upload ckpt files
Browse files- config.json +75 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- trainer_state.json +1500 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "sshleifer/distilbart-cnn-12-3",
|
3 |
+
"_num_labels": 3,
|
4 |
+
"activation_dropout": 0.0,
|
5 |
+
"activation_function": "gelu",
|
6 |
+
"add_bias_logits": false,
|
7 |
+
"add_final_layer_norm": false,
|
8 |
+
"architectures": [
|
9 |
+
"NFBart"
|
10 |
+
],
|
11 |
+
"attention_dropout": 0.0,
|
12 |
+
"bos_token_id": 0,
|
13 |
+
"classif_dropout": 0.0,
|
14 |
+
"classifier_dropout": 0.0,
|
15 |
+
"d_model": 1024,
|
16 |
+
"decoder_attention_heads": 16,
|
17 |
+
"decoder_ffn_dim": 4096,
|
18 |
+
"decoder_layerdrop": 0.0,
|
19 |
+
"decoder_layers": 3,
|
20 |
+
"decoder_start_token_id": 2,
|
21 |
+
"dropout": 0.1,
|
22 |
+
"early_stopping": true,
|
23 |
+
"encoder_attention_heads": 16,
|
24 |
+
"encoder_ffn_dim": 4096,
|
25 |
+
"encoder_layerdrop": 0.0,
|
26 |
+
"encoder_layers": 12,
|
27 |
+
"eos_token_id": 2,
|
28 |
+
"extra_pos_embeddings": 2,
|
29 |
+
"force_bos_token_to_be_generated": true,
|
30 |
+
"forced_bos_token_id": 0,
|
31 |
+
"forced_eos_token_id": 2,
|
32 |
+
"gradient_checkpointing": false,
|
33 |
+
"id2label": {
|
34 |
+
"0": "LABEL_0",
|
35 |
+
"1": "LABEL_1",
|
36 |
+
"2": "LABEL_2"
|
37 |
+
},
|
38 |
+
"init_std": 0.02,
|
39 |
+
"is_encoder_decoder": true,
|
40 |
+
"label2id": {
|
41 |
+
"LABEL_0": 0,
|
42 |
+
"LABEL_1": 1,
|
43 |
+
"LABEL_2": 2
|
44 |
+
},
|
45 |
+
"length_penalty": 2.0,
|
46 |
+
"max_length": 142,
|
47 |
+
"max_position_embeddings": 1024,
|
48 |
+
"min_length": 56,
|
49 |
+
"model_type": "bart",
|
50 |
+
"no_repeat_ngram_size": 3,
|
51 |
+
"normalize_before": false,
|
52 |
+
"normalize_embedding": true,
|
53 |
+
"num_beams": 4,
|
54 |
+
"num_hidden_layers": 12,
|
55 |
+
"output_past": true,
|
56 |
+
"pad_token_id": 1,
|
57 |
+
"prefix": " ",
|
58 |
+
"save_step": 14,
|
59 |
+
"scale_embedding": false,
|
60 |
+
"static_position_embeddings": false,
|
61 |
+
"task_specific_params": {
|
62 |
+
"summarization": {
|
63 |
+
"early_stopping": true,
|
64 |
+
"length_penalty": 2.0,
|
65 |
+
"max_length": 142,
|
66 |
+
"min_length": 56,
|
67 |
+
"no_repeat_ngram_size": 3,
|
68 |
+
"num_beams": 4
|
69 |
+
}
|
70 |
+
},
|
71 |
+
"torch_dtype": "float32",
|
72 |
+
"transformers_version": "4.25.1",
|
73 |
+
"use_cache": true,
|
74 |
+
"vocab_size": 50265
|
75 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6e72e0975dfbe0455970b9b0a0b404fa14de3dfedba3ae44792e9461cbae2dd9
|
3 |
+
size 1051630133
|
special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": {
|
4 |
+
"__type": "AddedToken",
|
5 |
+
"content": "<s>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": true,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false
|
10 |
+
},
|
11 |
+
"cls_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "<s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"eos_token": {
|
20 |
+
"__type": "AddedToken",
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"errors": "replace",
|
28 |
+
"mask_token": {
|
29 |
+
"__type": "AddedToken",
|
30 |
+
"content": "<mask>",
|
31 |
+
"lstrip": true,
|
32 |
+
"normalized": true,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false
|
35 |
+
},
|
36 |
+
"model_max_length": 1024,
|
37 |
+
"name_or_path": "sshleifer/distilbart-cnn-12-3",
|
38 |
+
"pad_token": {
|
39 |
+
"__type": "AddedToken",
|
40 |
+
"content": "<pad>",
|
41 |
+
"lstrip": false,
|
42 |
+
"normalized": true,
|
43 |
+
"rstrip": false,
|
44 |
+
"single_word": false
|
45 |
+
},
|
46 |
+
"sep_token": {
|
47 |
+
"__type": "AddedToken",
|
48 |
+
"content": "</s>",
|
49 |
+
"lstrip": false,
|
50 |
+
"normalized": true,
|
51 |
+
"rstrip": false,
|
52 |
+
"single_word": false
|
53 |
+
},
|
54 |
+
"special_tokens_map_file": "/home/yang6367/.cache/huggingface/hub/models--sshleifer--distilbart-cnn-12-3/snapshots/e3a8f0dafad8b99df3209ff7cf33e1f8402619e1/special_tokens_map.json",
|
55 |
+
"tokenizer_class": "BartTokenizer",
|
56 |
+
"trim_offsets": true,
|
57 |
+
"unk_token": {
|
58 |
+
"__type": "AddedToken",
|
59 |
+
"content": "<unk>",
|
60 |
+
"lstrip": false,
|
61 |
+
"normalized": true,
|
62 |
+
"rstrip": false,
|
63 |
+
"single_word": false
|
64 |
+
}
|
65 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1500 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 5.177720546722412,
|
3 |
+
"best_model_checkpoint": "../checkpoints/nf-distilbart_12_3-rqnsf-lagtrain-augmented/checkpoint-212000",
|
4 |
+
"epoch": 2.953510079549729,
|
5 |
+
"global_step": 212000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"gate_score": 0.4928,
|
13 |
+
"learning_rate": 0.0,
|
14 |
+
"loss": 573.0775,
|
15 |
+
"nf_loss": 569.8872,
|
16 |
+
"ppl": 32.0588,
|
17 |
+
"step": 2000
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.06,
|
21 |
+
"gate_score": 0.4835,
|
22 |
+
"learning_rate": 0.0,
|
23 |
+
"loss": 341.9544,
|
24 |
+
"nf_loss": 339.8841,
|
25 |
+
"ppl": 9.249,
|
26 |
+
"step": 4000
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.06,
|
30 |
+
"eval_loss": 256.18603515625,
|
31 |
+
"eval_nf_loss": 253.6398468017578,
|
32 |
+
"eval_perplexity": 13.794677734375,
|
33 |
+
"eval_runtime": 646.8656,
|
34 |
+
"eval_samples_per_second": 20.666,
|
35 |
+
"eval_steps_per_second": 2.583,
|
36 |
+
"step": 4000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"gate_score": 0.468,
|
41 |
+
"learning_rate": 0.0,
|
42 |
+
"loss": 216.1715,
|
43 |
+
"nf_loss": 214.5228,
|
44 |
+
"ppl": 5.9033,
|
45 |
+
"step": 6000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.11,
|
49 |
+
"gate_score": 0.4488,
|
50 |
+
"learning_rate": 0.0,
|
51 |
+
"loss": 143.1113,
|
52 |
+
"nf_loss": 141.682,
|
53 |
+
"ppl": 4.666,
|
54 |
+
"step": 8000
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.11,
|
58 |
+
"eval_loss": 111.98719024658203,
|
59 |
+
"eval_nf_loss": 109.95372009277344,
|
60 |
+
"eval_perplexity": 8.187104225158691,
|
61 |
+
"eval_runtime": 836.6322,
|
62 |
+
"eval_samples_per_second": 15.978,
|
63 |
+
"eval_steps_per_second": 1.997,
|
64 |
+
"step": 8000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.14,
|
68 |
+
"gate_score": 0.4331,
|
69 |
+
"learning_rate": 0.0,
|
70 |
+
"loss": 97.2206,
|
71 |
+
"nf_loss": 95.8896,
|
72 |
+
"ppl": 4.2098,
|
73 |
+
"step": 10000
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.17,
|
77 |
+
"gate_score": 0.4146,
|
78 |
+
"learning_rate": 0.0,
|
79 |
+
"loss": 72.4608,
|
80 |
+
"nf_loss": 71.1644,
|
81 |
+
"ppl": 4.0666,
|
82 |
+
"step": 12000
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.17,
|
86 |
+
"eval_loss": 60.48736572265625,
|
87 |
+
"eval_nf_loss": 58.55850601196289,
|
88 |
+
"eval_perplexity": 7.357144355773926,
|
89 |
+
"eval_runtime": 847.0188,
|
90 |
+
"eval_samples_per_second": 15.782,
|
91 |
+
"eval_steps_per_second": 1.973,
|
92 |
+
"step": 12000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.2,
|
96 |
+
"gate_score": 0.3943,
|
97 |
+
"learning_rate": 0.0,
|
98 |
+
"loss": 58.0258,
|
99 |
+
"nf_loss": 56.7432,
|
100 |
+
"ppl": 4.0134,
|
101 |
+
"step": 14000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.22,
|
105 |
+
"gate_score": 0.373,
|
106 |
+
"learning_rate": 0.0,
|
107 |
+
"loss": 45.4137,
|
108 |
+
"nf_loss": 44.1607,
|
109 |
+
"ppl": 3.8803,
|
110 |
+
"step": 16000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.22,
|
114 |
+
"eval_loss": 35.780086517333984,
|
115 |
+
"eval_nf_loss": 33.906742095947266,
|
116 |
+
"eval_perplexity": 6.943728923797607,
|
117 |
+
"eval_runtime": 829.3361,
|
118 |
+
"eval_samples_per_second": 16.119,
|
119 |
+
"eval_steps_per_second": 2.015,
|
120 |
+
"step": 16000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.25,
|
124 |
+
"gate_score": 0.3552,
|
125 |
+
"learning_rate": 0.0,
|
126 |
+
"loss": 33.838,
|
127 |
+
"nf_loss": 32.5964,
|
128 |
+
"ppl": 3.8548,
|
129 |
+
"step": 18000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.28,
|
133 |
+
"gate_score": 0.3346,
|
134 |
+
"learning_rate": 0.0,
|
135 |
+
"loss": 28.827,
|
136 |
+
"nf_loss": 27.5837,
|
137 |
+
"ppl": 3.8361,
|
138 |
+
"step": 20000
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 0.28,
|
142 |
+
"eval_loss": 24.475879669189453,
|
143 |
+
"eval_nf_loss": 22.578872680664062,
|
144 |
+
"eval_perplexity": 7.1263651847839355,
|
145 |
+
"eval_runtime": 878.8848,
|
146 |
+
"eval_samples_per_second": 15.21,
|
147 |
+
"eval_steps_per_second": 1.901,
|
148 |
+
"step": 20000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 0.31,
|
152 |
+
"gate_score": 0.3166,
|
153 |
+
"learning_rate": 0.0,
|
154 |
+
"loss": 25.3406,
|
155 |
+
"nf_loss": 24.0903,
|
156 |
+
"ppl": 3.8804,
|
157 |
+
"step": 22000
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.33,
|
161 |
+
"gate_score": 0.2976,
|
162 |
+
"learning_rate": 0.0,
|
163 |
+
"loss": 22.6997,
|
164 |
+
"nf_loss": 21.451,
|
165 |
+
"ppl": 3.8523,
|
166 |
+
"step": 24000
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.33,
|
170 |
+
"eval_loss": 20.067764282226562,
|
171 |
+
"eval_nf_loss": 18.16155242919922,
|
172 |
+
"eval_perplexity": 7.192458152770996,
|
173 |
+
"eval_runtime": 909.546,
|
174 |
+
"eval_samples_per_second": 14.697,
|
175 |
+
"eval_steps_per_second": 1.837,
|
176 |
+
"step": 24000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.36,
|
180 |
+
"gate_score": 0.2793,
|
181 |
+
"learning_rate": 0.0,
|
182 |
+
"loss": 20.7264,
|
183 |
+
"nf_loss": 19.4539,
|
184 |
+
"ppl": 3.9698,
|
185 |
+
"step": 26000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.39,
|
189 |
+
"gate_score": 0.2666,
|
190 |
+
"learning_rate": 0.0,
|
191 |
+
"loss": 19.1146,
|
192 |
+
"nf_loss": 17.8629,
|
193 |
+
"ppl": 3.8907,
|
194 |
+
"step": 28000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.39,
|
198 |
+
"eval_loss": 16.49034309387207,
|
199 |
+
"eval_nf_loss": 14.588922500610352,
|
200 |
+
"eval_perplexity": 7.155718803405762,
|
201 |
+
"eval_runtime": 909.9257,
|
202 |
+
"eval_samples_per_second": 14.691,
|
203 |
+
"eval_steps_per_second": 1.836,
|
204 |
+
"step": 28000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.42,
|
208 |
+
"gate_score": 0.2556,
|
209 |
+
"learning_rate": 0.0,
|
210 |
+
"loss": 17.6585,
|
211 |
+
"nf_loss": 16.365,
|
212 |
+
"ppl": 4.0564,
|
213 |
+
"step": 30000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.45,
|
217 |
+
"gate_score": 0.2421,
|
218 |
+
"learning_rate": 0.0,
|
219 |
+
"loss": 16.8685,
|
220 |
+
"nf_loss": 15.5951,
|
221 |
+
"ppl": 3.9944,
|
222 |
+
"step": 32000
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 0.45,
|
226 |
+
"eval_loss": 15.092597961425781,
|
227 |
+
"eval_nf_loss": 13.178274154663086,
|
228 |
+
"eval_perplexity": 7.254034996032715,
|
229 |
+
"eval_runtime": 911.9245,
|
230 |
+
"eval_samples_per_second": 14.659,
|
231 |
+
"eval_steps_per_second": 1.832,
|
232 |
+
"step": 32000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 0.47,
|
236 |
+
"gate_score": 0.2294,
|
237 |
+
"learning_rate": 0.0,
|
238 |
+
"loss": 15.8886,
|
239 |
+
"nf_loss": 14.6156,
|
240 |
+
"ppl": 3.9955,
|
241 |
+
"step": 34000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.5,
|
245 |
+
"gate_score": 0.218,
|
246 |
+
"learning_rate": 0.0,
|
247 |
+
"loss": 14.9949,
|
248 |
+
"nf_loss": 13.7324,
|
249 |
+
"ppl": 3.9536,
|
250 |
+
"step": 36000
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.5,
|
254 |
+
"eval_loss": 13.548192977905273,
|
255 |
+
"eval_nf_loss": 11.632102012634277,
|
256 |
+
"eval_perplexity": 7.279270172119141,
|
257 |
+
"eval_runtime": 927.089,
|
258 |
+
"eval_samples_per_second": 14.419,
|
259 |
+
"eval_steps_per_second": 1.802,
|
260 |
+
"step": 36000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.53,
|
264 |
+
"gate_score": 0.2095,
|
265 |
+
"learning_rate": 0.0,
|
266 |
+
"loss": 14.5153,
|
267 |
+
"nf_loss": 13.2641,
|
268 |
+
"ppl": 3.8886,
|
269 |
+
"step": 38000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.56,
|
273 |
+
"gate_score": 0.2065,
|
274 |
+
"learning_rate": 0.0,
|
275 |
+
"loss": 13.8227,
|
276 |
+
"nf_loss": 12.5901,
|
277 |
+
"ppl": 3.8375,
|
278 |
+
"step": 40000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.56,
|
282 |
+
"eval_loss": 12.412004470825195,
|
283 |
+
"eval_nf_loss": 10.545845985412598,
|
284 |
+
"eval_perplexity": 6.89225435256958,
|
285 |
+
"eval_runtime": 905.0462,
|
286 |
+
"eval_samples_per_second": 14.771,
|
287 |
+
"eval_steps_per_second": 1.846,
|
288 |
+
"step": 40000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.59,
|
292 |
+
"gate_score": 0.2009,
|
293 |
+
"learning_rate": 0.0,
|
294 |
+
"loss": 13.3939,
|
295 |
+
"nf_loss": 12.1663,
|
296 |
+
"ppl": 3.7926,
|
297 |
+
"step": 42000
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.61,
|
301 |
+
"gate_score": 0.1935,
|
302 |
+
"learning_rate": 0.0,
|
303 |
+
"loss": 13.0096,
|
304 |
+
"nf_loss": 11.7892,
|
305 |
+
"ppl": 3.758,
|
306 |
+
"step": 44000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.61,
|
310 |
+
"eval_loss": 11.815178871154785,
|
311 |
+
"eval_nf_loss": 9.942044258117676,
|
312 |
+
"eval_perplexity": 6.960797309875488,
|
313 |
+
"eval_runtime": 909.5617,
|
314 |
+
"eval_samples_per_second": 14.697,
|
315 |
+
"eval_steps_per_second": 1.837,
|
316 |
+
"step": 44000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.64,
|
320 |
+
"gate_score": 0.1903,
|
321 |
+
"learning_rate": 0.0,
|
322 |
+
"loss": 12.4269,
|
323 |
+
"nf_loss": 11.2151,
|
324 |
+
"ppl": 3.7435,
|
325 |
+
"step": 46000
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.67,
|
329 |
+
"gate_score": 0.1854,
|
330 |
+
"learning_rate": 0.0,
|
331 |
+
"loss": 11.9829,
|
332 |
+
"nf_loss": 10.7658,
|
333 |
+
"ppl": 3.7626,
|
334 |
+
"step": 48000
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.67,
|
338 |
+
"eval_loss": 10.730130195617676,
|
339 |
+
"eval_nf_loss": 8.879775047302246,
|
340 |
+
"eval_perplexity": 6.794580459594727,
|
341 |
+
"eval_runtime": 900.5692,
|
342 |
+
"eval_samples_per_second": 14.844,
|
343 |
+
"eval_steps_per_second": 1.855,
|
344 |
+
"step": 48000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.7,
|
348 |
+
"gate_score": 0.1842,
|
349 |
+
"learning_rate": 0.0,
|
350 |
+
"loss": 11.6604,
|
351 |
+
"nf_loss": 10.459,
|
352 |
+
"ppl": 3.6987,
|
353 |
+
"step": 50000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.72,
|
357 |
+
"gate_score": 0.1778,
|
358 |
+
"learning_rate": 0.0,
|
359 |
+
"loss": 11.3837,
|
360 |
+
"nf_loss": 10.1987,
|
361 |
+
"ppl": 3.6203,
|
362 |
+
"step": 52000
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.72,
|
366 |
+
"eval_loss": 10.283514976501465,
|
367 |
+
"eval_nf_loss": 8.462200164794922,
|
368 |
+
"eval_perplexity": 6.589704513549805,
|
369 |
+
"eval_runtime": 897.7218,
|
370 |
+
"eval_samples_per_second": 14.891,
|
371 |
+
"eval_steps_per_second": 1.861,
|
372 |
+
"step": 52000
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.75,
|
376 |
+
"gate_score": 0.1743,
|
377 |
+
"learning_rate": 0.0,
|
378 |
+
"loss": 11.1345,
|
379 |
+
"nf_loss": 9.9505,
|
380 |
+
"ppl": 3.6226,
|
381 |
+
"step": 54000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.78,
|
385 |
+
"gate_score": 0.1681,
|
386 |
+
"learning_rate": 0.0,
|
387 |
+
"loss": 10.913,
|
388 |
+
"nf_loss": 9.7401,
|
389 |
+
"ppl": 3.5839,
|
390 |
+
"step": 56000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.78,
|
394 |
+
"eval_loss": 9.798712730407715,
|
395 |
+
"eval_nf_loss": 7.988397598266602,
|
396 |
+
"eval_perplexity": 6.516669750213623,
|
397 |
+
"eval_runtime": 883.3578,
|
398 |
+
"eval_samples_per_second": 15.133,
|
399 |
+
"eval_steps_per_second": 1.892,
|
400 |
+
"step": 56000
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.81,
|
404 |
+
"gate_score": 0.1714,
|
405 |
+
"learning_rate": 0.0,
|
406 |
+
"loss": 10.7764,
|
407 |
+
"nf_loss": 9.605,
|
408 |
+
"ppl": 3.5672,
|
409 |
+
"step": 58000
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.84,
|
413 |
+
"gate_score": 0.1655,
|
414 |
+
"learning_rate": 0.0,
|
415 |
+
"loss": 10.5627,
|
416 |
+
"nf_loss": 9.4126,
|
417 |
+
"ppl": 3.5056,
|
418 |
+
"step": 60000
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.84,
|
422 |
+
"eval_loss": 9.538662910461426,
|
423 |
+
"eval_nf_loss": 7.738859176635742,
|
424 |
+
"eval_perplexity": 6.450651168823242,
|
425 |
+
"eval_runtime": 876.1125,
|
426 |
+
"eval_samples_per_second": 15.258,
|
427 |
+
"eval_steps_per_second": 1.907,
|
428 |
+
"step": 60000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.86,
|
432 |
+
"gate_score": 0.1661,
|
433 |
+
"learning_rate": 0.0,
|
434 |
+
"loss": 10.4422,
|
435 |
+
"nf_loss": 9.2887,
|
436 |
+
"ppl": 3.523,
|
437 |
+
"step": 62000
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.89,
|
441 |
+
"gate_score": 0.1643,
|
442 |
+
"learning_rate": 0.0,
|
443 |
+
"loss": 10.238,
|
444 |
+
"nf_loss": 9.092,
|
445 |
+
"ppl": 3.4769,
|
446 |
+
"step": 64000
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.89,
|
450 |
+
"eval_loss": 9.2942533493042,
|
451 |
+
"eval_nf_loss": 7.510049819946289,
|
452 |
+
"eval_perplexity": 6.345398426055908,
|
453 |
+
"eval_runtime": 873.6279,
|
454 |
+
"eval_samples_per_second": 15.302,
|
455 |
+
"eval_steps_per_second": 1.913,
|
456 |
+
"step": 64000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.92,
|
460 |
+
"gate_score": 0.1625,
|
461 |
+
"learning_rate": 0.0,
|
462 |
+
"loss": 10.1516,
|
463 |
+
"nf_loss": 9.0024,
|
464 |
+
"ppl": 3.4898,
|
465 |
+
"step": 66000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.95,
|
469 |
+
"gate_score": 0.1609,
|
470 |
+
"learning_rate": 0.0,
|
471 |
+
"loss": 9.9819,
|
472 |
+
"nf_loss": 8.8616,
|
473 |
+
"ppl": 3.3834,
|
474 |
+
"step": 68000
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.95,
|
478 |
+
"eval_loss": 9.13103199005127,
|
479 |
+
"eval_nf_loss": 7.360151290893555,
|
480 |
+
"eval_perplexity": 6.2570929527282715,
|
481 |
+
"eval_runtime": 892.7167,
|
482 |
+
"eval_samples_per_second": 14.975,
|
483 |
+
"eval_steps_per_second": 1.872,
|
484 |
+
"step": 68000
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.98,
|
488 |
+
"gate_score": 0.1605,
|
489 |
+
"learning_rate": 0.0,
|
490 |
+
"loss": 9.9759,
|
491 |
+
"nf_loss": 8.8506,
|
492 |
+
"ppl": 3.3913,
|
493 |
+
"step": 70000
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.0,
|
497 |
+
"gate_score": 0.161,
|
498 |
+
"learning_rate": 5.5250000000000005e-06,
|
499 |
+
"loss": 9.9267,
|
500 |
+
"nf_loss": 8.805,
|
501 |
+
"ppl": 3.3955,
|
502 |
+
"step": 72000
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 1.0,
|
506 |
+
"eval_loss": 9.130549430847168,
|
507 |
+
"eval_nf_loss": 7.364365577697754,
|
508 |
+
"eval_perplexity": 6.226567268371582,
|
509 |
+
"eval_runtime": 865.1706,
|
510 |
+
"eval_samples_per_second": 15.451,
|
511 |
+
"eval_steps_per_second": 1.931,
|
512 |
+
"step": 72000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.03,
|
516 |
+
"gate_score": 0.1525,
|
517 |
+
"learning_rate": 4.9922293335593894e-05,
|
518 |
+
"loss": 10.6431,
|
519 |
+
"nf_loss": 9.4961,
|
520 |
+
"ppl": 3.4863,
|
521 |
+
"step": 74000
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.06,
|
525 |
+
"gate_score": 0.1281,
|
526 |
+
"learning_rate": 4.921622232583111e-05,
|
527 |
+
"loss": 11.018,
|
528 |
+
"nf_loss": 9.7948,
|
529 |
+
"ppl": 3.8142,
|
530 |
+
"step": 76000
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 1.06,
|
534 |
+
"eval_loss": 10.00072193145752,
|
535 |
+
"eval_nf_loss": 8.153450965881348,
|
536 |
+
"eval_perplexity": 6.768190383911133,
|
537 |
+
"eval_runtime": 618.9198,
|
538 |
+
"eval_samples_per_second": 21.599,
|
539 |
+
"eval_steps_per_second": 2.7,
|
540 |
+
"step": 76000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.09,
|
544 |
+
"gate_score": 0.1074,
|
545 |
+
"learning_rate": 4.850979810395739e-05,
|
546 |
+
"loss": 10.5531,
|
547 |
+
"nf_loss": 9.3486,
|
548 |
+
"ppl": 3.7186,
|
549 |
+
"step": 78000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.11,
|
553 |
+
"gate_score": 0.0924,
|
554 |
+
"learning_rate": 4.780408030630554e-05,
|
555 |
+
"loss": 10.0575,
|
556 |
+
"nf_loss": 8.8613,
|
557 |
+
"ppl": 3.7072,
|
558 |
+
"step": 80000
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 1.11,
|
562 |
+
"eval_loss": 9.039822578430176,
|
563 |
+
"eval_nf_loss": 7.206754684448242,
|
564 |
+
"eval_perplexity": 6.669988632202148,
|
565 |
+
"eval_runtime": 639.9491,
|
566 |
+
"eval_samples_per_second": 20.889,
|
567 |
+
"eval_steps_per_second": 2.611,
|
568 |
+
"step": 80000
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 1.14,
|
572 |
+
"gate_score": 0.0874,
|
573 |
+
"learning_rate": 4.7097656084431825e-05,
|
574 |
+
"loss": 9.7084,
|
575 |
+
"nf_loss": 8.5025,
|
576 |
+
"ppl": 3.7371,
|
577 |
+
"step": 82000
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 1.17,
|
581 |
+
"gate_score": 0.0759,
|
582 |
+
"learning_rate": 4.639158507466904e-05,
|
583 |
+
"loss": 9.3613,
|
584 |
+
"nf_loss": 8.1756,
|
585 |
+
"ppl": 3.6444,
|
586 |
+
"step": 84000
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 1.17,
|
590 |
+
"eval_loss": 8.67480182647705,
|
591 |
+
"eval_nf_loss": 6.853387832641602,
|
592 |
+
"eval_perplexity": 6.5951128005981445,
|
593 |
+
"eval_runtime": 655.8198,
|
594 |
+
"eval_samples_per_second": 20.384,
|
595 |
+
"eval_steps_per_second": 2.548,
|
596 |
+
"step": 84000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.2,
|
600 |
+
"gate_score": 0.0725,
|
601 |
+
"learning_rate": 4.5685160852795324e-05,
|
602 |
+
"loss": 8.9712,
|
603 |
+
"nf_loss": 7.7979,
|
604 |
+
"ppl": 3.5998,
|
605 |
+
"step": 86000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.23,
|
609 |
+
"gate_score": 0.0666,
|
610 |
+
"learning_rate": 4.497908984303254e-05,
|
611 |
+
"loss": 8.7453,
|
612 |
+
"nf_loss": 7.5777,
|
613 |
+
"ppl": 3.5764,
|
614 |
+
"step": 88000
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.23,
|
618 |
+
"eval_loss": 7.947096347808838,
|
619 |
+
"eval_nf_loss": 6.137327671051025,
|
620 |
+
"eval_perplexity": 6.509429454803467,
|
621 |
+
"eval_runtime": 654.1896,
|
622 |
+
"eval_samples_per_second": 20.434,
|
623 |
+
"eval_steps_per_second": 2.554,
|
624 |
+
"step": 88000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 1.25,
|
628 |
+
"gate_score": 0.0657,
|
629 |
+
"learning_rate": 4.4273018833269757e-05,
|
630 |
+
"loss": 8.4051,
|
631 |
+
"nf_loss": 7.2351,
|
632 |
+
"ppl": 3.5928,
|
633 |
+
"step": 90000
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 1.28,
|
637 |
+
"gate_score": 0.0632,
|
638 |
+
"learning_rate": 4.356694782350697e-05,
|
639 |
+
"loss": 8.2083,
|
640 |
+
"nf_loss": 7.0471,
|
641 |
+
"ppl": 3.5522,
|
642 |
+
"step": 92000
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 1.28,
|
646 |
+
"eval_loss": 7.776934623718262,
|
647 |
+
"eval_nf_loss": 5.991891384124756,
|
648 |
+
"eval_perplexity": 6.346434593200684,
|
649 |
+
"eval_runtime": 664.9292,
|
650 |
+
"eval_samples_per_second": 20.104,
|
651 |
+
"eval_steps_per_second": 2.513,
|
652 |
+
"step": 92000
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.31,
|
656 |
+
"gate_score": 0.0614,
|
657 |
+
"learning_rate": 4.2860523601633256e-05,
|
658 |
+
"loss": 7.8299,
|
659 |
+
"nf_loss": 6.6969,
|
660 |
+
"ppl": 3.4547,
|
661 |
+
"step": 94000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 1.34,
|
665 |
+
"gate_score": 0.0596,
|
666 |
+
"learning_rate": 4.215445259187047e-05,
|
667 |
+
"loss": 7.6361,
|
668 |
+
"nf_loss": 6.4891,
|
669 |
+
"ppl": 3.5083,
|
670 |
+
"step": 96000
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 1.34,
|
674 |
+
"eval_loss": 7.583176612854004,
|
675 |
+
"eval_nf_loss": 5.804019927978516,
|
676 |
+
"eval_perplexity": 6.316826343536377,
|
677 |
+
"eval_runtime": 649.9826,
|
678 |
+
"eval_samples_per_second": 20.567,
|
679 |
+
"eval_steps_per_second": 2.571,
|
680 |
+
"step": 96000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.37,
|
684 |
+
"gate_score": 0.0567,
|
685 |
+
"learning_rate": 4.144838158210769e-05,
|
686 |
+
"loss": 7.4853,
|
687 |
+
"nf_loss": 6.36,
|
688 |
+
"ppl": 3.4233,
|
689 |
+
"step": 98000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.39,
|
693 |
+
"gate_score": 0.0557,
|
694 |
+
"learning_rate": 4.074195736023397e-05,
|
695 |
+
"loss": 7.2881,
|
696 |
+
"nf_loss": 6.1511,
|
697 |
+
"ppl": 3.4723,
|
698 |
+
"step": 100000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.39,
|
702 |
+
"eval_loss": 7.400701999664307,
|
703 |
+
"eval_nf_loss": 5.625098705291748,
|
704 |
+
"eval_perplexity": 6.289206504821777,
|
705 |
+
"eval_runtime": 667.0031,
|
706 |
+
"eval_samples_per_second": 20.042,
|
707 |
+
"eval_steps_per_second": 2.505,
|
708 |
+
"step": 100000
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 1.42,
|
712 |
+
"gate_score": 0.054,
|
713 |
+
"learning_rate": 4.003588635047119e-05,
|
714 |
+
"loss": 7.165,
|
715 |
+
"nf_loss": 6.0472,
|
716 |
+
"ppl": 3.3942,
|
717 |
+
"step": 102000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.45,
|
721 |
+
"gate_score": 0.0532,
|
722 |
+
"learning_rate": 3.9329815340708403e-05,
|
723 |
+
"loss": 6.9929,
|
724 |
+
"nf_loss": 5.864,
|
725 |
+
"ppl": 3.45,
|
726 |
+
"step": 104000
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.45,
|
730 |
+
"eval_loss": 6.6446003913879395,
|
731 |
+
"eval_nf_loss": 4.897329330444336,
|
732 |
+
"eval_perplexity": 6.099964141845703,
|
733 |
+
"eval_runtime": 665.1582,
|
734 |
+
"eval_samples_per_second": 20.097,
|
735 |
+
"eval_steps_per_second": 2.512,
|
736 |
+
"step": 104000
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 1.48,
|
740 |
+
"gate_score": 0.0508,
|
741 |
+
"learning_rate": 3.8623391118834686e-05,
|
742 |
+
"loss": 6.8638,
|
743 |
+
"nf_loss": 5.7412,
|
744 |
+
"ppl": 3.4016,
|
745 |
+
"step": 106000
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 1.5,
|
749 |
+
"gate_score": 0.048,
|
750 |
+
"learning_rate": 3.79173201090719e-05,
|
751 |
+
"loss": 6.7439,
|
752 |
+
"nf_loss": 5.6285,
|
753 |
+
"ppl": 3.3851,
|
754 |
+
"step": 108000
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 1.5,
|
758 |
+
"eval_loss": 6.440381050109863,
|
759 |
+
"eval_nf_loss": 4.687047004699707,
|
760 |
+
"eval_perplexity": 6.147556304931641,
|
761 |
+
"eval_runtime": 671.2658,
|
762 |
+
"eval_samples_per_second": 19.915,
|
763 |
+
"eval_steps_per_second": 2.489,
|
764 |
+
"step": 108000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.53,
|
768 |
+
"gate_score": 0.0489,
|
769 |
+
"learning_rate": 3.721124909930912e-05,
|
770 |
+
"loss": 6.6258,
|
771 |
+
"nf_loss": 5.5227,
|
772 |
+
"ppl": 3.34,
|
773 |
+
"step": 110000
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.56,
|
777 |
+
"gate_score": 0.0476,
|
778 |
+
"learning_rate": 3.65048248774354e-05,
|
779 |
+
"loss": 6.5119,
|
780 |
+
"nf_loss": 5.4155,
|
781 |
+
"ppl": 3.3128,
|
782 |
+
"step": 112000
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 1.56,
|
786 |
+
"eval_loss": 6.296238422393799,
|
787 |
+
"eval_nf_loss": 4.570157527923584,
|
788 |
+
"eval_perplexity": 5.967574119567871,
|
789 |
+
"eval_runtime": 658.6675,
|
790 |
+
"eval_samples_per_second": 20.296,
|
791 |
+
"eval_steps_per_second": 2.537,
|
792 |
+
"step": 112000
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 1.59,
|
796 |
+
"gate_score": 0.0482,
|
797 |
+
"learning_rate": 3.579910707978356e-05,
|
798 |
+
"loss": 6.3285,
|
799 |
+
"nf_loss": 5.2244,
|
800 |
+
"ppl": 3.3628,
|
801 |
+
"step": 114000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 1.62,
|
805 |
+
"gate_score": 0.0482,
|
806 |
+
"learning_rate": 3.5092682857909834e-05,
|
807 |
+
"loss": 6.2206,
|
808 |
+
"nf_loss": 5.1234,
|
809 |
+
"ppl": 3.3327,
|
810 |
+
"step": 116000
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 1.62,
|
814 |
+
"eval_loss": 6.046633720397949,
|
815 |
+
"eval_nf_loss": 4.321578025817871,
|
816 |
+
"eval_perplexity": 5.9654130935668945,
|
817 |
+
"eval_runtime": 653.7138,
|
818 |
+
"eval_samples_per_second": 20.449,
|
819 |
+
"eval_steps_per_second": 2.556,
|
820 |
+
"step": 116000
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 1.64,
|
824 |
+
"gate_score": 0.0489,
|
825 |
+
"learning_rate": 3.438625863603611e-05,
|
826 |
+
"loss": 6.0978,
|
827 |
+
"nf_loss": 5.0037,
|
828 |
+
"ppl": 3.3053,
|
829 |
+
"step": 118000
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 1.67,
|
833 |
+
"gate_score": 0.0468,
|
834 |
+
"learning_rate": 3.3680540838384266e-05,
|
835 |
+
"loss": 6.0198,
|
836 |
+
"nf_loss": 4.9354,
|
837 |
+
"ppl": 3.2737,
|
838 |
+
"step": 120000
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 1.67,
|
842 |
+
"eval_loss": 5.779796123504639,
|
843 |
+
"eval_nf_loss": 4.067526817321777,
|
844 |
+
"eval_perplexity": 5.880522727966309,
|
845 |
+
"eval_runtime": 641.0411,
|
846 |
+
"eval_samples_per_second": 20.854,
|
847 |
+
"eval_steps_per_second": 2.607,
|
848 |
+
"step": 120000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.7,
|
852 |
+
"gate_score": 0.0425,
|
853 |
+
"learning_rate": 3.297446982862148e-05,
|
854 |
+
"loss": 5.907,
|
855 |
+
"nf_loss": 4.8253,
|
856 |
+
"ppl": 3.2734,
|
857 |
+
"step": 122000
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 1.73,
|
861 |
+
"gate_score": 0.0432,
|
862 |
+
"learning_rate": 3.2268045606747765e-05,
|
863 |
+
"loss": 5.7937,
|
864 |
+
"nf_loss": 4.7167,
|
865 |
+
"ppl": 3.2463,
|
866 |
+
"step": 124000
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 1.73,
|
870 |
+
"eval_loss": 5.693485260009766,
|
871 |
+
"eval_nf_loss": 3.997667074203491,
|
872 |
+
"eval_perplexity": 5.778055667877197,
|
873 |
+
"eval_runtime": 629.6888,
|
874 |
+
"eval_samples_per_second": 21.23,
|
875 |
+
"eval_steps_per_second": 2.654,
|
876 |
+
"step": 124000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 1.76,
|
880 |
+
"gate_score": 0.0413,
|
881 |
+
"learning_rate": 3.156197459698498e-05,
|
882 |
+
"loss": 5.6708,
|
883 |
+
"nf_loss": 4.5839,
|
884 |
+
"ppl": 3.2695,
|
885 |
+
"step": 126000
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 1.78,
|
889 |
+
"gate_score": 0.0423,
|
890 |
+
"learning_rate": 3.08559035872222e-05,
|
891 |
+
"loss": 5.5759,
|
892 |
+
"nf_loss": 4.5071,
|
893 |
+
"ppl": 3.2127,
|
894 |
+
"step": 128000
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 1.78,
|
898 |
+
"eval_loss": 5.489774227142334,
|
899 |
+
"eval_nf_loss": 3.8035385608673096,
|
900 |
+
"eval_perplexity": 5.725496292114258,
|
901 |
+
"eval_runtime": 629.3114,
|
902 |
+
"eval_samples_per_second": 21.242,
|
903 |
+
"eval_steps_per_second": 2.655,
|
904 |
+
"step": 128000
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 1.81,
|
908 |
+
"gate_score": 0.0415,
|
909 |
+
"learning_rate": 3.0149832577459418e-05,
|
910 |
+
"loss": 5.4762,
|
911 |
+
"nf_loss": 4.4182,
|
912 |
+
"ppl": 3.189,
|
913 |
+
"step": 130000
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 1.84,
|
917 |
+
"gate_score": 0.043,
|
918 |
+
"learning_rate": 2.9443761567696637e-05,
|
919 |
+
"loss": 5.4304,
|
920 |
+
"nf_loss": 4.3627,
|
921 |
+
"ppl": 3.2132,
|
922 |
+
"step": 132000
|
923 |
+
},
|
924 |
+
{
|
925 |
+
"epoch": 1.84,
|
926 |
+
"eval_loss": 5.458424091339111,
|
927 |
+
"eval_nf_loss": 3.7697036266326904,
|
928 |
+
"eval_perplexity": 5.744439125061035,
|
929 |
+
"eval_runtime": 641.9111,
|
930 |
+
"eval_samples_per_second": 20.825,
|
931 |
+
"eval_steps_per_second": 2.603,
|
932 |
+
"step": 132000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.87,
|
936 |
+
"gate_score": 0.0438,
|
937 |
+
"learning_rate": 2.8737337345822913e-05,
|
938 |
+
"loss": 5.3504,
|
939 |
+
"nf_loss": 4.2998,
|
940 |
+
"ppl": 3.1531,
|
941 |
+
"step": 134000
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.89,
|
945 |
+
"gate_score": 0.0429,
|
946 |
+
"learning_rate": 2.803126633606013e-05,
|
947 |
+
"loss": 5.2695,
|
948 |
+
"nf_loss": 4.2383,
|
949 |
+
"ppl": 3.0881,
|
950 |
+
"step": 136000
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.89,
|
954 |
+
"eval_loss": 5.256904125213623,
|
955 |
+
"eval_nf_loss": 3.5766844749450684,
|
956 |
+
"eval_perplexity": 5.6950812339782715,
|
957 |
+
"eval_runtime": 660.429,
|
958 |
+
"eval_samples_per_second": 20.241,
|
959 |
+
"eval_steps_per_second": 2.53,
|
960 |
+
"step": 136000
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 1.92,
|
964 |
+
"gate_score": 0.0421,
|
965 |
+
"learning_rate": 2.7324842114186412e-05,
|
966 |
+
"loss": 5.2219,
|
967 |
+
"nf_loss": 4.1712,
|
968 |
+
"ppl": 3.1497,
|
969 |
+
"step": 138000
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.95,
|
973 |
+
"gate_score": 0.0417,
|
974 |
+
"learning_rate": 2.661877110442363e-05,
|
975 |
+
"loss": 5.1817,
|
976 |
+
"nf_loss": 4.1256,
|
977 |
+
"ppl": 3.1777,
|
978 |
+
"step": 140000
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 1.95,
|
982 |
+
"eval_loss": 5.158201217651367,
|
983 |
+
"eval_nf_loss": 3.487734794616699,
|
984 |
+
"eval_perplexity": 5.636016845703125,
|
985 |
+
"eval_runtime": 644.0563,
|
986 |
+
"eval_samples_per_second": 20.756,
|
987 |
+
"eval_steps_per_second": 2.594,
|
988 |
+
"step": 140000
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 1.98,
|
992 |
+
"gate_score": 0.0422,
|
993 |
+
"learning_rate": 2.5913053306771785e-05,
|
994 |
+
"loss": 5.1108,
|
995 |
+
"nf_loss": 4.0728,
|
996 |
+
"ppl": 3.1163,
|
997 |
+
"step": 142000
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 2.01,
|
1001 |
+
"gate_score": 0.0402,
|
1002 |
+
"learning_rate": 2.5206982297009e-05,
|
1003 |
+
"loss": 5.0219,
|
1004 |
+
"nf_loss": 4.0038,
|
1005 |
+
"ppl": 3.0436,
|
1006 |
+
"step": 144000
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 2.01,
|
1010 |
+
"eval_loss": 5.062300205230713,
|
1011 |
+
"eval_nf_loss": 3.3892769813537598,
|
1012 |
+
"eval_perplexity": 5.655203819274902,
|
1013 |
+
"eval_runtime": 654.7044,
|
1014 |
+
"eval_samples_per_second": 20.418,
|
1015 |
+
"eval_steps_per_second": 2.552,
|
1016 |
+
"step": 144000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 2.03,
|
1020 |
+
"gate_score": 0.0407,
|
1021 |
+
"learning_rate": 2.4500558075135284e-05,
|
1022 |
+
"loss": 4.8922,
|
1023 |
+
"nf_loss": 3.9548,
|
1024 |
+
"ppl": 2.775,
|
1025 |
+
"step": 146000
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 2.06,
|
1029 |
+
"gate_score": 0.0409,
|
1030 |
+
"learning_rate": 2.379413385326156e-05,
|
1031 |
+
"loss": 4.8179,
|
1032 |
+
"nf_loss": 3.8903,
|
1033 |
+
"ppl": 2.7374,
|
1034 |
+
"step": 148000
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 2.06,
|
1038 |
+
"eval_loss": 4.891648769378662,
|
1039 |
+
"eval_nf_loss": 3.21927547454834,
|
1040 |
+
"eval_perplexity": 5.654395580291748,
|
1041 |
+
"eval_runtime": 649.5705,
|
1042 |
+
"eval_samples_per_second": 20.58,
|
1043 |
+
"eval_steps_per_second": 2.572,
|
1044 |
+
"step": 148000
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 2.09,
|
1048 |
+
"gate_score": 0.0431,
|
1049 |
+
"learning_rate": 2.308806284349878e-05,
|
1050 |
+
"loss": 4.7494,
|
1051 |
+
"nf_loss": 3.8238,
|
1052 |
+
"ppl": 2.7455,
|
1053 |
+
"step": 150000
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 2.12,
|
1057 |
+
"gate_score": 0.0424,
|
1058 |
+
"learning_rate": 2.2381991833735996e-05,
|
1059 |
+
"loss": 4.7155,
|
1060 |
+
"nf_loss": 3.7946,
|
1061 |
+
"ppl": 2.7302,
|
1062 |
+
"step": 152000
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 2.12,
|
1066 |
+
"eval_loss": 4.806872844696045,
|
1067 |
+
"eval_nf_loss": 3.148994207382202,
|
1068 |
+
"eval_perplexity": 5.567600250244141,
|
1069 |
+
"eval_runtime": 630.6434,
|
1070 |
+
"eval_samples_per_second": 21.197,
|
1071 |
+
"eval_steps_per_second": 2.65,
|
1072 |
+
"step": 152000
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 2.15,
|
1076 |
+
"gate_score": 0.0408,
|
1077 |
+
"learning_rate": 2.1675567611862275e-05,
|
1078 |
+
"loss": 4.6944,
|
1079 |
+
"nf_loss": 3.7643,
|
1080 |
+
"ppl": 2.7512,
|
1081 |
+
"step": 154000
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 2.17,
|
1085 |
+
"gate_score": 0.0426,
|
1086 |
+
"learning_rate": 2.0969496602099495e-05,
|
1087 |
+
"loss": 4.6805,
|
1088 |
+
"nf_loss": 3.7557,
|
1089 |
+
"ppl": 2.7415,
|
1090 |
+
"step": 156000
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 2.17,
|
1094 |
+
"eval_loss": 4.722836494445801,
|
1095 |
+
"eval_nf_loss": 3.066758632659912,
|
1096 |
+
"eval_perplexity": 5.557853698730469,
|
1097 |
+
"eval_runtime": 604.3797,
|
1098 |
+
"eval_samples_per_second": 22.119,
|
1099 |
+
"eval_steps_per_second": 2.765,
|
1100 |
+
"step": 156000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 2.2,
|
1104 |
+
"gate_score": 0.0438,
|
1105 |
+
"learning_rate": 2.026342559233671e-05,
|
1106 |
+
"loss": 4.5943,
|
1107 |
+
"nf_loss": 3.6721,
|
1108 |
+
"ppl": 2.722,
|
1109 |
+
"step": 158000
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 2.23,
|
1113 |
+
"gate_score": 0.0447,
|
1114 |
+
"learning_rate": 1.9557354582573927e-05,
|
1115 |
+
"loss": 4.5781,
|
1116 |
+
"nf_loss": 3.6564,
|
1117 |
+
"ppl": 2.728,
|
1118 |
+
"step": 160000
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.23,
|
1122 |
+
"eval_loss": 4.671295166015625,
|
1123 |
+
"eval_nf_loss": 3.0203938484191895,
|
1124 |
+
"eval_perplexity": 5.526300430297852,
|
1125 |
+
"eval_runtime": 604.9582,
|
1126 |
+
"eval_samples_per_second": 22.097,
|
1127 |
+
"eval_steps_per_second": 2.762,
|
1128 |
+
"step": 160000
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 2.26,
|
1132 |
+
"gate_score": 0.0436,
|
1133 |
+
"learning_rate": 1.8851283572811147e-05,
|
1134 |
+
"loss": 4.5642,
|
1135 |
+
"nf_loss": 3.6404,
|
1136 |
+
"ppl": 2.7413,
|
1137 |
+
"step": 162000
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 2.28,
|
1141 |
+
"gate_score": 0.0453,
|
1142 |
+
"learning_rate": 1.8144859350937426e-05,
|
1143 |
+
"loss": 4.4834,
|
1144 |
+
"nf_loss": 3.5645,
|
1145 |
+
"ppl": 2.7145,
|
1146 |
+
"step": 164000
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 2.28,
|
1150 |
+
"eval_loss": 4.710845947265625,
|
1151 |
+
"eval_nf_loss": 3.063795566558838,
|
1152 |
+
"eval_perplexity": 5.505098342895508,
|
1153 |
+
"eval_runtime": 601.1865,
|
1154 |
+
"eval_samples_per_second": 22.236,
|
1155 |
+
"eval_steps_per_second": 2.78,
|
1156 |
+
"step": 164000
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 2.31,
|
1160 |
+
"gate_score": 0.0442,
|
1161 |
+
"learning_rate": 1.7438788341174643e-05,
|
1162 |
+
"loss": 4.4998,
|
1163 |
+
"nf_loss": 3.5735,
|
1164 |
+
"ppl": 2.7361,
|
1165 |
+
"step": 166000
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 2.34,
|
1169 |
+
"gate_score": 0.0442,
|
1170 |
+
"learning_rate": 1.6733070543522796e-05,
|
1171 |
+
"loss": 4.4172,
|
1172 |
+
"nf_loss": 3.4989,
|
1173 |
+
"ppl": 2.7118,
|
1174 |
+
"step": 168000
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 2.34,
|
1178 |
+
"eval_loss": 4.5222930908203125,
|
1179 |
+
"eval_nf_loss": 2.8794257640838623,
|
1180 |
+
"eval_perplexity": 5.477485179901123,
|
1181 |
+
"eval_runtime": 609.6448,
|
1182 |
+
"eval_samples_per_second": 21.928,
|
1183 |
+
"eval_steps_per_second": 2.741,
|
1184 |
+
"step": 168000
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 2.37,
|
1188 |
+
"gate_score": 0.0464,
|
1189 |
+
"learning_rate": 1.602664632164908e-05,
|
1190 |
+
"loss": 4.3817,
|
1191 |
+
"nf_loss": 3.4671,
|
1192 |
+
"ppl": 2.7031,
|
1193 |
+
"step": 170000
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 2.4,
|
1197 |
+
"gate_score": 0.0447,
|
1198 |
+
"learning_rate": 1.5320575311886295e-05,
|
1199 |
+
"loss": 4.3776,
|
1200 |
+
"nf_loss": 3.4701,
|
1201 |
+
"ppl": 2.6834,
|
1202 |
+
"step": 172000
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.4,
|
1206 |
+
"eval_loss": 4.446962356567383,
|
1207 |
+
"eval_nf_loss": 2.8145503997802734,
|
1208 |
+
"eval_perplexity": 5.419012546539307,
|
1209 |
+
"eval_runtime": 591.7923,
|
1210 |
+
"eval_samples_per_second": 22.589,
|
1211 |
+
"eval_steps_per_second": 2.824,
|
1212 |
+
"step": 172000
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 2.42,
|
1216 |
+
"gate_score": 0.0438,
|
1217 |
+
"learning_rate": 1.4614151090012576e-05,
|
1218 |
+
"loss": 4.34,
|
1219 |
+
"nf_loss": 3.4303,
|
1220 |
+
"ppl": 2.6917,
|
1221 |
+
"step": 174000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 2.45,
|
1225 |
+
"gate_score": 0.0433,
|
1226 |
+
"learning_rate": 1.390808008024979e-05,
|
1227 |
+
"loss": 4.3096,
|
1228 |
+
"nf_loss": 3.4,
|
1229 |
+
"ppl": 2.6915,
|
1230 |
+
"step": 176000
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 2.45,
|
1234 |
+
"eval_loss": 4.412790298461914,
|
1235 |
+
"eval_nf_loss": 2.7833149433135986,
|
1236 |
+
"eval_perplexity": 5.404773712158203,
|
1237 |
+
"eval_runtime": 593.2765,
|
1238 |
+
"eval_samples_per_second": 22.532,
|
1239 |
+
"eval_steps_per_second": 2.817,
|
1240 |
+
"step": 176000
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 2.48,
|
1244 |
+
"gate_score": 0.0449,
|
1245 |
+
"learning_rate": 1.3201655858376072e-05,
|
1246 |
+
"loss": 4.289,
|
1247 |
+
"nf_loss": 3.3752,
|
1248 |
+
"ppl": 2.7063,
|
1249 |
+
"step": 178000
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 2.51,
|
1253 |
+
"gate_score": 0.0431,
|
1254 |
+
"learning_rate": 1.2495938060724226e-05,
|
1255 |
+
"loss": 4.2453,
|
1256 |
+
"nf_loss": 3.3433,
|
1257 |
+
"ppl": 2.6679,
|
1258 |
+
"step": 180000
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 2.51,
|
1262 |
+
"eval_loss": 4.363792896270752,
|
1263 |
+
"eval_nf_loss": 2.7436203956604004,
|
1264 |
+
"eval_perplexity": 5.350350856781006,
|
1265 |
+
"eval_runtime": 592.6812,
|
1266 |
+
"eval_samples_per_second": 22.555,
|
1267 |
+
"eval_steps_per_second": 2.819,
|
1268 |
+
"step": 180000
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 2.54,
|
1272 |
+
"gate_score": 0.0444,
|
1273 |
+
"learning_rate": 1.1789867050961444e-05,
|
1274 |
+
"loss": 4.1812,
|
1275 |
+
"nf_loss": 3.2773,
|
1276 |
+
"ppl": 2.6769,
|
1277 |
+
"step": 182000
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 2.56,
|
1281 |
+
"gate_score": 0.0439,
|
1282 |
+
"learning_rate": 1.1083442829087724e-05,
|
1283 |
+
"loss": 4.2063,
|
1284 |
+
"nf_loss": 3.3076,
|
1285 |
+
"ppl": 2.6592,
|
1286 |
+
"step": 184000
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.56,
|
1290 |
+
"eval_loss": 4.401766777038574,
|
1291 |
+
"eval_nf_loss": 2.7845916748046875,
|
1292 |
+
"eval_perplexity": 5.334909915924072,
|
1293 |
+
"eval_runtime": 593.569,
|
1294 |
+
"eval_samples_per_second": 22.521,
|
1295 |
+
"eval_steps_per_second": 2.815,
|
1296 |
+
"step": 184000
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 2.59,
|
1300 |
+
"gate_score": 0.0435,
|
1301 |
+
"learning_rate": 1.0377371819324942e-05,
|
1302 |
+
"loss": 4.1697,
|
1303 |
+
"nf_loss": 3.2627,
|
1304 |
+
"ppl": 2.6781,
|
1305 |
+
"step": 186000
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 2.62,
|
1309 |
+
"gate_score": 0.0455,
|
1310 |
+
"learning_rate": 9.67130080956216e-06,
|
1311 |
+
"loss": 4.1413,
|
1312 |
+
"nf_loss": 3.2508,
|
1313 |
+
"ppl": 2.6383,
|
1314 |
+
"step": 188000
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 2.62,
|
1318 |
+
"eval_loss": 4.287137031555176,
|
1319 |
+
"eval_nf_loss": 2.6753435134887695,
|
1320 |
+
"eval_perplexity": 5.3036627769470215,
|
1321 |
+
"eval_runtime": 592.6474,
|
1322 |
+
"eval_samples_per_second": 22.556,
|
1323 |
+
"eval_steps_per_second": 2.82,
|
1324 |
+
"step": 188000
|
1325 |
+
},
|
1326 |
+
{
|
1327 |
+
"epoch": 2.65,
|
1328 |
+
"gate_score": 0.0438,
|
1329 |
+
"learning_rate": 8.964876587688439e-06,
|
1330 |
+
"loss": 4.1244,
|
1331 |
+
"nf_loss": 3.2269,
|
1332 |
+
"ppl": 2.6537,
|
1333 |
+
"step": 190000
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 2.67,
|
1337 |
+
"gate_score": 0.0446,
|
1338 |
+
"learning_rate": 8.258805577925655e-06,
|
1339 |
+
"loss": 4.0845,
|
1340 |
+
"nf_loss": 3.1966,
|
1341 |
+
"ppl": 2.6201,
|
1342 |
+
"step": 192000
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 2.67,
|
1346 |
+
"eval_loss": 4.247885704040527,
|
1347 |
+
"eval_nf_loss": 2.640995502471924,
|
1348 |
+
"eval_perplexity": 5.275094985961914,
|
1349 |
+
"eval_runtime": 591.9491,
|
1350 |
+
"eval_samples_per_second": 22.583,
|
1351 |
+
"eval_steps_per_second": 2.823,
|
1352 |
+
"step": 192000
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 2.7,
|
1356 |
+
"gate_score": 0.0445,
|
1357 |
+
"learning_rate": 7.552734568162874e-06,
|
1358 |
+
"loss": 4.0604,
|
1359 |
+
"nf_loss": 3.1769,
|
1360 |
+
"ppl": 2.6091,
|
1361 |
+
"step": 194000
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 2.73,
|
1365 |
+
"gate_score": 0.0433,
|
1366 |
+
"learning_rate": 6.846310346289154e-06,
|
1367 |
+
"loss": 4.06,
|
1368 |
+
"nf_loss": 3.1758,
|
1369 |
+
"ppl": 2.6114,
|
1370 |
+
"step": 196000
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.73,
|
1374 |
+
"eval_loss": 4.171822547912598,
|
1375 |
+
"eval_nf_loss": 2.567200183868408,
|
1376 |
+
"eval_perplexity": 5.264888763427734,
|
1377 |
+
"eval_runtime": 589.4312,
|
1378 |
+
"eval_samples_per_second": 22.679,
|
1379 |
+
"eval_steps_per_second": 2.835,
|
1380 |
+
"step": 196000
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 2.76,
|
1384 |
+
"gate_score": 0.0436,
|
1385 |
+
"learning_rate": 6.140239336526371e-06,
|
1386 |
+
"loss": 4.0426,
|
1387 |
+
"nf_loss": 3.1603,
|
1388 |
+
"ppl": 2.6136,
|
1389 |
+
"step": 198000
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 2.79,
|
1393 |
+
"gate_score": 0.0444,
|
1394 |
+
"learning_rate": 5.4338151146526515e-06,
|
1395 |
+
"loss": 4.0352,
|
1396 |
+
"nf_loss": 3.1654,
|
1397 |
+
"ppl": 2.5709,
|
1398 |
+
"step": 200000
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 2.79,
|
1402 |
+
"eval_loss": 4.141200542449951,
|
1403 |
+
"eval_nf_loss": 2.539963483810425,
|
1404 |
+
"eval_perplexity": 5.245651721954346,
|
1405 |
+
"eval_runtime": 622.9626,
|
1406 |
+
"eval_samples_per_second": 21.459,
|
1407 |
+
"eval_steps_per_second": 2.682,
|
1408 |
+
"step": 200000
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 2.81,
|
1412 |
+
"gate_score": 0.0442,
|
1413 |
+
"learning_rate": 4.727744104889869e-06,
|
1414 |
+
"loss": 3.9924,
|
1415 |
+
"nf_loss": 3.1183,
|
1416 |
+
"ppl": 2.5982,
|
1417 |
+
"step": 202000
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 2.84,
|
1421 |
+
"gate_score": 0.0437,
|
1422 |
+
"learning_rate": 4.021673095127087e-06,
|
1423 |
+
"loss": 3.982,
|
1424 |
+
"nf_loss": 3.0969,
|
1425 |
+
"ppl": 2.6167,
|
1426 |
+
"step": 204000
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 2.84,
|
1430 |
+
"eval_loss": 4.099726676940918,
|
1431 |
+
"eval_nf_loss": 2.5044403076171875,
|
1432 |
+
"eval_perplexity": 5.212295055389404,
|
1433 |
+
"eval_runtime": 628.0641,
|
1434 |
+
"eval_samples_per_second": 21.284,
|
1435 |
+
"eval_steps_per_second": 2.661,
|
1436 |
+
"step": 204000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 2.87,
|
1440 |
+
"gate_score": 0.044,
|
1441 |
+
"learning_rate": 3.315248873253366e-06,
|
1442 |
+
"loss": 3.9519,
|
1443 |
+
"nf_loss": 3.0778,
|
1444 |
+
"ppl": 2.5849,
|
1445 |
+
"step": 206000
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 2.9,
|
1449 |
+
"gate_score": 0.0427,
|
1450 |
+
"learning_rate": 2.6091778634905835e-06,
|
1451 |
+
"loss": 3.9487,
|
1452 |
+
"nf_loss": 3.082,
|
1453 |
+
"ppl": 2.5664,
|
1454 |
+
"step": 208000
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 2.9,
|
1458 |
+
"eval_loss": 4.066439151763916,
|
1459 |
+
"eval_nf_loss": 2.474716901779175,
|
1460 |
+
"eval_perplexity": 5.1935272216796875,
|
1461 |
+
"eval_runtime": 625.0657,
|
1462 |
+
"eval_samples_per_second": 21.387,
|
1463 |
+
"eval_steps_per_second": 2.673,
|
1464 |
+
"step": 208000
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 2.93,
|
1468 |
+
"gate_score": 0.0425,
|
1469 |
+
"learning_rate": 1.9031068537278006e-06,
|
1470 |
+
"loss": 3.9389,
|
1471 |
+
"nf_loss": 3.0634,
|
1472 |
+
"ppl": 2.5914,
|
1473 |
+
"step": 210000
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 2.95,
|
1477 |
+
"gate_score": 0.0424,
|
1478 |
+
"learning_rate": 1.196682631854081e-06,
|
1479 |
+
"loss": 3.9603,
|
1480 |
+
"nf_loss": 3.0926,
|
1481 |
+
"ppl": 2.5703,
|
1482 |
+
"step": 212000
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 2.95,
|
1486 |
+
"eval_loss": 4.057208061218262,
|
1487 |
+
"eval_nf_loss": 2.4683539867401123,
|
1488 |
+
"eval_perplexity": 5.177720546722412,
|
1489 |
+
"eval_runtime": 618.2401,
|
1490 |
+
"eval_samples_per_second": 21.623,
|
1491 |
+
"eval_steps_per_second": 2.703,
|
1492 |
+
"step": 212000
|
1493 |
+
}
|
1494 |
+
],
|
1495 |
+
"max_steps": 215337,
|
1496 |
+
"num_train_epochs": 3,
|
1497 |
+
"total_flos": 2.1693560999113897e+18,
|
1498 |
+
"trial_name": null,
|
1499 |
+
"trial_params": null
|
1500 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|