cstorm125 commited on
Commit
c9452a5
1 Parent(s): a690ae6

add checkpoint 135k

Browse files
config.json ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
3
+ "activation_dropout": 0.0,
4
+ "apply_spec_augment": true,
5
+ "architectures": [
6
+ "Wav2Vec2ForCTC"
7
+ ],
8
+ "attention_dropout": 0.1,
9
+ "bos_token_id": 1,
10
+ "codevector_dim": 768,
11
+ "contrastive_logits_temperature": 0.1,
12
+ "conv_bias": true,
13
+ "conv_dim": [
14
+ 512,
15
+ 512,
16
+ 512,
17
+ 512,
18
+ 512,
19
+ 512,
20
+ 512
21
+ ],
22
+ "conv_kernel": [
23
+ 10,
24
+ 3,
25
+ 3,
26
+ 3,
27
+ 3,
28
+ 2,
29
+ 2
30
+ ],
31
+ "conv_stride": [
32
+ 5,
33
+ 2,
34
+ 2,
35
+ 2,
36
+ 2,
37
+ 2,
38
+ 2
39
+ ],
40
+ "ctc_loss_reduction": "mean",
41
+ "ctc_zero_infinity": false,
42
+ "diversity_loss_weight": 0.1,
43
+ "do_stable_layer_norm": true,
44
+ "eos_token_id": 2,
45
+ "feat_extract_activation": "gelu",
46
+ "feat_extract_dropout": 0.0,
47
+ "feat_extract_norm": "layer",
48
+ "feat_proj_dropout": 0.0,
49
+ "feat_quantizer_dropout": 0.0,
50
+ "final_dropout": 0.0,
51
+ "gradient_checkpointing": true,
52
+ "hidden_act": "gelu",
53
+ "hidden_dropout": 0.1,
54
+ "hidden_size": 1024,
55
+ "initializer_range": 0.02,
56
+ "intermediate_size": 4096,
57
+ "layer_norm_eps": 1e-05,
58
+ "layerdrop": 0.1,
59
+ "mask_channel_length": 10,
60
+ "mask_channel_min_space": 1,
61
+ "mask_channel_other": 0.0,
62
+ "mask_channel_prob": 0.0,
63
+ "mask_channel_selection": "static",
64
+ "mask_feature_length": 10,
65
+ "mask_feature_prob": 0.0,
66
+ "mask_time_length": 10,
67
+ "mask_time_min_space": 1,
68
+ "mask_time_other": 0.0,
69
+ "mask_time_prob": 0.05,
70
+ "mask_time_selection": "static",
71
+ "model_type": "wav2vec2",
72
+ "num_attention_heads": 16,
73
+ "num_codevector_groups": 2,
74
+ "num_codevectors_per_group": 320,
75
+ "num_conv_pos_embedding_groups": 16,
76
+ "num_conv_pos_embeddings": 128,
77
+ "num_feat_extract_layers": 7,
78
+ "num_hidden_layers": 24,
79
+ "num_negatives": 100,
80
+ "pad_token_id": 69,
81
+ "proj_codevector_dim": 768,
82
+ "torch_dtype": "float32",
83
+ "transformers_version": "4.9.1",
84
+ "vocab_size": 70
85
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "return_attention_mask": false,
8
+ "sampling_rate": 16000
9
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:040892c8367ed2663b43590614fcaee20e683cc064af55f65e3baf94db0473d8
3
+ size 15587
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eaad0a550aad796c00c2715fb3dd07c74e5ca1520507a15a505e4faf0123239f
3
+ size 559
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb118fee7b3cd82205b90d8e4ffc01eee7dfb1f3f32f5210cf6b36e69150bc49
3
+ size 623
trainer_state.json ADDED
@@ -0,0 +1,2041 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.0,
3
+ "best_model_checkpoint": "../data/wav2vec2-large-xlsr-53-thai/checkpoint-1000",
4
+ "epoch": 99.77827050997783,
5
+ "global_step": 135000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.74,
12
+ "learning_rate": 9.970000000000001e-05,
13
+ "loss": 7.1725,
14
+ "step": 1000
15
+ },
16
+ {
17
+ "epoch": 0.74,
18
+ "eval_loss": 3.039940595626831,
19
+ "eval_runtime": 185.7874,
20
+ "eval_samples_per_second": 16.293,
21
+ "eval_steps_per_second": 0.511,
22
+ "eval_wer": 1.0,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 1.48,
27
+ "learning_rate": 9.925763216679077e-05,
28
+ "loss": 1.0788,
29
+ "step": 2000
30
+ },
31
+ {
32
+ "epoch": 1.48,
33
+ "eval_loss": 0.6130112409591675,
34
+ "eval_runtime": 176.9194,
35
+ "eval_samples_per_second": 17.109,
36
+ "eval_steps_per_second": 0.537,
37
+ "eval_wer": 0.6820256330103157,
38
+ "step": 2000
39
+ },
40
+ {
41
+ "epoch": 2.22,
42
+ "learning_rate": 9.851303052866717e-05,
43
+ "loss": 0.6339,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 2.22,
48
+ "eval_loss": 0.49624550342559814,
49
+ "eval_runtime": 175.6715,
50
+ "eval_samples_per_second": 17.231,
51
+ "eval_steps_per_second": 0.541,
52
+ "eval_wer": 0.6168802750859643,
53
+ "step": 3000
54
+ },
55
+ {
56
+ "epoch": 2.96,
57
+ "learning_rate": 9.776842889054357e-05,
58
+ "loss": 0.5295,
59
+ "step": 4000
60
+ },
61
+ {
62
+ "epoch": 2.96,
63
+ "eval_loss": 0.4389719069004059,
64
+ "eval_runtime": 176.6072,
65
+ "eval_samples_per_second": 17.14,
66
+ "eval_steps_per_second": 0.538,
67
+ "eval_wer": 0.577117849327915,
68
+ "step": 4000
69
+ },
70
+ {
71
+ "epoch": 3.7,
72
+ "learning_rate": 9.702382725241996e-05,
73
+ "loss": 0.4616,
74
+ "step": 5000
75
+ },
76
+ {
77
+ "epoch": 3.7,
78
+ "eval_loss": 0.4208119809627533,
79
+ "eval_runtime": 196.7481,
80
+ "eval_samples_per_second": 15.385,
81
+ "eval_steps_per_second": 0.483,
82
+ "eval_wer": 0.5618005626758362,
83
+ "step": 5000
84
+ },
85
+ {
86
+ "epoch": 4.43,
87
+ "learning_rate": 9.627922561429635e-05,
88
+ "loss": 0.4206,
89
+ "step": 6000
90
+ },
91
+ {
92
+ "epoch": 4.43,
93
+ "eval_loss": 0.4009915888309479,
94
+ "eval_runtime": 180.4803,
95
+ "eval_samples_per_second": 16.772,
96
+ "eval_steps_per_second": 0.526,
97
+ "eval_wer": 0.5411691153485464,
98
+ "step": 6000
99
+ },
100
+ {
101
+ "epoch": 5.17,
102
+ "learning_rate": 9.553462397617276e-05,
103
+ "loss": 0.3908,
104
+ "step": 7000
105
+ },
106
+ {
107
+ "epoch": 5.17,
108
+ "eval_loss": 0.399889200925827,
109
+ "eval_runtime": 189.7255,
110
+ "eval_samples_per_second": 15.955,
111
+ "eval_steps_per_second": 0.501,
112
+ "eval_wer": 0.5384807752422632,
113
+ "step": 7000
114
+ },
115
+ {
116
+ "epoch": 5.91,
117
+ "learning_rate": 9.479002233804914e-05,
118
+ "loss": 0.3659,
119
+ "step": 8000
120
+ },
121
+ {
122
+ "epoch": 5.91,
123
+ "eval_loss": 0.3719017505645752,
124
+ "eval_runtime": 184.5994,
125
+ "eval_samples_per_second": 16.398,
126
+ "eval_steps_per_second": 0.515,
127
+ "eval_wer": 0.5141606752110034,
128
+ "step": 8000
129
+ },
130
+ {
131
+ "epoch": 6.65,
132
+ "learning_rate": 9.404542069992555e-05,
133
+ "loss": 0.338,
134
+ "step": 9000
135
+ },
136
+ {
137
+ "epoch": 6.65,
138
+ "eval_loss": 0.35533592104911804,
139
+ "eval_runtime": 188.5325,
140
+ "eval_samples_per_second": 16.056,
141
+ "eval_steps_per_second": 0.504,
142
+ "eval_wer": 0.5101594248202563,
143
+ "step": 9000
144
+ },
145
+ {
146
+ "epoch": 7.39,
147
+ "learning_rate": 9.330156366344007e-05,
148
+ "loss": 0.3222,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 7.39,
153
+ "eval_loss": 0.40722423791885376,
154
+ "eval_runtime": 195.2723,
155
+ "eval_samples_per_second": 15.501,
156
+ "eval_steps_per_second": 0.487,
157
+ "eval_wer": 0.49309159112222567,
158
+ "step": 10000
159
+ },
160
+ {
161
+ "epoch": 8.13,
162
+ "learning_rate": 9.255696202531646e-05,
163
+ "loss": 0.31,
164
+ "step": 11000
165
+ },
166
+ {
167
+ "epoch": 8.13,
168
+ "eval_loss": 0.37148234248161316,
169
+ "eval_runtime": 182.6314,
170
+ "eval_samples_per_second": 16.574,
171
+ "eval_steps_per_second": 0.52,
172
+ "eval_wer": 0.48715223507346045,
173
+ "step": 11000
174
+ },
175
+ {
176
+ "epoch": 8.87,
177
+ "learning_rate": 9.181310498883098e-05,
178
+ "loss": 0.2901,
179
+ "step": 12000
180
+ },
181
+ {
182
+ "epoch": 8.87,
183
+ "eval_loss": 0.365583598613739,
184
+ "eval_runtime": 175.3968,
185
+ "eval_samples_per_second": 17.258,
186
+ "eval_steps_per_second": 0.542,
187
+ "eval_wer": 0.4882775867458581,
188
+ "step": 12000
189
+ },
190
+ {
191
+ "epoch": 9.61,
192
+ "learning_rate": 9.106850335070738e-05,
193
+ "loss": 0.276,
194
+ "step": 13000
195
+ },
196
+ {
197
+ "epoch": 9.61,
198
+ "eval_loss": 0.37835174798965454,
199
+ "eval_runtime": 175.9962,
200
+ "eval_samples_per_second": 17.199,
201
+ "eval_steps_per_second": 0.54,
202
+ "eval_wer": 0.4897155361050328,
203
+ "step": 13000
204
+ },
205
+ {
206
+ "epoch": 10.35,
207
+ "learning_rate": 9.032539091586003e-05,
208
+ "loss": 0.2628,
209
+ "step": 14000
210
+ },
211
+ {
212
+ "epoch": 10.35,
213
+ "eval_loss": 0.4127887189388275,
214
+ "eval_runtime": 180.0512,
215
+ "eval_samples_per_second": 16.812,
216
+ "eval_steps_per_second": 0.528,
217
+ "eval_wer": 0.48871522350734603,
218
+ "step": 14000
219
+ },
220
+ {
221
+ "epoch": 11.09,
222
+ "learning_rate": 8.958078927773641e-05,
223
+ "loss": 0.256,
224
+ "step": 15000
225
+ },
226
+ {
227
+ "epoch": 11.09,
228
+ "eval_loss": 0.3795180022716522,
229
+ "eval_runtime": 174.1363,
230
+ "eval_samples_per_second": 17.383,
231
+ "eval_steps_per_second": 0.546,
232
+ "eval_wer": 0.46939668646452015,
233
+ "step": 15000
234
+ },
235
+ {
236
+ "epoch": 11.83,
237
+ "learning_rate": 8.88361876396128e-05,
238
+ "loss": 0.2455,
239
+ "step": 16000
240
+ },
241
+ {
242
+ "epoch": 11.83,
243
+ "eval_loss": 0.3748489320278168,
244
+ "eval_runtime": 174.8629,
245
+ "eval_samples_per_second": 17.311,
246
+ "eval_steps_per_second": 0.543,
247
+ "eval_wer": 0.46970928415129726,
248
+ "step": 16000
249
+ },
250
+ {
251
+ "epoch": 12.56,
252
+ "learning_rate": 8.809233060312732e-05,
253
+ "loss": 0.2377,
254
+ "step": 17000
255
+ },
256
+ {
257
+ "epoch": 12.56,
258
+ "eval_loss": 0.4371410012245178,
259
+ "eval_runtime": 173.1913,
260
+ "eval_samples_per_second": 17.478,
261
+ "eval_steps_per_second": 0.549,
262
+ "eval_wer": 0.4650203188496405,
263
+ "step": 17000
264
+ },
265
+ {
266
+ "epoch": 13.3,
267
+ "learning_rate": 8.734772896500373e-05,
268
+ "loss": 0.2279,
269
+ "step": 18000
270
+ },
271
+ {
272
+ "epoch": 13.3,
273
+ "eval_loss": 0.38019847869873047,
274
+ "eval_runtime": 177.0444,
275
+ "eval_samples_per_second": 17.097,
276
+ "eval_steps_per_second": 0.537,
277
+ "eval_wer": 0.45339168490153176,
278
+ "step": 18000
279
+ },
280
+ {
281
+ "epoch": 14.04,
282
+ "learning_rate": 8.660387192851825e-05,
283
+ "loss": 0.2247,
284
+ "step": 19000
285
+ },
286
+ {
287
+ "epoch": 14.04,
288
+ "eval_loss": 0.3687661588191986,
289
+ "eval_runtime": 197.8618,
290
+ "eval_samples_per_second": 15.299,
291
+ "eval_steps_per_second": 0.48,
292
+ "eval_wer": 0.4567677399187246,
293
+ "step": 19000
294
+ },
295
+ {
296
+ "epoch": 14.78,
297
+ "learning_rate": 8.585927029039465e-05,
298
+ "loss": 0.2139,
299
+ "step": 20000
300
+ },
301
+ {
302
+ "epoch": 14.78,
303
+ "eval_loss": 0.3616667091846466,
304
+ "eval_runtime": 177.8968,
305
+ "eval_samples_per_second": 17.015,
306
+ "eval_steps_per_second": 0.534,
307
+ "eval_wer": 0.446639574867146,
308
+ "step": 20000
309
+ },
310
+ {
311
+ "epoch": 15.52,
312
+ "learning_rate": 8.511541325390916e-05,
313
+ "loss": 0.2072,
314
+ "step": 21000
315
+ },
316
+ {
317
+ "epoch": 15.52,
318
+ "eval_loss": 0.4171736538410187,
319
+ "eval_runtime": 171.8647,
320
+ "eval_samples_per_second": 17.613,
321
+ "eval_steps_per_second": 0.553,
322
+ "eval_wer": 0.45883088465145355,
323
+ "step": 21000
324
+ },
325
+ {
326
+ "epoch": 16.26,
327
+ "learning_rate": 8.437081161578556e-05,
328
+ "loss": 0.1999,
329
+ "step": 22000
330
+ },
331
+ {
332
+ "epoch": 16.26,
333
+ "eval_loss": 0.7755644917488098,
334
+ "eval_runtime": 171.1132,
335
+ "eval_samples_per_second": 17.69,
336
+ "eval_steps_per_second": 0.555,
337
+ "eval_wer": 0.45126602063144733,
338
+ "step": 22000
339
+ },
340
+ {
341
+ "epoch": 17.0,
342
+ "learning_rate": 8.362695457930007e-05,
343
+ "loss": 0.1958,
344
+ "step": 23000
345
+ },
346
+ {
347
+ "epoch": 17.0,
348
+ "eval_loss": 0.41745948791503906,
349
+ "eval_runtime": 172.9131,
350
+ "eval_samples_per_second": 17.506,
351
+ "eval_steps_per_second": 0.549,
352
+ "eval_wer": 0.44382619568615195,
353
+ "step": 23000
354
+ },
355
+ {
356
+ "epoch": 17.74,
357
+ "learning_rate": 8.288235294117647e-05,
358
+ "loss": 0.1866,
359
+ "step": 24000
360
+ },
361
+ {
362
+ "epoch": 17.74,
363
+ "eval_loss": 0.4865190386772156,
364
+ "eval_runtime": 173.9742,
365
+ "eval_samples_per_second": 17.399,
366
+ "eval_steps_per_second": 0.546,
367
+ "eval_wer": 0.45401688027508597,
368
+ "step": 24000
369
+ },
370
+ {
371
+ "epoch": 18.48,
372
+ "learning_rate": 8.213924050632912e-05,
373
+ "loss": 0.1854,
374
+ "step": 25000
375
+ },
376
+ {
377
+ "epoch": 18.48,
378
+ "eval_loss": 0.5420244336128235,
379
+ "eval_runtime": 175.6968,
380
+ "eval_samples_per_second": 17.229,
381
+ "eval_steps_per_second": 0.541,
382
+ "eval_wer": 0.4475148483901219,
383
+ "step": 25000
384
+ },
385
+ {
386
+ "epoch": 19.22,
387
+ "learning_rate": 8.139463886820552e-05,
388
+ "loss": 0.1777,
389
+ "step": 26000
390
+ },
391
+ {
392
+ "epoch": 19.22,
393
+ "eval_loss": 0.4428083300590515,
394
+ "eval_runtime": 174.8946,
395
+ "eval_samples_per_second": 17.308,
396
+ "eval_steps_per_second": 0.543,
397
+ "eval_wer": 0.4501406689590497,
398
+ "step": 26000
399
+ },
400
+ {
401
+ "epoch": 19.96,
402
+ "learning_rate": 8.065003723008191e-05,
403
+ "loss": 0.1764,
404
+ "step": 27000
405
+ },
406
+ {
407
+ "epoch": 19.96,
408
+ "eval_loss": 0.44021618366241455,
409
+ "eval_runtime": 174.1095,
410
+ "eval_samples_per_second": 17.386,
411
+ "eval_steps_per_second": 0.546,
412
+ "eval_wer": 0.44307596123788684,
413
+ "step": 27000
414
+ },
415
+ {
416
+ "epoch": 20.69,
417
+ "learning_rate": 7.990543559195831e-05,
418
+ "loss": 0.1698,
419
+ "step": 28000
420
+ },
421
+ {
422
+ "epoch": 20.69,
423
+ "eval_loss": 0.48001521825790405,
424
+ "eval_runtime": 173.9598,
425
+ "eval_samples_per_second": 17.401,
426
+ "eval_steps_per_second": 0.546,
427
+ "eval_wer": 0.4456392622694592,
428
+ "step": 28000
429
+ },
430
+ {
431
+ "epoch": 21.43,
432
+ "learning_rate": 7.91608339538347e-05,
433
+ "loss": 0.1625,
434
+ "step": 29000
435
+ },
436
+ {
437
+ "epoch": 21.43,
438
+ "eval_loss": 0.4736146628856659,
439
+ "eval_runtime": 173.7886,
440
+ "eval_samples_per_second": 17.418,
441
+ "eval_steps_per_second": 0.547,
442
+ "eval_wer": 0.44676461394185685,
443
+ "step": 29000
444
+ },
445
+ {
446
+ "epoch": 22.17,
447
+ "learning_rate": 7.841697691734922e-05,
448
+ "loss": 0.1611,
449
+ "step": 30000
450
+ },
451
+ {
452
+ "epoch": 22.17,
453
+ "eval_loss": 0.4669973850250244,
454
+ "eval_runtime": 174.8827,
455
+ "eval_samples_per_second": 17.309,
456
+ "eval_steps_per_second": 0.543,
457
+ "eval_wer": 0.43813691778680836,
458
+ "step": 30000
459
+ },
460
+ {
461
+ "epoch": 22.91,
462
+ "learning_rate": 7.767237527922562e-05,
463
+ "loss": 0.1557,
464
+ "step": 31000
465
+ },
466
+ {
467
+ "epoch": 22.91,
468
+ "eval_loss": 0.49789130687713623,
469
+ "eval_runtime": 176.2993,
470
+ "eval_samples_per_second": 17.17,
471
+ "eval_steps_per_second": 0.539,
472
+ "eval_wer": 0.4390121913097843,
473
+ "step": 31000
474
+ },
475
+ {
476
+ "epoch": 23.65,
477
+ "learning_rate": 7.692851824274014e-05,
478
+ "loss": 0.1531,
479
+ "step": 32000
480
+ },
481
+ {
482
+ "epoch": 23.65,
483
+ "eval_loss": 0.49486255645751953,
484
+ "eval_runtime": 178.461,
485
+ "eval_samples_per_second": 16.962,
486
+ "eval_steps_per_second": 0.532,
487
+ "eval_wer": 0.4311347296030009,
488
+ "step": 32000
489
+ },
490
+ {
491
+ "epoch": 24.39,
492
+ "learning_rate": 7.618391660461653e-05,
493
+ "loss": 0.1485,
494
+ "step": 33000
495
+ },
496
+ {
497
+ "epoch": 24.39,
498
+ "eval_loss": 0.5052071809768677,
499
+ "eval_runtime": 197.1526,
500
+ "eval_samples_per_second": 15.354,
501
+ "eval_steps_per_second": 0.482,
502
+ "eval_wer": 0.43432322600812756,
503
+ "step": 33000
504
+ },
505
+ {
506
+ "epoch": 25.13,
507
+ "learning_rate": 7.543931496649293e-05,
508
+ "loss": 0.149,
509
+ "step": 34000
510
+ },
511
+ {
512
+ "epoch": 25.13,
513
+ "eval_loss": 0.4628446400165558,
514
+ "eval_runtime": 191.152,
515
+ "eval_samples_per_second": 15.836,
516
+ "eval_steps_per_second": 0.497,
517
+ "eval_wer": 0.42638324476398876,
518
+ "step": 34000
519
+ },
520
+ {
521
+ "epoch": 25.87,
522
+ "learning_rate": 7.469545793000745e-05,
523
+ "loss": 0.1439,
524
+ "step": 35000
525
+ },
526
+ {
527
+ "epoch": 25.87,
528
+ "eval_loss": 0.4972988963127136,
529
+ "eval_runtime": 199.2887,
530
+ "eval_samples_per_second": 15.189,
531
+ "eval_steps_per_second": 0.477,
532
+ "eval_wer": 0.4331353547983745,
533
+ "step": 35000
534
+ },
535
+ {
536
+ "epoch": 26.61,
537
+ "learning_rate": 7.395160089352196e-05,
538
+ "loss": 0.14,
539
+ "step": 36000
540
+ },
541
+ {
542
+ "epoch": 26.61,
543
+ "eval_loss": 0.5113205313682556,
544
+ "eval_runtime": 177.8533,
545
+ "eval_samples_per_second": 17.02,
546
+ "eval_steps_per_second": 0.534,
547
+ "eval_wer": 0.4366364488902782,
548
+ "step": 36000
549
+ },
550
+ {
551
+ "epoch": 27.35,
552
+ "learning_rate": 7.320699925539837e-05,
553
+ "loss": 0.1373,
554
+ "step": 37000
555
+ },
556
+ {
557
+ "epoch": 27.35,
558
+ "eval_loss": 0.5227766036987305,
559
+ "eval_runtime": 197.1721,
560
+ "eval_samples_per_second": 15.352,
561
+ "eval_steps_per_second": 0.482,
562
+ "eval_wer": 0.4340731478587058,
563
+ "step": 37000
564
+ },
565
+ {
566
+ "epoch": 28.09,
567
+ "learning_rate": 7.246239761727476e-05,
568
+ "loss": 0.134,
569
+ "step": 38000
570
+ },
571
+ {
572
+ "epoch": 28.09,
573
+ "eval_loss": 0.5289518237113953,
574
+ "eval_runtime": 186.9942,
575
+ "eval_samples_per_second": 16.188,
576
+ "eval_steps_per_second": 0.508,
577
+ "eval_wer": 0.42744607689903097,
578
+ "step": 38000
579
+ },
580
+ {
581
+ "epoch": 28.82,
582
+ "learning_rate": 7.171779597915115e-05,
583
+ "loss": 0.1309,
584
+ "step": 39000
585
+ },
586
+ {
587
+ "epoch": 28.82,
588
+ "eval_loss": 0.5079456567764282,
589
+ "eval_runtime": 177.9839,
590
+ "eval_samples_per_second": 17.007,
591
+ "eval_steps_per_second": 0.534,
592
+ "eval_wer": 0.4363238512035011,
593
+ "step": 39000
594
+ },
595
+ {
596
+ "epoch": 29.56,
597
+ "learning_rate": 7.097319434102755e-05,
598
+ "loss": 0.129,
599
+ "step": 40000
600
+ },
601
+ {
602
+ "epoch": 29.56,
603
+ "eval_loss": 0.5366144776344299,
604
+ "eval_runtime": 174.4769,
605
+ "eval_samples_per_second": 17.349,
606
+ "eval_steps_per_second": 0.544,
607
+ "eval_wer": 0.4248202563301032,
608
+ "step": 40000
609
+ },
610
+ {
611
+ "epoch": 30.3,
612
+ "learning_rate": 7.02300819061802e-05,
613
+ "loss": 0.126,
614
+ "step": 41000
615
+ },
616
+ {
617
+ "epoch": 30.3,
618
+ "eval_loss": 0.5051801204681396,
619
+ "eval_runtime": 174.1717,
620
+ "eval_samples_per_second": 17.379,
621
+ "eval_steps_per_second": 0.545,
622
+ "eval_wer": 0.42275711159737417,
623
+ "step": 41000
624
+ },
625
+ {
626
+ "epoch": 31.04,
627
+ "learning_rate": 6.94854802680566e-05,
628
+ "loss": 0.1255,
629
+ "step": 42000
630
+ },
631
+ {
632
+ "epoch": 31.04,
633
+ "eval_loss": 0.5653140544891357,
634
+ "eval_runtime": 175.3338,
635
+ "eval_samples_per_second": 17.264,
636
+ "eval_steps_per_second": 0.542,
637
+ "eval_wer": 0.43063457330415755,
638
+ "step": 42000
639
+ },
640
+ {
641
+ "epoch": 31.78,
642
+ "learning_rate": 6.874087862993299e-05,
643
+ "loss": 0.122,
644
+ "step": 43000
645
+ },
646
+ {
647
+ "epoch": 31.78,
648
+ "eval_loss": 0.5453576445579529,
649
+ "eval_runtime": 176.4408,
650
+ "eval_samples_per_second": 17.156,
651
+ "eval_steps_per_second": 0.538,
652
+ "eval_wer": 0.42800875273522976,
653
+ "step": 43000
654
+ },
655
+ {
656
+ "epoch": 32.52,
657
+ "learning_rate": 6.799627699180938e-05,
658
+ "loss": 0.1191,
659
+ "step": 44000
660
+ },
661
+ {
662
+ "epoch": 32.52,
663
+ "eval_loss": 0.6267871260643005,
664
+ "eval_runtime": 172.551,
665
+ "eval_samples_per_second": 17.543,
666
+ "eval_steps_per_second": 0.551,
667
+ "eval_wer": 0.42400750234448265,
668
+ "step": 44000
669
+ },
670
+ {
671
+ "epoch": 33.26,
672
+ "learning_rate": 6.725167535368579e-05,
673
+ "loss": 0.1151,
674
+ "step": 45000
675
+ },
676
+ {
677
+ "epoch": 33.26,
678
+ "eval_loss": 0.5381397008895874,
679
+ "eval_runtime": 174.0505,
680
+ "eval_samples_per_second": 17.392,
681
+ "eval_steps_per_second": 0.546,
682
+ "eval_wer": 0.4221944357611754,
683
+ "step": 45000
684
+ },
685
+ {
686
+ "epoch": 34.0,
687
+ "learning_rate": 6.650707371556217e-05,
688
+ "loss": 0.115,
689
+ "step": 46000
690
+ },
691
+ {
692
+ "epoch": 34.0,
693
+ "eval_loss": 0.5648242235183716,
694
+ "eval_runtime": 174.2088,
695
+ "eval_samples_per_second": 17.376,
696
+ "eval_steps_per_second": 0.545,
697
+ "eval_wer": 0.4198812128790247,
698
+ "step": 46000
699
+ },
700
+ {
701
+ "epoch": 34.74,
702
+ "learning_rate": 6.576247207743858e-05,
703
+ "loss": 0.1124,
704
+ "step": 47000
705
+ },
706
+ {
707
+ "epoch": 34.74,
708
+ "eval_loss": 0.613673985004425,
709
+ "eval_runtime": 193.9522,
710
+ "eval_samples_per_second": 15.607,
711
+ "eval_steps_per_second": 0.49,
712
+ "eval_wer": 0.4295092216317599,
713
+ "step": 47000
714
+ },
715
+ {
716
+ "epoch": 35.48,
717
+ "learning_rate": 6.50186150409531e-05,
718
+ "loss": 0.1101,
719
+ "step": 48000
720
+ },
721
+ {
722
+ "epoch": 35.48,
723
+ "eval_loss": 0.5470528602600098,
724
+ "eval_runtime": 193.2438,
725
+ "eval_samples_per_second": 15.664,
726
+ "eval_steps_per_second": 0.492,
727
+ "eval_wer": 0.42206939668646454,
728
+ "step": 48000
729
+ },
730
+ {
731
+ "epoch": 36.22,
732
+ "learning_rate": 6.427475800446761e-05,
733
+ "loss": 0.1061,
734
+ "step": 49000
735
+ },
736
+ {
737
+ "epoch": 36.22,
738
+ "eval_loss": 0.5942440032958984,
739
+ "eval_runtime": 200.9573,
740
+ "eval_samples_per_second": 15.063,
741
+ "eval_steps_per_second": 0.473,
742
+ "eval_wer": 0.4258205689277899,
743
+ "step": 49000
744
+ },
745
+ {
746
+ "epoch": 36.95,
747
+ "learning_rate": 6.353015636634401e-05,
748
+ "loss": 0.1065,
749
+ "step": 50000
750
+ },
751
+ {
752
+ "epoch": 36.95,
753
+ "eval_loss": 0.5583751201629639,
754
+ "eval_runtime": 178.0909,
755
+ "eval_samples_per_second": 16.997,
756
+ "eval_steps_per_second": 0.533,
757
+ "eval_wer": 0.4255704907783682,
758
+ "step": 50000
759
+ },
760
+ {
761
+ "epoch": 37.69,
762
+ "learning_rate": 6.27855547282204e-05,
763
+ "loss": 0.1043,
764
+ "step": 51000
765
+ },
766
+ {
767
+ "epoch": 37.69,
768
+ "eval_loss": 0.7426488399505615,
769
+ "eval_runtime": 188.9691,
770
+ "eval_samples_per_second": 16.018,
771
+ "eval_steps_per_second": 0.503,
772
+ "eval_wer": 0.4210065645514223,
773
+ "step": 51000
774
+ },
775
+ {
776
+ "epoch": 38.43,
777
+ "learning_rate": 6.204169769173492e-05,
778
+ "loss": 0.103,
779
+ "step": 52000
780
+ },
781
+ {
782
+ "epoch": 38.43,
783
+ "eval_loss": 0.7028630375862122,
784
+ "eval_runtime": 182.3453,
785
+ "eval_samples_per_second": 16.6,
786
+ "eval_steps_per_second": 0.521,
787
+ "eval_wer": 0.42338230697092843,
788
+ "step": 52000
789
+ },
790
+ {
791
+ "epoch": 39.17,
792
+ "learning_rate": 6.129709605361132e-05,
793
+ "loss": 0.1016,
794
+ "step": 53000
795
+ },
796
+ {
797
+ "epoch": 39.17,
798
+ "eval_loss": 0.644480288028717,
799
+ "eval_runtime": 172.8589,
800
+ "eval_samples_per_second": 17.511,
801
+ "eval_steps_per_second": 0.55,
802
+ "eval_wer": 0.42319474835886217,
803
+ "step": 53000
804
+ },
805
+ {
806
+ "epoch": 39.91,
807
+ "learning_rate": 6.055323901712584e-05,
808
+ "loss": 0.0977,
809
+ "step": 54000
810
+ },
811
+ {
812
+ "epoch": 39.91,
813
+ "eval_loss": 0.6561093926429749,
814
+ "eval_runtime": 174.7926,
815
+ "eval_samples_per_second": 17.318,
816
+ "eval_steps_per_second": 0.544,
817
+ "eval_wer": 0.41394185683025947,
818
+ "step": 54000
819
+ },
820
+ {
821
+ "epoch": 40.65,
822
+ "learning_rate": 5.980863737900224e-05,
823
+ "loss": 0.097,
824
+ "step": 55000
825
+ },
826
+ {
827
+ "epoch": 40.65,
828
+ "eval_loss": 0.6229739785194397,
829
+ "eval_runtime": 176.8753,
830
+ "eval_samples_per_second": 17.114,
831
+ "eval_steps_per_second": 0.537,
832
+ "eval_wer": 0.41450453266645826,
833
+ "step": 55000
834
+ },
835
+ {
836
+ "epoch": 41.39,
837
+ "learning_rate": 5.9064780342516755e-05,
838
+ "loss": 0.0963,
839
+ "step": 56000
840
+ },
841
+ {
842
+ "epoch": 41.39,
843
+ "eval_loss": 0.5873845219612122,
844
+ "eval_runtime": 175.9014,
845
+ "eval_samples_per_second": 17.209,
846
+ "eval_steps_per_second": 0.54,
847
+ "eval_wer": 0.41713035323538605,
848
+ "step": 56000
849
+ },
850
+ {
851
+ "epoch": 42.13,
852
+ "learning_rate": 5.832017870439316e-05,
853
+ "loss": 0.0943,
854
+ "step": 57000
855
+ },
856
+ {
857
+ "epoch": 42.13,
858
+ "eval_loss": 0.5930323600769043,
859
+ "eval_runtime": 174.9181,
860
+ "eval_samples_per_second": 17.305,
861
+ "eval_steps_per_second": 0.543,
862
+ "eval_wer": 0.418005626758362,
863
+ "step": 57000
864
+ },
865
+ {
866
+ "epoch": 42.87,
867
+ "learning_rate": 5.757557706626955e-05,
868
+ "loss": 0.093,
869
+ "step": 58000
870
+ },
871
+ {
872
+ "epoch": 42.87,
873
+ "eval_loss": 0.6292551755905151,
874
+ "eval_runtime": 175.0843,
875
+ "eval_samples_per_second": 17.289,
876
+ "eval_steps_per_second": 0.543,
877
+ "eval_wer": 0.4175054704595186,
878
+ "step": 58000
879
+ },
880
+ {
881
+ "epoch": 43.61,
882
+ "learning_rate": 5.683097542814595e-05,
883
+ "loss": 0.0896,
884
+ "step": 59000
885
+ },
886
+ {
887
+ "epoch": 43.61,
888
+ "eval_loss": 0.6171667575836182,
889
+ "eval_runtime": 175.3688,
890
+ "eval_samples_per_second": 17.261,
891
+ "eval_steps_per_second": 0.542,
892
+ "eval_wer": 0.41319162238199436,
893
+ "step": 59000
894
+ },
895
+ {
896
+ "epoch": 44.35,
897
+ "learning_rate": 5.608637379002234e-05,
898
+ "loss": 0.0911,
899
+ "step": 60000
900
+ },
901
+ {
902
+ "epoch": 44.35,
903
+ "eval_loss": 0.6143432259559631,
904
+ "eval_runtime": 178.3103,
905
+ "eval_samples_per_second": 16.976,
906
+ "eval_steps_per_second": 0.533,
907
+ "eval_wer": 0.4172553923100969,
908
+ "step": 60000
909
+ },
910
+ {
911
+ "epoch": 45.08,
912
+ "learning_rate": 5.534326135517498e-05,
913
+ "loss": 0.0885,
914
+ "step": 61000
915
+ },
916
+ {
917
+ "epoch": 45.08,
918
+ "eval_loss": 0.6145235300064087,
919
+ "eval_runtime": 191.9563,
920
+ "eval_samples_per_second": 15.769,
921
+ "eval_steps_per_second": 0.495,
922
+ "eval_wer": 0.4133166614567052,
923
+ "step": 61000
924
+ },
925
+ {
926
+ "epoch": 45.82,
927
+ "learning_rate": 5.459865971705138e-05,
928
+ "loss": 0.0872,
929
+ "step": 62000
930
+ },
931
+ {
932
+ "epoch": 45.82,
933
+ "eval_loss": 0.8499487638473511,
934
+ "eval_runtime": 177.455,
935
+ "eval_samples_per_second": 17.058,
936
+ "eval_steps_per_second": 0.535,
937
+ "eval_wer": 0.41187871209753046,
938
+ "step": 62000
939
+ },
940
+ {
941
+ "epoch": 46.56,
942
+ "learning_rate": 5.385405807892777e-05,
943
+ "loss": 0.0883,
944
+ "step": 63000
945
+ },
946
+ {
947
+ "epoch": 46.56,
948
+ "eval_loss": 0.7073235511779785,
949
+ "eval_runtime": 199.205,
950
+ "eval_samples_per_second": 15.195,
951
+ "eval_steps_per_second": 0.477,
952
+ "eval_wer": 0.4190684588934042,
953
+ "step": 63000
954
+ },
955
+ {
956
+ "epoch": 47.3,
957
+ "learning_rate": 5.3109456440804175e-05,
958
+ "loss": 0.0844,
959
+ "step": 64000
960
+ },
961
+ {
962
+ "epoch": 47.3,
963
+ "eval_loss": 0.6707965135574341,
964
+ "eval_runtime": 203.0283,
965
+ "eval_samples_per_second": 14.909,
966
+ "eval_steps_per_second": 0.468,
967
+ "eval_wer": 0.4145670522038137,
968
+ "step": 64000
969
+ },
970
+ {
971
+ "epoch": 48.04,
972
+ "learning_rate": 5.2365599404318685e-05,
973
+ "loss": 0.0851,
974
+ "step": 65000
975
+ },
976
+ {
977
+ "epoch": 48.04,
978
+ "eval_loss": 0.6518837213516235,
979
+ "eval_runtime": 184.8621,
980
+ "eval_samples_per_second": 16.374,
981
+ "eval_steps_per_second": 0.514,
982
+ "eval_wer": 0.4101281650515786,
983
+ "step": 65000
984
+ },
985
+ {
986
+ "epoch": 48.78,
987
+ "learning_rate": 5.162099776619509e-05,
988
+ "loss": 0.0832,
989
+ "step": 66000
990
+ },
991
+ {
992
+ "epoch": 48.78,
993
+ "eval_loss": 0.6594052910804749,
994
+ "eval_runtime": 196.4902,
995
+ "eval_samples_per_second": 15.405,
996
+ "eval_steps_per_second": 0.483,
997
+ "eval_wer": 0.41387933729290405,
998
+ "step": 66000
999
+ },
1000
+ {
1001
+ "epoch": 49.52,
1002
+ "learning_rate": 5.0877140729709605e-05,
1003
+ "loss": 0.0822,
1004
+ "step": 67000
1005
+ },
1006
+ {
1007
+ "epoch": 49.52,
1008
+ "eval_loss": 0.653843104839325,
1009
+ "eval_runtime": 186.7472,
1010
+ "eval_samples_per_second": 16.209,
1011
+ "eval_steps_per_second": 0.509,
1012
+ "eval_wer": 0.415942482025633,
1013
+ "step": 67000
1014
+ },
1015
+ {
1016
+ "epoch": 50.26,
1017
+ "learning_rate": 5.013253909158601e-05,
1018
+ "loss": 0.0833,
1019
+ "step": 68000
1020
+ },
1021
+ {
1022
+ "epoch": 50.26,
1023
+ "eval_loss": 0.6541770100593567,
1024
+ "eval_runtime": 175.2691,
1025
+ "eval_samples_per_second": 17.271,
1026
+ "eval_steps_per_second": 0.542,
1027
+ "eval_wer": 0.41844326351984995,
1028
+ "step": 68000
1029
+ },
1030
+ {
1031
+ "epoch": 51.0,
1032
+ "learning_rate": 4.9387937453462405e-05,
1033
+ "loss": 0.079,
1034
+ "step": 69000
1035
+ },
1036
+ {
1037
+ "epoch": 51.0,
1038
+ "eval_loss": 0.6602481007575989,
1039
+ "eval_runtime": 176.6295,
1040
+ "eval_samples_per_second": 17.138,
1041
+ "eval_steps_per_second": 0.538,
1042
+ "eval_wer": 0.41212879024695215,
1043
+ "step": 69000
1044
+ },
1045
+ {
1046
+ "epoch": 51.74,
1047
+ "learning_rate": 4.8644080416976914e-05,
1048
+ "loss": 0.0768,
1049
+ "step": 70000
1050
+ },
1051
+ {
1052
+ "epoch": 51.74,
1053
+ "eval_loss": 0.6583812832832336,
1054
+ "eval_runtime": 175.3489,
1055
+ "eval_samples_per_second": 17.263,
1056
+ "eval_steps_per_second": 0.542,
1057
+ "eval_wer": 0.41556736480150047,
1058
+ "step": 70000
1059
+ },
1060
+ {
1061
+ "epoch": 52.48,
1062
+ "learning_rate": 4.790022338049144e-05,
1063
+ "loss": 0.0775,
1064
+ "step": 71000
1065
+ },
1066
+ {
1067
+ "epoch": 52.48,
1068
+ "eval_loss": 0.6354698538780212,
1069
+ "eval_runtime": 173.883,
1070
+ "eval_samples_per_second": 17.408,
1071
+ "eval_steps_per_second": 0.546,
1072
+ "eval_wer": 0.4156924038762113,
1073
+ "step": 71000
1074
+ },
1075
+ {
1076
+ "epoch": 53.22,
1077
+ "learning_rate": 4.7155621742367834e-05,
1078
+ "loss": 0.0762,
1079
+ "step": 72000
1080
+ },
1081
+ {
1082
+ "epoch": 53.22,
1083
+ "eval_loss": 0.6745539307594299,
1084
+ "eval_runtime": 174.1736,
1085
+ "eval_samples_per_second": 17.379,
1086
+ "eval_steps_per_second": 0.545,
1087
+ "eval_wer": 0.40675211003438577,
1088
+ "step": 72000
1089
+ },
1090
+ {
1091
+ "epoch": 53.95,
1092
+ "learning_rate": 4.641176470588236e-05,
1093
+ "loss": 0.0761,
1094
+ "step": 73000
1095
+ },
1096
+ {
1097
+ "epoch": 53.95,
1098
+ "eval_loss": 0.6509293913841248,
1099
+ "eval_runtime": 176.7298,
1100
+ "eval_samples_per_second": 17.128,
1101
+ "eval_steps_per_second": 0.538,
1102
+ "eval_wer": 0.4095029696780244,
1103
+ "step": 73000
1104
+ },
1105
+ {
1106
+ "epoch": 54.69,
1107
+ "learning_rate": 4.566716306775875e-05,
1108
+ "loss": 0.0742,
1109
+ "step": 74000
1110
+ },
1111
+ {
1112
+ "epoch": 54.69,
1113
+ "eval_loss": 0.6646940112113953,
1114
+ "eval_runtime": 177.5457,
1115
+ "eval_samples_per_second": 17.049,
1116
+ "eval_steps_per_second": 0.535,
1117
+ "eval_wer": 0.41312910284463894,
1118
+ "step": 74000
1119
+ },
1120
+ {
1121
+ "epoch": 55.43,
1122
+ "learning_rate": 4.492330603127327e-05,
1123
+ "loss": 0.0738,
1124
+ "step": 75000
1125
+ },
1126
+ {
1127
+ "epoch": 55.43,
1128
+ "eval_loss": 0.6746073365211487,
1129
+ "eval_runtime": 182.277,
1130
+ "eval_samples_per_second": 16.607,
1131
+ "eval_steps_per_second": 0.521,
1132
+ "eval_wer": 0.4097530478274461,
1133
+ "step": 75000
1134
+ },
1135
+ {
1136
+ "epoch": 56.17,
1137
+ "learning_rate": 4.417870439314967e-05,
1138
+ "loss": 0.072,
1139
+ "step": 76000
1140
+ },
1141
+ {
1142
+ "epoch": 56.17,
1143
+ "eval_loss": 0.6681593060493469,
1144
+ "eval_runtime": 189.5798,
1145
+ "eval_samples_per_second": 15.967,
1146
+ "eval_steps_per_second": 0.501,
1147
+ "eval_wer": 0.41081587996248825,
1148
+ "step": 76000
1149
+ },
1150
+ {
1151
+ "epoch": 56.91,
1152
+ "learning_rate": 4.3434102755026064e-05,
1153
+ "loss": 0.0715,
1154
+ "step": 77000
1155
+ },
1156
+ {
1157
+ "epoch": 56.91,
1158
+ "eval_loss": 0.6641326546669006,
1159
+ "eval_runtime": 199.1459,
1160
+ "eval_samples_per_second": 15.2,
1161
+ "eval_steps_per_second": 0.477,
1162
+ "eval_wer": 0.4114410753360425,
1163
+ "step": 77000
1164
+ },
1165
+ {
1166
+ "epoch": 57.65,
1167
+ "learning_rate": 4.2690245718540587e-05,
1168
+ "loss": 0.0717,
1169
+ "step": 78000
1170
+ },
1171
+ {
1172
+ "epoch": 57.65,
1173
+ "eval_loss": 0.6959729790687561,
1174
+ "eval_runtime": 198.8176,
1175
+ "eval_samples_per_second": 15.225,
1176
+ "eval_steps_per_second": 0.478,
1177
+ "eval_wer": 0.41106595811191,
1178
+ "step": 78000
1179
+ },
1180
+ {
1181
+ "epoch": 58.39,
1182
+ "learning_rate": 4.194564408041698e-05,
1183
+ "loss": 0.0711,
1184
+ "step": 79000
1185
+ },
1186
+ {
1187
+ "epoch": 58.39,
1188
+ "eval_loss": 0.663927435874939,
1189
+ "eval_runtime": 201.2001,
1190
+ "eval_samples_per_second": 15.045,
1191
+ "eval_steps_per_second": 0.472,
1192
+ "eval_wer": 0.4081900593935605,
1193
+ "step": 79000
1194
+ },
1195
+ {
1196
+ "epoch": 59.13,
1197
+ "learning_rate": 4.1201042442293374e-05,
1198
+ "loss": 0.0706,
1199
+ "step": 80000
1200
+ },
1201
+ {
1202
+ "epoch": 59.13,
1203
+ "eval_loss": 0.6455733180046082,
1204
+ "eval_runtime": 180.6704,
1205
+ "eval_samples_per_second": 16.754,
1206
+ "eval_steps_per_second": 0.526,
1207
+ "eval_wer": 0.41156611441075336,
1208
+ "step": 80000
1209
+ },
1210
+ {
1211
+ "epoch": 59.87,
1212
+ "learning_rate": 4.045644080416977e-05,
1213
+ "loss": 0.0685,
1214
+ "step": 81000
1215
+ },
1216
+ {
1217
+ "epoch": 59.87,
1218
+ "eval_loss": 0.6929445862770081,
1219
+ "eval_runtime": 176.1838,
1220
+ "eval_samples_per_second": 17.181,
1221
+ "eval_steps_per_second": 0.539,
1222
+ "eval_wer": 0.4169427946233198,
1223
+ "step": 81000
1224
+ },
1225
+ {
1226
+ "epoch": 60.61,
1227
+ "learning_rate": 3.971258376768429e-05,
1228
+ "loss": 0.0666,
1229
+ "step": 82000
1230
+ },
1231
+ {
1232
+ "epoch": 60.61,
1233
+ "eval_loss": 0.6526830792427063,
1234
+ "eval_runtime": 175.1162,
1235
+ "eval_samples_per_second": 17.286,
1236
+ "eval_steps_per_second": 0.542,
1237
+ "eval_wer": 0.40987808690215694,
1238
+ "step": 82000
1239
+ },
1240
+ {
1241
+ "epoch": 61.35,
1242
+ "learning_rate": 3.896798212956069e-05,
1243
+ "loss": 0.0677,
1244
+ "step": 83000
1245
+ },
1246
+ {
1247
+ "epoch": 61.35,
1248
+ "eval_loss": 0.708766758441925,
1249
+ "eval_runtime": 174.527,
1250
+ "eval_samples_per_second": 17.344,
1251
+ "eval_steps_per_second": 0.544,
1252
+ "eval_wer": 0.4113785557986871,
1253
+ "step": 83000
1254
+ },
1255
+ {
1256
+ "epoch": 62.08,
1257
+ "learning_rate": 3.822338049143708e-05,
1258
+ "loss": 0.0667,
1259
+ "step": 84000
1260
+ },
1261
+ {
1262
+ "epoch": 62.08,
1263
+ "eval_loss": 0.6928330063819885,
1264
+ "eval_runtime": 178.7497,
1265
+ "eval_samples_per_second": 16.934,
1266
+ "eval_steps_per_second": 0.531,
1267
+ "eval_wer": 0.4085026570803376,
1268
+ "step": 84000
1269
+ },
1270
+ {
1271
+ "epoch": 62.82,
1272
+ "learning_rate": 3.74795234549516e-05,
1273
+ "loss": 0.065,
1274
+ "step": 85000
1275
+ },
1276
+ {
1277
+ "epoch": 62.82,
1278
+ "eval_loss": 0.7296735048294067,
1279
+ "eval_runtime": 174.5663,
1280
+ "eval_samples_per_second": 17.34,
1281
+ "eval_steps_per_second": 0.544,
1282
+ "eval_wer": 0.40962800875273525,
1283
+ "step": 85000
1284
+ },
1285
+ {
1286
+ "epoch": 63.56,
1287
+ "learning_rate": 3.6734921816828e-05,
1288
+ "loss": 0.0655,
1289
+ "step": 86000
1290
+ },
1291
+ {
1292
+ "epoch": 63.56,
1293
+ "eval_loss": 0.7482656836509705,
1294
+ "eval_runtime": 173.9987,
1295
+ "eval_samples_per_second": 17.397,
1296
+ "eval_steps_per_second": 0.546,
1297
+ "eval_wer": 0.4106908408877774,
1298
+ "step": 86000
1299
+ },
1300
+ {
1301
+ "epoch": 64.3,
1302
+ "learning_rate": 3.59903201787044e-05,
1303
+ "loss": 0.0636,
1304
+ "step": 87000
1305
+ },
1306
+ {
1307
+ "epoch": 64.3,
1308
+ "eval_loss": 0.7502027750015259,
1309
+ "eval_runtime": 172.4262,
1310
+ "eval_samples_per_second": 17.555,
1311
+ "eval_steps_per_second": 0.551,
1312
+ "eval_wer": 0.41875586120662706,
1313
+ "step": 87000
1314
+ },
1315
+ {
1316
+ "epoch": 65.04,
1317
+ "learning_rate": 3.5245718540580794e-05,
1318
+ "loss": 0.0645,
1319
+ "step": 88000
1320
+ },
1321
+ {
1322
+ "epoch": 65.04,
1323
+ "eval_loss": 0.7395268678665161,
1324
+ "eval_runtime": 172.5532,
1325
+ "eval_samples_per_second": 17.542,
1326
+ "eval_steps_per_second": 0.551,
1327
+ "eval_wer": 0.40793998124413877,
1328
+ "step": 88000
1329
+ },
1330
+ {
1331
+ "epoch": 65.78,
1332
+ "learning_rate": 3.450186150409531e-05,
1333
+ "loss": 0.0628,
1334
+ "step": 89000
1335
+ },
1336
+ {
1337
+ "epoch": 65.78,
1338
+ "eval_loss": 0.6981734037399292,
1339
+ "eval_runtime": 186.2785,
1340
+ "eval_samples_per_second": 16.25,
1341
+ "eval_steps_per_second": 0.51,
1342
+ "eval_wer": 0.4075023444826508,
1343
+ "step": 89000
1344
+ },
1345
+ {
1346
+ "epoch": 66.52,
1347
+ "learning_rate": 3.375725986597171e-05,
1348
+ "loss": 0.0618,
1349
+ "step": 90000
1350
+ },
1351
+ {
1352
+ "epoch": 66.52,
1353
+ "eval_loss": 0.7291818261146545,
1354
+ "eval_runtime": 195.0277,
1355
+ "eval_samples_per_second": 15.521,
1356
+ "eval_steps_per_second": 0.487,
1357
+ "eval_wer": 0.4113160362613317,
1358
+ "step": 90000
1359
+ },
1360
+ {
1361
+ "epoch": 67.26,
1362
+ "learning_rate": 3.301340282948623e-05,
1363
+ "loss": 0.0612,
1364
+ "step": 91000
1365
+ },
1366
+ {
1367
+ "epoch": 67.26,
1368
+ "eval_loss": 0.7428854703903198,
1369
+ "eval_runtime": 201.9566,
1370
+ "eval_samples_per_second": 14.988,
1371
+ "eval_steps_per_second": 0.47,
1372
+ "eval_wer": 0.40994060643951236,
1373
+ "step": 91000
1374
+ },
1375
+ {
1376
+ "epoch": 68.0,
1377
+ "learning_rate": 3.2269545793000746e-05,
1378
+ "loss": 0.0613,
1379
+ "step": 92000
1380
+ },
1381
+ {
1382
+ "epoch": 68.0,
1383
+ "eval_loss": 0.7314553260803223,
1384
+ "eval_runtime": 181.5248,
1385
+ "eval_samples_per_second": 16.675,
1386
+ "eval_steps_per_second": 0.523,
1387
+ "eval_wer": 0.41150359487339794,
1388
+ "step": 92000
1389
+ },
1390
+ {
1391
+ "epoch": 68.74,
1392
+ "learning_rate": 3.152494415487714e-05,
1393
+ "loss": 0.0607,
1394
+ "step": 93000
1395
+ },
1396
+ {
1397
+ "epoch": 68.74,
1398
+ "eval_loss": 0.7307026386260986,
1399
+ "eval_runtime": 263.2133,
1400
+ "eval_samples_per_second": 11.5,
1401
+ "eval_steps_per_second": 0.361,
1402
+ "eval_wer": 0.40725226633322914,
1403
+ "step": 93000
1404
+ },
1405
+ {
1406
+ "epoch": 69.48,
1407
+ "learning_rate": 3.078034251675354e-05,
1408
+ "loss": 0.0597,
1409
+ "step": 94000
1410
+ },
1411
+ {
1412
+ "epoch": 69.48,
1413
+ "eval_loss": 0.6700393557548523,
1414
+ "eval_runtime": 261.1836,
1415
+ "eval_samples_per_second": 11.59,
1416
+ "eval_steps_per_second": 0.364,
1417
+ "eval_wer": 0.40206314473272897,
1418
+ "step": 94000
1419
+ },
1420
+ {
1421
+ "epoch": 70.21,
1422
+ "learning_rate": 3.0035740878629936e-05,
1423
+ "loss": 0.0586,
1424
+ "step": 95000
1425
+ },
1426
+ {
1427
+ "epoch": 70.21,
1428
+ "eval_loss": 0.7129278779029846,
1429
+ "eval_runtime": 174.8869,
1430
+ "eval_samples_per_second": 17.308,
1431
+ "eval_steps_per_second": 0.543,
1432
+ "eval_wer": 0.40737730540794,
1433
+ "step": 95000
1434
+ },
1435
+ {
1436
+ "epoch": 70.95,
1437
+ "learning_rate": 2.9291883842144452e-05,
1438
+ "loss": 0.0585,
1439
+ "step": 96000
1440
+ },
1441
+ {
1442
+ "epoch": 70.95,
1443
+ "eval_loss": 0.7538037896156311,
1444
+ "eval_runtime": 175.7698,
1445
+ "eval_samples_per_second": 17.221,
1446
+ "eval_steps_per_second": 0.54,
1447
+ "eval_wer": 0.4142544545170366,
1448
+ "step": 96000
1449
+ },
1450
+ {
1451
+ "epoch": 71.69,
1452
+ "learning_rate": 2.8547282204020846e-05,
1453
+ "loss": 0.0573,
1454
+ "step": 97000
1455
+ },
1456
+ {
1457
+ "epoch": 71.69,
1458
+ "eval_loss": 0.703994631767273,
1459
+ "eval_runtime": 176.9961,
1460
+ "eval_samples_per_second": 17.102,
1461
+ "eval_steps_per_second": 0.537,
1462
+ "eval_wer": 0.40487652391372303,
1463
+ "step": 97000
1464
+ },
1465
+ {
1466
+ "epoch": 72.43,
1467
+ "learning_rate": 2.780342516753537e-05,
1468
+ "loss": 0.0575,
1469
+ "step": 98000
1470
+ },
1471
+ {
1472
+ "epoch": 72.43,
1473
+ "eval_loss": 0.7418561577796936,
1474
+ "eval_runtime": 177.6888,
1475
+ "eval_samples_per_second": 17.035,
1476
+ "eval_steps_per_second": 0.535,
1477
+ "eval_wer": 0.4070647077211629,
1478
+ "step": 98000
1479
+ },
1480
+ {
1481
+ "epoch": 73.17,
1482
+ "learning_rate": 2.7058823529411766e-05,
1483
+ "loss": 0.0567,
1484
+ "step": 99000
1485
+ },
1486
+ {
1487
+ "epoch": 73.17,
1488
+ "eval_loss": 0.7433472871780396,
1489
+ "eval_runtime": 175.8142,
1490
+ "eval_samples_per_second": 17.217,
1491
+ "eval_steps_per_second": 0.54,
1492
+ "eval_wer": 0.4093154110659581,
1493
+ "step": 99000
1494
+ },
1495
+ {
1496
+ "epoch": 73.91,
1497
+ "learning_rate": 2.631422189128816e-05,
1498
+ "loss": 0.054,
1499
+ "step": 100000
1500
+ },
1501
+ {
1502
+ "epoch": 73.91,
1503
+ "eval_loss": 0.6921048760414124,
1504
+ "eval_runtime": 180.3464,
1505
+ "eval_samples_per_second": 16.784,
1506
+ "eval_steps_per_second": 0.527,
1507
+ "eval_wer": 0.40256330103157234,
1508
+ "step": 100000
1509
+ },
1510
+ {
1511
+ "epoch": 74.65,
1512
+ "learning_rate": 2.5570364854802682e-05,
1513
+ "loss": 0.0571,
1514
+ "step": 101000
1515
+ },
1516
+ {
1517
+ "epoch": 74.65,
1518
+ "eval_loss": 0.7526727318763733,
1519
+ "eval_runtime": 176.5656,
1520
+ "eval_samples_per_second": 17.144,
1521
+ "eval_steps_per_second": 0.538,
1522
+ "eval_wer": 0.4104407627383557,
1523
+ "step": 101000
1524
+ },
1525
+ {
1526
+ "epoch": 75.39,
1527
+ "learning_rate": 2.48265078183172e-05,
1528
+ "loss": 0.0532,
1529
+ "step": 102000
1530
+ },
1531
+ {
1532
+ "epoch": 75.39,
1533
+ "eval_loss": 0.717917263507843,
1534
+ "eval_runtime": 180.7508,
1535
+ "eval_samples_per_second": 16.747,
1536
+ "eval_steps_per_second": 0.526,
1537
+ "eval_wer": 0.40693966864645204,
1538
+ "step": 102000
1539
+ },
1540
+ {
1541
+ "epoch": 76.13,
1542
+ "learning_rate": 2.40819061801936e-05,
1543
+ "loss": 0.0549,
1544
+ "step": 103000
1545
+ },
1546
+ {
1547
+ "epoch": 76.13,
1548
+ "eval_loss": 0.7699146866798401,
1549
+ "eval_runtime": 199.8758,
1550
+ "eval_samples_per_second": 15.144,
1551
+ "eval_steps_per_second": 0.475,
1552
+ "eval_wer": 0.4080650203188496,
1553
+ "step": 103000
1554
+ },
1555
+ {
1556
+ "epoch": 76.87,
1557
+ "learning_rate": 2.3338049143708118e-05,
1558
+ "loss": 0.0533,
1559
+ "step": 104000
1560
+ },
1561
+ {
1562
+ "epoch": 76.87,
1563
+ "eval_loss": 0.7196021676063538,
1564
+ "eval_runtime": 186.8201,
1565
+ "eval_samples_per_second": 16.203,
1566
+ "eval_steps_per_second": 0.509,
1567
+ "eval_wer": 0.4058143169740544,
1568
+ "step": 104000
1569
+ },
1570
+ {
1571
+ "epoch": 77.61,
1572
+ "learning_rate": 2.2593447505584515e-05,
1573
+ "loss": 0.0538,
1574
+ "step": 105000
1575
+ },
1576
+ {
1577
+ "epoch": 77.61,
1578
+ "eval_loss": 0.7532729506492615,
1579
+ "eval_runtime": 186.7527,
1580
+ "eval_samples_per_second": 16.209,
1581
+ "eval_steps_per_second": 0.509,
1582
+ "eval_wer": 0.4068146295717412,
1583
+ "step": 105000
1584
+ },
1585
+ {
1586
+ "epoch": 78.34,
1587
+ "learning_rate": 2.1848845867460908e-05,
1588
+ "loss": 0.0533,
1589
+ "step": 106000
1590
+ },
1591
+ {
1592
+ "epoch": 78.34,
1593
+ "eval_loss": 0.7514676451683044,
1594
+ "eval_runtime": 203.9001,
1595
+ "eval_samples_per_second": 14.846,
1596
+ "eval_steps_per_second": 0.466,
1597
+ "eval_wer": 0.40762738355736167,
1598
+ "step": 106000
1599
+ },
1600
+ {
1601
+ "epoch": 79.08,
1602
+ "learning_rate": 2.1104244229337305e-05,
1603
+ "loss": 0.0517,
1604
+ "step": 107000
1605
+ },
1606
+ {
1607
+ "epoch": 79.08,
1608
+ "eval_loss": 0.766864001750946,
1609
+ "eval_runtime": 183.9434,
1610
+ "eval_samples_per_second": 16.456,
1611
+ "eval_steps_per_second": 0.516,
1612
+ "eval_wer": 0.4061894341981869,
1613
+ "step": 107000
1614
+ },
1615
+ {
1616
+ "epoch": 79.82,
1617
+ "learning_rate": 2.0359642591213702e-05,
1618
+ "loss": 0.0521,
1619
+ "step": 108000
1620
+ },
1621
+ {
1622
+ "epoch": 79.82,
1623
+ "eval_loss": 0.7399023771286011,
1624
+ "eval_runtime": 175.691,
1625
+ "eval_samples_per_second": 17.229,
1626
+ "eval_steps_per_second": 0.541,
1627
+ "eval_wer": 0.4015004688965302,
1628
+ "step": 108000
1629
+ },
1630
+ {
1631
+ "epoch": 80.56,
1632
+ "learning_rate": 1.961578555472822e-05,
1633
+ "loss": 0.0525,
1634
+ "step": 109000
1635
+ },
1636
+ {
1637
+ "epoch": 80.56,
1638
+ "eval_loss": 0.7517969608306885,
1639
+ "eval_runtime": 185.511,
1640
+ "eval_samples_per_second": 16.317,
1641
+ "eval_steps_per_second": 0.512,
1642
+ "eval_wer": 0.4044388871522351,
1643
+ "step": 109000
1644
+ },
1645
+ {
1646
+ "epoch": 81.3,
1647
+ "learning_rate": 1.887118391660462e-05,
1648
+ "loss": 0.0505,
1649
+ "step": 110000
1650
+ },
1651
+ {
1652
+ "epoch": 81.3,
1653
+ "eval_loss": 0.7839346528053284,
1654
+ "eval_runtime": 181.6126,
1655
+ "eval_samples_per_second": 16.667,
1656
+ "eval_steps_per_second": 0.523,
1657
+ "eval_wer": 0.4077524226320725,
1658
+ "step": 110000
1659
+ },
1660
+ {
1661
+ "epoch": 82.04,
1662
+ "learning_rate": 1.8126582278481012e-05,
1663
+ "loss": 0.0508,
1664
+ "step": 111000
1665
+ },
1666
+ {
1667
+ "epoch": 82.04,
1668
+ "eval_loss": 0.7692478895187378,
1669
+ "eval_runtime": 182.2532,
1670
+ "eval_samples_per_second": 16.609,
1671
+ "eval_steps_per_second": 0.521,
1672
+ "eval_wer": 0.4070647077211629,
1673
+ "step": 111000
1674
+ },
1675
+ {
1676
+ "epoch": 82.78,
1677
+ "learning_rate": 1.7383469843633657e-05,
1678
+ "loss": 0.0496,
1679
+ "step": 112000
1680
+ },
1681
+ {
1682
+ "epoch": 82.78,
1683
+ "eval_loss": 0.7821455597877502,
1684
+ "eval_runtime": 227.3787,
1685
+ "eval_samples_per_second": 13.313,
1686
+ "eval_steps_per_second": 0.418,
1687
+ "eval_wer": 0.40987808690215694,
1688
+ "step": 112000
1689
+ },
1690
+ {
1691
+ "epoch": 83.52,
1692
+ "learning_rate": 1.663886820551005e-05,
1693
+ "loss": 0.0493,
1694
+ "step": 113000
1695
+ },
1696
+ {
1697
+ "epoch": 83.52,
1698
+ "eval_loss": 0.7528874278068542,
1699
+ "eval_runtime": 217.8709,
1700
+ "eval_samples_per_second": 13.894,
1701
+ "eval_steps_per_second": 0.436,
1702
+ "eval_wer": 0.4055642388246327,
1703
+ "step": 113000
1704
+ },
1705
+ {
1706
+ "epoch": 84.26,
1707
+ "learning_rate": 1.5894266567386448e-05,
1708
+ "loss": 0.0498,
1709
+ "step": 114000
1710
+ },
1711
+ {
1712
+ "epoch": 84.26,
1713
+ "eval_loss": 0.7717328071594238,
1714
+ "eval_runtime": 216.4941,
1715
+ "eval_samples_per_second": 13.982,
1716
+ "eval_steps_per_second": 0.439,
1717
+ "eval_wer": 0.40493904345107845,
1718
+ "step": 114000
1719
+ },
1720
+ {
1721
+ "epoch": 85.0,
1722
+ "learning_rate": 1.5149664929262845e-05,
1723
+ "loss": 0.0499,
1724
+ "step": 115000
1725
+ },
1726
+ {
1727
+ "epoch": 85.0,
1728
+ "eval_loss": 0.757793128490448,
1729
+ "eval_runtime": 213.4299,
1730
+ "eval_samples_per_second": 14.183,
1731
+ "eval_steps_per_second": 0.445,
1732
+ "eval_wer": 0.40406376992810256,
1733
+ "step": 115000
1734
+ },
1735
+ {
1736
+ "epoch": 85.74,
1737
+ "learning_rate": 1.4405807892777364e-05,
1738
+ "loss": 0.0485,
1739
+ "step": 116000
1740
+ },
1741
+ {
1742
+ "epoch": 85.74,
1743
+ "eval_loss": 0.7553907632827759,
1744
+ "eval_runtime": 181.6761,
1745
+ "eval_samples_per_second": 16.662,
1746
+ "eval_steps_per_second": 0.523,
1747
+ "eval_wer": 0.4044388871522351,
1748
+ "step": 116000
1749
+ },
1750
+ {
1751
+ "epoch": 86.47,
1752
+ "learning_rate": 1.3661206254653761e-05,
1753
+ "loss": 0.0479,
1754
+ "step": 117000
1755
+ },
1756
+ {
1757
+ "epoch": 86.47,
1758
+ "eval_loss": 0.8072551488876343,
1759
+ "eval_runtime": 188.7645,
1760
+ "eval_samples_per_second": 16.036,
1761
+ "eval_steps_per_second": 0.503,
1762
+ "eval_wer": 0.40625195373554235,
1763
+ "step": 117000
1764
+ },
1765
+ {
1766
+ "epoch": 87.21,
1767
+ "learning_rate": 1.2917349218168282e-05,
1768
+ "loss": 0.0462,
1769
+ "step": 118000
1770
+ },
1771
+ {
1772
+ "epoch": 87.21,
1773
+ "eval_loss": 0.7592765092849731,
1774
+ "eval_runtime": 187.3254,
1775
+ "eval_samples_per_second": 16.159,
1776
+ "eval_steps_per_second": 0.507,
1777
+ "eval_wer": 0.4025007814942169,
1778
+ "step": 118000
1779
+ },
1780
+ {
1781
+ "epoch": 87.95,
1782
+ "learning_rate": 1.2172747580044677e-05,
1783
+ "loss": 0.0475,
1784
+ "step": 119000
1785
+ },
1786
+ {
1787
+ "epoch": 87.95,
1788
+ "eval_loss": 0.7812408208847046,
1789
+ "eval_runtime": 227.3028,
1790
+ "eval_samples_per_second": 13.317,
1791
+ "eval_steps_per_second": 0.418,
1792
+ "eval_wer": 0.40493904345107845,
1793
+ "step": 119000
1794
+ },
1795
+ {
1796
+ "epoch": 88.69,
1797
+ "learning_rate": 1.1428890543559197e-05,
1798
+ "loss": 0.0455,
1799
+ "step": 120000
1800
+ },
1801
+ {
1802
+ "epoch": 88.69,
1803
+ "eval_loss": 0.779983401298523,
1804
+ "eval_runtime": 223.0101,
1805
+ "eval_samples_per_second": 13.573,
1806
+ "eval_steps_per_second": 0.426,
1807
+ "eval_wer": 0.40487652391372303,
1808
+ "step": 120000
1809
+ },
1810
+ {
1811
+ "epoch": 89.43,
1812
+ "learning_rate": 1.0684288905435592e-05,
1813
+ "loss": 0.0451,
1814
+ "step": 121000
1815
+ },
1816
+ {
1817
+ "epoch": 89.43,
1818
+ "eval_loss": 0.8092254400253296,
1819
+ "eval_runtime": 251.7762,
1820
+ "eval_samples_per_second": 12.023,
1821
+ "eval_steps_per_second": 0.377,
1822
+ "eval_wer": 0.40737730540794,
1823
+ "step": 121000
1824
+ },
1825
+ {
1826
+ "epoch": 90.17,
1827
+ "learning_rate": 9.939687267311989e-06,
1828
+ "loss": 0.0455,
1829
+ "step": 122000
1830
+ },
1831
+ {
1832
+ "epoch": 90.17,
1833
+ "eval_loss": 0.7754979133605957,
1834
+ "eval_runtime": 271.2522,
1835
+ "eval_samples_per_second": 11.159,
1836
+ "eval_steps_per_second": 0.35,
1837
+ "eval_wer": 0.4074398249452954,
1838
+ "step": 122000
1839
+ },
1840
+ {
1841
+ "epoch": 90.91,
1842
+ "learning_rate": 9.195085629188386e-06,
1843
+ "loss": 0.0476,
1844
+ "step": 123000
1845
+ },
1846
+ {
1847
+ "epoch": 90.91,
1848
+ "eval_loss": 0.7846540212631226,
1849
+ "eval_runtime": 244.3416,
1850
+ "eval_samples_per_second": 12.388,
1851
+ "eval_steps_per_second": 0.389,
1852
+ "eval_wer": 0.40593935604876524,
1853
+ "step": 123000
1854
+ },
1855
+ {
1856
+ "epoch": 91.65,
1857
+ "learning_rate": 8.451228592702905e-06,
1858
+ "loss": 0.0461,
1859
+ "step": 124000
1860
+ },
1861
+ {
1862
+ "epoch": 91.65,
1863
+ "eval_loss": 0.7784237861633301,
1864
+ "eval_runtime": 267.8746,
1865
+ "eval_samples_per_second": 11.3,
1866
+ "eval_steps_per_second": 0.355,
1867
+ "eval_wer": 0.4034385745545483,
1868
+ "step": 124000
1869
+ },
1870
+ {
1871
+ "epoch": 92.39,
1872
+ "learning_rate": 7.7066269545793e-06,
1873
+ "loss": 0.0454,
1874
+ "step": 125000
1875
+ },
1876
+ {
1877
+ "epoch": 92.39,
1878
+ "eval_loss": 0.7823372483253479,
1879
+ "eval_runtime": 207.7458,
1880
+ "eval_samples_per_second": 14.571,
1881
+ "eval_steps_per_second": 0.457,
1882
+ "eval_wer": 0.403251015942482,
1883
+ "step": 125000
1884
+ },
1885
+ {
1886
+ "epoch": 93.13,
1887
+ "learning_rate": 6.9620253164556965e-06,
1888
+ "loss": 0.0453,
1889
+ "step": 126000
1890
+ },
1891
+ {
1892
+ "epoch": 93.13,
1893
+ "eval_loss": 0.7685350179672241,
1894
+ "eval_runtime": 180.1025,
1895
+ "eval_samples_per_second": 16.807,
1896
+ "eval_steps_per_second": 0.527,
1897
+ "eval_wer": 0.4015004688965302,
1898
+ "step": 126000
1899
+ },
1900
+ {
1901
+ "epoch": 93.87,
1902
+ "learning_rate": 6.2174236783320925e-06,
1903
+ "loss": 0.0451,
1904
+ "step": 127000
1905
+ },
1906
+ {
1907
+ "epoch": 93.87,
1908
+ "eval_loss": 0.7680614590644836,
1909
+ "eval_runtime": 177.9917,
1910
+ "eval_samples_per_second": 17.006,
1911
+ "eval_steps_per_second": 0.534,
1912
+ "eval_wer": 0.4,
1913
+ "step": 127000
1914
+ },
1915
+ {
1916
+ "epoch": 94.6,
1917
+ "learning_rate": 5.473566641846612e-06,
1918
+ "loss": 0.0428,
1919
+ "step": 128000
1920
+ },
1921
+ {
1922
+ "epoch": 94.6,
1923
+ "eval_loss": 0.7936143279075623,
1924
+ "eval_runtime": 180.9951,
1925
+ "eval_samples_per_second": 16.724,
1926
+ "eval_steps_per_second": 0.525,
1927
+ "eval_wer": 0.4034385745545483,
1928
+ "step": 128000
1929
+ },
1930
+ {
1931
+ "epoch": 95.34,
1932
+ "learning_rate": 4.728965003723009e-06,
1933
+ "loss": 0.0445,
1934
+ "step": 129000
1935
+ },
1936
+ {
1937
+ "epoch": 95.34,
1938
+ "eval_loss": 0.7666231989860535,
1939
+ "eval_runtime": 203.0139,
1940
+ "eval_samples_per_second": 14.91,
1941
+ "eval_steps_per_second": 0.468,
1942
+ "eval_wer": 0.39968740231322286,
1943
+ "step": 129000
1944
+ },
1945
+ {
1946
+ "epoch": 96.08,
1947
+ "learning_rate": 3.984363365599404e-06,
1948
+ "loss": 0.0441,
1949
+ "step": 130000
1950
+ },
1951
+ {
1952
+ "epoch": 96.08,
1953
+ "eval_loss": 0.7681093811988831,
1954
+ "eval_runtime": 206.6264,
1955
+ "eval_samples_per_second": 14.65,
1956
+ "eval_steps_per_second": 0.46,
1957
+ "eval_wer": 0.4008752735229759,
1958
+ "step": 130000
1959
+ },
1960
+ {
1961
+ "epoch": 96.82,
1962
+ "learning_rate": 3.2412509307520474e-06,
1963
+ "loss": 0.043,
1964
+ "step": 131000
1965
+ },
1966
+ {
1967
+ "epoch": 96.82,
1968
+ "eval_loss": 0.7704082131385803,
1969
+ "eval_runtime": 196.2406,
1970
+ "eval_samples_per_second": 15.425,
1971
+ "eval_steps_per_second": 0.484,
1972
+ "eval_wer": 0.4008752735229759,
1973
+ "step": 131000
1974
+ },
1975
+ {
1976
+ "epoch": 97.56,
1977
+ "learning_rate": 2.496649292628444e-06,
1978
+ "loss": 0.043,
1979
+ "step": 132000
1980
+ },
1981
+ {
1982
+ "epoch": 97.56,
1983
+ "eval_loss": 0.7688604593276978,
1984
+ "eval_runtime": 208.2948,
1985
+ "eval_samples_per_second": 14.532,
1986
+ "eval_steps_per_second": 0.456,
1987
+ "eval_wer": 0.3981244138793373,
1988
+ "step": 132000
1989
+ },
1990
+ {
1991
+ "epoch": 98.3,
1992
+ "learning_rate": 1.7520476545048399e-06,
1993
+ "loss": 0.0429,
1994
+ "step": 133000
1995
+ },
1996
+ {
1997
+ "epoch": 98.3,
1998
+ "eval_loss": 0.7736847996711731,
1999
+ "eval_runtime": 207.1539,
2000
+ "eval_samples_per_second": 14.612,
2001
+ "eval_steps_per_second": 0.459,
2002
+ "eval_wer": 0.3992497655517349,
2003
+ "step": 133000
2004
+ },
2005
+ {
2006
+ "epoch": 99.04,
2007
+ "learning_rate": 1.0081906180193596e-06,
2008
+ "loss": 0.0434,
2009
+ "step": 134000
2010
+ },
2011
+ {
2012
+ "epoch": 99.04,
2013
+ "eval_loss": 0.7795138955116272,
2014
+ "eval_runtime": 196.4909,
2015
+ "eval_samples_per_second": 15.405,
2016
+ "eval_steps_per_second": 0.483,
2017
+ "eval_wer": 0.4012503907471085,
2018
+ "step": 134000
2019
+ },
2020
+ {
2021
+ "epoch": 99.78,
2022
+ "learning_rate": 2.635889798957558e-07,
2023
+ "loss": 0.0433,
2024
+ "step": 135000
2025
+ },
2026
+ {
2027
+ "epoch": 99.78,
2028
+ "eval_loss": 0.7773757576942444,
2029
+ "eval_runtime": 198.9794,
2030
+ "eval_samples_per_second": 15.213,
2031
+ "eval_steps_per_second": 0.477,
2032
+ "eval_wer": 0.4008127539856205,
2033
+ "step": 135000
2034
+ }
2035
+ ],
2036
+ "max_steps": 135300,
2037
+ "num_train_epochs": 100,
2038
+ "total_flos": 1.184566523613751e+21,
2039
+ "trial_name": null,
2040
+ "trial_params": null
2041
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b84fdc2b5205eb905d41c1c2102380221b9f615acfe849482ef528e3e37c723
3
+ size 2671