.2277,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.11733072598386703,
679
+ "grad_norm": 114.97309112548828,
680
+ "learning_rate": 2.8380825891246356e-06,
681
+ "loss": 41.6823,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.11855292104619897,
686
+ "grad_norm": 389.69024658203125,
687
+ "learning_rate": 2.8335698725124844e-06,
688
+ "loss": 9.8263,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.11977511610853092,
693
+ "grad_norm": 825.04296875,
694
+ "learning_rate": 2.8289988212339422e-06,
695
+ "loss": 78.0339,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.12099731117086288,
700
+ "grad_norm": 75.79747772216797,
701
+ "learning_rate": 2.8243696352415997e-06,
702
+ "loss": 4.4854,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.12221950623319482,
707
+ "grad_norm": 125.5120849609375,
708
+ "learning_rate": 2.8196825170310496e-06,
709
+ "loss": 9.029,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.12344170129552677,
714
+ "grad_norm": 47.87066650390625,
715
+ "learning_rate": 2.814937671632026e-06,
716
+ "loss": 21.872,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.12466389635785871,
721
+ "grad_norm": 164.174560546875,
722
+ "learning_rate": 2.8101353065994375e-06,
723
+ "loss": 5.6871,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.12588609142019067,
728
+ "grad_norm": 105.33892059326172,
729
+ "learning_rate": 2.8052756320042887e-06,
730
+ "loss": 11.2416,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.12710828648252262,
735
+ "grad_norm": 103.03814697265625,
736
+ "learning_rate": 2.800358860424489e-06,
737
+ "loss": 31.158,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.12833048154485455,
742
+ "grad_norm": 109.51468658447266,
743
+ "learning_rate": 2.7953852069355566e-06,
744
+ "loss": 7.7292,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.1295526766071865,
749
+ "grad_norm": 37.08213806152344,
750
+ "learning_rate": 2.790354889101206e-06,
751
+ "loss": 8.757,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.13077487166951846,
756
+ "grad_norm": 67.8493881225586,
757
+ "learning_rate": 2.7852681269638367e-06,
758
+ "loss": 9.0736,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.1319970667318504,
763
+ "grad_norm": 142.74765014648438,
764
+ "learning_rate": 2.780125143034902e-06,
765
+ "loss": 4.6442,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.13321926179418236,
770
+ "grad_norm": 26.69765281677246,
771
+ "learning_rate": 2.7749261622851813e-06,
772
+ "loss": 21.9841,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.1344414568565143,
777
+ "grad_norm": 136.97714233398438,
778
+ "learning_rate": 2.7696714121349336e-06,
779
+ "loss": 5.2723,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.13566365191884625,
784
+ "grad_norm": 92.53136444091797,
785
+ "learning_rate": 2.764361122443954e-06,
786
+ "loss": 4.0253,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.1368858469811782,
791
+ "grad_norm": 3438.9697265625,
792
+ "learning_rate": 2.758995525501517e-06,
793
+ "loss": 28.1048,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.13810804204351015,
798
+ "grad_norm": 197.27198791503906,
799
+ "learning_rate": 2.753574856016215e-06,
800
+ "loss": 68.2689,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.13933023710584208,
805
+ "grad_norm": 217.13082885742188,
806
+ "learning_rate": 2.7480993511056914e-06,
807
+ "loss": 23.1216,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.14055243216817404,
812
+ "grad_norm": 11099.0126953125,
813
+ "learning_rate": 2.7425692502862686e-06,
814
+ "loss": 82.1362,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.141774627230506,
819
+ "grad_norm": 120.95354461669922,
820
+ "learning_rate": 2.7369847954624726e-06,
821
+ "loss": 18.9907,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.14299682229283794,
826
+ "grad_norm": 87.8304672241211,
827
+ "learning_rate": 2.731346230916448e-06,
828
+ "loss": 15.795,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.1442190173551699,
833
+ "grad_norm": 152.349365234375,
834
+ "learning_rate": 2.7256538032972745e-06,
835
+ "loss": 8.1783,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.14544121241750183,
840
+ "grad_norm": 104.65203094482422,
841
+ "learning_rate": 2.7199077616101772e-06,
842
+ "loss": 5.5425,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.14666340747983378,
847
+ "grad_norm": 190.36029052734375,
848
+ "learning_rate": 2.714108357205634e-06,
849
+ "loss": 3.8683,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.14788560254216573,
854
+ "grad_norm": 226.06166076660156,
855
+ "learning_rate": 2.7082558437683804e-06,
856
+ "loss": 2.7503,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.1491077976044977,
861
+ "grad_norm": 167.75030517578125,
862
+ "learning_rate": 2.702350477306315e-06,
863
+ "loss": 13.3138,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.15032999266682961,
868
+ "grad_norm": 406.14239501953125,
869
+ "learning_rate": 2.6963925161392964e-06,
870
+ "loss": 14.3085,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.15155218772916157,
875
+ "grad_norm": 236.96640014648438,
876
+ "learning_rate": 2.6903822208878476e-06,
877
+ "loss": 12.4851,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.15277438279149352,
882
+ "grad_norm": 322.40399169921875,
883
+ "learning_rate": 2.6843198544617533e-06,
884
+ "loss": 7.6773,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.15399657785382548,
889
+ "grad_norm": 69.26799011230469,
890
+ "learning_rate": 2.6782056820485614e-06,
891
+ "loss": 8.5517,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.15521877291615743,
896
+ "grad_norm": 104.45782470703125,
897
+ "learning_rate": 2.672039971101979e-06,
898
+ "loss": 14.1666,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.15644096797848936,
903
+ "grad_norm": 64.2107925415039,
904
+ "learning_rate": 2.665822991330178e-06,
905
+ "loss": 14.935,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.1576631630408213,
910
+ "grad_norm": 231.9179229736328,
911
+ "learning_rate": 2.6595550146839935e-06,
912
+ "loss": 44.7739,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.15888535810315327,
917
+ "grad_norm": 65.0517807006836,
918
+ "learning_rate": 2.6532363153450287e-06,
919
+ "loss": 4.3927,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.16010755316548522,
924
+ "grad_norm": 19.751876831054688,
925
+ "learning_rate": 2.6468671697136636e-06,
926
+ "loss": 48.7581,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.16132974822781715,
931
+ "grad_norm": 96.09690856933594,
932
+ "learning_rate": 2.640447856396961e-06,
933
+ "loss": 25.1866,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.1625519432901491,
938
+ "grad_norm": 157.53482055664062,
939
+ "learning_rate": 2.6339786561964805e-06,
940
+ "loss": 18.2094,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.16377413835248106,
945
+ "grad_norm": 118.58200073242188,
946
+ "learning_rate": 2.6274598520959967e-06,
947
+ "loss": 8.3717,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.164996333414813,
952
+ "grad_norm": 243.54791259765625,
953
+ "learning_rate": 2.620891729249119e-06,
954
+ "loss": 19.6919,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.16621852847714494,
959
+ "grad_norm": 64.0250015258789,
960
+ "learning_rate": 2.614274574966818e-06,
961
+ "loss": 36.9577,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.1674407235394769,
966
+ "grad_norm": 109.42585754394531,
967
+ "learning_rate": 2.6076086787048586e-06,
968
+ "loss": 5.5647,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.16866291860180885,
973
+ "grad_norm": 87.20132446289062,
974
+ "learning_rate": 2.6008943320511393e-06,
975
+ "loss": 11.3158,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.1698851136641408,
980
+ "grad_norm": 63.754798889160156,
981
+ "learning_rate": 2.594131828712932e-06,
982
+ "loss": 8.5986,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.17110730872647276,
987
+ "grad_norm": 123.90564727783203,
988
+ "learning_rate": 2.5873214645040415e-06,
989
+ "loss": 6.0897,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.17232950378880468,
994
+ "grad_norm": 3.162569761276245,
995
+ "learning_rate": 2.5804635373318606e-06,
996
+ "loss": 7.7484,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.17355169885113664,
1001
+ "grad_norm": 103.34955596923828,
1002
+ "learning_rate": 2.5735583471843402e-06,
1003
+ "loss": 18.5225,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.1747738939134686,
1008
+ "grad_norm": 37.20616912841797,
1009
+ "learning_rate": 2.566606196116867e-06,
1010
+ "loss": 6.2324,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.17599608897580055,
1015
+ "grad_norm": 256.6211853027344,
1016
+ "learning_rate": 2.559607388239051e-06,
1017
+ "loss": 8.9312,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.17721828403813247,
1022
+ "grad_norm": 99.99398040771484,
1023
+ "learning_rate": 2.552562229701422e-06,
1024
+ "loss": 8.0136,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.17844047910046443,
1029
+ "grad_norm": 46.37326431274414,
1030
+ "learning_rate": 2.5454710286820364e-06,
1031
+ "loss": 3.0912,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.17966267416279638,
1036
+ "grad_norm": 11.743111610412598,
1037
+ "learning_rate": 2.538334095373e-06,
1038
+ "loss": 22.147,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.18088486922512834,
1043
+ "grad_norm": 45.20884704589844,
1044
+ "learning_rate": 2.5311517419668963e-06,
1045
+ "loss": 21.9872,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.1821070642874603,
1050
+ "grad_norm": 636.8707885742188,
1051
+ "learning_rate": 2.52392428264313e-06,
1052
+ "loss": 19.1982,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.18332925934979222,
1057
+ "grad_norm": 83.0619888305664,
1058
+ "learning_rate": 2.5166520335541865e-06,
1059
+ "loss": 10.675,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.18455145441212417,
1064
+ "grad_norm": 152.91282653808594,
1065
+ "learning_rate": 2.5093353128117994e-06,
1066
+ "loss": 9.7595,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.18577364947445613,
1071
+ "grad_norm": 2076.383544921875,
1072
+ "learning_rate": 2.501974440473037e-06,
1073
+ "loss": 5.8146,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.18699584453678808,
1078
+ "grad_norm": 137.1463165283203,
1079
+ "learning_rate": 2.4945697385263017e-06,
1080
+ "loss": 4.3367,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.18821803959912,
1085
+ "grad_norm": 2.937004566192627,
1086
+ "learning_rate": 2.487121530877243e-06,
1087
+ "loss": 6.9168,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.18944023466145196,
1092
+ "grad_norm": 140.51698303222656,
1093
+ "learning_rate": 2.4796301433345947e-06,
1094
+ "loss": 61.6395,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.19066242972378392,
1099
+ "grad_norm": 292.2606506347656,
1100
+ "learning_rate": 2.4720959035959144e-06,
1101
+ "loss": 15.3776,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.19188462478611587,
1106
+ "grad_norm": 124.59199523925781,
1107
+ "learning_rate": 2.4645191412332574e-06,
1108
+ "loss": 5.2274,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.19310681984844782,
1113
+ "grad_norm": 3.8467769622802734,
1114
+ "learning_rate": 2.456900187678754e-06,
1115
+ "loss": 4.8445,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.19432901491077975,
1120
+ "grad_norm": 93.3642807006836,
1121
+ "learning_rate": 2.4492393762101145e-06,
1122
+ "loss": 16.6226,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.1955512099731117,
1127
+ "grad_norm": 84.23104858398438,
1128
+ "learning_rate": 2.441537041936051e-06,
1129
+ "loss": 20.2209,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.19677340503544366,
1134
+ "grad_norm": 193.3358917236328,
1135
+ "learning_rate": 2.4337935217816157e-06,
1136
+ "loss": 6.2911,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.19799560009777561,
1141
+ "grad_norm": 49.8443717956543,
1142
+ "learning_rate": 2.4260091544734665e-06,
1143
+ "loss": 8.0731,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.19921779516010754,
1148
+ "grad_norm": 299.9452819824219,
1149
+ "learning_rate": 2.4181842805250466e-06,
1150
+ "loss": 13.7966,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.2004399902224395,
1155
+ "grad_norm": 53.26736831665039,
1156
+ "learning_rate": 2.4103192422216924e-06,
1157
+ "loss": 3.3283,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.20166218528477145,
1162
+ "grad_norm": 306.1939392089844,
1163
+ "learning_rate": 2.4024143836056576e-06,
1164
+ "loss": 9.2912,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.2028843803471034,
1169
+ "grad_norm": 135.06272888183594,
1170
+ "learning_rate": 2.3944700504610672e-06,
1171
+ "loss": 11.3755,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.20410657540943536,
1176
+ "grad_norm": 73.6987533569336,
1177
+ "learning_rate": 2.386486590298788e-06,
1178
+ "loss": 33.8278,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.20532877047176729,
1183
+ "grad_norm": 293.6236267089844,
1184
+ "learning_rate": 2.378464352341231e-06,
1185
+ "loss": 14.5415,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.20655096553409924,
1190
+ "grad_norm": 293.9530334472656,
1191
+ "learning_rate": 2.370403687507073e-06,
1192
+ "loss": 9.6775,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.2077731605964312,
1197
+ "grad_norm": 26.65833854675293,
1198
+ "learning_rate": 2.362304948395906e-06,
1199
+ "loss": 11.9079,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.20899535565876315,
1204
+ "grad_norm": 100.24671173095703,
1205
+ "learning_rate": 2.3541684892728155e-06,
1206
+ "loss": 12.2264,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.21021755072109508,
1211
+ "grad_norm": 111.12837219238281,
1212
+ "learning_rate": 2.345994666052883e-06,
1213
+ "loss": 4.2579,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.21143974578342703,
1218
+ "grad_norm": 43.9635009765625,
1219
+ "learning_rate": 2.337783836285614e-06,
1220
+ "loss": 4.8131,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.21266194084575898,
1225
+ "grad_norm": 229.63705444335938,
1226
+ "learning_rate": 2.3295363591393028e-06,
1227
+ "loss": 7.6956,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.21388413590809094,
1232
+ "grad_norm": 635.888427734375,
1233
+ "learning_rate": 2.321252595385317e-06,
1234
+ "loss": 11.9479,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.2151063309704229,
1239
+ "grad_norm": 16.43315315246582,
1240
+ "learning_rate": 2.3129329073823206e-06,
1241
+ "loss": 3.6309,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.21632852603275482,
1246
+ "grad_norm": 94.37918853759766,
1247
+ "learning_rate": 2.3045776590604175e-06,
1248
+ "loss": 7.2887,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.21755072109508677,
1253
+ "grad_norm": 391.2632751464844,
1254
+ "learning_rate": 2.296187215905237e-06,
1255
+ "loss": 16.3573,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.21877291615741873,
1260
+ "grad_norm": 107.53653717041016,
1261
+ "learning_rate": 2.2877619449419438e-06,
1262
+ "loss": 8.4371,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.21999511121975068,
1267
+ "grad_norm": 122.35897827148438,
1268
+ "learning_rate": 2.279302214719184e-06,
1269
+ "loss": 5.5348,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.2212173062820826,
1274
+ "grad_norm": 282.2642517089844,
1275
+ "learning_rate": 2.2708083952929633e-06,
1276
+ "loss": 4.2402,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.22243950134441456,
1281
+ "grad_norm": 527.8413696289062,
1282
+ "learning_rate": 2.2622808582104595e-06,
1283
+ "loss": 13.1984,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.22366169640674652,
1288
+ "grad_norm": 125.41094207763672,
1289
+ "learning_rate": 2.25371997649377e-06,
1290
+ "loss": 12.569,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.22488389146907847,
1295
+ "grad_norm": 134.96493530273438,
1296
+ "learning_rate": 2.245126124623595e-06,
1297
+ "loss": 8.5939,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.2261060865314104,
1302
+ "grad_norm": 95.33308410644531,
1303
+ "learning_rate": 2.236499678522855e-06,
1304
+ "loss": 12.2979,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.22732828159374235,
1309
+ "grad_norm": 235.3226776123047,
1310
+ "learning_rate": 2.227841015540248e-06,
1311
+ "loss": 28.1907,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.2285504766560743,
1316
+ "grad_norm": 38.875728607177734,
1317
+ "learning_rate": 2.2191505144337433e-06,
1318
+ "loss": 11.7715,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.22977267171840626,
1323
+ "grad_norm": 400.4942932128906,
1324
+ "learning_rate": 2.210428555354013e-06,
1325
+ "loss": 33.7771,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.23099486678073822,
1330
+ "grad_norm": 58.10671615600586,
1331
+ "learning_rate": 2.2016755198278018e-06,
1332
+ "loss": 10.2547,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.23221706184307014,
1337
+ "grad_norm": 33.26211929321289,
1338
+ "learning_rate": 2.19289179074124e-06,
1339
+ "loss": 8.3186,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.2334392569054021,
1344
+ "grad_norm": 61.41399002075195,
1345
+ "learning_rate": 2.1840777523230937e-06,
1346
+ "loss": 8.852,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.23466145196773405,
1351
+ "grad_norm": 1512.432373046875,
1352
+ "learning_rate": 2.1752337901279552e-06,
1353
+ "loss": 12.8307,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.235883647030066,
1358
+ "grad_norm": 141.32473754882812,
1359
+ "learning_rate": 2.166360291019383e-06,
1360
+ "loss": 7.7902,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.23710584209239793,
1365
+ "grad_norm": 196.60577392578125,
1366
+ "learning_rate": 2.157457643152973e-06,
1367
+ "loss": 14.7718,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.2383280371547299,
1372
+ "grad_norm": 65.76744842529297,
1373
+ "learning_rate": 2.148526235959385e-06,
1374
+ "loss": 7.36,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.23955023221706184,
1379
+ "grad_norm": 209.25523376464844,
1380
+ "learning_rate": 2.1395664601273015e-06,
1381
+ "loss": 6.7847,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.2407724272793938,
1386
+ "grad_norm": 69.7423095703125,
1387
+ "learning_rate": 2.130578707586345e-06,
1388
+ "loss": 12.2061,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.24199462234172575,
1393
+ "grad_norm": 467.93505859375,
1394
+ "learning_rate": 2.1215633714899263e-06,
1395
+ "loss": 31.2891,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.24321681740405768,
1400
+ "grad_norm": 91.64173889160156,
1401
+ "learning_rate": 2.112520846198053e-06,
1402
+ "loss": 3.7959,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.24443901246638963,
1407
+ "grad_norm": 66.67080688476562,
1408
+ "learning_rate": 2.103451527260074e-06,
1409
+ "loss": 8.3371,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.2456612075287216,
1414
+ "grad_norm": 316.7519836425781,
1415
+ "learning_rate": 2.0943558113973814e-06,
1416
+ "loss": 19.41,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.24688340259105354,
1421
+ "grad_norm": 134.40553283691406,
1422
+ "learning_rate": 2.085234096486052e-06,
1423
+ "loss": 10.1939,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.24810559765338547,
1428
+ "grad_norm": 214.29652404785156,
1429
+ "learning_rate": 2.076086781539447e-06,
1430
+ "loss": 3.2386,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.24932779271571742,
1435
+ "grad_norm": 236.31849670410156,
1436
+ "learning_rate": 2.066914266690755e-06,
1437
+ "loss": 9.3607,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.2505499877780494,
1442
+ "grad_norm": 110.51002502441406,
1443
+ "learning_rate": 2.0577169531754906e-06,
1444
+ "loss": 16.6432,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.25177218284038133,
1449
+ "grad_norm": 137.44949340820312,
1450
+ "learning_rate": 2.048495243313942e-06,
1451
+ "loss": 74.9908,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.2529943779027133,
1456
+ "grad_norm": 141.2185821533203,
1457
+ "learning_rate": 2.039249540493572e-06,
1458
+ "loss": 14.0537,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.25421657296504524,
1463
+ "grad_norm": 110.03021240234375,
1464
+ "learning_rate": 2.0299802491513752e-06,
1465
+ "loss": 7.6805,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.2554387680273772,
1470
+ "grad_norm": 86.06402587890625,
1471
+ "learning_rate": 2.0206877747561826e-06,
1472
+ "loss": 24.2148,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.2566609630897091,
1477
+ "grad_norm": 96.23567962646484,
1478
+ "learning_rate": 2.011372523790927e-06,
1479
+ "loss": 7.3955,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.25788315815204105,
1484
+ "grad_norm": 71.61346435546875,
1485
+ "learning_rate": 2.0020349037348643e-06,
1486
+ "loss": 5.1537,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.259105353214373,
1491
+ "grad_norm": 173.6727294921875,
1492
+ "learning_rate": 1.9926753230457444e-06,
1493
+ "loss": 62.0503,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.26032754827670496,
1498
+ "grad_norm": 113.24870300292969,
1499
+ "learning_rate": 1.983294191141948e-06,
1500
+ "loss": 6.2885,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.2615497433390369,
1505
+ "grad_norm": 66.9086685180664,
1506
+ "learning_rate": 1.973891918384575e-06,
1507
+ "loss": 8.6823,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.26277193840136887,
1512
+ "grad_norm": 46.4726448059082,
1513
+ "learning_rate": 1.9644689160594946e-06,
1514
+ "loss": 5.4236,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.2639941334637008,
1519
+ "grad_norm": 268.0596008300781,
1520
+ "learning_rate": 1.9550255963593554e-06,
1521
+ "loss": 4.2195,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.2652163285260328,
1526
+ "grad_norm": 51.381221771240234,
1527
+ "learning_rate": 1.9455623723655522e-06,
1528
+ "loss": 2.7699,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.26643852358836473,
1533
+ "grad_norm": 172.75656127929688,
1534
+ "learning_rate": 1.936079658030161e-06,
1535
+ "loss": 7.9117,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.2676607186506966,
1540
+ "grad_norm": 84.9072494506836,
1541
+ "learning_rate": 1.9265778681578243e-06,
1542
+ "loss": 10.5891,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.2688829137130286,
1547
+ "grad_norm": 325.357177734375,
1548
+ "learning_rate": 1.9170574183876143e-06,
1549
+ "loss": 96.0206,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.27010510877536054,
1554
+ "grad_norm": 69.86454010009766,
1555
+ "learning_rate": 1.907518725174845e-06,
1556
+ "loss": 7.2693,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.2713273038376925,
1561
+ "grad_norm": 84.17633819580078,
1562
+ "learning_rate": 1.8979622057728596e-06,
1563
+ "loss": 9.0359,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.27254949890002445,
1568
+ "grad_norm": 56.640777587890625,
1569
+ "learning_rate": 1.8883882782147748e-06,
1570
+ "loss": 5.9572,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.2737716939623564,
1575
+ "grad_norm": 77.15308380126953,
1576
+ "learning_rate": 1.8787973612951967e-06,
1577
+ "loss": 9.763,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.27499388902468835,
1582
+ "grad_norm": 83.91511535644531,
1583
+ "learning_rate": 1.8691898745519027e-06,
1584
+ "loss": 7.1527,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.2762160840870203,
1589
+ "grad_norm": 178.21751403808594,
1590
+ "learning_rate": 1.8595662382474864e-06,
1591
+ "loss": 11.8911,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.27743827914935226,
1596
+ "grad_norm": 157.41551208496094,
1597
+ "learning_rate": 1.8499268733509766e-06,
1598
+ "loss": 5.6362,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.27866047421168416,
1603
+ "grad_norm": 34.34627914428711,
1604
+ "learning_rate": 1.8402722015194197e-06,
1605
+ "loss": 3.9066,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.2798826692740161,
1610
+ "grad_norm": 1198.7413330078125,
1611
+ "learning_rate": 1.8306026450794397e-06,
1612
+ "loss": 30.3404,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.28110486433634807,
1617
+ "grad_norm": 74.85948181152344,
1618
+ "learning_rate": 1.8209186270087597e-06,
1619
+ "loss": 11.0762,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.28232705939868,
1624
+ "grad_norm": 275.3745422363281,
1625
+ "learning_rate": 1.8112205709177024e-06,
1626
+ "loss": 15.0848,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.283549254461012,
1631
+ "grad_norm": 83.26709747314453,
1632
+ "learning_rate": 1.8015089010306584e-06,
1633
+ "loss": 34.6785,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.28477144952334393,
1638
+ "grad_norm": 136.6163787841797,
1639
+ "learning_rate": 1.7917840421675298e-06,
1640
+ "loss": 6.6839,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.2859936445856759,
1645
+ "grad_norm": 247.6110382080078,
1646
+ "learning_rate": 1.7820464197251474e-06,
1647
+ "loss": 7.1008,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.28721583964800784,
1652
+ "grad_norm": 113.97523498535156,
1653
+ "learning_rate": 1.7722964596586627e-06,
1654
+ "loss": 17.9976,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.2884380347103398,
1659
+ "grad_norm": 413.1333312988281,
1660
+ "learning_rate": 1.7625345884629143e-06,
1661
+ "loss": 7.8312,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.2896602297726717,
1666
+ "grad_norm": 42.408512115478516,
1667
+ "learning_rate": 1.7527612331537723e-06,
1668
+ "loss": 27.9813,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.29088242483500365,
1673
+ "grad_norm": 244.9381561279297,
1674
+ "learning_rate": 1.7429768212494594e-06,
1675
+ "loss": 8.8452,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.2921046198973356,
1680
+ "grad_norm": 39.41435241699219,
1681
+ "learning_rate": 1.7331817807518495e-06,
1682
+ "loss": 5.8521,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.29332681495966756,
1687
+ "grad_norm": 39.52328109741211,
1688
+ "learning_rate": 1.723376540127745e-06,
1689
+ "loss": 4.9132,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.2945490100219995,
1694
+ "grad_norm": 189.4518280029297,
1695
+ "learning_rate": 1.7135615282901357e-06,
1696
+ "loss": 11.6901,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.29577120508433147,
1701
+ "grad_norm": 145.54864501953125,
1702
+ "learning_rate": 1.7037371745794356e-06,
1703
+ "loss": 82.3716,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.2969934001466634,
1708
+ "grad_norm": 71.62850189208984,
1709
+ "learning_rate": 1.6939039087447027e-06,
1710
+ "loss": 7.5214,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.2982155952089954,
1715
+ "grad_norm": 165.1923370361328,
1716
+ "learning_rate": 1.6840621609248395e-06,
1717
+ "loss": 4.7604,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.29943779027132733,
1722
+ "grad_norm": 128.58956909179688,
1723
+ "learning_rate": 1.6742123616297792e-06,
1724
+ "loss": 11.4539,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.30065998533365923,
1729
+ "grad_norm": 97.2256088256836,
1730
+ "learning_rate": 1.6643549417216507e-06,
1731
+ "loss": 3.1787,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.3018821803959912,
1736
+ "grad_norm": 2449.002197265625,
1737
+ "learning_rate": 1.6544903323959355e-06,
1738
+ "loss": 24.4221,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.30310437545832314,
1743
+ "grad_norm": 213.59857177734375,
1744
+ "learning_rate": 1.6446189651626021e-06,
1745
+ "loss": 5.3626,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.3043265705206551,
1750
+ "grad_norm": 130.78553771972656,
1751
+ "learning_rate": 1.6347412718272317e-06,
1752
+ "loss": 3.8798,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.30554876558298705,
1757
+ "grad_norm": 33.33694076538086,
1758
+ "learning_rate": 1.624857684472131e-06,
1759
+ "loss": 14.5705,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.306770960645319,
1764
+ "grad_norm": 325.04425048828125,
1765
+ "learning_rate": 1.6149686354374282e-06,
1766
+ "loss": 5.276,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.30799315570765096,
1771
+ "grad_norm": 7321.1787109375,
1772
+ "learning_rate": 1.6050745573021648e-06,
1773
+ "loss": 30.1414,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.3092153507699829,
1778
+ "grad_norm": 52.962921142578125,
1779
+ "learning_rate": 1.5951758828653701e-06,
1780
+ "loss": 19.7982,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.31043754583231487,
1785
+ "grad_norm": 67.74440002441406,
1786
+ "learning_rate": 1.5852730451271325e-06,
1787
+ "loss": 21.4623,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.31165974089464676,
1792
+ "grad_norm": 131.78257751464844,
1793
+ "learning_rate": 1.5753664772696545e-06,
1794
+ "loss": 12.9318,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.3128819359569787,
1799
+ "grad_norm": 180.02357482910156,
1800
+ "learning_rate": 1.5654566126383071e-06,
1801
+ "loss": 4.0119,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.3141041310193107,
1806
+ "grad_norm": 140.56219482421875,
1807
+ "learning_rate": 1.555543884722673e-06,
1808
+ "loss": 7.1339,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.3153263260816426,
1813
+ "grad_norm": 119.55462646484375,
1814
+ "learning_rate": 1.5456287271375838e-06,
1815
+ "loss": 4.626,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.3165485211439746,
1820
+ "grad_norm": 212.5276336669922,
1821
+ "learning_rate": 1.5357115736041532e-06,
1822
+ "loss": 12.1457,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.31777071620630654,
1827
+ "grad_norm": 102.74150085449219,
1828
+ "learning_rate": 1.5257928579308031e-06,
1829
+ "loss": 5.5448,
1830
+ "step": 2600
1831
+ },
1832
+ {
1833
+ "epoch": 0.3189929112686385,
1834
+ "grad_norm": 161.79661560058594,
1835
+ "learning_rate": 1.5158730139942903e-06,
1836
+ "loss": 5.8716,
1837
+ "step": 2610
1838
+ },
1839
+ {
1840
+ "epoch": 0.32021510633097044,
1841
+ "grad_norm": 126.71895599365234,
1842
+ "learning_rate": 1.5059524757207238e-06,
1843
+ "loss": 12.7752,
1844
+ "step": 2620
1845
+ },
1846
+ {
1847
+ "epoch": 0.32143730139330234,
1848
+ "grad_norm": 33.35258483886719,
1849
+ "learning_rate": 1.4960316770665865e-06,
1850
+ "loss": 34.3496,
1851
+ "step": 2630
1852
+ },
1853
+ {
1854
+ "epoch": 0.3226594964556343,
1855
+ "grad_norm": 94.0019760131836,
1856
+ "learning_rate": 1.4861110519997494e-06,
1857
+ "loss": 9.2024,
1858
+ "step": 2640
1859
+ },
1860
+ {
1861
+ "epoch": 0.32388169151796625,
1862
+ "grad_norm": 117.45307159423828,
1863
+ "learning_rate": 1.4761910344804913e-06,
1864
+ "loss": 11.2619,
1865
+ "step": 2650
1866
+ },
1867
+ {
1868
+ "epoch": 0.3251038865802982,
1869
+ "grad_norm": 924.7914428710938,
1870
+ "learning_rate": 1.466272058442516e-06,
1871
+ "loss": 14.4928,
1872
+ "step": 2660
1873
+ },
1874
+ {
1875
+ "epoch": 0.32632608164263016,
1876
+ "grad_norm": 372.90264892578125,
1877
+ "learning_rate": 1.4563545577739676e-06,
1878
+ "loss": 19.4995,
1879
+ "step": 2670
1880
+ },
1881
+ {
1882
+ "epoch": 0.3275482767049621,
1883
+ "grad_norm": 157.7729034423828,
1884
+ "learning_rate": 1.4464389662984543e-06,
1885
+ "loss": 5.3699,
1886
+ "step": 2680
1887
+ },
1888
+ {
1889
+ "epoch": 0.32877047176729407,
1890
+ "grad_norm": 0.0,
1891
+ "learning_rate": 1.4365257177560685e-06,
1892
+ "loss": 8.0304,
1893
+ "step": 2690
1894
+ },
1895
+ {
1896
+ "epoch": 0.329992666829626,
1897
+ "grad_norm": 122.21346282958984,
1898
+ "learning_rate": 1.426615245784416e-06,
1899
+ "loss": 4.6565,
1900
+ "step": 2700
1901
+ },
1902
+ {
1903
+ "epoch": 0.331214861891958,
1904
+ "grad_norm": 530.7792358398438,
1905
+ "learning_rate": 1.4167079838996468e-06,
1906
+ "loss": 43.1617,
1907
+ "step": 2710
1908
+ },
1909
+ {
1910
+ "epoch": 0.3324370569542899,
1911
+ "grad_norm": 14.575272560119629,
1912
+ "learning_rate": 1.4068043654774897e-06,
1913
+ "loss": 8.3122,
1914
+ "step": 2720
1915
+ },
1916
+ {
1917
+ "epoch": 0.33365925201662183,
1918
+ "grad_norm": 39372.8984375,
1919
+ "learning_rate": 1.3969048237342992e-06,
1920
+ "loss": 69.2235,
1921
+ "step": 2730
1922
+ },
1923
+ {
1924
+ "epoch": 0.3348814470789538,
1925
+ "grad_norm": 69.7376480102539,
1926
+ "learning_rate": 1.3870097917081012e-06,
1927
+ "loss": 9.6052,
1928
+ "step": 2740
1929
+ },
1930
+ {
1931
+ "epoch": 0.33610364214128574,
1932
+ "grad_norm": 65.24273681640625,
1933
+ "learning_rate": 1.3771197022396508e-06,
1934
+ "loss": 5.7324,
1935
+ "step": 2750
1936
+ },
1937
+ {
1938
+ "epoch": 0.3373258372036177,
1939
+ "grad_norm": 150.26510620117188,
1940
+ "learning_rate": 1.3672349879535014e-06,
1941
+ "loss": 5.9959,
1942
+ "step": 2760
1943
+ },
1944
+ {
1945
+ "epoch": 0.33854803226594965,
1946
+ "grad_norm": 46.56450653076172,
1947
+ "learning_rate": 1.357356081239078e-06,
1948
+ "loss": 5.3759,
1949
+ "step": 2770
1950
+ },
1951
+ {
1952
+ "epoch": 0.3397702273282816,
1953
+ "grad_norm": 55.16844940185547,
1954
+ "learning_rate": 1.3474834142317635e-06,
1955
+ "loss": 15.0662,
1956
+ "step": 2780
1957
+ },
1958
+ {
1959
+ "epoch": 0.34099242239061356,
1960
+ "grad_norm": 164.8315887451172,
1961
+ "learning_rate": 1.3376174187939955e-06,
1962
+ "loss": 2.6526,
1963
+ "step": 2790
1964
+ },
1965
+ {
1966
+ "epoch": 0.3422146174529455,
1967
+ "grad_norm": 18.404308319091797,
1968
+ "learning_rate": 1.327758526496376e-06,
1969
+ "loss": 3.7397,
1970
+ "step": 2800
1971
+ },
1972
+ {
1973
+ "epoch": 0.3434368125152774,
1974
+ "grad_norm": 4595.86669921875,
1975
+ "learning_rate": 1.3179071685987929e-06,
1976
+ "loss": 24.0639,
1977
+ "step": 2810
1978
+ },
1979
+ {
1980
+ "epoch": 0.34465900757760937,
1981
+ "grad_norm": 130.8788604736328,
1982
+ "learning_rate": 1.308063776031554e-06,
1983
+ "loss": 10.952,
1984
+ "step": 2820
1985
+ },
1986
+ {
1987
+ "epoch": 0.3458812026399413,
1988
+ "grad_norm": 380.7953796386719,
1989
+ "learning_rate": 1.2982287793765388e-06,
1990
+ "loss": 8.6292,
1991
+ "step": 2830
1992
+ },
1993
+ {
1994
+ "epoch": 0.3471033977022733,
1995
+ "grad_norm": 150.86537170410156,
1996
+ "learning_rate": 1.2884026088483617e-06,
1997
+ "loss": 11.1415,
1998
+ "step": 2840
1999
+ },
2000
+ {
2001
+ "epoch": 0.34832559276460523,
2002
+ "grad_norm": 33.44660568237305,
2003
+ "learning_rate": 1.2785856942755541e-06,
2004
+ "loss": 37.9114,
2005
+ "step": 2850
2006
+ },
2007
+ {
2008
+ "epoch": 0.3495477878269372,
2009
+ "grad_norm": 119.02764129638672,
2010
+ "learning_rate": 1.2687784650817615e-06,
2011
+ "loss": 9.5775,
2012
+ "step": 2860
2013
+ },
2014
+ {
2015
+ "epoch": 0.35076998288926914,
2016
+ "grad_norm": 12.89920711517334,
2017
+ "learning_rate": 1.2589813502669605e-06,
2018
+ "loss": 5.0628,
2019
+ "step": 2870
2020
+ },
2021
+ {
2022
+ "epoch": 0.3519921779516011,
2023
+ "grad_norm": 118.53453826904297,
2024
+ "learning_rate": 1.2491947783886907e-06,
2025
+ "loss": 3.4198,
2026
+ "step": 2880
2027
+ },
2028
+ {
2029
+ "epoch": 0.35321437301393305,
2030
+ "grad_norm": 119.45673370361328,
2031
+ "learning_rate": 1.2394191775433106e-06,
2032
+ "loss": 5.0883,
2033
+ "step": 2890
2034
+ },
2035
+ {
2036
+ "epoch": 0.35443656807626495,
2037
+ "grad_norm": 407.6794128417969,
2038
+ "learning_rate": 1.2296549753472694e-06,
2039
+ "loss": 13.5242,
2040
+ "step": 2900
2041
+ },
2042
+ {
2043
+ "epoch": 0.3556587631385969,
2044
+ "grad_norm": 60.00165939331055,
2045
+ "learning_rate": 1.2199025989184032e-06,
2046
+ "loss": 4.8567,
2047
+ "step": 2910
2048
+ },
2049
+ {
2050
+ "epoch": 0.35688095820092886,
2051
+ "grad_norm": 61.06263732910156,
2052
+ "learning_rate": 1.2101624748572498e-06,
2053
+ "loss": 61.0845,
2054
+ "step": 2920
2055
+ },
2056
+ {
2057
+ "epoch": 0.3581031532632608,
2058
+ "grad_norm": 156.64385986328125,
2059
+ "learning_rate": 1.2004350292283896e-06,
2060
+ "loss": 7.6012,
2061
+ "step": 2930
2062
+ },
2063
+ {
2064
+ "epoch": 0.35932534832559276,
2065
+ "grad_norm": 400.6429748535156,
2066
+ "learning_rate": 1.1907206875418068e-06,
2067
+ "loss": 5.5963,
2068
+ "step": 2940
2069
+ },
2070
+ {
2071
+ "epoch": 0.3605475433879247,
2072
+ "grad_norm": 15.860380172729492,
2073
+ "learning_rate": 1.1810198747342769e-06,
2074
+ "loss": 14.2926,
2075
+ "step": 2950
2076
+ },
2077
+ {
2078
+ "epoch": 0.3617697384502567,
2079
+ "grad_norm": 50.196319580078125,
2080
+ "learning_rate": 1.1713330151507788e-06,
2081
+ "loss": 5.7277,
2082
+ "step": 2960
2083
+ },
2084
+ {
2085
+ "epoch": 0.3629919335125886,
2086
+ "grad_norm": 25.25882339477539,
2087
+ "learning_rate": 1.161660532525931e-06,
2088
+ "loss": 27.5525,
2089
+ "step": 2970
2090
+ },
2091
+ {
2092
+ "epoch": 0.3642141285749206,
2093
+ "grad_norm": 78.56704711914062,
2094
+ "learning_rate": 1.1520028499654585e-06,
2095
+ "loss": 42.1918,
2096
+ "step": 2980
2097
+ },
2098
+ {
2099
+ "epoch": 0.3654363236372525,
2100
+ "grad_norm": 46.863460540771484,
2101
+ "learning_rate": 1.1423603899276832e-06,
2102
+ "loss": 8.1872,
2103
+ "step": 2990
2104
+ },
2105
+ {
2106
+ "epoch": 0.36665851869958443,
2107
+ "grad_norm": 1346.8118896484375,
2108
+ "learning_rate": 1.1327335742050442e-06,
2109
+ "loss": 8.4477,
2110
+ "step": 3000
2111
+ },
2112
+ {
2113
+ "epoch": 0.3678807137619164,
2114
+ "grad_norm": 386.11676025390625,
2115
+ "learning_rate": 1.1231228239056468e-06,
2116
+ "loss": 9.3227,
2117
+ "step": 3010
2118
+ },
2119
+ {
2120
+ "epoch": 0.36910290882424834,
2121
+ "grad_norm": 501.2793273925781,
2122
+ "learning_rate": 1.113528559434845e-06,
2123
+ "loss": 7.1715,
2124
+ "step": 3020
2125
+ },
2126
+ {
2127
+ "epoch": 0.3703251038865803,
2128
+ "grad_norm": 351.3608703613281,
2129
+ "learning_rate": 1.1039512004768475e-06,
2130
+ "loss": 3.7794,
2131
+ "step": 3030
2132
+ },
2133
+ {
2134
+ "epoch": 0.37154729894891225,
2135
+ "grad_norm": 118.31483459472656,
2136
+ "learning_rate": 1.0943911659763612e-06,
2137
+ "loss": 10.5054,
2138
+ "step": 3040
2139
+ },
2140
+ {
2141
+ "epoch": 0.3727694940112442,
2142
+ "grad_norm": 46.43350601196289,
2143
+ "learning_rate": 1.084848874120266e-06,
2144
+ "loss": 7.7316,
2145
+ "step": 3050
2146
+ },
2147
+ {
2148
+ "epoch": 0.37399168907357616,
2149
+ "grad_norm": 706.1187744140625,
2150
+ "learning_rate": 1.0753247423193196e-06,
2151
+ "loss": 5.5957,
2152
+ "step": 3060
2153
+ },
2154
+ {
2155
+ "epoch": 0.3752138841359081,
2156
+ "grad_norm": 100.84490966796875,
2157
+ "learning_rate": 1.065819187189901e-06,
2158
+ "loss": 10.1131,
2159
+ "step": 3070
2160
+ },
2161
+ {
2162
+ "epoch": 0.37643607919824,
2163
+ "grad_norm": 149.95608520507812,
2164
+ "learning_rate": 1.056332624535785e-06,
2165
+ "loss": 42.2142,
2166
+ "step": 3080
2167
+ },
2168
+ {
2169
+ "epoch": 0.37765827426057197,
2170
+ "grad_norm": 54.06521987915039,
2171
+ "learning_rate": 1.0468654693299556e-06,
2172
+ "loss": 33.5774,
2173
+ "step": 3090
2174
+ },
2175
+ {
2176
+ "epoch": 0.3788804693229039,
2177
+ "grad_norm": 175.86033630371094,
2178
+ "learning_rate": 1.03741813569645e-06,
2179
+ "loss": 21.0334,
2180
+ "step": 3100
2181
+ },
2182
+ {
2183
+ "epoch": 0.3801026643852359,
2184
+ "grad_norm": 44.49640655517578,
2185
+ "learning_rate": 1.0279910368922463e-06,
2186
+ "loss": 6.7528,
2187
+ "step": 3110
2188
+ },
2189
+ {
2190
+ "epoch": 0.38132485944756783,
2191
+ "grad_norm": 145.08905029296875,
2192
+ "learning_rate": 1.018584585289186e-06,
2193
+ "loss": 18.0979,
2194
+ "step": 3120
2195
+ },
2196
+ {
2197
+ "epoch": 0.3825470545098998,
2198
+ "grad_norm": 54.60276412963867,
2199
+ "learning_rate": 1.009199192355935e-06,
2200
+ "loss": 5.6213,
2201
+ "step": 3130
2202
+ },
2203
+ {
2204
+ "epoch": 0.38376924957223174,
2205
+ "grad_norm": 212.94252014160156,
2206
+ "learning_rate": 9.99835268639984e-07,
2207
+ "loss": 8.9925,
2208
+ "step": 3140
2209
+ },
2210
+ {
2211
+ "epoch": 0.3849914446345637,
2212
+ "grad_norm": 157.17189025878906,
2213
+ "learning_rate": 9.904932237496912e-07,
2214
+ "loss": 14.232,
2215
+ "step": 3150
2216
+ },
2217
+ {
2218
+ "epoch": 0.38621363969689565,
2219
+ "grad_norm": 8815.5107421875,
2220
+ "learning_rate": 9.81173466336366e-07,
2221
+ "loss": 43.8014,
2222
+ "step": 3160
2223
+ },
2224
+ {
2225
+ "epoch": 0.38743583475922755,
2226
+ "grad_norm": 45.1512336730957,
2227
+ "learning_rate": 9.718764040763875e-07,
2228
+ "loss": 8.4452,
2229
+ "step": 3170
2230
+ },
2231
+ {
2232
+ "epoch": 0.3886580298215595,
2233
+ "grad_norm": 73.60990905761719,
2234
+ "learning_rate": 9.626024436533777e-07,
2235
+ "loss": 19.4069,
2236
+ "step": 3180
2237
+ },
2238
+ {
2239
+ "epoch": 0.38988022488389146,
2240
+ "grad_norm": 301.54217529296875,
2241
+ "learning_rate": 9.533519907404095e-07,
2242
+ "loss": 9.5031,
2243
+ "step": 3190
2244
+ },
2245
+ {
2246
+ "epoch": 0.3911024199462234,
2247
+ "grad_norm": 160.935546875,
2248
+ "learning_rate": 9.4412544998226e-07,
2249
+ "loss": 30.2891,
2250
+ "step": 3200
2251
+ },
2252
+ {
2253
+ "epoch": 0.39232461500855537,
2254
+ "grad_norm": 41.60928726196289,
2255
+ "learning_rate": 9.349232249777123e-07,
2256
+ "loss": 5.9196,
2257
+ "step": 3210
2258
+ },
2259
+ {
2260
+ "epoch": 0.3935468100708873,
2261
+ "grad_norm": 322.9219665527344,
2262
+ "learning_rate": 9.257457182618986e-07,
2263
+ "loss": 9.9838,
2264
+ "step": 3220
2265
+ },
2266
+ {
2267
+ "epoch": 0.3947690051332193,
2268
+ "grad_norm": 92.14532470703125,
2269
+ "learning_rate": 9.165933312886943e-07,
2270
+ "loss": 10.9772,
2271
+ "step": 3230
2272
+ },
2273
+ {
2274
+ "epoch": 0.39599120019555123,
2275
+ "grad_norm": 489.4450378417969,
2276
+ "learning_rate": 9.07466464413155e-07,
2277
+ "loss": 7.3668,
2278
+ "step": 3240
2279
+ },
2280
+ {
2281
+ "epoch": 0.3972133952578832,
2282
+ "grad_norm": 132.16189575195312,
2283
+ "learning_rate": 8.983655168740047e-07,
2284
+ "loss": 6.431,
2285
+ "step": 3250
2286
+ },
2287
+ {
2288
+ "epoch": 0.3984355903202151,
2289
+ "grad_norm": 266.6741943359375,
2290
+ "learning_rate": 8.892908867761717e-07,
2291
+ "loss": 6.5156,
2292
+ "step": 3260
2293
+ },
2294
+ {
2295
+ "epoch": 0.39965778538254704,
2296
+ "grad_norm": 320.0394287109375,
2297
+ "learning_rate": 8.802429710733744e-07,
2298
+ "loss": 10.0671,
2299
+ "step": 3270
2300
+ },
2301
+ {
2302
+ "epoch": 0.400879980444879,
2303
+ "grad_norm": 13.509453773498535,
2304
+ "learning_rate": 8.71222165550757e-07,
2305
+ "loss": 13.1154,
2306
+ "step": 3280
2307
+ },
2308
+ {
2309
+ "epoch": 0.40210217550721095,
2310
+ "grad_norm": 149.06141662597656,
2311
+ "learning_rate": 8.622288648075748e-07,
2312
+ "loss": 4.443,
2313
+ "step": 3290
2314
+ },
2315
+ {
2316
+ "epoch": 0.4033243705695429,
2317
+ "grad_norm": 658.0059814453125,
2318
+ "learning_rate": 8.532634622399391e-07,
2319
+ "loss": 7.618,
2320
+ "step": 3300
2321
+ },
2322
+ {
2323
+ "epoch": 0.40454656563187485,
2324
+ "grad_norm": 6.43558931350708,
2325
+ "learning_rate": 8.443263500236011e-07,
2326
+ "loss": 5.8076,
2327
+ "step": 3310
2328
+ },
2329
+ {
2330
+ "epoch": 0.4057687606942068,
2331
+ "grad_norm": 117.31370544433594,
2332
+ "learning_rate": 8.354179190968003e-07,
2333
+ "loss": 7.9709,
2334
+ "step": 3320
2335
+ },
2336
+ {
2337
+ "epoch": 0.40699095575653876,
2338
+ "grad_norm": 81.60182189941406,
2339
+ "learning_rate": 8.265385591431662e-07,
2340
+ "loss": 7.0317,
2341
+ "step": 3330
2342
+ },
2343
+ {
2344
+ "epoch": 0.4082131508188707,
2345
+ "grad_norm": 193.31777954101562,
2346
+ "learning_rate": 8.17688658574667e-07,
2347
+ "loss": 12.4974,
2348
+ "step": 3340
2349
+ },
2350
+ {
2351
+ "epoch": 0.4094353458812026,
2352
+ "grad_norm": 409.48785400390625,
2353
+ "learning_rate": 8.088686045146247e-07,
2354
+ "loss": 17.388,
2355
+ "step": 3350
2356
+ },
2357
+ {
2358
+ "epoch": 0.41065754094353457,
2359
+ "grad_norm": 196.63064575195312,
2360
+ "learning_rate": 8.000787827807749e-07,
2361
+ "loss": 4.6152,
2362
+ "step": 3360
2363
+ },
2364
+ {
2365
+ "epoch": 0.4118797360058665,
2366
+ "grad_norm": 51.9937858581543,
2367
+ "learning_rate": 7.913195778683979e-07,
2368
+ "loss": 5.552,
2369
+ "step": 3370
2370
+ },
2371
+ {
2372
+ "epoch": 0.4131019310681985,
2373
+ "grad_norm": 480.3527526855469,
2374
+ "learning_rate": 7.825913729334909e-07,
2375
+ "loss": 8.3302,
2376
+ "step": 3380
2377
+ },
2378
+ {
2379
+ "epoch": 0.41432412613053043,
2380
+ "grad_norm": 142.47943115234375,
2381
+ "learning_rate": 7.738945497760131e-07,
2382
+ "loss": 6.8436,
2383
+ "step": 3390
2384
+ },
2385
+ {
2386
+ "epoch": 0.4155463211928624,
2387
+ "grad_norm": 113.3036880493164,
2388
+ "learning_rate": 7.65229488823184e-07,
2389
+ "loss": 10.9437,
2390
+ "step": 3400
2391
+ },
2392
+ {
2393
+ "epoch": 0.41676851625519434,
2394
+ "grad_norm": 154.5217742919922,
2395
+ "learning_rate": 7.565965691128395e-07,
2396
+ "loss": 63.3653,
2397
+ "step": 3410
2398
+ },
2399
+ {
2400
+ "epoch": 0.4179907113175263,
2401
+ "grad_norm": 74.57637023925781,
2402
+ "learning_rate": 7.479961682768559e-07,
2403
+ "loss": 9.523,
2404
+ "step": 3420
2405
+ },
2406
+ {
2407
+ "epoch": 0.41921290637985825,
2408
+ "grad_norm": 233.7057342529297,
2409
+ "learning_rate": 7.394286625246258e-07,
2410
+ "loss": 7.0809,
2411
+ "step": 3430
2412
+ },
2413
+ {
2414
+ "epoch": 0.42043510144219015,
2415
+ "grad_norm": 305.6805725097656,
2416
+ "learning_rate": 7.308944266266064e-07,
2417
+ "loss": 6.2228,
2418
+ "step": 3440
2419
+ },
2420
+ {
2421
+ "epoch": 0.4216572965045221,
2422
+ "grad_norm": 504.0282287597656,
2423
+ "learning_rate": 7.223938338979232e-07,
2424
+ "loss": 12.4403,
2425
+ "step": 3450
2426
+ },
2427
+ {
2428
+ "epoch": 0.42287949156685406,
2429
+ "grad_norm": 19659.20703125,
2430
+ "learning_rate": 7.139272561820397e-07,
2431
+ "loss": 36.2218,
2432
+ "step": 3460
2433
+ },
2434
+ {
2435
+ "epoch": 0.424101686629186,
2436
+ "grad_norm": 341.0048828125,
2437
+ "learning_rate": 7.054950638344936e-07,
2438
+ "loss": 7.405,
2439
+ "step": 3470
2440
+ },
2441
+ {
2442
+ "epoch": 0.42532388169151797,
2443
+ "grad_norm": 207.2580108642578,
2444
+ "learning_rate": 6.97097625706694e-07,
2445
+ "loss": 6.5,
2446
+ "step": 3480
2447
+ },
2448
+ {
2449
+ "epoch": 0.4265460767538499,
2450
+ "grad_norm": 19.110559463500977,
2451
+ "learning_rate": 6.887353091297896e-07,
2452
+ "loss": 15.5928,
2453
+ "step": 3490
2454
+ },
2455
+ {
2456
+ "epoch": 0.4277682718161819,
2457
+ "grad_norm": 71.11861419677734,
2458
+ "learning_rate": 6.804084798985965e-07,
2459
+ "loss": 6.9204,
2460
+ "step": 3500
2461
+ },
2462
+ {
2463
+ "epoch": 0.42899046687851383,
2464
+ "grad_norm": 71.21343994140625,
2465
+ "learning_rate": 6.721175022556009e-07,
2466
+ "loss": 5.4203,
2467
+ "step": 3510
2468
+ },
2469
+ {
2470
+ "epoch": 0.4302126619408458,
2471
+ "grad_norm": 376.8030090332031,
2472
+ "learning_rate": 6.638627388750245e-07,
2473
+ "loss": 5.2638,
2474
+ "step": 3520
2475
+ },
2476
+ {
2477
+ "epoch": 0.4314348570031777,
2478
+ "grad_norm": 58.82181167602539,
2479
+ "learning_rate": 6.556445508469583e-07,
2480
+ "loss": 3.8491,
2481
+ "step": 3530
2482
+ },
2483
+ {
2484
+ "epoch": 0.43265705206550964,
2485
+ "grad_norm": 283.5686950683594,
2486
+ "learning_rate": 6.474632976615708e-07,
2487
+ "loss": 52.2928,
2488
+ "step": 3540
2489
+ },
2490
+ {
2491
+ "epoch": 0.4338792471278416,
2492
+ "grad_norm": 197.40713500976562,
2493
+ "learning_rate": 6.393193371933791e-07,
2494
+ "loss": 21.0607,
2495
+ "step": 3550
2496
+ },
2497
+ {
2498
+ "epoch": 0.43510144219017355,
2499
+ "grad_norm": 113.65309143066406,
2500
+ "learning_rate": 6.312130256855977e-07,
2501
+ "loss": 20.0651,
2502
+ "step": 3560
2503
+ },
2504
+ {
2505
+ "epoch": 0.4363236372525055,
2506
+ "grad_norm": 94.59770202636719,
2507
+ "learning_rate": 6.23144717734552e-07,
2508
+ "loss": 9.5921,
2509
+ "step": 3570
2510
+ },
2511
+ {
2512
+ "epoch": 0.43754583231483746,
2513
+ "grad_norm": 64.78104400634766,
2514
+ "learning_rate": 6.151147662741695e-07,
2515
+ "loss": 9.0024,
2516
+ "step": 3580
2517
+ },
2518
+ {
2519
+ "epoch": 0.4387680273771694,
2520
+ "grad_norm": 172.04933166503906,
2521
+ "learning_rate": 6.071235225605415e-07,
2522
+ "loss": 33.165,
2523
+ "step": 3590
2524
+ },
2525
+ {
2526
+ "epoch": 0.43999022243950137,
2527
+ "grad_norm": 44.64152145385742,
2528
+ "learning_rate": 5.991713361565547e-07,
2529
+ "loss": 6.1801,
2530
+ "step": 3600
2531
+ },
2532
+ {
2533
+ "epoch": 0.44121241750183327,
2534
+ "grad_norm": 203.51007080078125,
2535
+ "learning_rate": 5.912585549166051e-07,
2536
+ "loss": 5.3009,
2537
+ "step": 3610
2538
+ },
2539
+ {
2540
+ "epoch": 0.4424346125641652,
2541
+ "grad_norm": 97.68695831298828,
2542
+ "learning_rate": 5.833855249713776e-07,
2543
+ "loss": 6.8692,
2544
+ "step": 3620
2545
+ },
2546
+ {
2547
+ "epoch": 0.4436568076264972,
2548
+ "grad_norm": 78.01688385009766,
2549
+ "learning_rate": 5.755525907127065e-07,
2550
+ "loss": 10.7841,
2551
+ "step": 3630
2552
+ },
2553
+ {
2554
+ "epoch": 0.44487900268882913,
2555
+ "grad_norm": 20.527307510375977,
2556
+ "learning_rate": 5.677600947785117e-07,
2557
+ "loss": 22.723,
2558
+ "step": 3640
2559
+ },
2560
+ {
2561
+ "epoch": 0.4461011977511611,
2562
+ "grad_norm": 127.55679321289062,
2563
+ "learning_rate": 5.6000837803781e-07,
2564
+ "loss": 60.9252,
2565
+ "step": 3650
2566
+ },
2567
+ {
2568
+ "epoch": 0.44732339281349304,
2569
+ "grad_norm": 555.4879760742188,
2570
+ "learning_rate": 5.522977795758038e-07,
2571
+ "loss": 11.5552,
2572
+ "step": 3660
2573
+ },
2574
+ {
2575
+ "epoch": 0.448545587875825,
2576
+ "grad_norm": 146.39453125,
2577
+ "learning_rate": 5.44628636679048e-07,
2578
+ "loss": 9.553,
2579
+ "step": 3670
2580
+ },
2581
+ {
2582
+ "epoch": 0.44976778293815695,
2583
+ "grad_norm": 141.15625,
2584
+ "learning_rate": 5.370012848206983e-07,
2585
+ "loss": 5.4557,
2586
+ "step": 3680
2587
+ },
2588
+ {
2589
+ "epoch": 0.4509899780004889,
2590
+ "grad_norm": 43.598960876464844,
2591
+ "learning_rate": 5.29416057645834e-07,
2592
+ "loss": 3.895,
2593
+ "step": 3690
2594
+ },
2595
+ {
2596
+ "epoch": 0.4522121730628208,
2597
+ "grad_norm": 300.5068359375,
2598
+ "learning_rate": 5.218732869568635e-07,
2599
+ "loss": 14.8202,
2600
+ "step": 3700
2601
+ },
2602
+ {
2603
+ "epoch": 0.45343436812515275,
2604
+ "grad_norm": 132.78176879882812,
2605
+ "learning_rate": 5.14373302699013e-07,
2606
+ "loss": 5.319,
2607
+ "step": 3710
2608
+ },
2609
+ {
2610
+ "epoch": 0.4546565631874847,
2611
+ "grad_norm": 18.86396026611328,
2612
+ "learning_rate": 5.069164329458894e-07,
2613
+ "loss": 10.4268,
2614
+ "step": 3720
2615
+ },
2616
+ {
2617
+ "epoch": 0.45587875824981666,
2618
+ "grad_norm": 27.44242286682129,
2619
+ "learning_rate": 4.995030038851342e-07,
2620
+ "loss": 11.1058,
2621
+ "step": 3730
2622
+ },
2623
+ {
2624
+ "epoch": 0.4571009533121486,
2625
+ "grad_norm": 14.50764274597168,
2626
+ "learning_rate": 4.9213333980415e-07,
2627
+ "loss": 6.0883,
2628
+ "step": 3740
2629
+ },
2630
+ {
2631
+ "epoch": 0.45832314837448057,
2632
+ "grad_norm": 98.38003540039062,
2633
+ "learning_rate": 4.848077630759175e-07,
2634
+ "loss": 32.7615,
2635
+ "step": 3750
2636
+ },
2637
+ {
2638
+ "epoch": 0.4595453434368125,
2639
+ "grad_norm": 130.5445556640625,
2640
+ "learning_rate": 4.775265941448951e-07,
2641
+ "loss": 5.52,
2642
+ "step": 3760
2643
+ },
2644
+ {
2645
+ "epoch": 0.4607675384991445,
2646
+ "grad_norm": 196.8353729248047,
2647
+ "learning_rate": 4.702901515129989e-07,
2648
+ "loss": 5.9688,
2649
+ "step": 3770
2650
+ },
2651
+ {
2652
+ "epoch": 0.46198973356147643,
2653
+ "grad_norm": 57.7867317199707,
2654
+ "learning_rate": 4.630987517256734e-07,
2655
+ "loss": 5.0135,
2656
+ "step": 3780
2657
+ },
2658
+ {
2659
+ "epoch": 0.46321192862380833,
2660
+ "grad_norm": 863.5753173828125,
2661
+ "learning_rate": 4.559527093580412e-07,
2662
+ "loss": 8.6421,
2663
+ "step": 3790
2664
+ },
2665
+ {
2666
+ "epoch": 0.4644341236861403,
2667
+ "grad_norm": 124.58134460449219,
2668
+ "learning_rate": 4.488523370011456e-07,
2669
+ "loss": 7.1488,
2670
+ "step": 3800
2671
+ },
2672
+ {
2673
+ "epoch": 0.46565631874847224,
2674
+ "grad_norm": 272.0075378417969,
2675
+ "learning_rate": 4.4179794524827654e-07,
2676
+ "loss": 5.7774,
2677
+ "step": 3810
2678
+ },
2679
+ {
2680
+ "epoch": 0.4668785138108042,
2681
+ "grad_norm": 113.27079772949219,
2682
+ "learning_rate": 4.3478984268138104e-07,
2683
+ "loss": 19.9043,
2684
+ "step": 3820
2685
+ },
2686
+ {
2687
+ "epoch": 0.46810070887313615,
2688
+ "grad_norm": 122.53727722167969,
2689
+ "learning_rate": 4.278283358575694e-07,
2690
+ "loss": 6.1119,
2691
+ "step": 3830
2692
+ },
2693
+ {
2694
+ "epoch": 0.4693229039354681,
2695
+ "grad_norm": 159.28475952148438,
2696
+ "learning_rate": 4.2091372929570143e-07,
2697
+ "loss": 5.5645,
2698
+ "step": 3840
2699
+ },
2700
+ {
2701
+ "epoch": 0.47054509899780006,
2702
+ "grad_norm": 47.391685485839844,
2703
+ "learning_rate": 4.140463254630693e-07,
2704
+ "loss": 4.6871,
2705
+ "step": 3850
2706
+ },
2707
+ {
2708
+ "epoch": 0.471767294060132,
2709
+ "grad_norm": 93.38746643066406,
2710
+ "learning_rate": 4.0722642476216287e-07,
2711
+ "loss": 3.5169,
2712
+ "step": 3860
2713
+ },
2714
+ {
2715
+ "epoch": 0.47298948912246397,
2716
+ "grad_norm": 118.08810424804688,
2717
+ "learning_rate": 4.0045432551753304e-07,
2718
+ "loss": 6.7679,
2719
+ "step": 3870
2720
+ },
2721
+ {
2722
+ "epoch": 0.47421168418479587,
2723
+ "grad_norm": 37.881404876708984,
2724
+ "learning_rate": 3.9373032396273926e-07,
2725
+ "loss": 30.8679,
2726
+ "step": 3880
2727
+ },
2728
+ {
2729
+ "epoch": 0.4754338792471278,
2730
+ "grad_norm": 112.29106140136719,
2731
+ "learning_rate": 3.870547142273918e-07,
2732
+ "loss": 10.6208,
2733
+ "step": 3890
2734
+ },
2735
+ {
2736
+ "epoch": 0.4766560743094598,
2737
+ "grad_norm": 142.98487854003906,
2738
+ "learning_rate": 3.8042778832428735e-07,
2739
+ "loss": 6.881,
2740
+ "step": 3900
2741
+ },
2742
+ {
2743
+ "epoch": 0.47787826937179173,
2744
+ "grad_norm": 92.50110626220703,
2745
+ "learning_rate": 3.7384983613663194e-07,
2746
+ "loss": 13.0713,
2747
+ "step": 3910
2748
+ },
2749
+ {
2750
+ "epoch": 0.4791004644341237,
2751
+ "grad_norm": 15.745367050170898,
2752
+ "learning_rate": 3.6732114540536504e-07,
2753
+ "loss": 6.0437,
2754
+ "step": 3920
2755
+ },
2756
+ {
2757
+ "epoch": 0.48032265949645564,
2758
+ "grad_norm": 106.84461975097656,
2759
+ "learning_rate": 3.6084200171656833e-07,
2760
+ "loss": 66.5628,
2761
+ "step": 3930
2762
+ },
2763
+ {
2764
+ "epoch": 0.4815448545587876,
2765
+ "grad_norm": 174.23342895507812,
2766
+ "learning_rate": 3.5441268848897663e-07,
2767
+ "loss": 4.8482,
2768
+ "step": 3940
2769
+ },
2770
+ {
2771
+ "epoch": 0.48276704962111955,
2772
+ "grad_norm": 477.5009765625,
2773
+ "learning_rate": 3.4803348696157914e-07,
2774
+ "loss": 47.9918,
2775
+ "step": 3950
2776
+ },
2777
+ {
2778
+ "epoch": 0.4839892446834515,
2779
+ "grad_norm": 103.01155090332031,
2780
+ "learning_rate": 3.417046761813155e-07,
2781
+ "loss": 49.6175,
2782
+ "step": 3960
2783
+ },
2784
+ {
2785
+ "epoch": 0.4852114397457834,
2786
+ "grad_norm": 263.6723327636719,
2787
+ "learning_rate": 3.354265329908726e-07,
2788
+ "loss": 6.4845,
2789
+ "step": 3970
2790
+ },
2791
+ {
2792
+ "epoch": 0.48643363480811536,
2793
+ "grad_norm": 132.40545654296875,
2794
+ "learning_rate": 3.2919933201657116e-07,
2795
+ "loss": 5.6436,
2796
+ "step": 3980
2797
+ },
2798
+ {
2799
+ "epoch": 0.4876558298704473,
2800
+ "grad_norm": 48.39036560058594,
2801
+ "learning_rate": 3.230233456563558e-07,
2802
+ "loss": 6.7095,
2803
+ "step": 3990
2804
+ },
2805
+ {
2806
+ "epoch": 0.48887802493277926,
2807
+ "grad_norm": 221.36289978027344,
2808
+ "learning_rate": 3.1689884406787675e-07,
2809
+ "loss": 6.7881,
2810
+ "step": 4000
2811
+ }
2812
+ ],
2813
+ "logging_steps": 10,
2814
+ "max_steps": 5000,
2815
+ "num_input_tokens_seen": 0,
2816
+ "num_train_epochs": 1,
2817
+ "save_steps": 1000,
2818
+ "stateful_callbacks": {
2819
+ "TrainerControl": {
2820
+ "args": {
2821
+ "should_epoch_stop": false,
2822
+ "should_evaluate": false,
2823
+ "should_log": false,
2824
+ "should_save": true,
2825
+ "should_training_stop": false
2826
+ },
2827
+ "attributes": {}
2828
+ }
2829
+ },
2830
+ "total_flos": 0.0,
2831
+ "train_batch_size": 4,
2832
+ "trial_name": null,
2833
+ "trial_params": null
2834
+ }