voidful commited on
Commit
33f58b0
1 Parent(s): fe05743

init commit

Browse files
config.json ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-xlsr-53-espeak-cv-ft",
3
+ "activation_dropout": 0.0,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForCTC"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 768,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": true,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "mean",
45
+ "ctc_zero_infinity": false,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": true,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "layer",
52
+ "feat_proj_dropout": 0.1,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.0,
55
+ "gradient_checkpointing": false,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.1,
58
+ "hidden_size": 1024,
59
+ "initializer_range": 0.02,
60
+ "intermediate_size": 4096,
61
+ "layer_norm_eps": 1e-05,
62
+ "layerdrop": 0.1,
63
+ "mask_channel_length": 10,
64
+ "mask_channel_min_space": 1,
65
+ "mask_channel_other": 0.0,
66
+ "mask_channel_prob": 0.0,
67
+ "mask_channel_selection": "static",
68
+ "mask_feature_length": 10,
69
+ "mask_feature_min_masks": 0,
70
+ "mask_feature_prob": 0.0,
71
+ "mask_time_length": 10,
72
+ "mask_time_min_masks": 2,
73
+ "mask_time_min_space": 1,
74
+ "mask_time_other": 0.0,
75
+ "mask_time_prob": 0.075,
76
+ "mask_time_selection": "static",
77
+ "model_type": "wav2vec2",
78
+ "num_adapter_layers": 3,
79
+ "num_attention_heads": 16,
80
+ "num_codevector_groups": 2,
81
+ "num_codevectors_per_group": 320,
82
+ "num_conv_pos_embedding_groups": 16,
83
+ "num_conv_pos_embeddings": 128,
84
+ "num_feat_extract_layers": 7,
85
+ "num_hidden_layers": 24,
86
+ "num_negatives": 100,
87
+ "output_hidden_size": 1024,
88
+ "pad_token_id": 0,
89
+ "proj_codevector_dim": 768,
90
+ "tdnn_dilation": [
91
+ 1,
92
+ 2,
93
+ 3,
94
+ 1,
95
+ 1
96
+ ],
97
+ "tdnn_dim": [
98
+ 512,
99
+ 512,
100
+ 512,
101
+ 512,
102
+ 1500
103
+ ],
104
+ "tdnn_kernel": [
105
+ 5,
106
+ 3,
107
+ 3,
108
+ 1,
109
+ 1
110
+ ],
111
+ "torch_dtype": "float32",
112
+ "transformers_version": "4.18.0",
113
+ "use_weighted_layer_sum": false,
114
+ "vocab_size": 392,
115
+ "xvector_output_dim": 512
116
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72c454d705307858a64501b4f3a2ff951c5bcc69988e28a321278d83ffc8821f
3
+ size 2526970977
preprocessor_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "processor_class": "Wav2Vec2Processor",
8
+ "return_attention_mask": true,
9
+ "sampling_rate": 16000
10
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:913b32dd39aa285c85539b7204a6c6fa0095ed7c0119a4813a63915d9f0d0987
3
+ size 1263505905
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ab2d87dbfe0578659f3eb0d2fa7d82725e633973524a5b1084e84fa711bfd9b
3
+ size 16607
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7eb683c2463b79fd5fe01c07aca28a71e50a471eca615f5459c9c813160a5d3c
3
+ size 559
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e99c9a35af79b7bf9789cdf16efad705b985669a66da18f1a3f77aade805a3b8
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "phonemizer_lang": "en-us", "phonemizer_backend": "espeak", "special_tokens_map_file": "../wav2vec2-xlsr-53-espeak-cv-ft/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "facebook/wav2vec2-xlsr-53-espeak-cv-ft", "tokenizer_class": "Wav2Vec2CTCTokenizer", "processor_class": "Wav2Vec2Processor"}
trainer_state.json ADDED
@@ -0,0 +1,3266 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.0955534353852272,
3
+ "best_model_checkpoint": "facebook/wav2vec2-xlsr-53-espeak-cv-ft-clean/checkpoint-4000",
4
+ "epoch": 7.680945347119645,
5
+ "global_step": 5200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 1.6380000000000002e-05,
13
+ "loss": 1.8358,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 3.978e-05,
19
+ "loss": 1.5868,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.04,
24
+ "learning_rate": 6.318e-05,
25
+ "loss": 1.4356,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 8.658e-05,
31
+ "loss": 1.2539,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.07,
36
+ "learning_rate": 0.00010997999999999999,
37
+ "loss": 1.2239,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "learning_rate": 0.00013337999999999997,
43
+ "loss": 0.966,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.1,
48
+ "learning_rate": 0.00015678,
49
+ "loss": 0.9195,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.12,
54
+ "learning_rate": 0.00018018,
55
+ "loss": 0.744,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.13,
60
+ "learning_rate": 0.00020358,
61
+ "loss": 0.6638,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.15,
66
+ "learning_rate": 0.00022698,
67
+ "loss": 0.6554,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.16,
72
+ "learning_rate": 0.00023395957551826258,
73
+ "loss": 0.5807,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.18,
78
+ "learning_rate": 0.00023390182625863772,
79
+ "loss": 0.4771,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.19,
84
+ "learning_rate": 0.00023384407699901283,
85
+ "loss": 0.4634,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.21,
90
+ "learning_rate": 0.00023378632773938794,
91
+ "loss": 0.5991,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.22,
96
+ "learning_rate": 0.00023372857847976308,
97
+ "loss": 0.5512,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.24,
102
+ "learning_rate": 0.0002336708292201382,
103
+ "loss": 0.4616,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.25,
108
+ "learning_rate": 0.0002336130799605133,
109
+ "loss": 0.4028,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.27,
114
+ "learning_rate": 0.00023355533070088845,
115
+ "loss": 0.386,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.28,
120
+ "learning_rate": 0.00023349758144126356,
121
+ "loss": 0.3513,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.3,
126
+ "learning_rate": 0.00023343983218163868,
127
+ "loss": 0.4561,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.31,
132
+ "learning_rate": 0.00023338208292201382,
133
+ "loss": 0.3157,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.32,
138
+ "learning_rate": 0.00023332433366238893,
139
+ "loss": 0.2983,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.34,
144
+ "learning_rate": 0.00023326658440276404,
145
+ "loss": 0.3078,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.35,
150
+ "learning_rate": 0.00023320883514313918,
151
+ "loss": 0.3487,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.37,
156
+ "learning_rate": 0.0002331510858835143,
157
+ "loss": 0.4429,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.38,
162
+ "learning_rate": 0.0002330933366238894,
163
+ "loss": 0.3194,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.4,
168
+ "learning_rate": 0.00023303558736426457,
169
+ "loss": 0.3121,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.41,
174
+ "learning_rate": 0.0002329778381046397,
175
+ "loss": 0.3229,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.43,
180
+ "learning_rate": 0.00023292008884501483,
181
+ "loss": 0.317,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.44,
186
+ "learning_rate": 0.00023286233958538994,
187
+ "loss": 0.3877,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.46,
192
+ "learning_rate": 0.00023280459032576505,
193
+ "loss": 0.2582,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.47,
198
+ "learning_rate": 0.0002327468410661402,
199
+ "loss": 0.2814,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.49,
204
+ "learning_rate": 0.0002326890918065153,
205
+ "loss": 0.2822,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.5,
210
+ "learning_rate": 0.00023263134254689042,
211
+ "loss": 0.3077,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.52,
216
+ "learning_rate": 0.00023257359328726556,
217
+ "loss": 0.3531,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.53,
222
+ "learning_rate": 0.00023251584402764067,
223
+ "loss": 0.272,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.55,
228
+ "learning_rate": 0.00023245809476801578,
229
+ "loss": 0.3182,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.56,
234
+ "learning_rate": 0.00023240034550839092,
235
+ "loss": 0.2482,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.58,
240
+ "learning_rate": 0.00023234259624876604,
241
+ "loss": 0.2565,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.59,
246
+ "learning_rate": 0.00023228484698914115,
247
+ "loss": 0.3474,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.59,
252
+ "eval_cer": 0.20053818094839443,
253
+ "eval_loss": 0.12517954409122467,
254
+ "eval_runtime": 167.3283,
255
+ "eval_samples_per_second": 14.23,
256
+ "eval_steps_per_second": 0.478,
257
+ "eval_wer": 0.996220075598488,
258
+ "step": 400
259
+ },
260
+ {
261
+ "epoch": 0.61,
262
+ "learning_rate": 0.0002322270977295163,
263
+ "loss": 0.2553,
264
+ "step": 410
265
+ },
266
+ {
267
+ "epoch": 0.62,
268
+ "learning_rate": 0.0002321693484698914,
269
+ "loss": 0.29,
270
+ "step": 420
271
+ },
272
+ {
273
+ "epoch": 0.64,
274
+ "learning_rate": 0.00023211159921026654,
275
+ "loss": 0.2583,
276
+ "step": 430
277
+ },
278
+ {
279
+ "epoch": 0.65,
280
+ "learning_rate": 0.00023205384995064166,
281
+ "loss": 0.2701,
282
+ "step": 440
283
+ },
284
+ {
285
+ "epoch": 0.66,
286
+ "learning_rate": 0.00023199610069101677,
287
+ "loss": 0.3269,
288
+ "step": 450
289
+ },
290
+ {
291
+ "epoch": 0.68,
292
+ "learning_rate": 0.0002319383514313919,
293
+ "loss": 0.256,
294
+ "step": 460
295
+ },
296
+ {
297
+ "epoch": 0.69,
298
+ "learning_rate": 0.00023188060217176702,
299
+ "loss": 0.277,
300
+ "step": 470
301
+ },
302
+ {
303
+ "epoch": 0.71,
304
+ "learning_rate": 0.00023182285291214214,
305
+ "loss": 0.2547,
306
+ "step": 480
307
+ },
308
+ {
309
+ "epoch": 0.72,
310
+ "learning_rate": 0.00023176510365251728,
311
+ "loss": 0.2853,
312
+ "step": 490
313
+ },
314
+ {
315
+ "epoch": 0.74,
316
+ "learning_rate": 0.0002317073543928924,
317
+ "loss": 0.3382,
318
+ "step": 500
319
+ },
320
+ {
321
+ "epoch": 0.75,
322
+ "learning_rate": 0.0002316496051332675,
323
+ "loss": 0.2393,
324
+ "step": 510
325
+ },
326
+ {
327
+ "epoch": 0.77,
328
+ "learning_rate": 0.00023159185587364264,
329
+ "loss": 0.2374,
330
+ "step": 520
331
+ },
332
+ {
333
+ "epoch": 0.78,
334
+ "learning_rate": 0.00023153410661401775,
335
+ "loss": 0.2067,
336
+ "step": 530
337
+ },
338
+ {
339
+ "epoch": 0.8,
340
+ "learning_rate": 0.00023147635735439287,
341
+ "loss": 0.268,
342
+ "step": 540
343
+ },
344
+ {
345
+ "epoch": 0.81,
346
+ "learning_rate": 0.000231418608094768,
347
+ "loss": 0.3156,
348
+ "step": 550
349
+ },
350
+ {
351
+ "epoch": 0.83,
352
+ "learning_rate": 0.00023136085883514312,
353
+ "loss": 0.223,
354
+ "step": 560
355
+ },
356
+ {
357
+ "epoch": 0.84,
358
+ "learning_rate": 0.00023130310957551823,
359
+ "loss": 0.2374,
360
+ "step": 570
361
+ },
362
+ {
363
+ "epoch": 0.86,
364
+ "learning_rate": 0.0002312453603158934,
365
+ "loss": 0.2144,
366
+ "step": 580
367
+ },
368
+ {
369
+ "epoch": 0.87,
370
+ "learning_rate": 0.0002311876110562685,
371
+ "loss": 0.2324,
372
+ "step": 590
373
+ },
374
+ {
375
+ "epoch": 0.89,
376
+ "learning_rate": 0.00023112986179664365,
377
+ "loss": 0.3466,
378
+ "step": 600
379
+ },
380
+ {
381
+ "epoch": 0.9,
382
+ "learning_rate": 0.00023107211253701877,
383
+ "loss": 0.2559,
384
+ "step": 610
385
+ },
386
+ {
387
+ "epoch": 0.92,
388
+ "learning_rate": 0.00023101436327739388,
389
+ "loss": 0.2261,
390
+ "step": 620
391
+ },
392
+ {
393
+ "epoch": 0.93,
394
+ "learning_rate": 0.00023095661401776902,
395
+ "loss": 0.2305,
396
+ "step": 630
397
+ },
398
+ {
399
+ "epoch": 0.95,
400
+ "learning_rate": 0.00023089886475814413,
401
+ "loss": 0.2357,
402
+ "step": 640
403
+ },
404
+ {
405
+ "epoch": 0.96,
406
+ "learning_rate": 0.00023084111549851924,
407
+ "loss": 0.356,
408
+ "step": 650
409
+ },
410
+ {
411
+ "epoch": 0.97,
412
+ "learning_rate": 0.00023078336623889438,
413
+ "loss": 0.2131,
414
+ "step": 660
415
+ },
416
+ {
417
+ "epoch": 0.99,
418
+ "learning_rate": 0.0002307256169792695,
419
+ "loss": 0.2462,
420
+ "step": 670
421
+ },
422
+ {
423
+ "epoch": 1.0,
424
+ "learning_rate": 0.0002306678677196446,
425
+ "loss": 0.2411,
426
+ "step": 680
427
+ },
428
+ {
429
+ "epoch": 1.02,
430
+ "learning_rate": 0.00023061011846001975,
431
+ "loss": 0.209,
432
+ "step": 690
433
+ },
434
+ {
435
+ "epoch": 1.03,
436
+ "learning_rate": 0.00023055236920039486,
437
+ "loss": 0.1952,
438
+ "step": 700
439
+ },
440
+ {
441
+ "epoch": 1.05,
442
+ "learning_rate": 0.00023049461994076998,
443
+ "loss": 0.1918,
444
+ "step": 710
445
+ },
446
+ {
447
+ "epoch": 1.06,
448
+ "learning_rate": 0.00023043687068114512,
449
+ "loss": 0.2332,
450
+ "step": 720
451
+ },
452
+ {
453
+ "epoch": 1.08,
454
+ "learning_rate": 0.00023037912142152023,
455
+ "loss": 0.2301,
456
+ "step": 730
457
+ },
458
+ {
459
+ "epoch": 1.09,
460
+ "learning_rate": 0.00023032137216189537,
461
+ "loss": 0.2231,
462
+ "step": 740
463
+ },
464
+ {
465
+ "epoch": 1.11,
466
+ "learning_rate": 0.00023026362290227048,
467
+ "loss": 0.2176,
468
+ "step": 750
469
+ },
470
+ {
471
+ "epoch": 1.12,
472
+ "learning_rate": 0.0002302058736426456,
473
+ "loss": 0.1718,
474
+ "step": 760
475
+ },
476
+ {
477
+ "epoch": 1.14,
478
+ "learning_rate": 0.00023014812438302074,
479
+ "loss": 0.213,
480
+ "step": 770
481
+ },
482
+ {
483
+ "epoch": 1.15,
484
+ "learning_rate": 0.00023009037512339585,
485
+ "loss": 0.2865,
486
+ "step": 780
487
+ },
488
+ {
489
+ "epoch": 1.17,
490
+ "learning_rate": 0.00023003262586377096,
491
+ "loss": 0.2347,
492
+ "step": 790
493
+ },
494
+ {
495
+ "epoch": 1.18,
496
+ "learning_rate": 0.0002299748766041461,
497
+ "loss": 0.2116,
498
+ "step": 800
499
+ },
500
+ {
501
+ "epoch": 1.18,
502
+ "eval_cer": 0.16925790827004725,
503
+ "eval_loss": 0.10652817785739899,
504
+ "eval_runtime": 166.4912,
505
+ "eval_samples_per_second": 14.301,
506
+ "eval_steps_per_second": 0.481,
507
+ "eval_wer": 0.9886602267954641,
508
+ "step": 800
509
+ },
510
+ {
511
+ "epoch": 1.2,
512
+ "learning_rate": 0.0002299229022704837,
513
+ "loss": 0.1885,
514
+ "step": 810
515
+ },
516
+ {
517
+ "epoch": 1.21,
518
+ "learning_rate": 0.00022986515301085883,
519
+ "loss": 0.1934,
520
+ "step": 820
521
+ },
522
+ {
523
+ "epoch": 1.23,
524
+ "learning_rate": 0.00022980740375123395,
525
+ "loss": 0.305,
526
+ "step": 830
527
+ },
528
+ {
529
+ "epoch": 1.24,
530
+ "learning_rate": 0.00022974965449160906,
531
+ "loss": 0.2144,
532
+ "step": 840
533
+ },
534
+ {
535
+ "epoch": 1.26,
536
+ "learning_rate": 0.0002296919052319842,
537
+ "loss": 0.2157,
538
+ "step": 850
539
+ },
540
+ {
541
+ "epoch": 1.27,
542
+ "learning_rate": 0.0002296341559723593,
543
+ "loss": 0.2149,
544
+ "step": 860
545
+ },
546
+ {
547
+ "epoch": 1.29,
548
+ "learning_rate": 0.00022957640671273443,
549
+ "loss": 0.2186,
550
+ "step": 870
551
+ },
552
+ {
553
+ "epoch": 1.3,
554
+ "learning_rate": 0.00022951865745310957,
555
+ "loss": 0.2686,
556
+ "step": 880
557
+ },
558
+ {
559
+ "epoch": 1.31,
560
+ "learning_rate": 0.00022946668311944716,
561
+ "loss": 0.2136,
562
+ "step": 890
563
+ },
564
+ {
565
+ "epoch": 1.33,
566
+ "learning_rate": 0.00022940893385982233,
567
+ "loss": 0.1865,
568
+ "step": 900
569
+ },
570
+ {
571
+ "epoch": 1.34,
572
+ "learning_rate": 0.00022935118460019744,
573
+ "loss": 0.1724,
574
+ "step": 910
575
+ },
576
+ {
577
+ "epoch": 1.36,
578
+ "learning_rate": 0.00022929343534057255,
579
+ "loss": 0.1752,
580
+ "step": 920
581
+ },
582
+ {
583
+ "epoch": 1.37,
584
+ "learning_rate": 0.0002292356860809477,
585
+ "loss": 0.2561,
586
+ "step": 930
587
+ },
588
+ {
589
+ "epoch": 1.39,
590
+ "learning_rate": 0.0002291779368213228,
591
+ "loss": 0.1831,
592
+ "step": 940
593
+ },
594
+ {
595
+ "epoch": 1.4,
596
+ "learning_rate": 0.00022912018756169792,
597
+ "loss": 0.1773,
598
+ "step": 950
599
+ },
600
+ {
601
+ "epoch": 1.42,
602
+ "learning_rate": 0.00022906243830207306,
603
+ "loss": 0.1994,
604
+ "step": 960
605
+ },
606
+ {
607
+ "epoch": 1.43,
608
+ "learning_rate": 0.00022900468904244817,
609
+ "loss": 0.1943,
610
+ "step": 970
611
+ },
612
+ {
613
+ "epoch": 1.45,
614
+ "learning_rate": 0.0002289469397828233,
615
+ "loss": 0.27,
616
+ "step": 980
617
+ },
618
+ {
619
+ "epoch": 1.46,
620
+ "learning_rate": 0.00022888919052319842,
621
+ "loss": 0.1959,
622
+ "step": 990
623
+ },
624
+ {
625
+ "epoch": 1.48,
626
+ "learning_rate": 0.00022883144126357354,
627
+ "loss": 0.1822,
628
+ "step": 1000
629
+ },
630
+ {
631
+ "epoch": 1.49,
632
+ "learning_rate": 0.00022877369200394868,
633
+ "loss": 0.2212,
634
+ "step": 1010
635
+ },
636
+ {
637
+ "epoch": 1.51,
638
+ "learning_rate": 0.0002287159427443238,
639
+ "loss": 0.2142,
640
+ "step": 1020
641
+ },
642
+ {
643
+ "epoch": 1.52,
644
+ "learning_rate": 0.0002286581934846989,
645
+ "loss": 0.2741,
646
+ "step": 1030
647
+ },
648
+ {
649
+ "epoch": 1.54,
650
+ "learning_rate": 0.00022860044422507404,
651
+ "loss": 0.1909,
652
+ "step": 1040
653
+ },
654
+ {
655
+ "epoch": 1.55,
656
+ "learning_rate": 0.00022854269496544916,
657
+ "loss": 0.1991,
658
+ "step": 1050
659
+ },
660
+ {
661
+ "epoch": 1.57,
662
+ "learning_rate": 0.00022848494570582427,
663
+ "loss": 0.1728,
664
+ "step": 1060
665
+ },
666
+ {
667
+ "epoch": 1.58,
668
+ "learning_rate": 0.0002284271964461994,
669
+ "loss": 0.2023,
670
+ "step": 1070
671
+ },
672
+ {
673
+ "epoch": 1.6,
674
+ "learning_rate": 0.00022836944718657452,
675
+ "loss": 0.2307,
676
+ "step": 1080
677
+ },
678
+ {
679
+ "epoch": 1.61,
680
+ "learning_rate": 0.00022831169792694963,
681
+ "loss": 0.1708,
682
+ "step": 1090
683
+ },
684
+ {
685
+ "epoch": 1.62,
686
+ "learning_rate": 0.00022825394866732477,
687
+ "loss": 0.2045,
688
+ "step": 1100
689
+ },
690
+ {
691
+ "epoch": 1.64,
692
+ "learning_rate": 0.0002281961994076999,
693
+ "loss": 0.1962,
694
+ "step": 1110
695
+ },
696
+ {
697
+ "epoch": 1.65,
698
+ "learning_rate": 0.00022813845014807503,
699
+ "loss": 0.2261,
700
+ "step": 1120
701
+ },
702
+ {
703
+ "epoch": 1.67,
704
+ "learning_rate": 0.00022808070088845014,
705
+ "loss": 0.2592,
706
+ "step": 1130
707
+ },
708
+ {
709
+ "epoch": 1.68,
710
+ "learning_rate": 0.00022802295162882525,
711
+ "loss": 0.1846,
712
+ "step": 1140
713
+ },
714
+ {
715
+ "epoch": 1.7,
716
+ "learning_rate": 0.0002279652023692004,
717
+ "loss": 0.1764,
718
+ "step": 1150
719
+ },
720
+ {
721
+ "epoch": 1.71,
722
+ "learning_rate": 0.0002279074531095755,
723
+ "loss": 0.173,
724
+ "step": 1160
725
+ },
726
+ {
727
+ "epoch": 1.73,
728
+ "learning_rate": 0.00022784970384995062,
729
+ "loss": 0.1976,
730
+ "step": 1170
731
+ },
732
+ {
733
+ "epoch": 1.74,
734
+ "learning_rate": 0.00022779195459032576,
735
+ "loss": 0.2587,
736
+ "step": 1180
737
+ },
738
+ {
739
+ "epoch": 1.76,
740
+ "learning_rate": 0.00022773420533070087,
741
+ "loss": 0.171,
742
+ "step": 1190
743
+ },
744
+ {
745
+ "epoch": 1.77,
746
+ "learning_rate": 0.00022767645607107599,
747
+ "loss": 0.1942,
748
+ "step": 1200
749
+ },
750
+ {
751
+ "epoch": 1.77,
752
+ "eval_cer": 0.14407103988518807,
753
+ "eval_loss": 0.09608560800552368,
754
+ "eval_runtime": 165.7261,
755
+ "eval_samples_per_second": 14.367,
756
+ "eval_steps_per_second": 0.483,
757
+ "eval_wer": 0.9865602687946241,
758
+ "step": 1200
759
+ },
760
+ {
761
+ "epoch": 1.79,
762
+ "learning_rate": 0.00022761870681145113,
763
+ "loss": 0.1729,
764
+ "step": 1210
765
+ },
766
+ {
767
+ "epoch": 1.8,
768
+ "learning_rate": 0.00022756095755182627,
769
+ "loss": 0.1849,
770
+ "step": 1220
771
+ },
772
+ {
773
+ "epoch": 1.82,
774
+ "learning_rate": 0.00022750320829220138,
775
+ "loss": 0.2318,
776
+ "step": 1230
777
+ },
778
+ {
779
+ "epoch": 1.83,
780
+ "learning_rate": 0.00022744545903257652,
781
+ "loss": 0.1915,
782
+ "step": 1240
783
+ },
784
+ {
785
+ "epoch": 1.85,
786
+ "learning_rate": 0.00022738770977295163,
787
+ "loss": 0.1969,
788
+ "step": 1250
789
+ },
790
+ {
791
+ "epoch": 1.86,
792
+ "learning_rate": 0.00022732996051332674,
793
+ "loss": 0.1764,
794
+ "step": 1260
795
+ },
796
+ {
797
+ "epoch": 1.88,
798
+ "learning_rate": 0.00022727221125370188,
799
+ "loss": 0.1896,
800
+ "step": 1270
801
+ },
802
+ {
803
+ "epoch": 1.89,
804
+ "learning_rate": 0.000227214461994077,
805
+ "loss": 0.2015,
806
+ "step": 1280
807
+ },
808
+ {
809
+ "epoch": 1.91,
810
+ "learning_rate": 0.00022715671273445214,
811
+ "loss": 0.1796,
812
+ "step": 1290
813
+ },
814
+ {
815
+ "epoch": 1.92,
816
+ "learning_rate": 0.00022709896347482725,
817
+ "loss": 0.205,
818
+ "step": 1300
819
+ },
820
+ {
821
+ "epoch": 1.94,
822
+ "learning_rate": 0.00022704121421520236,
823
+ "loss": 0.1773,
824
+ "step": 1310
825
+ },
826
+ {
827
+ "epoch": 1.95,
828
+ "learning_rate": 0.0002269834649555775,
829
+ "loss": 0.1917,
830
+ "step": 1320
831
+ },
832
+ {
833
+ "epoch": 1.96,
834
+ "learning_rate": 0.00022692571569595262,
835
+ "loss": 0.233,
836
+ "step": 1330
837
+ },
838
+ {
839
+ "epoch": 1.98,
840
+ "learning_rate": 0.00022686796643632773,
841
+ "loss": 0.1977,
842
+ "step": 1340
843
+ },
844
+ {
845
+ "epoch": 1.99,
846
+ "learning_rate": 0.00022681021717670287,
847
+ "loss": 0.176,
848
+ "step": 1350
849
+ },
850
+ {
851
+ "epoch": 2.01,
852
+ "learning_rate": 0.00022675246791707798,
853
+ "loss": 0.2263,
854
+ "step": 1360
855
+ },
856
+ {
857
+ "epoch": 2.02,
858
+ "learning_rate": 0.0002266947186574531,
859
+ "loss": 0.1504,
860
+ "step": 1370
861
+ },
862
+ {
863
+ "epoch": 2.04,
864
+ "learning_rate": 0.00022663696939782823,
865
+ "loss": 0.1572,
866
+ "step": 1380
867
+ },
868
+ {
869
+ "epoch": 2.05,
870
+ "learning_rate": 0.00022657922013820335,
871
+ "loss": 0.1765,
872
+ "step": 1390
873
+ },
874
+ {
875
+ "epoch": 2.07,
876
+ "learning_rate": 0.00022652147087857846,
877
+ "loss": 0.1634,
878
+ "step": 1400
879
+ },
880
+ {
881
+ "epoch": 2.08,
882
+ "learning_rate": 0.0002264637216189536,
883
+ "loss": 0.2366,
884
+ "step": 1410
885
+ },
886
+ {
887
+ "epoch": 2.1,
888
+ "learning_rate": 0.00022640597235932871,
889
+ "loss": 0.1596,
890
+ "step": 1420
891
+ },
892
+ {
893
+ "epoch": 2.11,
894
+ "learning_rate": 0.00022634822309970385,
895
+ "loss": 0.1419,
896
+ "step": 1430
897
+ },
898
+ {
899
+ "epoch": 2.13,
900
+ "learning_rate": 0.00022629047384007897,
901
+ "loss": 0.1785,
902
+ "step": 1440
903
+ },
904
+ {
905
+ "epoch": 2.14,
906
+ "learning_rate": 0.00022623272458045408,
907
+ "loss": 0.1351,
908
+ "step": 1450
909
+ },
910
+ {
911
+ "epoch": 2.16,
912
+ "learning_rate": 0.00022617497532082922,
913
+ "loss": 0.2157,
914
+ "step": 1460
915
+ },
916
+ {
917
+ "epoch": 2.17,
918
+ "learning_rate": 0.00022611722606120433,
919
+ "loss": 0.1547,
920
+ "step": 1470
921
+ },
922
+ {
923
+ "epoch": 2.19,
924
+ "learning_rate": 0.00022605947680157945,
925
+ "loss": 0.1938,
926
+ "step": 1480
927
+ },
928
+ {
929
+ "epoch": 2.2,
930
+ "learning_rate": 0.00022600172754195459,
931
+ "loss": 0.1561,
932
+ "step": 1490
933
+ },
934
+ {
935
+ "epoch": 2.22,
936
+ "learning_rate": 0.0002259439782823297,
937
+ "loss": 0.2033,
938
+ "step": 1500
939
+ },
940
+ {
941
+ "epoch": 2.23,
942
+ "learning_rate": 0.0002258862290227048,
943
+ "loss": 0.2139,
944
+ "step": 1510
945
+ },
946
+ {
947
+ "epoch": 2.25,
948
+ "learning_rate": 0.00022582847976307995,
949
+ "loss": 0.1894,
950
+ "step": 1520
951
+ },
952
+ {
953
+ "epoch": 2.26,
954
+ "learning_rate": 0.0002257707305034551,
955
+ "loss": 0.1765,
956
+ "step": 1530
957
+ },
958
+ {
959
+ "epoch": 2.27,
960
+ "learning_rate": 0.0002257129812438302,
961
+ "loss": 0.1716,
962
+ "step": 1540
963
+ },
964
+ {
965
+ "epoch": 2.29,
966
+ "learning_rate": 0.00022565523198420534,
967
+ "loss": 0.1856,
968
+ "step": 1550
969
+ },
970
+ {
971
+ "epoch": 2.3,
972
+ "learning_rate": 0.00022559748272458046,
973
+ "loss": 0.2059,
974
+ "step": 1560
975
+ },
976
+ {
977
+ "epoch": 2.32,
978
+ "learning_rate": 0.00022553973346495557,
979
+ "loss": 0.1688,
980
+ "step": 1570
981
+ },
982
+ {
983
+ "epoch": 2.33,
984
+ "learning_rate": 0.0002254819842053307,
985
+ "loss": 0.1618,
986
+ "step": 1580
987
+ },
988
+ {
989
+ "epoch": 2.35,
990
+ "learning_rate": 0.00022542423494570582,
991
+ "loss": 0.1745,
992
+ "step": 1590
993
+ },
994
+ {
995
+ "epoch": 2.36,
996
+ "learning_rate": 0.00022536648568608096,
997
+ "loss": 0.1825,
998
+ "step": 1600
999
+ },
1000
+ {
1001
+ "epoch": 2.36,
1002
+ "eval_cer": 0.1480535789033068,
1003
+ "eval_loss": 0.1054612547159195,
1004
+ "eval_runtime": 165.9306,
1005
+ "eval_samples_per_second": 14.349,
1006
+ "eval_steps_per_second": 0.482,
1007
+ "eval_wer": 0.9861402771944561,
1008
+ "step": 1600
1009
+ },
1010
+ {
1011
+ "epoch": 2.38,
1012
+ "learning_rate": 0.00022530873642645608,
1013
+ "loss": 0.2008,
1014
+ "step": 1610
1015
+ },
1016
+ {
1017
+ "epoch": 2.39,
1018
+ "learning_rate": 0.0002252509871668312,
1019
+ "loss": 0.1951,
1020
+ "step": 1620
1021
+ },
1022
+ {
1023
+ "epoch": 2.41,
1024
+ "learning_rate": 0.00022519323790720633,
1025
+ "loss": 0.1537,
1026
+ "step": 1630
1027
+ },
1028
+ {
1029
+ "epoch": 2.42,
1030
+ "learning_rate": 0.00022513548864758144,
1031
+ "loss": 0.171,
1032
+ "step": 1640
1033
+ },
1034
+ {
1035
+ "epoch": 2.44,
1036
+ "learning_rate": 0.00022507773938795655,
1037
+ "loss": 0.1947,
1038
+ "step": 1650
1039
+ },
1040
+ {
1041
+ "epoch": 2.45,
1042
+ "learning_rate": 0.0002250199901283317,
1043
+ "loss": 0.1987,
1044
+ "step": 1660
1045
+ },
1046
+ {
1047
+ "epoch": 2.47,
1048
+ "learning_rate": 0.0002249622408687068,
1049
+ "loss": 0.1625,
1050
+ "step": 1670
1051
+ },
1052
+ {
1053
+ "epoch": 2.48,
1054
+ "learning_rate": 0.00022490449160908192,
1055
+ "loss": 0.1478,
1056
+ "step": 1680
1057
+ },
1058
+ {
1059
+ "epoch": 2.5,
1060
+ "learning_rate": 0.00022484674234945706,
1061
+ "loss": 0.1909,
1062
+ "step": 1690
1063
+ },
1064
+ {
1065
+ "epoch": 2.51,
1066
+ "learning_rate": 0.00022478899308983217,
1067
+ "loss": 0.1789,
1068
+ "step": 1700
1069
+ },
1070
+ {
1071
+ "epoch": 2.53,
1072
+ "learning_rate": 0.0002247312438302073,
1073
+ "loss": 0.1984,
1074
+ "step": 1710
1075
+ },
1076
+ {
1077
+ "epoch": 2.54,
1078
+ "learning_rate": 0.00022467349457058243,
1079
+ "loss": 0.1525,
1080
+ "step": 1720
1081
+ },
1082
+ {
1083
+ "epoch": 2.56,
1084
+ "learning_rate": 0.00022461574531095754,
1085
+ "loss": 0.1623,
1086
+ "step": 1730
1087
+ },
1088
+ {
1089
+ "epoch": 2.57,
1090
+ "learning_rate": 0.00022455799605133268,
1091
+ "loss": 0.1666,
1092
+ "step": 1740
1093
+ },
1094
+ {
1095
+ "epoch": 2.58,
1096
+ "learning_rate": 0.0002245002467917078,
1097
+ "loss": 0.1731,
1098
+ "step": 1750
1099
+ },
1100
+ {
1101
+ "epoch": 2.6,
1102
+ "learning_rate": 0.0002244424975320829,
1103
+ "loss": 0.211,
1104
+ "step": 1760
1105
+ },
1106
+ {
1107
+ "epoch": 2.61,
1108
+ "learning_rate": 0.00022438474827245805,
1109
+ "loss": 0.184,
1110
+ "step": 1770
1111
+ },
1112
+ {
1113
+ "epoch": 2.63,
1114
+ "learning_rate": 0.00022432699901283316,
1115
+ "loss": 0.1317,
1116
+ "step": 1780
1117
+ },
1118
+ {
1119
+ "epoch": 2.64,
1120
+ "learning_rate": 0.00022426924975320827,
1121
+ "loss": 0.1603,
1122
+ "step": 1790
1123
+ },
1124
+ {
1125
+ "epoch": 2.66,
1126
+ "learning_rate": 0.0002242115004935834,
1127
+ "loss": 0.186,
1128
+ "step": 1800
1129
+ },
1130
+ {
1131
+ "epoch": 2.67,
1132
+ "learning_rate": 0.00022415375123395852,
1133
+ "loss": 0.2378,
1134
+ "step": 1810
1135
+ },
1136
+ {
1137
+ "epoch": 2.69,
1138
+ "learning_rate": 0.00022409600197433364,
1139
+ "loss": 0.1734,
1140
+ "step": 1820
1141
+ },
1142
+ {
1143
+ "epoch": 2.7,
1144
+ "learning_rate": 0.00022403825271470878,
1145
+ "loss": 0.1453,
1146
+ "step": 1830
1147
+ },
1148
+ {
1149
+ "epoch": 2.72,
1150
+ "learning_rate": 0.0002239805034550839,
1151
+ "loss": 0.171,
1152
+ "step": 1840
1153
+ },
1154
+ {
1155
+ "epoch": 2.73,
1156
+ "learning_rate": 0.00022392275419545903,
1157
+ "loss": 0.2007,
1158
+ "step": 1850
1159
+ },
1160
+ {
1161
+ "epoch": 2.75,
1162
+ "learning_rate": 0.00022386500493583417,
1163
+ "loss": 0.2472,
1164
+ "step": 1860
1165
+ },
1166
+ {
1167
+ "epoch": 2.76,
1168
+ "learning_rate": 0.00022380725567620928,
1169
+ "loss": 0.1497,
1170
+ "step": 1870
1171
+ },
1172
+ {
1173
+ "epoch": 2.78,
1174
+ "learning_rate": 0.0002237495064165844,
1175
+ "loss": 0.1762,
1176
+ "step": 1880
1177
+ },
1178
+ {
1179
+ "epoch": 2.79,
1180
+ "learning_rate": 0.00022369175715695954,
1181
+ "loss": 0.142,
1182
+ "step": 1890
1183
+ },
1184
+ {
1185
+ "epoch": 2.81,
1186
+ "learning_rate": 0.00022363400789733465,
1187
+ "loss": 0.176,
1188
+ "step": 1900
1189
+ },
1190
+ {
1191
+ "epoch": 2.82,
1192
+ "learning_rate": 0.0002235762586377098,
1193
+ "loss": 0.2183,
1194
+ "step": 1910
1195
+ },
1196
+ {
1197
+ "epoch": 2.84,
1198
+ "learning_rate": 0.0002235185093780849,
1199
+ "loss": 0.1707,
1200
+ "step": 1920
1201
+ },
1202
+ {
1203
+ "epoch": 2.85,
1204
+ "learning_rate": 0.00022346076011846001,
1205
+ "loss": 0.1642,
1206
+ "step": 1930
1207
+ },
1208
+ {
1209
+ "epoch": 2.87,
1210
+ "learning_rate": 0.00022340301085883515,
1211
+ "loss": 0.1454,
1212
+ "step": 1940
1213
+ },
1214
+ {
1215
+ "epoch": 2.88,
1216
+ "learning_rate": 0.00022334526159921027,
1217
+ "loss": 0.1854,
1218
+ "step": 1950
1219
+ },
1220
+ {
1221
+ "epoch": 2.9,
1222
+ "learning_rate": 0.00022328751233958538,
1223
+ "loss": 0.2147,
1224
+ "step": 1960
1225
+ },
1226
+ {
1227
+ "epoch": 2.91,
1228
+ "learning_rate": 0.00022322976307996052,
1229
+ "loss": 0.1664,
1230
+ "step": 1970
1231
+ },
1232
+ {
1233
+ "epoch": 2.92,
1234
+ "learning_rate": 0.00022317201382033563,
1235
+ "loss": 0.1495,
1236
+ "step": 1980
1237
+ },
1238
+ {
1239
+ "epoch": 2.94,
1240
+ "learning_rate": 0.00022311426456071075,
1241
+ "loss": 0.1694,
1242
+ "step": 1990
1243
+ },
1244
+ {
1245
+ "epoch": 2.95,
1246
+ "learning_rate": 0.0002230565153010859,
1247
+ "loss": 0.1664,
1248
+ "step": 2000
1249
+ },
1250
+ {
1251
+ "epoch": 2.95,
1252
+ "eval_cer": 0.15189858279016924,
1253
+ "eval_loss": 0.09597988426685333,
1254
+ "eval_runtime": 165.3281,
1255
+ "eval_samples_per_second": 14.402,
1256
+ "eval_steps_per_second": 0.484,
1257
+ "eval_wer": 0.9882402351952961,
1258
+ "step": 2000
1259
+ },
1260
+ {
1261
+ "epoch": 2.97,
1262
+ "learning_rate": 0.000222998766041461,
1263
+ "loss": 0.2587,
1264
+ "step": 2010
1265
+ },
1266
+ {
1267
+ "epoch": 2.98,
1268
+ "learning_rate": 0.0002229410167818361,
1269
+ "loss": 0.1783,
1270
+ "step": 2020
1271
+ },
1272
+ {
1273
+ "epoch": 3.0,
1274
+ "learning_rate": 0.00022288326752221125,
1275
+ "loss": 0.1742,
1276
+ "step": 2030
1277
+ },
1278
+ {
1279
+ "epoch": 3.01,
1280
+ "learning_rate": 0.00022282551826258637,
1281
+ "loss": 0.1699,
1282
+ "step": 2040
1283
+ },
1284
+ {
1285
+ "epoch": 3.03,
1286
+ "learning_rate": 0.0002227677690029615,
1287
+ "loss": 0.1536,
1288
+ "step": 2050
1289
+ },
1290
+ {
1291
+ "epoch": 3.04,
1292
+ "learning_rate": 0.00022271001974333662,
1293
+ "loss": 0.155,
1294
+ "step": 2060
1295
+ },
1296
+ {
1297
+ "epoch": 3.06,
1298
+ "learning_rate": 0.00022265227048371173,
1299
+ "loss": 0.1595,
1300
+ "step": 2070
1301
+ },
1302
+ {
1303
+ "epoch": 3.07,
1304
+ "learning_rate": 0.00022259452122408687,
1305
+ "loss": 0.1566,
1306
+ "step": 2080
1307
+ },
1308
+ {
1309
+ "epoch": 3.09,
1310
+ "learning_rate": 0.00022253677196446198,
1311
+ "loss": 0.2007,
1312
+ "step": 2090
1313
+ },
1314
+ {
1315
+ "epoch": 3.1,
1316
+ "learning_rate": 0.0002224790227048371,
1317
+ "loss": 0.1453,
1318
+ "step": 2100
1319
+ },
1320
+ {
1321
+ "epoch": 3.12,
1322
+ "learning_rate": 0.00022242127344521224,
1323
+ "loss": 0.1786,
1324
+ "step": 2110
1325
+ },
1326
+ {
1327
+ "epoch": 3.13,
1328
+ "learning_rate": 0.00022236352418558735,
1329
+ "loss": 0.1646,
1330
+ "step": 2120
1331
+ },
1332
+ {
1333
+ "epoch": 3.15,
1334
+ "learning_rate": 0.00022230577492596246,
1335
+ "loss": 0.2085,
1336
+ "step": 2130
1337
+ },
1338
+ {
1339
+ "epoch": 3.16,
1340
+ "learning_rate": 0.0002222480256663376,
1341
+ "loss": 0.1987,
1342
+ "step": 2140
1343
+ },
1344
+ {
1345
+ "epoch": 3.18,
1346
+ "learning_rate": 0.00022219027640671272,
1347
+ "loss": 0.1479,
1348
+ "step": 2150
1349
+ },
1350
+ {
1351
+ "epoch": 3.19,
1352
+ "learning_rate": 0.00022213252714708783,
1353
+ "loss": 0.1693,
1354
+ "step": 2160
1355
+ },
1356
+ {
1357
+ "epoch": 3.21,
1358
+ "learning_rate": 0.000222074777887463,
1359
+ "loss": 0.1579,
1360
+ "step": 2170
1361
+ },
1362
+ {
1363
+ "epoch": 3.22,
1364
+ "learning_rate": 0.0002220170286278381,
1365
+ "loss": 0.1905,
1366
+ "step": 2180
1367
+ },
1368
+ {
1369
+ "epoch": 3.23,
1370
+ "learning_rate": 0.00022195927936821322,
1371
+ "loss": 0.1969,
1372
+ "step": 2190
1373
+ },
1374
+ {
1375
+ "epoch": 3.25,
1376
+ "learning_rate": 0.00022190153010858836,
1377
+ "loss": 0.1504,
1378
+ "step": 2200
1379
+ },
1380
+ {
1381
+ "epoch": 3.26,
1382
+ "learning_rate": 0.00022184378084896347,
1383
+ "loss": 0.1784,
1384
+ "step": 2210
1385
+ },
1386
+ {
1387
+ "epoch": 3.28,
1388
+ "learning_rate": 0.00022178603158933861,
1389
+ "loss": 0.1693,
1390
+ "step": 2220
1391
+ },
1392
+ {
1393
+ "epoch": 3.29,
1394
+ "learning_rate": 0.00022172828232971373,
1395
+ "loss": 0.1799,
1396
+ "step": 2230
1397
+ },
1398
+ {
1399
+ "epoch": 3.31,
1400
+ "learning_rate": 0.00022167053307008884,
1401
+ "loss": 0.19,
1402
+ "step": 2240
1403
+ },
1404
+ {
1405
+ "epoch": 3.32,
1406
+ "learning_rate": 0.00022161278381046398,
1407
+ "loss": 0.1471,
1408
+ "step": 2250
1409
+ },
1410
+ {
1411
+ "epoch": 3.34,
1412
+ "learning_rate": 0.0002215550345508391,
1413
+ "loss": 0.154,
1414
+ "step": 2260
1415
+ },
1416
+ {
1417
+ "epoch": 3.35,
1418
+ "learning_rate": 0.0002214972852912142,
1419
+ "loss": 0.1579,
1420
+ "step": 2270
1421
+ },
1422
+ {
1423
+ "epoch": 3.37,
1424
+ "learning_rate": 0.00022143953603158935,
1425
+ "loss": 0.2001,
1426
+ "step": 2280
1427
+ },
1428
+ {
1429
+ "epoch": 3.38,
1430
+ "learning_rate": 0.00022138178677196446,
1431
+ "loss": 0.186,
1432
+ "step": 2290
1433
+ },
1434
+ {
1435
+ "epoch": 3.4,
1436
+ "learning_rate": 0.00022132403751233957,
1437
+ "loss": 0.1495,
1438
+ "step": 2300
1439
+ },
1440
+ {
1441
+ "epoch": 3.41,
1442
+ "learning_rate": 0.0002212662882527147,
1443
+ "loss": 0.1514,
1444
+ "step": 2310
1445
+ },
1446
+ {
1447
+ "epoch": 3.43,
1448
+ "learning_rate": 0.00022120853899308983,
1449
+ "loss": 0.1803,
1450
+ "step": 2320
1451
+ },
1452
+ {
1453
+ "epoch": 3.44,
1454
+ "learning_rate": 0.00022115078973346494,
1455
+ "loss": 0.1838,
1456
+ "step": 2330
1457
+ },
1458
+ {
1459
+ "epoch": 3.46,
1460
+ "learning_rate": 0.00022109304047384008,
1461
+ "loss": 0.2408,
1462
+ "step": 2340
1463
+ },
1464
+ {
1465
+ "epoch": 3.47,
1466
+ "learning_rate": 0.0002210352912142152,
1467
+ "loss": 0.137,
1468
+ "step": 2350
1469
+ },
1470
+ {
1471
+ "epoch": 3.49,
1472
+ "learning_rate": 0.00022097754195459033,
1473
+ "loss": 0.1435,
1474
+ "step": 2360
1475
+ },
1476
+ {
1477
+ "epoch": 3.5,
1478
+ "learning_rate": 0.00022091979269496544,
1479
+ "loss": 0.1597,
1480
+ "step": 2370
1481
+ },
1482
+ {
1483
+ "epoch": 3.52,
1484
+ "learning_rate": 0.00022086204343534056,
1485
+ "loss": 0.2343,
1486
+ "step": 2380
1487
+ },
1488
+ {
1489
+ "epoch": 3.53,
1490
+ "learning_rate": 0.0002208042941757157,
1491
+ "loss": 0.1752,
1492
+ "step": 2390
1493
+ },
1494
+ {
1495
+ "epoch": 3.55,
1496
+ "learning_rate": 0.0002207465449160908,
1497
+ "loss": 0.145,
1498
+ "step": 2400
1499
+ },
1500
+ {
1501
+ "epoch": 3.55,
1502
+ "eval_cer": 0.16321832207139866,
1503
+ "eval_loss": 0.10200775414705276,
1504
+ "eval_runtime": 165.6528,
1505
+ "eval_samples_per_second": 14.373,
1506
+ "eval_steps_per_second": 0.483,
1507
+ "eval_wer": 0.989920201595968,
1508
+ "step": 2400
1509
+ },
1510
+ {
1511
+ "epoch": 3.56,
1512
+ "learning_rate": 0.00022068879565646592,
1513
+ "loss": 0.1755,
1514
+ "step": 2410
1515
+ },
1516
+ {
1517
+ "epoch": 3.57,
1518
+ "learning_rate": 0.00022063104639684106,
1519
+ "loss": 0.1808,
1520
+ "step": 2420
1521
+ },
1522
+ {
1523
+ "epoch": 3.59,
1524
+ "learning_rate": 0.00022057329713721618,
1525
+ "loss": 0.1764,
1526
+ "step": 2430
1527
+ },
1528
+ {
1529
+ "epoch": 3.6,
1530
+ "learning_rate": 0.0002205155478775913,
1531
+ "loss": 0.1693,
1532
+ "step": 2440
1533
+ },
1534
+ {
1535
+ "epoch": 3.62,
1536
+ "learning_rate": 0.00022045779861796643,
1537
+ "loss": 0.1472,
1538
+ "step": 2450
1539
+ },
1540
+ {
1541
+ "epoch": 3.63,
1542
+ "learning_rate": 0.00022040004935834154,
1543
+ "loss": 0.1485,
1544
+ "step": 2460
1545
+ },
1546
+ {
1547
+ "epoch": 3.65,
1548
+ "learning_rate": 0.00022034230009871665,
1549
+ "loss": 0.1508,
1550
+ "step": 2470
1551
+ },
1552
+ {
1553
+ "epoch": 3.66,
1554
+ "learning_rate": 0.00022028455083909182,
1555
+ "loss": 0.1928,
1556
+ "step": 2480
1557
+ },
1558
+ {
1559
+ "epoch": 3.68,
1560
+ "learning_rate": 0.00022022680157946693,
1561
+ "loss": 0.1844,
1562
+ "step": 2490
1563
+ },
1564
+ {
1565
+ "epoch": 3.69,
1566
+ "learning_rate": 0.00022016905231984205,
1567
+ "loss": 0.1618,
1568
+ "step": 2500
1569
+ },
1570
+ {
1571
+ "epoch": 3.71,
1572
+ "learning_rate": 0.0002201113030602172,
1573
+ "loss": 0.1525,
1574
+ "step": 2510
1575
+ },
1576
+ {
1577
+ "epoch": 3.72,
1578
+ "learning_rate": 0.0002200535538005923,
1579
+ "loss": 0.1799,
1580
+ "step": 2520
1581
+ },
1582
+ {
1583
+ "epoch": 3.74,
1584
+ "learning_rate": 0.00021999580454096744,
1585
+ "loss": 0.203,
1586
+ "step": 2530
1587
+ },
1588
+ {
1589
+ "epoch": 3.75,
1590
+ "learning_rate": 0.00021993805528134255,
1591
+ "loss": 0.1789,
1592
+ "step": 2540
1593
+ },
1594
+ {
1595
+ "epoch": 3.77,
1596
+ "learning_rate": 0.00021988030602171767,
1597
+ "loss": 0.1593,
1598
+ "step": 2550
1599
+ },
1600
+ {
1601
+ "epoch": 3.78,
1602
+ "learning_rate": 0.0002198225567620928,
1603
+ "loss": 0.1344,
1604
+ "step": 2560
1605
+ },
1606
+ {
1607
+ "epoch": 3.8,
1608
+ "learning_rate": 0.00021976480750246792,
1609
+ "loss": 0.1924,
1610
+ "step": 2570
1611
+ },
1612
+ {
1613
+ "epoch": 3.81,
1614
+ "learning_rate": 0.00021970705824284303,
1615
+ "loss": 0.2305,
1616
+ "step": 2580
1617
+ },
1618
+ {
1619
+ "epoch": 3.83,
1620
+ "learning_rate": 0.00021964930898321817,
1621
+ "loss": 0.1798,
1622
+ "step": 2590
1623
+ },
1624
+ {
1625
+ "epoch": 3.84,
1626
+ "learning_rate": 0.00021959155972359329,
1627
+ "loss": 0.1414,
1628
+ "step": 2600
1629
+ },
1630
+ {
1631
+ "epoch": 3.86,
1632
+ "learning_rate": 0.0002195338104639684,
1633
+ "loss": 0.1392,
1634
+ "step": 2610
1635
+ },
1636
+ {
1637
+ "epoch": 3.87,
1638
+ "learning_rate": 0.00021947606120434354,
1639
+ "loss": 0.1533,
1640
+ "step": 2620
1641
+ },
1642
+ {
1643
+ "epoch": 3.88,
1644
+ "learning_rate": 0.00021941831194471865,
1645
+ "loss": 0.1981,
1646
+ "step": 2630
1647
+ },
1648
+ {
1649
+ "epoch": 3.9,
1650
+ "learning_rate": 0.00021936056268509376,
1651
+ "loss": 0.179,
1652
+ "step": 2640
1653
+ },
1654
+ {
1655
+ "epoch": 3.91,
1656
+ "learning_rate": 0.0002193028134254689,
1657
+ "loss": 0.1409,
1658
+ "step": 2650
1659
+ },
1660
+ {
1661
+ "epoch": 3.93,
1662
+ "learning_rate": 0.00021924506416584402,
1663
+ "loss": 0.1624,
1664
+ "step": 2660
1665
+ },
1666
+ {
1667
+ "epoch": 3.94,
1668
+ "learning_rate": 0.00021918731490621916,
1669
+ "loss": 0.1619,
1670
+ "step": 2670
1671
+ },
1672
+ {
1673
+ "epoch": 3.96,
1674
+ "learning_rate": 0.00021912956564659427,
1675
+ "loss": 0.1727,
1676
+ "step": 2680
1677
+ },
1678
+ {
1679
+ "epoch": 3.97,
1680
+ "learning_rate": 0.00021907181638696938,
1681
+ "loss": 0.1602,
1682
+ "step": 2690
1683
+ },
1684
+ {
1685
+ "epoch": 3.99,
1686
+ "learning_rate": 0.00021901406712734452,
1687
+ "loss": 0.1295,
1688
+ "step": 2700
1689
+ },
1690
+ {
1691
+ "epoch": 4.0,
1692
+ "learning_rate": 0.00021895631786771964,
1693
+ "loss": 0.1825,
1694
+ "step": 2710
1695
+ },
1696
+ {
1697
+ "epoch": 4.02,
1698
+ "learning_rate": 0.00021889856860809475,
1699
+ "loss": 0.1724,
1700
+ "step": 2720
1701
+ },
1702
+ {
1703
+ "epoch": 4.03,
1704
+ "learning_rate": 0.0002188408193484699,
1705
+ "loss": 0.1503,
1706
+ "step": 2730
1707
+ },
1708
+ {
1709
+ "epoch": 4.05,
1710
+ "learning_rate": 0.000218783070088845,
1711
+ "loss": 0.1364,
1712
+ "step": 2740
1713
+ },
1714
+ {
1715
+ "epoch": 4.06,
1716
+ "learning_rate": 0.00021872532082922011,
1717
+ "loss": 0.144,
1718
+ "step": 2750
1719
+ },
1720
+ {
1721
+ "epoch": 4.08,
1722
+ "learning_rate": 0.00021866757156959525,
1723
+ "loss": 0.178,
1724
+ "step": 2760
1725
+ },
1726
+ {
1727
+ "epoch": 4.09,
1728
+ "learning_rate": 0.00021860982230997037,
1729
+ "loss": 0.1625,
1730
+ "step": 2770
1731
+ },
1732
+ {
1733
+ "epoch": 4.11,
1734
+ "learning_rate": 0.00021855207305034548,
1735
+ "loss": 0.1344,
1736
+ "step": 2780
1737
+ },
1738
+ {
1739
+ "epoch": 4.12,
1740
+ "learning_rate": 0.00021849432379072062,
1741
+ "loss": 0.1355,
1742
+ "step": 2790
1743
+ },
1744
+ {
1745
+ "epoch": 4.14,
1746
+ "learning_rate": 0.00021843657453109576,
1747
+ "loss": 0.1534,
1748
+ "step": 2800
1749
+ },
1750
+ {
1751
+ "epoch": 4.14,
1752
+ "eval_cer": 0.15161155295102555,
1753
+ "eval_loss": 0.10632243752479553,
1754
+ "eval_runtime": 166.0979,
1755
+ "eval_samples_per_second": 14.335,
1756
+ "eval_steps_per_second": 0.482,
1757
+ "eval_wer": 0.9764804703905922,
1758
+ "step": 2800
1759
+ },
1760
+ {
1761
+ "epoch": 4.15,
1762
+ "learning_rate": 0.00021837882527147087,
1763
+ "loss": 0.1826,
1764
+ "step": 2810
1765
+ },
1766
+ {
1767
+ "epoch": 4.17,
1768
+ "learning_rate": 0.000218321076011846,
1769
+ "loss": 0.1615,
1770
+ "step": 2820
1771
+ },
1772
+ {
1773
+ "epoch": 4.18,
1774
+ "learning_rate": 0.00021826332675222113,
1775
+ "loss": 0.1218,
1776
+ "step": 2830
1777
+ },
1778
+ {
1779
+ "epoch": 4.19,
1780
+ "learning_rate": 0.00021820557749259627,
1781
+ "loss": 0.1326,
1782
+ "step": 2840
1783
+ },
1784
+ {
1785
+ "epoch": 4.21,
1786
+ "learning_rate": 0.00021814782823297138,
1787
+ "loss": 0.1623,
1788
+ "step": 2850
1789
+ },
1790
+ {
1791
+ "epoch": 4.22,
1792
+ "learning_rate": 0.0002180900789733465,
1793
+ "loss": 0.1729,
1794
+ "step": 2860
1795
+ },
1796
+ {
1797
+ "epoch": 4.24,
1798
+ "learning_rate": 0.00021803232971372163,
1799
+ "loss": 0.1435,
1800
+ "step": 2870
1801
+ },
1802
+ {
1803
+ "epoch": 4.25,
1804
+ "learning_rate": 0.00021797458045409675,
1805
+ "loss": 0.1547,
1806
+ "step": 2880
1807
+ },
1808
+ {
1809
+ "epoch": 4.27,
1810
+ "learning_rate": 0.00021791683119447186,
1811
+ "loss": 0.156,
1812
+ "step": 2890
1813
+ },
1814
+ {
1815
+ "epoch": 4.28,
1816
+ "learning_rate": 0.000217859081934847,
1817
+ "loss": 0.1387,
1818
+ "step": 2900
1819
+ },
1820
+ {
1821
+ "epoch": 4.3,
1822
+ "learning_rate": 0.0002178013326752221,
1823
+ "loss": 0.2081,
1824
+ "step": 2910
1825
+ },
1826
+ {
1827
+ "epoch": 4.31,
1828
+ "learning_rate": 0.00021774358341559722,
1829
+ "loss": 0.1335,
1830
+ "step": 2920
1831
+ },
1832
+ {
1833
+ "epoch": 4.33,
1834
+ "learning_rate": 0.00021768583415597236,
1835
+ "loss": 0.1493,
1836
+ "step": 2930
1837
+ },
1838
+ {
1839
+ "epoch": 4.34,
1840
+ "learning_rate": 0.00021762808489634748,
1841
+ "loss": 0.1436,
1842
+ "step": 2940
1843
+ },
1844
+ {
1845
+ "epoch": 4.36,
1846
+ "learning_rate": 0.0002175703356367226,
1847
+ "loss": 0.1497,
1848
+ "step": 2950
1849
+ },
1850
+ {
1851
+ "epoch": 4.37,
1852
+ "learning_rate": 0.00021751258637709773,
1853
+ "loss": 0.1468,
1854
+ "step": 2960
1855
+ },
1856
+ {
1857
+ "epoch": 4.39,
1858
+ "learning_rate": 0.00021745483711747284,
1859
+ "loss": 0.1292,
1860
+ "step": 2970
1861
+ },
1862
+ {
1863
+ "epoch": 4.4,
1864
+ "learning_rate": 0.00021739708785784798,
1865
+ "loss": 0.1211,
1866
+ "step": 2980
1867
+ },
1868
+ {
1869
+ "epoch": 4.42,
1870
+ "learning_rate": 0.0002173393385982231,
1871
+ "loss": 0.1397,
1872
+ "step": 2990
1873
+ },
1874
+ {
1875
+ "epoch": 4.43,
1876
+ "learning_rate": 0.0002172815893385982,
1877
+ "loss": 0.1508,
1878
+ "step": 3000
1879
+ },
1880
+ {
1881
+ "epoch": 4.45,
1882
+ "learning_rate": 0.00021722384007897335,
1883
+ "loss": 0.2053,
1884
+ "step": 3010
1885
+ },
1886
+ {
1887
+ "epoch": 4.46,
1888
+ "learning_rate": 0.00021716609081934846,
1889
+ "loss": 0.1531,
1890
+ "step": 3020
1891
+ },
1892
+ {
1893
+ "epoch": 4.48,
1894
+ "learning_rate": 0.00021710834155972357,
1895
+ "loss": 0.132,
1896
+ "step": 3030
1897
+ },
1898
+ {
1899
+ "epoch": 4.49,
1900
+ "learning_rate": 0.00021705059230009871,
1901
+ "loss": 0.1469,
1902
+ "step": 3040
1903
+ },
1904
+ {
1905
+ "epoch": 4.51,
1906
+ "learning_rate": 0.00021699284304047383,
1907
+ "loss": 0.1471,
1908
+ "step": 3050
1909
+ },
1910
+ {
1911
+ "epoch": 4.52,
1912
+ "learning_rate": 0.00021693509378084894,
1913
+ "loss": 0.161,
1914
+ "step": 3060
1915
+ },
1916
+ {
1917
+ "epoch": 4.53,
1918
+ "learning_rate": 0.00021687734452122408,
1919
+ "loss": 0.1464,
1920
+ "step": 3070
1921
+ },
1922
+ {
1923
+ "epoch": 4.55,
1924
+ "learning_rate": 0.0002168195952615992,
1925
+ "loss": 0.1569,
1926
+ "step": 3080
1927
+ },
1928
+ {
1929
+ "epoch": 4.56,
1930
+ "learning_rate": 0.0002167618460019743,
1931
+ "loss": 0.1392,
1932
+ "step": 3090
1933
+ },
1934
+ {
1935
+ "epoch": 4.58,
1936
+ "learning_rate": 0.00021670409674234945,
1937
+ "loss": 0.1533,
1938
+ "step": 3100
1939
+ },
1940
+ {
1941
+ "epoch": 4.59,
1942
+ "learning_rate": 0.00021664634748272456,
1943
+ "loss": 0.1944,
1944
+ "step": 3110
1945
+ },
1946
+ {
1947
+ "epoch": 4.61,
1948
+ "learning_rate": 0.0002165885982230997,
1949
+ "loss": 0.1442,
1950
+ "step": 3120
1951
+ },
1952
+ {
1953
+ "epoch": 4.62,
1954
+ "learning_rate": 0.00021653084896347484,
1955
+ "loss": 0.1265,
1956
+ "step": 3130
1957
+ },
1958
+ {
1959
+ "epoch": 4.64,
1960
+ "learning_rate": 0.00021647309970384995,
1961
+ "loss": 0.1276,
1962
+ "step": 3140
1963
+ },
1964
+ {
1965
+ "epoch": 4.65,
1966
+ "learning_rate": 0.0002164153504442251,
1967
+ "loss": 0.1633,
1968
+ "step": 3150
1969
+ },
1970
+ {
1971
+ "epoch": 4.67,
1972
+ "learning_rate": 0.0002163576011846002,
1973
+ "loss": 0.1694,
1974
+ "step": 3160
1975
+ },
1976
+ {
1977
+ "epoch": 4.68,
1978
+ "learning_rate": 0.00021629985192497532,
1979
+ "loss": 0.1232,
1980
+ "step": 3170
1981
+ },
1982
+ {
1983
+ "epoch": 4.7,
1984
+ "learning_rate": 0.00021624210266535046,
1985
+ "loss": 0.1466,
1986
+ "step": 3180
1987
+ },
1988
+ {
1989
+ "epoch": 4.71,
1990
+ "learning_rate": 0.00021618435340572557,
1991
+ "loss": 0.1246,
1992
+ "step": 3190
1993
+ },
1994
+ {
1995
+ "epoch": 4.73,
1996
+ "learning_rate": 0.00021612660414610068,
1997
+ "loss": 0.1327,
1998
+ "step": 3200
1999
+ },
2000
+ {
2001
+ "epoch": 4.73,
2002
+ "eval_cer": 0.12719009747054955,
2003
+ "eval_loss": 0.09979347139596939,
2004
+ "eval_runtime": 166.6582,
2005
+ "eval_samples_per_second": 14.287,
2006
+ "eval_steps_per_second": 0.48,
2007
+ "eval_wer": 0.9764804703905922,
2008
+ "step": 3200
2009
+ },
2010
+ {
2011
+ "epoch": 4.74,
2012
+ "learning_rate": 0.00021606885488647582,
2013
+ "loss": 0.2253,
2014
+ "step": 3210
2015
+ },
2016
+ {
2017
+ "epoch": 4.76,
2018
+ "learning_rate": 0.00021601110562685094,
2019
+ "loss": 0.1384,
2020
+ "step": 3220
2021
+ },
2022
+ {
2023
+ "epoch": 4.77,
2024
+ "learning_rate": 0.00021595335636722605,
2025
+ "loss": 0.1735,
2026
+ "step": 3230
2027
+ },
2028
+ {
2029
+ "epoch": 4.79,
2030
+ "learning_rate": 0.0002158956071076012,
2031
+ "loss": 0.121,
2032
+ "step": 3240
2033
+ },
2034
+ {
2035
+ "epoch": 4.8,
2036
+ "learning_rate": 0.0002158378578479763,
2037
+ "loss": 0.1469,
2038
+ "step": 3250
2039
+ },
2040
+ {
2041
+ "epoch": 4.82,
2042
+ "learning_rate": 0.00021578010858835142,
2043
+ "loss": 0.1975,
2044
+ "step": 3260
2045
+ },
2046
+ {
2047
+ "epoch": 4.83,
2048
+ "learning_rate": 0.00021572235932872656,
2049
+ "loss": 0.133,
2050
+ "step": 3270
2051
+ },
2052
+ {
2053
+ "epoch": 4.84,
2054
+ "learning_rate": 0.00021566461006910167,
2055
+ "loss": 0.1317,
2056
+ "step": 3280
2057
+ },
2058
+ {
2059
+ "epoch": 4.86,
2060
+ "learning_rate": 0.0002156068608094768,
2061
+ "loss": 0.1458,
2062
+ "step": 3290
2063
+ },
2064
+ {
2065
+ "epoch": 4.87,
2066
+ "learning_rate": 0.00021554911154985192,
2067
+ "loss": 0.1423,
2068
+ "step": 3300
2069
+ },
2070
+ {
2071
+ "epoch": 4.89,
2072
+ "learning_rate": 0.00021549136229022703,
2073
+ "loss": 0.1852,
2074
+ "step": 3310
2075
+ },
2076
+ {
2077
+ "epoch": 4.9,
2078
+ "learning_rate": 0.00021543361303060217,
2079
+ "loss": 0.1516,
2080
+ "step": 3320
2081
+ },
2082
+ {
2083
+ "epoch": 4.92,
2084
+ "learning_rate": 0.0002153758637709773,
2085
+ "loss": 0.1418,
2086
+ "step": 3330
2087
+ },
2088
+ {
2089
+ "epoch": 4.93,
2090
+ "learning_rate": 0.0002153181145113524,
2091
+ "loss": 0.1275,
2092
+ "step": 3340
2093
+ },
2094
+ {
2095
+ "epoch": 4.95,
2096
+ "learning_rate": 0.00021526036525172754,
2097
+ "loss": 0.1199,
2098
+ "step": 3350
2099
+ },
2100
+ {
2101
+ "epoch": 4.96,
2102
+ "learning_rate": 0.00021520261599210265,
2103
+ "loss": 0.135,
2104
+ "step": 3360
2105
+ },
2106
+ {
2107
+ "epoch": 4.98,
2108
+ "learning_rate": 0.00021514486673247777,
2109
+ "loss": 0.1277,
2110
+ "step": 3370
2111
+ },
2112
+ {
2113
+ "epoch": 4.99,
2114
+ "learning_rate": 0.0002150871174728529,
2115
+ "loss": 0.1338,
2116
+ "step": 3380
2117
+ },
2118
+ {
2119
+ "epoch": 5.01,
2120
+ "learning_rate": 0.00021502936821322802,
2121
+ "loss": 0.2228,
2122
+ "step": 3390
2123
+ },
2124
+ {
2125
+ "epoch": 5.02,
2126
+ "learning_rate": 0.00021497161895360313,
2127
+ "loss": 0.138,
2128
+ "step": 3400
2129
+ },
2130
+ {
2131
+ "epoch": 5.04,
2132
+ "learning_rate": 0.00021491386969397827,
2133
+ "loss": 0.1168,
2134
+ "step": 3410
2135
+ },
2136
+ {
2137
+ "epoch": 5.05,
2138
+ "learning_rate": 0.00021485612043435339,
2139
+ "loss": 0.1339,
2140
+ "step": 3420
2141
+ },
2142
+ {
2143
+ "epoch": 5.07,
2144
+ "learning_rate": 0.00021479837117472853,
2145
+ "loss": 0.1233,
2146
+ "step": 3430
2147
+ },
2148
+ {
2149
+ "epoch": 5.08,
2150
+ "learning_rate": 0.00021474062191510367,
2151
+ "loss": 0.1767,
2152
+ "step": 3440
2153
+ },
2154
+ {
2155
+ "epoch": 5.1,
2156
+ "learning_rate": 0.00021468287265547878,
2157
+ "loss": 0.126,
2158
+ "step": 3450
2159
+ },
2160
+ {
2161
+ "epoch": 5.11,
2162
+ "learning_rate": 0.00021462512339585392,
2163
+ "loss": 0.1149,
2164
+ "step": 3460
2165
+ },
2166
+ {
2167
+ "epoch": 5.13,
2168
+ "learning_rate": 0.00021456737413622903,
2169
+ "loss": 0.1379,
2170
+ "step": 3470
2171
+ },
2172
+ {
2173
+ "epoch": 5.14,
2174
+ "learning_rate": 0.00021450962487660414,
2175
+ "loss": 0.1406,
2176
+ "step": 3480
2177
+ },
2178
+ {
2179
+ "epoch": 5.16,
2180
+ "learning_rate": 0.00021445187561697928,
2181
+ "loss": 0.2308,
2182
+ "step": 3490
2183
+ },
2184
+ {
2185
+ "epoch": 5.17,
2186
+ "learning_rate": 0.0002143941263573544,
2187
+ "loss": 0.1305,
2188
+ "step": 3500
2189
+ },
2190
+ {
2191
+ "epoch": 5.18,
2192
+ "learning_rate": 0.0002143363770977295,
2193
+ "loss": 0.1516,
2194
+ "step": 3510
2195
+ },
2196
+ {
2197
+ "epoch": 5.2,
2198
+ "learning_rate": 0.00021427862783810465,
2199
+ "loss": 0.1331,
2200
+ "step": 3520
2201
+ },
2202
+ {
2203
+ "epoch": 5.21,
2204
+ "learning_rate": 0.00021422087857847976,
2205
+ "loss": 0.1383,
2206
+ "step": 3530
2207
+ },
2208
+ {
2209
+ "epoch": 5.23,
2210
+ "learning_rate": 0.00021416312931885488,
2211
+ "loss": 0.1725,
2212
+ "step": 3540
2213
+ },
2214
+ {
2215
+ "epoch": 5.24,
2216
+ "learning_rate": 0.00021410538005923002,
2217
+ "loss": 0.1231,
2218
+ "step": 3550
2219
+ },
2220
+ {
2221
+ "epoch": 5.26,
2222
+ "learning_rate": 0.00021404763079960513,
2223
+ "loss": 0.1221,
2224
+ "step": 3560
2225
+ },
2226
+ {
2227
+ "epoch": 5.27,
2228
+ "learning_rate": 0.00021398988153998024,
2229
+ "loss": 0.1338,
2230
+ "step": 3570
2231
+ },
2232
+ {
2233
+ "epoch": 5.29,
2234
+ "learning_rate": 0.00021393213228035538,
2235
+ "loss": 0.149,
2236
+ "step": 3580
2237
+ },
2238
+ {
2239
+ "epoch": 5.3,
2240
+ "learning_rate": 0.0002138743830207305,
2241
+ "loss": 0.1826,
2242
+ "step": 3590
2243
+ },
2244
+ {
2245
+ "epoch": 5.32,
2246
+ "learning_rate": 0.00021381663376110563,
2247
+ "loss": 0.1227,
2248
+ "step": 3600
2249
+ },
2250
+ {
2251
+ "epoch": 5.32,
2252
+ "eval_cer": 0.1120133947258267,
2253
+ "eval_loss": 0.10438049584627151,
2254
+ "eval_runtime": 166.8135,
2255
+ "eval_samples_per_second": 14.273,
2256
+ "eval_steps_per_second": 0.48,
2257
+ "eval_wer": 0.9706005879882402,
2258
+ "step": 3600
2259
+ },
2260
+ {
2261
+ "epoch": 5.33,
2262
+ "learning_rate": 0.00021375888450148075,
2263
+ "loss": 0.1549,
2264
+ "step": 3610
2265
+ },
2266
+ {
2267
+ "epoch": 5.35,
2268
+ "learning_rate": 0.00021370113524185586,
2269
+ "loss": 0.1344,
2270
+ "step": 3620
2271
+ },
2272
+ {
2273
+ "epoch": 5.36,
2274
+ "learning_rate": 0.000213643385982231,
2275
+ "loss": 0.1332,
2276
+ "step": 3630
2277
+ },
2278
+ {
2279
+ "epoch": 5.38,
2280
+ "learning_rate": 0.0002135856367226061,
2281
+ "loss": 0.1962,
2282
+ "step": 3640
2283
+ },
2284
+ {
2285
+ "epoch": 5.39,
2286
+ "learning_rate": 0.00021352788746298123,
2287
+ "loss": 0.1639,
2288
+ "step": 3650
2289
+ },
2290
+ {
2291
+ "epoch": 5.41,
2292
+ "learning_rate": 0.00021347013820335637,
2293
+ "loss": 0.1347,
2294
+ "step": 3660
2295
+ },
2296
+ {
2297
+ "epoch": 5.42,
2298
+ "learning_rate": 0.00021341238894373148,
2299
+ "loss": 0.1247,
2300
+ "step": 3670
2301
+ },
2302
+ {
2303
+ "epoch": 5.44,
2304
+ "learning_rate": 0.0002133546396841066,
2305
+ "loss": 0.1204,
2306
+ "step": 3680
2307
+ },
2308
+ {
2309
+ "epoch": 5.45,
2310
+ "learning_rate": 0.00021329689042448173,
2311
+ "loss": 0.1719,
2312
+ "step": 3690
2313
+ },
2314
+ {
2315
+ "epoch": 5.47,
2316
+ "learning_rate": 0.00021323914116485685,
2317
+ "loss": 0.1347,
2318
+ "step": 3700
2319
+ },
2320
+ {
2321
+ "epoch": 5.48,
2322
+ "learning_rate": 0.00021318139190523196,
2323
+ "loss": 0.1365,
2324
+ "step": 3710
2325
+ },
2326
+ {
2327
+ "epoch": 5.49,
2328
+ "learning_rate": 0.0002131236426456071,
2329
+ "loss": 0.1205,
2330
+ "step": 3720
2331
+ },
2332
+ {
2333
+ "epoch": 5.51,
2334
+ "learning_rate": 0.0002130658933859822,
2335
+ "loss": 0.115,
2336
+ "step": 3730
2337
+ },
2338
+ {
2339
+ "epoch": 5.52,
2340
+ "learning_rate": 0.00021300814412635735,
2341
+ "loss": 0.185,
2342
+ "step": 3740
2343
+ },
2344
+ {
2345
+ "epoch": 5.54,
2346
+ "learning_rate": 0.0002129503948667325,
2347
+ "loss": 0.142,
2348
+ "step": 3750
2349
+ },
2350
+ {
2351
+ "epoch": 5.55,
2352
+ "learning_rate": 0.0002128926456071076,
2353
+ "loss": 0.1271,
2354
+ "step": 3760
2355
+ },
2356
+ {
2357
+ "epoch": 5.57,
2358
+ "learning_rate": 0.00021283489634748274,
2359
+ "loss": 0.1131,
2360
+ "step": 3770
2361
+ },
2362
+ {
2363
+ "epoch": 5.58,
2364
+ "learning_rate": 0.00021277714708785786,
2365
+ "loss": 0.1687,
2366
+ "step": 3780
2367
+ },
2368
+ {
2369
+ "epoch": 5.6,
2370
+ "learning_rate": 0.00021271939782823297,
2371
+ "loss": 0.1643,
2372
+ "step": 3790
2373
+ },
2374
+ {
2375
+ "epoch": 5.61,
2376
+ "learning_rate": 0.0002126616485686081,
2377
+ "loss": 0.1241,
2378
+ "step": 3800
2379
+ },
2380
+ {
2381
+ "epoch": 5.63,
2382
+ "learning_rate": 0.00021260389930898322,
2383
+ "loss": 0.1178,
2384
+ "step": 3810
2385
+ },
2386
+ {
2387
+ "epoch": 5.64,
2388
+ "learning_rate": 0.00021254615004935834,
2389
+ "loss": 0.1287,
2390
+ "step": 3820
2391
+ },
2392
+ {
2393
+ "epoch": 5.66,
2394
+ "learning_rate": 0.00021248840078973348,
2395
+ "loss": 0.1464,
2396
+ "step": 3830
2397
+ },
2398
+ {
2399
+ "epoch": 5.67,
2400
+ "learning_rate": 0.0002124306515301086,
2401
+ "loss": 0.1721,
2402
+ "step": 3840
2403
+ },
2404
+ {
2405
+ "epoch": 5.69,
2406
+ "learning_rate": 0.0002123729022704837,
2407
+ "loss": 0.1249,
2408
+ "step": 3850
2409
+ },
2410
+ {
2411
+ "epoch": 5.7,
2412
+ "learning_rate": 0.00021231515301085884,
2413
+ "loss": 0.1276,
2414
+ "step": 3860
2415
+ },
2416
+ {
2417
+ "epoch": 5.72,
2418
+ "learning_rate": 0.00021225740375123395,
2419
+ "loss": 0.1106,
2420
+ "step": 3870
2421
+ },
2422
+ {
2423
+ "epoch": 5.73,
2424
+ "learning_rate": 0.00021219965449160907,
2425
+ "loss": 0.1401,
2426
+ "step": 3880
2427
+ },
2428
+ {
2429
+ "epoch": 5.75,
2430
+ "learning_rate": 0.0002121419052319842,
2431
+ "loss": 0.1725,
2432
+ "step": 3890
2433
+ },
2434
+ {
2435
+ "epoch": 5.76,
2436
+ "learning_rate": 0.00021208415597235932,
2437
+ "loss": 0.1278,
2438
+ "step": 3900
2439
+ },
2440
+ {
2441
+ "epoch": 5.78,
2442
+ "learning_rate": 0.00021202640671273446,
2443
+ "loss": 0.122,
2444
+ "step": 3910
2445
+ },
2446
+ {
2447
+ "epoch": 5.79,
2448
+ "learning_rate": 0.00021196865745310957,
2449
+ "loss": 0.1494,
2450
+ "step": 3920
2451
+ },
2452
+ {
2453
+ "epoch": 5.81,
2454
+ "learning_rate": 0.00021191090819348469,
2455
+ "loss": 0.123,
2456
+ "step": 3930
2457
+ },
2458
+ {
2459
+ "epoch": 5.82,
2460
+ "learning_rate": 0.00021185315893385983,
2461
+ "loss": 0.1845,
2462
+ "step": 3940
2463
+ },
2464
+ {
2465
+ "epoch": 5.83,
2466
+ "learning_rate": 0.00021179540967423494,
2467
+ "loss": 0.1123,
2468
+ "step": 3950
2469
+ },
2470
+ {
2471
+ "epoch": 5.85,
2472
+ "learning_rate": 0.00021173766041461005,
2473
+ "loss": 0.1372,
2474
+ "step": 3960
2475
+ },
2476
+ {
2477
+ "epoch": 5.86,
2478
+ "learning_rate": 0.0002116799111549852,
2479
+ "loss": 0.1328,
2480
+ "step": 3970
2481
+ },
2482
+ {
2483
+ "epoch": 5.88,
2484
+ "learning_rate": 0.0002116221618953603,
2485
+ "loss": 0.1381,
2486
+ "step": 3980
2487
+ },
2488
+ {
2489
+ "epoch": 5.89,
2490
+ "learning_rate": 0.00021156441263573542,
2491
+ "loss": 0.1655,
2492
+ "step": 3990
2493
+ },
2494
+ {
2495
+ "epoch": 5.91,
2496
+ "learning_rate": 0.00021150666337611056,
2497
+ "loss": 0.1214,
2498
+ "step": 4000
2499
+ },
2500
+ {
2501
+ "epoch": 5.91,
2502
+ "eval_cer": 0.17154218740656582,
2503
+ "eval_loss": 0.0955534353852272,
2504
+ "eval_runtime": 165.9473,
2505
+ "eval_samples_per_second": 14.348,
2506
+ "eval_steps_per_second": 0.482,
2507
+ "eval_wer": 0.9815203695926081,
2508
+ "step": 4000
2509
+ },
2510
+ {
2511
+ "epoch": 5.92,
2512
+ "learning_rate": 0.00021144891411648567,
2513
+ "loss": 0.1512,
2514
+ "step": 4010
2515
+ },
2516
+ {
2517
+ "epoch": 5.94,
2518
+ "learning_rate": 0.00021139116485686078,
2519
+ "loss": 0.1352,
2520
+ "step": 4020
2521
+ },
2522
+ {
2523
+ "epoch": 5.95,
2524
+ "learning_rate": 0.00021133341559723592,
2525
+ "loss": 0.1583,
2526
+ "step": 4030
2527
+ },
2528
+ {
2529
+ "epoch": 5.97,
2530
+ "learning_rate": 0.00021127566633761104,
2531
+ "loss": 0.1663,
2532
+ "step": 4040
2533
+ },
2534
+ {
2535
+ "epoch": 5.98,
2536
+ "learning_rate": 0.00021121791707798618,
2537
+ "loss": 0.1244,
2538
+ "step": 4050
2539
+ },
2540
+ {
2541
+ "epoch": 6.0,
2542
+ "learning_rate": 0.0002111601678183613,
2543
+ "loss": 0.1249,
2544
+ "step": 4060
2545
+ },
2546
+ {
2547
+ "epoch": 6.01,
2548
+ "learning_rate": 0.00021110241855873643,
2549
+ "loss": 0.1476,
2550
+ "step": 4070
2551
+ },
2552
+ {
2553
+ "epoch": 6.03,
2554
+ "learning_rate": 0.00021104466929911157,
2555
+ "loss": 0.1145,
2556
+ "step": 4080
2557
+ },
2558
+ {
2559
+ "epoch": 6.04,
2560
+ "learning_rate": 0.00021098692003948668,
2561
+ "loss": 0.125,
2562
+ "step": 4090
2563
+ },
2564
+ {
2565
+ "epoch": 6.06,
2566
+ "learning_rate": 0.0002109291707798618,
2567
+ "loss": 0.1257,
2568
+ "step": 4100
2569
+ },
2570
+ {
2571
+ "epoch": 6.07,
2572
+ "learning_rate": 0.00021087142152023694,
2573
+ "loss": 0.1312,
2574
+ "step": 4110
2575
+ },
2576
+ {
2577
+ "epoch": 6.09,
2578
+ "learning_rate": 0.00021081367226061205,
2579
+ "loss": 0.1667,
2580
+ "step": 4120
2581
+ },
2582
+ {
2583
+ "epoch": 6.1,
2584
+ "learning_rate": 0.00021075592300098716,
2585
+ "loss": 0.1385,
2586
+ "step": 4130
2587
+ },
2588
+ {
2589
+ "epoch": 6.12,
2590
+ "learning_rate": 0.0002106981737413623,
2591
+ "loss": 0.1052,
2592
+ "step": 4140
2593
+ },
2594
+ {
2595
+ "epoch": 6.13,
2596
+ "learning_rate": 0.00021064042448173741,
2597
+ "loss": 0.1436,
2598
+ "step": 4150
2599
+ },
2600
+ {
2601
+ "epoch": 6.14,
2602
+ "learning_rate": 0.00021058267522211253,
2603
+ "loss": 0.1238,
2604
+ "step": 4160
2605
+ },
2606
+ {
2607
+ "epoch": 6.16,
2608
+ "learning_rate": 0.00021052492596248767,
2609
+ "loss": 0.1597,
2610
+ "step": 4170
2611
+ },
2612
+ {
2613
+ "epoch": 6.17,
2614
+ "learning_rate": 0.00021046717670286278,
2615
+ "loss": 0.1195,
2616
+ "step": 4180
2617
+ },
2618
+ {
2619
+ "epoch": 6.19,
2620
+ "learning_rate": 0.0002104094274432379,
2621
+ "loss": 0.1236,
2622
+ "step": 4190
2623
+ },
2624
+ {
2625
+ "epoch": 6.2,
2626
+ "learning_rate": 0.00021035167818361303,
2627
+ "loss": 0.131,
2628
+ "step": 4200
2629
+ },
2630
+ {
2631
+ "epoch": 6.22,
2632
+ "learning_rate": 0.00021029392892398815,
2633
+ "loss": 0.1599,
2634
+ "step": 4210
2635
+ },
2636
+ {
2637
+ "epoch": 6.23,
2638
+ "learning_rate": 0.00021023617966436329,
2639
+ "loss": 0.1528,
2640
+ "step": 4220
2641
+ },
2642
+ {
2643
+ "epoch": 6.25,
2644
+ "learning_rate": 0.0002101784304047384,
2645
+ "loss": 0.1046,
2646
+ "step": 4230
2647
+ },
2648
+ {
2649
+ "epoch": 6.26,
2650
+ "learning_rate": 0.0002101206811451135,
2651
+ "loss": 0.1251,
2652
+ "step": 4240
2653
+ },
2654
+ {
2655
+ "epoch": 6.28,
2656
+ "learning_rate": 0.00021006293188548865,
2657
+ "loss": 0.1403,
2658
+ "step": 4250
2659
+ },
2660
+ {
2661
+ "epoch": 6.29,
2662
+ "learning_rate": 0.00021000518262586376,
2663
+ "loss": 0.1351,
2664
+ "step": 4260
2665
+ },
2666
+ {
2667
+ "epoch": 6.31,
2668
+ "learning_rate": 0.00020994743336623888,
2669
+ "loss": 0.1858,
2670
+ "step": 4270
2671
+ },
2672
+ {
2673
+ "epoch": 6.32,
2674
+ "learning_rate": 0.00020988968410661402,
2675
+ "loss": 0.1426,
2676
+ "step": 4280
2677
+ },
2678
+ {
2679
+ "epoch": 6.34,
2680
+ "learning_rate": 0.00020983193484698913,
2681
+ "loss": 0.121,
2682
+ "step": 4290
2683
+ },
2684
+ {
2685
+ "epoch": 6.35,
2686
+ "learning_rate": 0.00020977418558736424,
2687
+ "loss": 0.1312,
2688
+ "step": 4300
2689
+ },
2690
+ {
2691
+ "epoch": 6.37,
2692
+ "learning_rate": 0.00020971643632773938,
2693
+ "loss": 0.1339,
2694
+ "step": 4310
2695
+ },
2696
+ {
2697
+ "epoch": 6.38,
2698
+ "learning_rate": 0.0002096586870681145,
2699
+ "loss": 0.1572,
2700
+ "step": 4320
2701
+ },
2702
+ {
2703
+ "epoch": 6.4,
2704
+ "learning_rate": 0.0002096009378084896,
2705
+ "loss": 0.1363,
2706
+ "step": 4330
2707
+ },
2708
+ {
2709
+ "epoch": 6.41,
2710
+ "learning_rate": 0.00020954318854886475,
2711
+ "loss": 0.1165,
2712
+ "step": 4340
2713
+ },
2714
+ {
2715
+ "epoch": 6.43,
2716
+ "learning_rate": 0.00020948543928923986,
2717
+ "loss": 0.1348,
2718
+ "step": 4350
2719
+ },
2720
+ {
2721
+ "epoch": 6.44,
2722
+ "learning_rate": 0.000209427690029615,
2723
+ "loss": 0.1251,
2724
+ "step": 4360
2725
+ },
2726
+ {
2727
+ "epoch": 6.45,
2728
+ "learning_rate": 0.00020936994076999012,
2729
+ "loss": 0.1619,
2730
+ "step": 4370
2731
+ },
2732
+ {
2733
+ "epoch": 6.47,
2734
+ "learning_rate": 0.00020931219151036526,
2735
+ "loss": 0.1307,
2736
+ "step": 4380
2737
+ },
2738
+ {
2739
+ "epoch": 6.48,
2740
+ "learning_rate": 0.0002092544422507404,
2741
+ "loss": 0.1258,
2742
+ "step": 4390
2743
+ },
2744
+ {
2745
+ "epoch": 6.5,
2746
+ "learning_rate": 0.0002091966929911155,
2747
+ "loss": 0.1169,
2748
+ "step": 4400
2749
+ },
2750
+ {
2751
+ "epoch": 6.5,
2752
+ "eval_cer": 0.1349219637624828,
2753
+ "eval_loss": 0.0982118621468544,
2754
+ "eval_runtime": 165.5517,
2755
+ "eval_samples_per_second": 14.382,
2756
+ "eval_steps_per_second": 0.483,
2757
+ "eval_wer": 0.9815203695926081,
2758
+ "step": 4400
2759
+ },
2760
+ {
2761
+ "epoch": 6.51,
2762
+ "learning_rate": 0.00020913894373149062,
2763
+ "loss": 0.1491,
2764
+ "step": 4410
2765
+ },
2766
+ {
2767
+ "epoch": 6.53,
2768
+ "learning_rate": 0.00020908119447186576,
2769
+ "loss": 0.1562,
2770
+ "step": 4420
2771
+ },
2772
+ {
2773
+ "epoch": 6.54,
2774
+ "learning_rate": 0.00020902344521224087,
2775
+ "loss": 0.1651,
2776
+ "step": 4430
2777
+ },
2778
+ {
2779
+ "epoch": 6.56,
2780
+ "learning_rate": 0.000208965695952616,
2781
+ "loss": 0.1447,
2782
+ "step": 4440
2783
+ },
2784
+ {
2785
+ "epoch": 6.57,
2786
+ "learning_rate": 0.00020890794669299113,
2787
+ "loss": 0.1284,
2788
+ "step": 4450
2789
+ },
2790
+ {
2791
+ "epoch": 6.59,
2792
+ "learning_rate": 0.00020885019743336624,
2793
+ "loss": 0.1374,
2794
+ "step": 4460
2795
+ },
2796
+ {
2797
+ "epoch": 6.6,
2798
+ "learning_rate": 0.00020879244817374135,
2799
+ "loss": 0.1388,
2800
+ "step": 4470
2801
+ },
2802
+ {
2803
+ "epoch": 6.62,
2804
+ "learning_rate": 0.0002087346989141165,
2805
+ "loss": 0.1255,
2806
+ "step": 4480
2807
+ },
2808
+ {
2809
+ "epoch": 6.63,
2810
+ "learning_rate": 0.0002086769496544916,
2811
+ "loss": 0.1194,
2812
+ "step": 4490
2813
+ },
2814
+ {
2815
+ "epoch": 6.65,
2816
+ "learning_rate": 0.00020861920039486672,
2817
+ "loss": 0.1333,
2818
+ "step": 4500
2819
+ },
2820
+ {
2821
+ "epoch": 6.66,
2822
+ "learning_rate": 0.00020856145113524186,
2823
+ "loss": 0.1433,
2824
+ "step": 4510
2825
+ },
2826
+ {
2827
+ "epoch": 6.68,
2828
+ "learning_rate": 0.00020850370187561697,
2829
+ "loss": 0.143,
2830
+ "step": 4520
2831
+ },
2832
+ {
2833
+ "epoch": 6.69,
2834
+ "learning_rate": 0.0002084459526159921,
2835
+ "loss": 0.1392,
2836
+ "step": 4530
2837
+ },
2838
+ {
2839
+ "epoch": 6.71,
2840
+ "learning_rate": 0.00020838820335636722,
2841
+ "loss": 0.1325,
2842
+ "step": 4540
2843
+ },
2844
+ {
2845
+ "epoch": 6.72,
2846
+ "learning_rate": 0.00020833045409674234,
2847
+ "loss": 0.1197,
2848
+ "step": 4550
2849
+ },
2850
+ {
2851
+ "epoch": 6.74,
2852
+ "learning_rate": 0.00020827270483711748,
2853
+ "loss": 0.1346,
2854
+ "step": 4560
2855
+ },
2856
+ {
2857
+ "epoch": 6.75,
2858
+ "learning_rate": 0.0002082149555774926,
2859
+ "loss": 0.1403,
2860
+ "step": 4570
2861
+ },
2862
+ {
2863
+ "epoch": 6.77,
2864
+ "learning_rate": 0.0002081572063178677,
2865
+ "loss": 0.1181,
2866
+ "step": 4580
2867
+ },
2868
+ {
2869
+ "epoch": 6.78,
2870
+ "learning_rate": 0.00020809945705824284,
2871
+ "loss": 0.1239,
2872
+ "step": 4590
2873
+ },
2874
+ {
2875
+ "epoch": 6.79,
2876
+ "learning_rate": 0.00020804170779861796,
2877
+ "loss": 0.1675,
2878
+ "step": 4600
2879
+ },
2880
+ {
2881
+ "epoch": 6.81,
2882
+ "learning_rate": 0.00020798395853899307,
2883
+ "loss": 0.1435,
2884
+ "step": 4610
2885
+ },
2886
+ {
2887
+ "epoch": 6.82,
2888
+ "learning_rate": 0.0002079262092793682,
2889
+ "loss": 0.1441,
2890
+ "step": 4620
2891
+ },
2892
+ {
2893
+ "epoch": 6.84,
2894
+ "learning_rate": 0.00020786846001974332,
2895
+ "loss": 0.1482,
2896
+ "step": 4630
2897
+ },
2898
+ {
2899
+ "epoch": 6.85,
2900
+ "learning_rate": 0.00020781071076011844,
2901
+ "loss": 0.1217,
2902
+ "step": 4640
2903
+ },
2904
+ {
2905
+ "epoch": 6.87,
2906
+ "learning_rate": 0.00020775296150049358,
2907
+ "loss": 0.1092,
2908
+ "step": 4650
2909
+ },
2910
+ {
2911
+ "epoch": 6.88,
2912
+ "learning_rate": 0.0002076952122408687,
2913
+ "loss": 0.1154,
2914
+ "step": 4660
2915
+ },
2916
+ {
2917
+ "epoch": 6.9,
2918
+ "learning_rate": 0.00020763746298124383,
2919
+ "loss": 0.1945,
2920
+ "step": 4670
2921
+ },
2922
+ {
2923
+ "epoch": 6.91,
2924
+ "learning_rate": 0.00020757971372161894,
2925
+ "loss": 0.1312,
2926
+ "step": 4680
2927
+ },
2928
+ {
2929
+ "epoch": 6.93,
2930
+ "learning_rate": 0.00020752196446199405,
2931
+ "loss": 0.1162,
2932
+ "step": 4690
2933
+ },
2934
+ {
2935
+ "epoch": 6.94,
2936
+ "learning_rate": 0.00020746421520236922,
2937
+ "loss": 0.1188,
2938
+ "step": 4700
2939
+ },
2940
+ {
2941
+ "epoch": 6.96,
2942
+ "learning_rate": 0.00020740646594274433,
2943
+ "loss": 0.1391,
2944
+ "step": 4710
2945
+ },
2946
+ {
2947
+ "epoch": 6.97,
2948
+ "learning_rate": 0.00020734871668311945,
2949
+ "loss": 0.1672,
2950
+ "step": 4720
2951
+ },
2952
+ {
2953
+ "epoch": 6.99,
2954
+ "learning_rate": 0.0002072909674234946,
2955
+ "loss": 0.1429,
2956
+ "step": 4730
2957
+ },
2958
+ {
2959
+ "epoch": 7.0,
2960
+ "learning_rate": 0.0002072332181638697,
2961
+ "loss": 0.1438,
2962
+ "step": 4740
2963
+ },
2964
+ {
2965
+ "epoch": 7.02,
2966
+ "learning_rate": 0.0002071754689042448,
2967
+ "loss": 0.1274,
2968
+ "step": 4750
2969
+ },
2970
+ {
2971
+ "epoch": 7.03,
2972
+ "learning_rate": 0.00020711771964461995,
2973
+ "loss": 0.1086,
2974
+ "step": 4760
2975
+ },
2976
+ {
2977
+ "epoch": 7.05,
2978
+ "learning_rate": 0.00020705997038499507,
2979
+ "loss": 0.1207,
2980
+ "step": 4770
2981
+ },
2982
+ {
2983
+ "epoch": 7.06,
2984
+ "learning_rate": 0.00020700222112537018,
2985
+ "loss": 0.1179,
2986
+ "step": 4780
2987
+ },
2988
+ {
2989
+ "epoch": 7.08,
2990
+ "learning_rate": 0.00020694447186574532,
2991
+ "loss": 0.1464,
2992
+ "step": 4790
2993
+ },
2994
+ {
2995
+ "epoch": 7.09,
2996
+ "learning_rate": 0.00020688672260612043,
2997
+ "loss": 0.1115,
2998
+ "step": 4800
2999
+ },
3000
+ {
3001
+ "epoch": 7.09,
3002
+ "eval_cer": 0.15084614004664235,
3003
+ "eval_loss": 0.10529889166355133,
3004
+ "eval_runtime": 167.4152,
3005
+ "eval_samples_per_second": 14.222,
3006
+ "eval_steps_per_second": 0.478,
3007
+ "eval_wer": 0.9844603107937842,
3008
+ "step": 4800
3009
+ },
3010
+ {
3011
+ "epoch": 7.1,
3012
+ "learning_rate": 0.00020682897334649554,
3013
+ "loss": 0.1201,
3014
+ "step": 4810
3015
+ },
3016
+ {
3017
+ "epoch": 7.12,
3018
+ "learning_rate": 0.00020677122408687068,
3019
+ "loss": 0.1359,
3020
+ "step": 4820
3021
+ },
3022
+ {
3023
+ "epoch": 7.13,
3024
+ "learning_rate": 0.0002067134748272458,
3025
+ "loss": 0.1161,
3026
+ "step": 4830
3027
+ },
3028
+ {
3029
+ "epoch": 7.15,
3030
+ "learning_rate": 0.00020665572556762094,
3031
+ "loss": 0.1579,
3032
+ "step": 4840
3033
+ },
3034
+ {
3035
+ "epoch": 7.16,
3036
+ "learning_rate": 0.00020659797630799605,
3037
+ "loss": 0.1196,
3038
+ "step": 4850
3039
+ },
3040
+ {
3041
+ "epoch": 7.18,
3042
+ "learning_rate": 0.00020654022704837116,
3043
+ "loss": 0.1122,
3044
+ "step": 4860
3045
+ },
3046
+ {
3047
+ "epoch": 7.19,
3048
+ "learning_rate": 0.0002064824777887463,
3049
+ "loss": 0.1323,
3050
+ "step": 4870
3051
+ },
3052
+ {
3053
+ "epoch": 7.21,
3054
+ "learning_rate": 0.00020642472852912142,
3055
+ "loss": 0.14,
3056
+ "step": 4880
3057
+ },
3058
+ {
3059
+ "epoch": 7.22,
3060
+ "learning_rate": 0.00020636697926949653,
3061
+ "loss": 0.1683,
3062
+ "step": 4890
3063
+ },
3064
+ {
3065
+ "epoch": 7.24,
3066
+ "learning_rate": 0.00020630923000987167,
3067
+ "loss": 0.1203,
3068
+ "step": 4900
3069
+ },
3070
+ {
3071
+ "epoch": 7.25,
3072
+ "learning_rate": 0.00020625148075024678,
3073
+ "loss": 0.1275,
3074
+ "step": 4910
3075
+ },
3076
+ {
3077
+ "epoch": 7.27,
3078
+ "learning_rate": 0.0002061937314906219,
3079
+ "loss": 0.1206,
3080
+ "step": 4920
3081
+ },
3082
+ {
3083
+ "epoch": 7.28,
3084
+ "learning_rate": 0.00020613598223099704,
3085
+ "loss": 0.127,
3086
+ "step": 4930
3087
+ },
3088
+ {
3089
+ "epoch": 7.3,
3090
+ "learning_rate": 0.00020607823297137215,
3091
+ "loss": 0.1551,
3092
+ "step": 4940
3093
+ },
3094
+ {
3095
+ "epoch": 7.31,
3096
+ "learning_rate": 0.00020602048371174726,
3097
+ "loss": 0.1446,
3098
+ "step": 4950
3099
+ },
3100
+ {
3101
+ "epoch": 7.33,
3102
+ "learning_rate": 0.0002059627344521224,
3103
+ "loss": 0.1283,
3104
+ "step": 4960
3105
+ },
3106
+ {
3107
+ "epoch": 7.34,
3108
+ "learning_rate": 0.00020590498519249751,
3109
+ "loss": 0.1253,
3110
+ "step": 4970
3111
+ },
3112
+ {
3113
+ "epoch": 7.36,
3114
+ "learning_rate": 0.00020584723593287265,
3115
+ "loss": 0.1143,
3116
+ "step": 4980
3117
+ },
3118
+ {
3119
+ "epoch": 7.37,
3120
+ "learning_rate": 0.00020578948667324777,
3121
+ "loss": 0.1261,
3122
+ "step": 4990
3123
+ },
3124
+ {
3125
+ "epoch": 7.39,
3126
+ "learning_rate": 0.00020573173741362288,
3127
+ "loss": 0.1282,
3128
+ "step": 5000
3129
+ },
3130
+ {
3131
+ "epoch": 7.4,
3132
+ "learning_rate": 0.00020567398815399802,
3133
+ "loss": 0.1288,
3134
+ "step": 5010
3135
+ },
3136
+ {
3137
+ "epoch": 7.42,
3138
+ "learning_rate": 0.00020561623889437316,
3139
+ "loss": 0.105,
3140
+ "step": 5020
3141
+ },
3142
+ {
3143
+ "epoch": 7.43,
3144
+ "learning_rate": 0.00020555848963474827,
3145
+ "loss": 0.1218,
3146
+ "step": 5030
3147
+ },
3148
+ {
3149
+ "epoch": 7.44,
3150
+ "learning_rate": 0.0002055007403751234,
3151
+ "loss": 0.1393,
3152
+ "step": 5040
3153
+ },
3154
+ {
3155
+ "epoch": 7.46,
3156
+ "learning_rate": 0.00020544299111549853,
3157
+ "loss": 0.1122,
3158
+ "step": 5050
3159
+ },
3160
+ {
3161
+ "epoch": 7.47,
3162
+ "learning_rate": 0.00020538524185587364,
3163
+ "loss": 0.1103,
3164
+ "step": 5060
3165
+ },
3166
+ {
3167
+ "epoch": 7.49,
3168
+ "learning_rate": 0.00020532749259624878,
3169
+ "loss": 0.0996,
3170
+ "step": 5070
3171
+ },
3172
+ {
3173
+ "epoch": 7.5,
3174
+ "learning_rate": 0.0002052697433366239,
3175
+ "loss": 0.1136,
3176
+ "step": 5080
3177
+ },
3178
+ {
3179
+ "epoch": 7.52,
3180
+ "learning_rate": 0.000205211994076999,
3181
+ "loss": 0.1593,
3182
+ "step": 5090
3183
+ },
3184
+ {
3185
+ "epoch": 7.53,
3186
+ "learning_rate": 0.00020515424481737414,
3187
+ "loss": 0.1223,
3188
+ "step": 5100
3189
+ },
3190
+ {
3191
+ "epoch": 7.55,
3192
+ "learning_rate": 0.00020509649555774926,
3193
+ "loss": 0.1164,
3194
+ "step": 5110
3195
+ },
3196
+ {
3197
+ "epoch": 7.56,
3198
+ "learning_rate": 0.00020503874629812437,
3199
+ "loss": 0.1101,
3200
+ "step": 5120
3201
+ },
3202
+ {
3203
+ "epoch": 7.58,
3204
+ "learning_rate": 0.0002049809970384995,
3205
+ "loss": 0.1082,
3206
+ "step": 5130
3207
+ },
3208
+ {
3209
+ "epoch": 7.59,
3210
+ "learning_rate": 0.00020492324777887462,
3211
+ "loss": 0.1355,
3212
+ "step": 5140
3213
+ },
3214
+ {
3215
+ "epoch": 7.61,
3216
+ "learning_rate": 0.00020486549851924976,
3217
+ "loss": 0.1187,
3218
+ "step": 5150
3219
+ },
3220
+ {
3221
+ "epoch": 7.62,
3222
+ "learning_rate": 0.00020480774925962488,
3223
+ "loss": 0.1147,
3224
+ "step": 5160
3225
+ },
3226
+ {
3227
+ "epoch": 7.64,
3228
+ "learning_rate": 0.00020475,
3229
+ "loss": 0.1072,
3230
+ "step": 5170
3231
+ },
3232
+ {
3233
+ "epoch": 7.65,
3234
+ "learning_rate": 0.00020469225074037513,
3235
+ "loss": 0.1298,
3236
+ "step": 5180
3237
+ },
3238
+ {
3239
+ "epoch": 7.67,
3240
+ "learning_rate": 0.00020463450148075024,
3241
+ "loss": 0.1563,
3242
+ "step": 5190
3243
+ },
3244
+ {
3245
+ "epoch": 7.68,
3246
+ "learning_rate": 0.00020457675222112536,
3247
+ "loss": 0.1066,
3248
+ "step": 5200
3249
+ },
3250
+ {
3251
+ "epoch": 7.68,
3252
+ "eval_cer": 0.10776774502182623,
3253
+ "eval_loss": 0.09926649183034897,
3254
+ "eval_runtime": 165.9352,
3255
+ "eval_samples_per_second": 14.349,
3256
+ "eval_steps_per_second": 0.482,
3257
+ "eval_wer": 0.9601007979840404,
3258
+ "step": 5200
3259
+ }
3260
+ ],
3261
+ "max_steps": 40620,
3262
+ "num_train_epochs": 60,
3263
+ "total_flos": 5.489095218329608e+19,
3264
+ "trial_name": null,
3265
+ "trial_params": null
3266
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f56f31de078a68ec0236b863c9f14d7668d3a1377ed31d3ae07ae71d6b4e959d
3
+ size 3119
vocab.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"<s>": 1, "<pad>": 0, "</s>": 2, "<unk>": 3, "n": 4, "s": 5, "t": 6, "ə": 7, "l": 8, "a": 9, "i": 10, "k": 11, "d": 12, "m": 13, "ɛ": 14, "ɾ": 15, "e": 16, "ɪ": 17, "p": 18, "o": 19, "ɐ": 20, "z": 21, "ð": 22, "f": 23, "j": 24, "v": 25, "b": 26, "ɹ": 27, "ʁ": 28, "ʊ": 29, "iː": 30, "r": 31, "w": 32, "ʌ": 33, "u": 34, "ɡ": 35, "æ": 36, "aɪ": 37, "ʃ": 38, "h": 39, "ɔ": 40, "ɑː": 41, "ŋ": 42, "ɚ": 43, "eɪ": 44, "β": 45, "uː": 46, "y": 47, "ɑ̃": 48, "oʊ": 49, "ᵻ": 50, "eː": 51, "θ": 52, "aʊ": 53, "ts": 54, "oː": 55, "ɔ̃": 56, "ɣ": 57, "ɜ": 58, "ɑ": 59, "dʒ": 60, "əl": 61, "x": 62, "ɜː": 63, "ç": 64, "ʒ": 65, "tʃ": 66, "ɔː": 67, "ɑːɹ": 68, "ɛ̃": 69, "ʎ": 70, "ɔːɹ": 71, "ʋ": 72, "aː": 73, "ɕ": 74, "œ": 75, "ø": 76, "oːɹ": 77, "ɲ": 78, "yː": 79, "ʔ": 80, "iə": 81, "i5": 82, "s.": 83, "tɕ": 84, "??": 85, "nʲ": 86, "ɛː": 87, "œ̃": 88, "ɭ": 89, "ɔø": 90, "ʑ": 91, "tʲ": 92, "ɨ": 93, "ɛɹ": 94, "ts.": 95, "rʲ": 96, "ɪɹ": 97, "ɭʲ": 98, "i.5": 99, "ɔɪ": 100, "q": 101, "sʲ": 102, "u5": 103, "ʊɹ": 104, "iɜ": 105, "a5": 106, "iɛ5": 107, "øː": 108, "ʕ": 109, "ja": 110, "əɜ": 111, "th": 112, "ɑ5": 113, "oɪ": 114, "dʲ": 115, "ə5": 116, "tɕh": 117, "ts.h": 118, "mʲ": 119, "ɯ": 120, "dʑ": 121, "vʲ": 122, "e̞": 123, "tʃʲ": 124, "ei5": 125, "o5": 126, "onɡ5": 127, "ɑu5": 128, "iɑ5": 129, "ai5": 130, "aɪɚ": 131, "kh": 132, "ə1": 133, "ʐ": 134, "i2": 135, "ʉ": 136, "ħ": 137, "t[": 138, "aɪə": 139, "ʲ": 140, "ju": 141, "ə2": 142, "u2": 143, "oɜ": 144, "pː": 145, "iɛɜ": 146, "ou5": 147, "y5": 148, "uɜ": 149, "tː": 150, "uo5": 151, "d[": 152, "uoɜ": 153, "tsh": 154, "ɑɜ": 155, "ɵ": 156, "i̪5": 157, "uei5": 158, "ɟ": 159, "aɜ": 160, "ɑɨ": 161, "i.ɜ": 162, "eʊ": 163, "o2": 164, "ɐ̃": 165, "ä": 166, "pʲ": 167, "kʲ": 168, "n̩": 169, "ɒ": 170, "ph": 171, "ɑu2": 172, "uɨ": 173, "əɪ": 174, "ɫ": 175, "ɬ": 176, "yɜ": 177, "bʲ": 178, "ɑ2": 179, "s̪": 180, "aiɜ": 181, "χ": 182, "ɐ̃ʊ̃": 183, "1": 184, "ə4": 185, "yæɜ": 186, "a2": 187, "ɨː": 188, "t̪": 189, "iouɜ": 190, "ũ": 191, "onɡɜ": 192, "aɨ": 193, "iɛ2": 194, "ɔɨ": 195, "ɑuɜ": 196, "o̞": 197, "ei2": 198, "iou2": 199, "c": 200, "kː": 201, "y2": 202, "ɖ": 203, "oe": 204, "dˤ": 205, "yɛɜ": 206, "əʊ": 207, "S": 208, "ɡʲ": 209, "onɡ2": 210, "u\"": 211, "eiɜ": 212, "ʈ": 213, "ɯᵝ": 214, "iou5": 215, "dZ": 216, "r̝̊": 217, "i.2": 218, "tS": 219, "s^": 220, "ʝ": 221, "yə5": 222, "iɑɜ": 223, "uə5": 224, "pf": 225, "ɨu": 226, "iɑ2": 227, "ou2": 228, "ər2": 229, "fʲ": 230, "ai2": 231, "r̝": 232, "uəɜ": 233, "ɳ": 234, "əɨ": 235, "ua5": 236, "uɪ": 237, "ɽ": 238, "bː": 239, "yu5": 240, "uo2": 241, "yɛ5": 242, "l̩": 243, "ɻ": 244, "ərɜ": 245, "ʂ": 246, "i̪2": 247, "ouɜ": 248, "uaɜ": 249, "a.": 250, "a.ː": 251, "yæ5": 252, "dː": 253, "r̩": 254, "ee": 255, "ɪu": 256, "ər5": 257, "i̪ɜ": 258, "æi": 259, "u:": 260, "i.ː": 261, "t^": 262, "o1": 263, "ɪ^": 264, "ai": 265, "ueiɜ": 266, "æː": 267, "ɛɪ": 268, "eə": 269, "i.": 270, "ɴ": 271, "ie": 272, "ua2": 273, "ɑ1": 274, "o4": 275, "tʃː": 276, "o:": 277, "ɑ:": 278, "u1": 279, "N": 280, "i̪1": 281, "au": 282, "yæ2": 283, "u.": 284, "qː": 285, "yəɜ": 286, "y:": 287, "kʰ": 288, "tʃʰ": 289, "iʊ": 290, "sx": 291, "õ": 292, "uo": 293, "tʰ": 294, "uai5": 295, "bʰ": 296, "u.ː": 297, "uə2": 298, "ʊə": 299, "d^": 300, "s̪ː": 301, "yiɜ": 302, "dʰ": 303, "r.": 304, "oe:": 305, "i1": 306, "ɟː": 307, "yu2": 308, "nʲʲ": 309, "i̪4": 310, "uei2": 311, "tsʲ": 312, "ɸ": 313, "ĩ": 314, "ɑ4": 315, "t̪ː": 316, "eɑ": 317, "u4": 318, "e:": 319, "tsː": 320, "ʈʰ": 321, "ɡʰ": 322, "ɯɯ": 323, "dʒʲ": 324, "ʂʲ": 325, "X": 326, "ɵː": 327, "uaiɜ": 328, "tɕʲ": 329, "ã": 330, "t^ː": 331, "ẽː": 332, "yɛ2": 333, "cː": 334, "i.1": 335, "ɛʊ": 336, "dˤdˤ": 337, "dʒː": 338, "i4": 339, "ɡː": 340, "yi": 341, "ɕʲ": 342, "ɟʰ": 343, "pʰ": 344, "dʑʲ": 345, "yuɜ": 346, "ua1": 347, "ua4": 348, "æiː": 349, "ɐɐ": 350, "ui": 351, "iou1": 352, "ʊː": 353, "a1": 354, "iou4": 355, "cʰ": 356, "iɛ1": 357, "yə2": 358, "ɖʰ": 359, "ẽ": 360, "ʒʲ": 361, "ää": 362, "ər4": 363, "iːː": 364, "ɪː": 365, "iɑ1": 366, "ər1": 367, "œː": 368, "øi": 369, "ɪuː": 370, "cʰcʰ": 371, "əː1": 372, "iː1": 373, "ũ": 374, "kʰː": 375, "o̞o̞": 376, "xʲ": 377, "ou1": 378, "iɛ4": 379, "e̞e̞": 380, "y1": 381, "dzː": 382, "dʲʲ": 383, "dʰː": 384, "ɯᵝɯᵝ": 385, "lː": 386, "uo1": 387, "i.4": 388, "i:": 389, "yɛ5ʲ": 390, "a4": 391}