manish-iisc
commited on
Commit
•
fbab6ef
1
Parent(s):
2328ea7
Upload 17 files
Browse files- added_tokens.json +108 -0
- config.json +41 -0
- generation_config.json +222 -0
- latest +1 -0
- merges.txt +0 -0
- normalizer.json +1742 -0
- preprocessor_config.json +0 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- special_tokens_map.json +133 -0
- tokenizer_config.json +35 -0
- trainer_state.json +4363 -0
- training_args.bin +3 -0
- vocab.json +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,108 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|af|>": 50327,
|
3 |
+
"<|am|>": 50334,
|
4 |
+
"<|ar|>": 50272,
|
5 |
+
"<|as|>": 50350,
|
6 |
+
"<|az|>": 50304,
|
7 |
+
"<|ba|>": 50355,
|
8 |
+
"<|be|>": 50330,
|
9 |
+
"<|bg|>": 50292,
|
10 |
+
"<|bn|>": 50302,
|
11 |
+
"<|bo|>": 50347,
|
12 |
+
"<|br|>": 50309,
|
13 |
+
"<|bs|>": 50315,
|
14 |
+
"<|ca|>": 50270,
|
15 |
+
"<|cs|>": 50283,
|
16 |
+
"<|cy|>": 50297,
|
17 |
+
"<|da|>": 50285,
|
18 |
+
"<|de|>": 50261,
|
19 |
+
"<|el|>": 50281,
|
20 |
+
"<|en|>": 50259,
|
21 |
+
"<|es|>": 50262,
|
22 |
+
"<|et|>": 50307,
|
23 |
+
"<|eu|>": 50310,
|
24 |
+
"<|fa|>": 50300,
|
25 |
+
"<|fi|>": 50277,
|
26 |
+
"<|fo|>": 50338,
|
27 |
+
"<|fr|>": 50265,
|
28 |
+
"<|gl|>": 50319,
|
29 |
+
"<|gu|>": 50333,
|
30 |
+
"<|haw|>": 50352,
|
31 |
+
"<|ha|>": 50354,
|
32 |
+
"<|he|>": 50279,
|
33 |
+
"<|hi|>": 50276,
|
34 |
+
"<|hr|>": 50291,
|
35 |
+
"<|ht|>": 50339,
|
36 |
+
"<|hu|>": 50286,
|
37 |
+
"<|hy|>": 50312,
|
38 |
+
"<|id|>": 50275,
|
39 |
+
"<|is|>": 50311,
|
40 |
+
"<|it|>": 50274,
|
41 |
+
"<|ja|>": 50266,
|
42 |
+
"<|jw|>": 50356,
|
43 |
+
"<|ka|>": 50329,
|
44 |
+
"<|kk|>": 50316,
|
45 |
+
"<|km|>": 50323,
|
46 |
+
"<|kn|>": 50306,
|
47 |
+
"<|ko|>": 50264,
|
48 |
+
"<|la|>": 50294,
|
49 |
+
"<|lb|>": 50345,
|
50 |
+
"<|ln|>": 50353,
|
51 |
+
"<|lo|>": 50336,
|
52 |
+
"<|lt|>": 50293,
|
53 |
+
"<|lv|>": 50301,
|
54 |
+
"<|mg|>": 50349,
|
55 |
+
"<|mi|>": 50295,
|
56 |
+
"<|mk|>": 50308,
|
57 |
+
"<|ml|>": 50296,
|
58 |
+
"<|mn|>": 50314,
|
59 |
+
"<|mr|>": 50320,
|
60 |
+
"<|ms|>": 50282,
|
61 |
+
"<|mt|>": 50343,
|
62 |
+
"<|my|>": 50346,
|
63 |
+
"<|ne|>": 50313,
|
64 |
+
"<|nl|>": 50271,
|
65 |
+
"<|nn|>": 50342,
|
66 |
+
"<|nocaptions|>": 50362,
|
67 |
+
"<|notimestamps|>": 50363,
|
68 |
+
"<|no|>": 50288,
|
69 |
+
"<|oc|>": 50328,
|
70 |
+
"<|pa|>": 50321,
|
71 |
+
"<|pl|>": 50269,
|
72 |
+
"<|ps|>": 50340,
|
73 |
+
"<|pt|>": 50267,
|
74 |
+
"<|ro|>": 50284,
|
75 |
+
"<|ru|>": 50263,
|
76 |
+
"<|sa|>": 50344,
|
77 |
+
"<|sd|>": 50332,
|
78 |
+
"<|si|>": 50322,
|
79 |
+
"<|sk|>": 50298,
|
80 |
+
"<|sl|>": 50305,
|
81 |
+
"<|sn|>": 50324,
|
82 |
+
"<|so|>": 50326,
|
83 |
+
"<|sq|>": 50317,
|
84 |
+
"<|sr|>": 50303,
|
85 |
+
"<|startoflm|>": 50360,
|
86 |
+
"<|startofprev|>": 50361,
|
87 |
+
"<|startoftranscript|>": 50258,
|
88 |
+
"<|su|>": 50357,
|
89 |
+
"<|sv|>": 50273,
|
90 |
+
"<|sw|>": 50318,
|
91 |
+
"<|ta|>": 50287,
|
92 |
+
"<|te|>": 50299,
|
93 |
+
"<|tg|>": 50331,
|
94 |
+
"<|th|>": 50289,
|
95 |
+
"<|tk|>": 50341,
|
96 |
+
"<|tl|>": 50348,
|
97 |
+
"<|transcribe|>": 50359,
|
98 |
+
"<|translate|>": 50358,
|
99 |
+
"<|tr|>": 50268,
|
100 |
+
"<|tt|>": 50351,
|
101 |
+
"<|uk|>": 50280,
|
102 |
+
"<|ur|>": 50290,
|
103 |
+
"<|uz|>": 50337,
|
104 |
+
"<|vi|>": 50278,
|
105 |
+
"<|yi|>": 50335,
|
106 |
+
"<|yo|>": 50325,
|
107 |
+
"<|zh|>": 50260
|
108 |
+
}
|
config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/whisper-medium",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"architectures": [
|
6 |
+
"WhisperForConditionalGeneration"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"begin_suppress_tokens": [
|
10 |
+
220,
|
11 |
+
50257
|
12 |
+
],
|
13 |
+
"bos_token_id": 50257,
|
14 |
+
"d_model": 1024,
|
15 |
+
"decoder_attention_heads": 16,
|
16 |
+
"decoder_ffn_dim": 4096,
|
17 |
+
"decoder_layerdrop": 0.0,
|
18 |
+
"decoder_layers": 24,
|
19 |
+
"decoder_start_token_id": 50258,
|
20 |
+
"dropout": 0.0,
|
21 |
+
"encoder_attention_heads": 16,
|
22 |
+
"encoder_ffn_dim": 4096,
|
23 |
+
"encoder_layerdrop": 0.0,
|
24 |
+
"encoder_layers": 24,
|
25 |
+
"eos_token_id": 50257,
|
26 |
+
"forced_decoder_ids": null,
|
27 |
+
"init_std": 0.02,
|
28 |
+
"is_encoder_decoder": true,
|
29 |
+
"max_length": 448,
|
30 |
+
"max_source_positions": 1500,
|
31 |
+
"max_target_positions": 448,
|
32 |
+
"model_type": "whisper",
|
33 |
+
"num_hidden_layers": 24,
|
34 |
+
"num_mel_bins": 80,
|
35 |
+
"pad_token_id": 50257,
|
36 |
+
"scale_embedding": false,
|
37 |
+
"torch_dtype": "float16",
|
38 |
+
"transformers_version": "4.27.0.dev0",
|
39 |
+
"use_cache": false,
|
40 |
+
"vocab_size": 51865
|
41 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,222 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"begin_suppress_tokens": [
|
3 |
+
220,
|
4 |
+
50257
|
5 |
+
],
|
6 |
+
"bos_token_id": 50257,
|
7 |
+
"decoder_start_token_id": 50258,
|
8 |
+
"eos_token_id": 50257,
|
9 |
+
"forced_decoder_ids": [
|
10 |
+
[
|
11 |
+
1,
|
12 |
+
null
|
13 |
+
],
|
14 |
+
[
|
15 |
+
2,
|
16 |
+
50359
|
17 |
+
],
|
18 |
+
[
|
19 |
+
3,
|
20 |
+
50363
|
21 |
+
]
|
22 |
+
],
|
23 |
+
"is_multilingual": true,
|
24 |
+
"lang_to_id": {
|
25 |
+
"<|af|>": 50327,
|
26 |
+
"<|am|>": 50334,
|
27 |
+
"<|ar|>": 50272,
|
28 |
+
"<|as|>": 50350,
|
29 |
+
"<|az|>": 50304,
|
30 |
+
"<|ba|>": 50355,
|
31 |
+
"<|be|>": 50330,
|
32 |
+
"<|bg|>": 50292,
|
33 |
+
"<|bn|>": 50302,
|
34 |
+
"<|bo|>": 50347,
|
35 |
+
"<|br|>": 50309,
|
36 |
+
"<|bs|>": 50315,
|
37 |
+
"<|ca|>": 50270,
|
38 |
+
"<|cs|>": 50283,
|
39 |
+
"<|cy|>": 50297,
|
40 |
+
"<|da|>": 50285,
|
41 |
+
"<|de|>": 50261,
|
42 |
+
"<|el|>": 50281,
|
43 |
+
"<|en|>": 50259,
|
44 |
+
"<|es|>": 50262,
|
45 |
+
"<|et|>": 50307,
|
46 |
+
"<|eu|>": 50310,
|
47 |
+
"<|fa|>": 50300,
|
48 |
+
"<|fi|>": 50277,
|
49 |
+
"<|fo|>": 50338,
|
50 |
+
"<|fr|>": 50265,
|
51 |
+
"<|gl|>": 50319,
|
52 |
+
"<|gu|>": 50333,
|
53 |
+
"<|haw|>": 50352,
|
54 |
+
"<|ha|>": 50354,
|
55 |
+
"<|he|>": 50279,
|
56 |
+
"<|hi|>": 50276,
|
57 |
+
"<|hr|>": 50291,
|
58 |
+
"<|ht|>": 50339,
|
59 |
+
"<|hu|>": 50286,
|
60 |
+
"<|hy|>": 50312,
|
61 |
+
"<|id|>": 50275,
|
62 |
+
"<|is|>": 50311,
|
63 |
+
"<|it|>": 50274,
|
64 |
+
"<|ja|>": 50266,
|
65 |
+
"<|jw|>": 50356,
|
66 |
+
"<|ka|>": 50329,
|
67 |
+
"<|kk|>": 50316,
|
68 |
+
"<|km|>": 50323,
|
69 |
+
"<|kn|>": 50306,
|
70 |
+
"<|ko|>": 50264,
|
71 |
+
"<|la|>": 50294,
|
72 |
+
"<|lb|>": 50345,
|
73 |
+
"<|ln|>": 50353,
|
74 |
+
"<|lo|>": 50336,
|
75 |
+
"<|lt|>": 50293,
|
76 |
+
"<|lv|>": 50301,
|
77 |
+
"<|mg|>": 50349,
|
78 |
+
"<|mi|>": 50295,
|
79 |
+
"<|mk|>": 50308,
|
80 |
+
"<|ml|>": 50296,
|
81 |
+
"<|mn|>": 50314,
|
82 |
+
"<|mr|>": 50320,
|
83 |
+
"<|ms|>": 50282,
|
84 |
+
"<|mt|>": 50343,
|
85 |
+
"<|my|>": 50346,
|
86 |
+
"<|ne|>": 50313,
|
87 |
+
"<|nl|>": 50271,
|
88 |
+
"<|nn|>": 50342,
|
89 |
+
"<|no|>": 50288,
|
90 |
+
"<|oc|>": 50328,
|
91 |
+
"<|pa|>": 50321,
|
92 |
+
"<|pl|>": 50269,
|
93 |
+
"<|ps|>": 50340,
|
94 |
+
"<|pt|>": 50267,
|
95 |
+
"<|ro|>": 50284,
|
96 |
+
"<|ru|>": 50263,
|
97 |
+
"<|sa|>": 50344,
|
98 |
+
"<|sd|>": 50332,
|
99 |
+
"<|si|>": 50322,
|
100 |
+
"<|sk|>": 50298,
|
101 |
+
"<|sl|>": 50305,
|
102 |
+
"<|sn|>": 50324,
|
103 |
+
"<|so|>": 50326,
|
104 |
+
"<|sq|>": 50317,
|
105 |
+
"<|sr|>": 50303,
|
106 |
+
"<|su|>": 50357,
|
107 |
+
"<|sv|>": 50273,
|
108 |
+
"<|sw|>": 50318,
|
109 |
+
"<|ta|>": 50287,
|
110 |
+
"<|te|>": 50299,
|
111 |
+
"<|tg|>": 50331,
|
112 |
+
"<|th|>": 50289,
|
113 |
+
"<|tk|>": 50341,
|
114 |
+
"<|tl|>": 50348,
|
115 |
+
"<|tr|>": 50268,
|
116 |
+
"<|tt|>": 50351,
|
117 |
+
"<|uk|>": 50280,
|
118 |
+
"<|ur|>": 50290,
|
119 |
+
"<|uz|>": 50337,
|
120 |
+
"<|vi|>": 50278,
|
121 |
+
"<|yi|>": 50335,
|
122 |
+
"<|yo|>": 50325,
|
123 |
+
"<|zh|>": 50260
|
124 |
+
},
|
125 |
+
"max_initial_timestamp_index": 1,
|
126 |
+
"max_length": 448,
|
127 |
+
"no_timestamps_token_id": 50363,
|
128 |
+
"pad_token_id": 50256,
|
129 |
+
"suppress_tokens": [
|
130 |
+
1,
|
131 |
+
2,
|
132 |
+
7,
|
133 |
+
8,
|
134 |
+
9,
|
135 |
+
10,
|
136 |
+
14,
|
137 |
+
25,
|
138 |
+
26,
|
139 |
+
27,
|
140 |
+
28,
|
141 |
+
29,
|
142 |
+
31,
|
143 |
+
58,
|
144 |
+
59,
|
145 |
+
60,
|
146 |
+
61,
|
147 |
+
62,
|
148 |
+
63,
|
149 |
+
90,
|
150 |
+
91,
|
151 |
+
92,
|
152 |
+
93,
|
153 |
+
359,
|
154 |
+
503,
|
155 |
+
522,
|
156 |
+
542,
|
157 |
+
873,
|
158 |
+
893,
|
159 |
+
902,
|
160 |
+
918,
|
161 |
+
922,
|
162 |
+
931,
|
163 |
+
1350,
|
164 |
+
1853,
|
165 |
+
1982,
|
166 |
+
2460,
|
167 |
+
2627,
|
168 |
+
3246,
|
169 |
+
3253,
|
170 |
+
3268,
|
171 |
+
3536,
|
172 |
+
3846,
|
173 |
+
3961,
|
174 |
+
4183,
|
175 |
+
4667,
|
176 |
+
6585,
|
177 |
+
6647,
|
178 |
+
7273,
|
179 |
+
9061,
|
180 |
+
9383,
|
181 |
+
10428,
|
182 |
+
10929,
|
183 |
+
11938,
|
184 |
+
12033,
|
185 |
+
12331,
|
186 |
+
12562,
|
187 |
+
13793,
|
188 |
+
14157,
|
189 |
+
14635,
|
190 |
+
15265,
|
191 |
+
15618,
|
192 |
+
16553,
|
193 |
+
16604,
|
194 |
+
18362,
|
195 |
+
18956,
|
196 |
+
20075,
|
197 |
+
21675,
|
198 |
+
22520,
|
199 |
+
26130,
|
200 |
+
26161,
|
201 |
+
26435,
|
202 |
+
28279,
|
203 |
+
29464,
|
204 |
+
31650,
|
205 |
+
32302,
|
206 |
+
32470,
|
207 |
+
36865,
|
208 |
+
42863,
|
209 |
+
47425,
|
210 |
+
49870,
|
211 |
+
50254,
|
212 |
+
50258,
|
213 |
+
50360,
|
214 |
+
50361,
|
215 |
+
50362
|
216 |
+
],
|
217 |
+
"task_to_id": {
|
218 |
+
"transcribe": 50359,
|
219 |
+
"translate": 50358
|
220 |
+
},
|
221 |
+
"transformers_version": "4.27.0.dev0"
|
222 |
+
}
|
latest
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
global_step6300
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
normalizer.json
ADDED
@@ -0,0 +1,1742 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"accessorise": "accessorize",
|
3 |
+
"accessorised": "accessorized",
|
4 |
+
"accessorises": "accessorizes",
|
5 |
+
"accessorising": "accessorizing",
|
6 |
+
"acclimatisation": "acclimatization",
|
7 |
+
"acclimatise": "acclimatize",
|
8 |
+
"acclimatised": "acclimatized",
|
9 |
+
"acclimatises": "acclimatizes",
|
10 |
+
"acclimatising": "acclimatizing",
|
11 |
+
"accoutrements": "accouterments",
|
12 |
+
"aeon": "eon",
|
13 |
+
"aeons": "eons",
|
14 |
+
"aerogramme": "aerogram",
|
15 |
+
"aerogrammes": "aerograms",
|
16 |
+
"aeroplane": "airplane",
|
17 |
+
"aeroplanes": "airplanes",
|
18 |
+
"aesthete": "esthete",
|
19 |
+
"aesthetes": "esthetes",
|
20 |
+
"aesthetic": "esthetic",
|
21 |
+
"aesthetically": "esthetically",
|
22 |
+
"aesthetics": "esthetics",
|
23 |
+
"aetiology": "etiology",
|
24 |
+
"ageing": "aging",
|
25 |
+
"aggrandisement": "aggrandizement",
|
26 |
+
"agonise": "agonize",
|
27 |
+
"agonised": "agonized",
|
28 |
+
"agonises": "agonizes",
|
29 |
+
"agonising": "agonizing",
|
30 |
+
"agonisingly": "agonizingly",
|
31 |
+
"almanack": "almanac",
|
32 |
+
"almanacks": "almanacs",
|
33 |
+
"aluminium": "aluminum",
|
34 |
+
"amortisable": "amortizable",
|
35 |
+
"amortisation": "amortization",
|
36 |
+
"amortisations": "amortizations",
|
37 |
+
"amortise": "amortize",
|
38 |
+
"amortised": "amortized",
|
39 |
+
"amortises": "amortizes",
|
40 |
+
"amortising": "amortizing",
|
41 |
+
"amphitheatre": "amphitheater",
|
42 |
+
"amphitheatres": "amphitheaters",
|
43 |
+
"anaemia": "anemia",
|
44 |
+
"anaemic": "anemic",
|
45 |
+
"anaesthesia": "anesthesia",
|
46 |
+
"anaesthetic": "anesthetic",
|
47 |
+
"anaesthetics": "anesthetics",
|
48 |
+
"anaesthetise": "anesthetize",
|
49 |
+
"anaesthetised": "anesthetized",
|
50 |
+
"anaesthetises": "anesthetizes",
|
51 |
+
"anaesthetising": "anesthetizing",
|
52 |
+
"anaesthetist": "anesthetist",
|
53 |
+
"anaesthetists": "anesthetists",
|
54 |
+
"anaesthetize": "anesthetize",
|
55 |
+
"anaesthetized": "anesthetized",
|
56 |
+
"anaesthetizes": "anesthetizes",
|
57 |
+
"anaesthetizing": "anesthetizing",
|
58 |
+
"analogue": "analog",
|
59 |
+
"analogues": "analogs",
|
60 |
+
"analyse": "analyze",
|
61 |
+
"analysed": "analyzed",
|
62 |
+
"analyses": "analyzes",
|
63 |
+
"analysing": "analyzing",
|
64 |
+
"anglicise": "anglicize",
|
65 |
+
"anglicised": "anglicized",
|
66 |
+
"anglicises": "anglicizes",
|
67 |
+
"anglicising": "anglicizing",
|
68 |
+
"annualised": "annualized",
|
69 |
+
"antagonise": "antagonize",
|
70 |
+
"antagonised": "antagonized",
|
71 |
+
"antagonises": "antagonizes",
|
72 |
+
"antagonising": "antagonizing",
|
73 |
+
"apologise": "apologize",
|
74 |
+
"apologised": "apologized",
|
75 |
+
"apologises": "apologizes",
|
76 |
+
"apologising": "apologizing",
|
77 |
+
"appal": "appall",
|
78 |
+
"appals": "appalls",
|
79 |
+
"appetiser": "appetizer",
|
80 |
+
"appetisers": "appetizers",
|
81 |
+
"appetising": "appetizing",
|
82 |
+
"appetisingly": "appetizingly",
|
83 |
+
"arbour": "arbor",
|
84 |
+
"arbours": "arbors",
|
85 |
+
"archaeologically": "archeologically",
|
86 |
+
"archaeologist": "archeologist",
|
87 |
+
"archaeologists": "archeologists",
|
88 |
+
"archaeology": "archeology</span>",
|
89 |
+
"archeological": "archaeological",
|
90 |
+
"ardour": "ardor",
|
91 |
+
"armour": "armor",
|
92 |
+
"armoured": "armored",
|
93 |
+
"armourer": "armorer",
|
94 |
+
"armourers": "armorers",
|
95 |
+
"armouries": "armories",
|
96 |
+
"armoury": "armory",
|
97 |
+
"artefact": "artifact",
|
98 |
+
"artefacts": "artifacts",
|
99 |
+
"authorise": "authorize",
|
100 |
+
"authorised": "authorized",
|
101 |
+
"authorises": "authorizes",
|
102 |
+
"authorising": "authorizing",
|
103 |
+
"axe": "ax",
|
104 |
+
"backpedalled": "backpedaled",
|
105 |
+
"backpedalling": "backpedaling",
|
106 |
+
"bannister": "banister",
|
107 |
+
"bannisters": "banisters",
|
108 |
+
"baptise": "baptize",
|
109 |
+
"baptised": "baptized",
|
110 |
+
"baptises": "baptizes",
|
111 |
+
"baptising": "baptizing",
|
112 |
+
"bastardise": "bastardize",
|
113 |
+
"bastardised": "bastardized",
|
114 |
+
"bastardises": "bastardizes",
|
115 |
+
"bastardising": "bastardizing",
|
116 |
+
"battleax": "battleaxe",
|
117 |
+
"baulk": "balk",
|
118 |
+
"baulked": "balked",
|
119 |
+
"baulking": "balking",
|
120 |
+
"baulks": "balks",
|
121 |
+
"bedevilled": "bedeviled",
|
122 |
+
"bedevilling": "bedeviling",
|
123 |
+
"behaviour": "behavior",
|
124 |
+
"behavioural": "behavioral",
|
125 |
+
"behaviourism": "behaviorism",
|
126 |
+
"behaviourist": "behaviorist",
|
127 |
+
"behaviourists": "behaviorists",
|
128 |
+
"behaviours": "behaviors",
|
129 |
+
"behove": "behoove",
|
130 |
+
"behoved": "behooved",
|
131 |
+
"behoves": "behooves",
|
132 |
+
"bejewelled": "bejeweled",
|
133 |
+
"belabour": "belabor",
|
134 |
+
"belaboured": "belabored",
|
135 |
+
"belabouring": "belaboring",
|
136 |
+
"belabours": "belabors",
|
137 |
+
"bevelled": "beveled",
|
138 |
+
"bevvies": "bevies",
|
139 |
+
"bevvy": "bevy",
|
140 |
+
"biassed": "biased",
|
141 |
+
"biassing": "biasing",
|
142 |
+
"bingeing": "binging",
|
143 |
+
"bougainvillaea": "bougainvillea",
|
144 |
+
"bougainvillaeas": "bougainvilleas",
|
145 |
+
"bowdlerise": "bowdlerize",
|
146 |
+
"bowdlerised": "bowdlerized",
|
147 |
+
"bowdlerises": "bowdlerizes",
|
148 |
+
"bowdlerising": "bowdlerizing",
|
149 |
+
"breathalyse": "breathalyze",
|
150 |
+
"breathalysed": "breathalyzed",
|
151 |
+
"breathalyser": "breathalyzer",
|
152 |
+
"breathalysers": "breathalyzers",
|
153 |
+
"breathalyses": "breathalyzes",
|
154 |
+
"breathalysing": "breathalyzing",
|
155 |
+
"brutalise": "brutalize",
|
156 |
+
"brutalised": "brutalized",
|
157 |
+
"brutalises": "brutalizes",
|
158 |
+
"brutalising": "brutalizing",
|
159 |
+
"busses": "buses",
|
160 |
+
"bussing": "busing",
|
161 |
+
"caesarean": "cesarean",
|
162 |
+
"caesareans": "cesareans",
|
163 |
+
"calibre": "caliber",
|
164 |
+
"calibres": "calibers",
|
165 |
+
"calliper": "caliper",
|
166 |
+
"callipers": "calipers",
|
167 |
+
"callisthenics": "calisthenics",
|
168 |
+
"canalise": "canalize",
|
169 |
+
"canalised": "canalized",
|
170 |
+
"canalises": "canalizes",
|
171 |
+
"canalising": "canalizing",
|
172 |
+
"cancelation": "cancellation",
|
173 |
+
"cancelations": "cancellations",
|
174 |
+
"cancelled": "canceled",
|
175 |
+
"cancelling": "canceling",
|
176 |
+
"candour": "candor",
|
177 |
+
"cannibalise": "cannibalize",
|
178 |
+
"cannibalised": "cannibalized",
|
179 |
+
"cannibalises": "cannibalizes",
|
180 |
+
"cannibalising": "cannibalizing",
|
181 |
+
"canonise": "canonize",
|
182 |
+
"canonised": "canonized",
|
183 |
+
"canonises": "canonizes",
|
184 |
+
"canonising": "canonizing",
|
185 |
+
"capitalise": "capitalize",
|
186 |
+
"capitalised": "capitalized",
|
187 |
+
"capitalises": "capitalizes",
|
188 |
+
"capitalising": "capitalizing",
|
189 |
+
"caramelise": "caramelize",
|
190 |
+
"caramelised": "caramelized",
|
191 |
+
"caramelises": "caramelizes",
|
192 |
+
"caramelising": "caramelizing",
|
193 |
+
"carbonise": "carbonize",
|
194 |
+
"carbonised": "carbonized",
|
195 |
+
"carbonises": "carbonizes",
|
196 |
+
"carbonising": "carbonizing",
|
197 |
+
"carolled": "caroled",
|
198 |
+
"carolling": "caroling",
|
199 |
+
"catalogue": "catalog",
|
200 |
+
"catalogued": "cataloged",
|
201 |
+
"catalogues": "catalogs",
|
202 |
+
"cataloguing": "cataloging",
|
203 |
+
"catalyse": "catalyze",
|
204 |
+
"catalysed": "catalyzed",
|
205 |
+
"catalyses": "catalyzes",
|
206 |
+
"catalysing": "catalyzing",
|
207 |
+
"categorise": "categorize",
|
208 |
+
"categorised": "categorized",
|
209 |
+
"categorises": "categorizes",
|
210 |
+
"categorising": "categorizing",
|
211 |
+
"cauterise": "cauterize",
|
212 |
+
"cauterised": "cauterized",
|
213 |
+
"cauterises": "cauterizes",
|
214 |
+
"cauterising": "cauterizing",
|
215 |
+
"cavilled": "caviled",
|
216 |
+
"cavilling": "caviling",
|
217 |
+
"centigramme": "centigram",
|
218 |
+
"centigrammes": "centigrams",
|
219 |
+
"centilitre": "centiliter",
|
220 |
+
"centilitres": "centiliters",
|
221 |
+
"centimetre": "centimeter",
|
222 |
+
"centimetres": "centimeters",
|
223 |
+
"centralise": "centralize",
|
224 |
+
"centralised": "centralized",
|
225 |
+
"centralises": "centralizes",
|
226 |
+
"centralising": "centralizing",
|
227 |
+
"centre": "center",
|
228 |
+
"centred": "centered",
|
229 |
+
"centrefold": "centerfold",
|
230 |
+
"centrefolds": "centerfolds",
|
231 |
+
"centrepiece": "centerpiece",
|
232 |
+
"centrepieces": "centerpieces",
|
233 |
+
"centres": "centers",
|
234 |
+
"channelled": "channeled",
|
235 |
+
"channelling": "channeling",
|
236 |
+
"characterise": "characterize",
|
237 |
+
"characterised": "characterized",
|
238 |
+
"characterises": "characterizes",
|
239 |
+
"characterising": "characterizing",
|
240 |
+
"cheque": "check",
|
241 |
+
"chequebook": "checkbook",
|
242 |
+
"chequebooks": "checkbooks",
|
243 |
+
"chequered": "checkered",
|
244 |
+
"cheques": "checks",
|
245 |
+
"chilli": "chili",
|
246 |
+
"chimaera": "chimera",
|
247 |
+
"chimaeras": "chimeras",
|
248 |
+
"chiselled": "chiseled",
|
249 |
+
"chiselling": "chiseling",
|
250 |
+
"circularise": "circularize",
|
251 |
+
"circularised": "circularized",
|
252 |
+
"circularises": "circularizes",
|
253 |
+
"circularising": "circularizing",
|
254 |
+
"civilise": "civilize",
|
255 |
+
"civilised": "civilized",
|
256 |
+
"civilises": "civilizes",
|
257 |
+
"civilising": "civilizing",
|
258 |
+
"clamour": "clamor",
|
259 |
+
"clamoured": "clamored",
|
260 |
+
"clamouring": "clamoring",
|
261 |
+
"clamours": "clamors",
|
262 |
+
"clangour": "clangor",
|
263 |
+
"clarinettist": "clarinetist",
|
264 |
+
"clarinettists": "clarinetists",
|
265 |
+
"collectivise": "collectivize",
|
266 |
+
"collectivised": "collectivized",
|
267 |
+
"collectivises": "collectivizes",
|
268 |
+
"collectivising": "collectivizing",
|
269 |
+
"colonisation": "colonization",
|
270 |
+
"colonise": "colonize",
|
271 |
+
"colonised": "colonized",
|
272 |
+
"coloniser": "colonizer",
|
273 |
+
"colonisers": "colonizers",
|
274 |
+
"colonises": "colonizes",
|
275 |
+
"colonising": "colonizing",
|
276 |
+
"colour": "color",
|
277 |
+
"colourant": "colorant",
|
278 |
+
"colourants": "colorants",
|
279 |
+
"coloured": "colored",
|
280 |
+
"coloureds": "coloreds",
|
281 |
+
"colourful": "colorful",
|
282 |
+
"colourfully": "colorfully",
|
283 |
+
"colouring": "coloring",
|
284 |
+
"colourize": "colorize",
|
285 |
+
"colourized": "colorized",
|
286 |
+
"colourizes": "colorizes",
|
287 |
+
"colourizing": "colorizing",
|
288 |
+
"colourless": "colorless",
|
289 |
+
"colours": "colors",
|
290 |
+
"commercialise": "commercialize",
|
291 |
+
"commercialised": "commercialized",
|
292 |
+
"commercialises": "commercializes",
|
293 |
+
"commercialising": "commercializing",
|
294 |
+
"compartmentalise": "compartmentalize",
|
295 |
+
"compartmentalised": "compartmentalized",
|
296 |
+
"compartmentalises": "compartmentalizes",
|
297 |
+
"compartmentalising": "compartmentalizing",
|
298 |
+
"computerise": "computerize",
|
299 |
+
"computerised": "computerized",
|
300 |
+
"computerises": "computerizes",
|
301 |
+
"computerising": "computerizing",
|
302 |
+
"conceptualise": "conceptualize",
|
303 |
+
"conceptualised": "conceptualized",
|
304 |
+
"conceptualises": "conceptualizes",
|
305 |
+
"conceptualising": "conceptualizing",
|
306 |
+
"connexion": "connection",
|
307 |
+
"connexions": "connections",
|
308 |
+
"contextualise": "contextualize",
|
309 |
+
"contextualised": "contextualized",
|
310 |
+
"contextualises": "contextualizes",
|
311 |
+
"contextualising": "contextualizing",
|
312 |
+
"cosier": "cozier",
|
313 |
+
"cosies": "cozies",
|
314 |
+
"cosiest": "coziest",
|
315 |
+
"cosily": "cozily",
|
316 |
+
"cosiness": "coziness",
|
317 |
+
"cosy": "cozy",
|
318 |
+
"councillor": "councilor",
|
319 |
+
"councillors": "councilors",
|
320 |
+
"counselled": "counseled",
|
321 |
+
"counselling": "counseling",
|
322 |
+
"counsellor": "counselor",
|
323 |
+
"counsellors": "counselors",
|
324 |
+
"crenelated": "crenellated",
|
325 |
+
"criminalise": "criminalize",
|
326 |
+
"criminalised": "criminalized",
|
327 |
+
"criminalises": "criminalizes",
|
328 |
+
"criminalising": "criminalizing",
|
329 |
+
"criticise": "criticize",
|
330 |
+
"criticised": "criticized",
|
331 |
+
"criticises": "criticizes",
|
332 |
+
"criticising": "criticizing",
|
333 |
+
"crueller": "crueler",
|
334 |
+
"cruellest": "cruelest",
|
335 |
+
"crystallisation": "crystallization",
|
336 |
+
"crystallise": "crystallize",
|
337 |
+
"crystallised": "crystallized",
|
338 |
+
"crystallises": "crystallizes",
|
339 |
+
"crystallising": "crystallizing",
|
340 |
+
"cudgelled": "cudgeled",
|
341 |
+
"cudgelling": "cudgeling",
|
342 |
+
"customise": "customize",
|
343 |
+
"customised": "customized",
|
344 |
+
"customises": "customizes",
|
345 |
+
"customising": "customizing",
|
346 |
+
"cypher": "cipher",
|
347 |
+
"cyphers": "ciphers",
|
348 |
+
"decentralisation": "decentralization",
|
349 |
+
"decentralise": "decentralize",
|
350 |
+
"decentralised": "decentralized",
|
351 |
+
"decentralises": "decentralizes",
|
352 |
+
"decentralising": "decentralizing",
|
353 |
+
"decriminalisation": "decriminalization",
|
354 |
+
"decriminalise": "decriminalize",
|
355 |
+
"decriminalised": "decriminalized",
|
356 |
+
"decriminalises": "decriminalizes",
|
357 |
+
"decriminalising": "decriminalizing",
|
358 |
+
"defence": "defense",
|
359 |
+
"defenceless": "defenseless",
|
360 |
+
"defences": "defenses",
|
361 |
+
"dehumanisation": "dehumanization",
|
362 |
+
"dehumanise": "dehumanize",
|
363 |
+
"dehumanised": "dehumanized",
|
364 |
+
"dehumanises": "dehumanizes",
|
365 |
+
"dehumanising": "dehumanizing",
|
366 |
+
"demeanour": "demeanor",
|
367 |
+
"demilitarisation": "demilitarization",
|
368 |
+
"demilitarise": "demilitarize",
|
369 |
+
"demilitarised": "demilitarized",
|
370 |
+
"demilitarises": "demilitarizes",
|
371 |
+
"demilitarising": "demilitarizing",
|
372 |
+
"demobilisation": "demobilization",
|
373 |
+
"demobilise": "demobilize",
|
374 |
+
"demobilised": "demobilized",
|
375 |
+
"demobilises": "demobilizes",
|
376 |
+
"demobilising": "demobilizing",
|
377 |
+
"democratisation": "democratization",
|
378 |
+
"democratise": "democratize",
|
379 |
+
"democratised": "democratized",
|
380 |
+
"democratises": "democratizes",
|
381 |
+
"democratising": "democratizing",
|
382 |
+
"demonise": "demonize",
|
383 |
+
"demonised": "demonized",
|
384 |
+
"demonises": "demonizes",
|
385 |
+
"demonising": "demonizing",
|
386 |
+
"demoralisation": "demoralization",
|
387 |
+
"demoralise": "demoralize",
|
388 |
+
"demoralised": "demoralized",
|
389 |
+
"demoralises": "demoralizes",
|
390 |
+
"demoralising": "demoralizing",
|
391 |
+
"denationalisation": "denationalization",
|
392 |
+
"denationalise": "denationalize",
|
393 |
+
"denationalised": "denationalized",
|
394 |
+
"denationalises": "denationalizes",
|
395 |
+
"denationalising": "denationalizing",
|
396 |
+
"deodorise": "deodorize",
|
397 |
+
"deodorised": "deodorized",
|
398 |
+
"deodorises": "deodorizes",
|
399 |
+
"deodorising": "deodorizing",
|
400 |
+
"depersonalise": "depersonalize",
|
401 |
+
"depersonalised": "depersonalized",
|
402 |
+
"depersonalises": "depersonalizes",
|
403 |
+
"depersonalising": "depersonalizing",
|
404 |
+
"deputise": "deputize",
|
405 |
+
"deputised": "deputized",
|
406 |
+
"deputises": "deputizes",
|
407 |
+
"deputising": "deputizing",
|
408 |
+
"desensitisation": "desensitization",
|
409 |
+
"desensitise": "desensitize",
|
410 |
+
"desensitised": "desensitized",
|
411 |
+
"desensitises": "desensitizes",
|
412 |
+
"desensitising": "desensitizing",
|
413 |
+
"destabilisation": "destabilization",
|
414 |
+
"destabilise": "destabilize",
|
415 |
+
"destabilised": "destabilized",
|
416 |
+
"destabilises": "destabilizes",
|
417 |
+
"destabilising": "destabilizing",
|
418 |
+
"dialled": "dialed",
|
419 |
+
"dialling": "dialing",
|
420 |
+
"dialogue": "dialog",
|
421 |
+
"dialogues": "dialogs",
|
422 |
+
"diarrhoea": "diarrhea",
|
423 |
+
"digitise": "digitize",
|
424 |
+
"digitised": "digitized",
|
425 |
+
"digitises": "digitizes",
|
426 |
+
"digitising": "digitizing",
|
427 |
+
"disc": "disk",
|
428 |
+
"discolour": "discolor",
|
429 |
+
"discoloured": "discolored",
|
430 |
+
"discolouring": "discoloring",
|
431 |
+
"discolours": "discolors",
|
432 |
+
"discs": "disks",
|
433 |
+
"disembowelled": "disemboweled",
|
434 |
+
"disembowelling": "disemboweling",
|
435 |
+
"disfavour": "disfavor",
|
436 |
+
"dishevelled": "disheveled",
|
437 |
+
"dishonour": "dishonor",
|
438 |
+
"dishonourable": "dishonorable",
|
439 |
+
"dishonourably": "dishonorably",
|
440 |
+
"dishonoured": "dishonored",
|
441 |
+
"dishonouring": "dishonoring",
|
442 |
+
"dishonours": "dishonors",
|
443 |
+
"disorganisation": "disorganization",
|
444 |
+
"disorganised": "disorganized",
|
445 |
+
"distil": "distill",
|
446 |
+
"distils": "distills",
|
447 |
+
"dramatisation": "dramatization",
|
448 |
+
"dramatisations": "dramatizations",
|
449 |
+
"dramatise": "dramatize",
|
450 |
+
"dramatised": "dramatized",
|
451 |
+
"dramatises": "dramatizes",
|
452 |
+
"dramatising": "dramatizing",
|
453 |
+
"draught": "draft",
|
454 |
+
"draughtboard": "draftboard",
|
455 |
+
"draughtboards": "draftboards",
|
456 |
+
"draughtier": "draftier",
|
457 |
+
"draughtiest": "draftiest",
|
458 |
+
"draughts": "drafts",
|
459 |
+
"draughtsman": "draftsman",
|
460 |
+
"draughtsmanship": "draftsmanship",
|
461 |
+
"draughtsmen": "draftsmen",
|
462 |
+
"draughtswoman": "draftswoman",
|
463 |
+
"draughtswomen": "draftswomen",
|
464 |
+
"draughty": "drafty",
|
465 |
+
"drivelled": "driveled",
|
466 |
+
"drivelling": "driveling",
|
467 |
+
"duelled": "dueled",
|
468 |
+
"duelling": "dueling",
|
469 |
+
"economise": "economize",
|
470 |
+
"economised": "economized",
|
471 |
+
"economises": "economizes",
|
472 |
+
"economising": "economizing",
|
473 |
+
"editorialise": "editorialize",
|
474 |
+
"editorialised": "editorialized",
|
475 |
+
"editorialises": "editorializes",
|
476 |
+
"editorialising": "editorializing",
|
477 |
+
"edoema": "edema",
|
478 |
+
"empathise": "empathize",
|
479 |
+
"empathised": "empathized",
|
480 |
+
"empathises": "empathizes",
|
481 |
+
"empathising": "empathizing",
|
482 |
+
"emphasise": "emphasize",
|
483 |
+
"emphasised": "emphasized",
|
484 |
+
"emphasises": "emphasizes",
|
485 |
+
"emphasising": "emphasizing",
|
486 |
+
"enamelled": "enameled",
|
487 |
+
"enamelling": "enameling",
|
488 |
+
"enamoured": "enamored",
|
489 |
+
"encyclopaedia": "encyclopedia",
|
490 |
+
"encyclopaedias": "encyclopedias",
|
491 |
+
"encyclopaedic": "encyclopedic",
|
492 |
+
"endeavour": "endeavor",
|
493 |
+
"endeavoured": "endeavored",
|
494 |
+
"endeavouring": "endeavoring",
|
495 |
+
"endeavours": "endeavors",
|
496 |
+
"energise": "energize",
|
497 |
+
"energised": "energized",
|
498 |
+
"energises": "energizes",
|
499 |
+
"energising": "energizing",
|
500 |
+
"enrol": "enroll",
|
501 |
+
"enrols": "enrolls",
|
502 |
+
"enthral": "enthrall",
|
503 |
+
"enthrals": "enthralls",
|
504 |
+
"epaulette": "epaulet",
|
505 |
+
"epaulettes": "epaulets",
|
506 |
+
"epicentre": "epicenter",
|
507 |
+
"epicentres": "epicenters",
|
508 |
+
"epilogue": "epilog",
|
509 |
+
"epilogues": "epilogs",
|
510 |
+
"epitomise": "epitomize",
|
511 |
+
"epitomised": "epitomized",
|
512 |
+
"epitomises": "epitomizes",
|
513 |
+
"epitomising": "epitomizing",
|
514 |
+
"equalisation": "equalization",
|
515 |
+
"equalise": "equalize",
|
516 |
+
"equalised": "equalized",
|
517 |
+
"equaliser": "equalizer",
|
518 |
+
"equalisers": "equalizers",
|
519 |
+
"equalises": "equalizes",
|
520 |
+
"equalising": "equalizing",
|
521 |
+
"eulogise": "eulogize",
|
522 |
+
"eulogised": "eulogized",
|
523 |
+
"eulogises": "eulogizes",
|
524 |
+
"eulogising": "eulogizing",
|
525 |
+
"evangelise": "evangelize",
|
526 |
+
"evangelised": "evangelized",
|
527 |
+
"evangelises": "evangelizes",
|
528 |
+
"evangelising": "evangelizing",
|
529 |
+
"exorcise": "exorcize",
|
530 |
+
"exorcised": "exorcized",
|
531 |
+
"exorcises": "exorcizes",
|
532 |
+
"exorcising": "exorcizing",
|
533 |
+
"extemporisation": "extemporization",
|
534 |
+
"extemporise": "extemporize",
|
535 |
+
"extemporised": "extemporized",
|
536 |
+
"extemporises": "extemporizes",
|
537 |
+
"extemporising": "extemporizing",
|
538 |
+
"externalisation": "externalization",
|
539 |
+
"externalisations": "externalizations",
|
540 |
+
"externalise": "externalize",
|
541 |
+
"externalised": "externalized",
|
542 |
+
"externalises": "externalizes",
|
543 |
+
"externalising": "externalizing",
|
544 |
+
"factorise": "factorize",
|
545 |
+
"factorised": "factorized",
|
546 |
+
"factorises": "factorizes",
|
547 |
+
"factorising": "factorizing",
|
548 |
+
"faecal": "fecal",
|
549 |
+
"faeces": "feces",
|
550 |
+
"familiarisation": "familiarization",
|
551 |
+
"familiarise": "familiarize",
|
552 |
+
"familiarised": "familiarized",
|
553 |
+
"familiarises": "familiarizes",
|
554 |
+
"familiarising": "familiarizing",
|
555 |
+
"fantasise": "fantasize",
|
556 |
+
"fantasised": "fantasized",
|
557 |
+
"fantasises": "fantasizes",
|
558 |
+
"fantasising": "fantasizing",
|
559 |
+
"favour": "favor",
|
560 |
+
"favourable": "favorable",
|
561 |
+
"favourably": "favorably",
|
562 |
+
"favoured": "favored",
|
563 |
+
"favouring": "favoring",
|
564 |
+
"favourite": "favorite",
|
565 |
+
"favourites": "favorites",
|
566 |
+
"favouritism": "favoritism",
|
567 |
+
"favours": "favors",
|
568 |
+
"feminise": "feminize",
|
569 |
+
"feminised": "feminized",
|
570 |
+
"feminises": "feminizes",
|
571 |
+
"feminising": "feminizing",
|
572 |
+
"fertilisation": "fertilization",
|
573 |
+
"fertilise": "fertilize",
|
574 |
+
"fertilised": "fertilized",
|
575 |
+
"fertiliser": "fertilizer",
|
576 |
+
"fertilisers": "fertilizers",
|
577 |
+
"fertilises": "fertilizes",
|
578 |
+
"fertilising": "fertilizing",
|
579 |
+
"fervour": "fervor",
|
580 |
+
"fibre": "fiber",
|
581 |
+
"fibreglass": "fiberglass",
|
582 |
+
"fibres": "fibers",
|
583 |
+
"fictionalisation": "fictionalization",
|
584 |
+
"fictionalisations": "fictionalizations",
|
585 |
+
"fictionalise": "fictionalize",
|
586 |
+
"fictionalised": "fictionalized",
|
587 |
+
"fictionalises": "fictionalizes",
|
588 |
+
"fictionalising": "fictionalizing",
|
589 |
+
"fillet": "filet",
|
590 |
+
"filleted": "fileted",
|
591 |
+
"filleting": "fileting",
|
592 |
+
"fillets": "filets",
|
593 |
+
"finalisation": "finalization",
|
594 |
+
"finalise": "finalize",
|
595 |
+
"finalised": "finalized",
|
596 |
+
"finalises": "finalizes",
|
597 |
+
"finalising": "finalizing",
|
598 |
+
"flautist": "flutist",
|
599 |
+
"flautists": "flutists",
|
600 |
+
"flavour": "flavor",
|
601 |
+
"flavoured": "flavored",
|
602 |
+
"flavouring": "flavoring",
|
603 |
+
"flavourings": "flavorings",
|
604 |
+
"flavourless": "flavorless",
|
605 |
+
"flavours": "flavors",
|
606 |
+
"flavoursome": "flavorsome",
|
607 |
+
"flyer / flier": "flier / flyer",
|
608 |
+
"foetal": "fetal",
|
609 |
+
"foetid": "fetid",
|
610 |
+
"foetus": "fetus",
|
611 |
+
"foetuses": "fetuses",
|
612 |
+
"formalisation": "formalization",
|
613 |
+
"formalise": "formalize",
|
614 |
+
"formalised": "formalized",
|
615 |
+
"formalises": "formalizes",
|
616 |
+
"formalising": "formalizing",
|
617 |
+
"fossilisation": "fossilization",
|
618 |
+
"fossilise": "fossilize",
|
619 |
+
"fossilised": "fossilized",
|
620 |
+
"fossilises": "fossilizes",
|
621 |
+
"fossilising": "fossilizing",
|
622 |
+
"fraternisation": "fraternization",
|
623 |
+
"fraternise": "fraternize",
|
624 |
+
"fraternised": "fraternized",
|
625 |
+
"fraternises": "fraternizes",
|
626 |
+
"fraternising": "fraternizing",
|
627 |
+
"fulfil": "fulfill",
|
628 |
+
"fulfilment": "fulfillment",
|
629 |
+
"fulfils": "fulfills",
|
630 |
+
"funnelled": "funneled",
|
631 |
+
"funnelling": "funneling",
|
632 |
+
"gage": "gauge",
|
633 |
+
"gaged": "gauged",
|
634 |
+
"gages": "gauges",
|
635 |
+
"gaging": "gauging",
|
636 |
+
"galvanise": "galvanize",
|
637 |
+
"galvanised": "galvanized",
|
638 |
+
"galvanises": "galvanizes",
|
639 |
+
"galvanising": "galvanizing",
|
640 |
+
"gambolled": "gamboled",
|
641 |
+
"gambolling": "gamboling",
|
642 |
+
"gaol": "jail",
|
643 |
+
"gaolbird": "jailbird",
|
644 |
+
"gaolbirds": "jailbirds",
|
645 |
+
"gaolbreak": "jailbreak",
|
646 |
+
"gaolbreaks": "jailbreaks",
|
647 |
+
"gaoled": "jailed",
|
648 |
+
"gaoler": "jailer",
|
649 |
+
"gaolers": "jailers",
|
650 |
+
"gaoling": "jailing",
|
651 |
+
"gaols": "jails",
|
652 |
+
"gasses": "gases",
|
653 |
+
"generalisation": "generalization",
|
654 |
+
"generalisations": "generalizations",
|
655 |
+
"generalise": "generalize",
|
656 |
+
"generalised": "generalized",
|
657 |
+
"generalises": "generalizes",
|
658 |
+
"generalising": "generalizing",
|
659 |
+
"ghettoise": "ghettoize",
|
660 |
+
"ghettoised": "ghettoized",
|
661 |
+
"ghettoises": "ghettoizes",
|
662 |
+
"ghettoising": "ghettoizing",
|
663 |
+
"gipsies": "gypsies",
|
664 |
+
"glamor": "glamour",
|
665 |
+
"glamorise": "glamorize",
|
666 |
+
"glamorised": "glamorized",
|
667 |
+
"glamorises": "glamorizes",
|
668 |
+
"glamorising": "glamorizing",
|
669 |
+
"globalisation": "globalization",
|
670 |
+
"globalise": "globalize",
|
671 |
+
"globalised": "globalized",
|
672 |
+
"globalises": "globalizes",
|
673 |
+
"globalising": "globalizing",
|
674 |
+
"glueing": "gluing",
|
675 |
+
"goitre": "goiter",
|
676 |
+
"goitres": "goiters",
|
677 |
+
"gonorrhoea": "gonorrhea",
|
678 |
+
"gramme": "gram",
|
679 |
+
"grammes": "grams",
|
680 |
+
"gravelled": "graveled",
|
681 |
+
"grey": "gray",
|
682 |
+
"greyed": "grayed",
|
683 |
+
"greying": "graying",
|
684 |
+
"greyish": "grayish",
|
685 |
+
"greyness": "grayness",
|
686 |
+
"greys": "grays",
|
687 |
+
"grovelled": "groveled",
|
688 |
+
"grovelling": "groveling",
|
689 |
+
"groyne": "groin",
|
690 |
+
"groynes": "groins",
|
691 |
+
"gruelling": "grueling",
|
692 |
+
"gruellingly": "gruelingly",
|
693 |
+
"gryphon": "griffin",
|
694 |
+
"gryphons": "griffins",
|
695 |
+
"gynaecological": "gynecological",
|
696 |
+
"gynaecologist": "gynecologist",
|
697 |
+
"gynaecologists": "gynecologists",
|
698 |
+
"gynaecology": "gynecology",
|
699 |
+
"haematological": "hematological",
|
700 |
+
"haematologist": "hematologist",
|
701 |
+
"haematologists": "hematologists",
|
702 |
+
"haematology": "hematology",
|
703 |
+
"haemoglobin": "hemoglobin",
|
704 |
+
"haemophilia": "hemophilia",
|
705 |
+
"haemophiliac": "hemophiliac",
|
706 |
+
"haemophiliacs": "hemophiliacs",
|
707 |
+
"haemorrhage": "hemorrhage",
|
708 |
+
"haemorrhaged": "hemorrhaged",
|
709 |
+
"haemorrhages": "hemorrhages",
|
710 |
+
"haemorrhaging": "hemorrhaging",
|
711 |
+
"haemorrhoids": "hemorrhoids",
|
712 |
+
"harbour": "harbor",
|
713 |
+
"harboured": "harbored",
|
714 |
+
"harbouring": "harboring",
|
715 |
+
"harbours": "harbors",
|
716 |
+
"harmonisation": "harmonization",
|
717 |
+
"harmonise": "harmonize",
|
718 |
+
"harmonised": "harmonized",
|
719 |
+
"harmonises": "harmonizes",
|
720 |
+
"harmonising": "harmonizing",
|
721 |
+
"homoeopath": "homeopath",
|
722 |
+
"homoeopathic": "homeopathic",
|
723 |
+
"homoeopaths": "homeopaths",
|
724 |
+
"homoeopathy": "homeopathy",
|
725 |
+
"homogenise": "homogenize",
|
726 |
+
"homogenised": "homogenized",
|
727 |
+
"homogenises": "homogenizes",
|
728 |
+
"homogenising": "homogenizing",
|
729 |
+
"honour": "honor",
|
730 |
+
"honourable": "honorable",
|
731 |
+
"honourably": "honorably",
|
732 |
+
"honoured": "honored",
|
733 |
+
"honouring": "honoring",
|
734 |
+
"honours": "honors",
|
735 |
+
"hospitalisation": "hospitalization",
|
736 |
+
"hospitalise": "hospitalize",
|
737 |
+
"hospitalised": "hospitalized",
|
738 |
+
"hospitalises": "hospitalizes",
|
739 |
+
"hospitalising": "hospitalizing",
|
740 |
+
"humanise": "humanize",
|
741 |
+
"humanised": "humanized",
|
742 |
+
"humanises": "humanizes",
|
743 |
+
"humanising": "humanizing",
|
744 |
+
"humour": "humor",
|
745 |
+
"humoured": "humored",
|
746 |
+
"humouring": "humoring",
|
747 |
+
"humourless": "humorless",
|
748 |
+
"humours": "humors",
|
749 |
+
"hybridise": "hybridize",
|
750 |
+
"hybridised": "hybridized",
|
751 |
+
"hybridises": "hybridizes",
|
752 |
+
"hybridising": "hybridizing",
|
753 |
+
"hypnotise": "hypnotize",
|
754 |
+
"hypnotised": "hypnotized",
|
755 |
+
"hypnotises": "hypnotizes",
|
756 |
+
"hypnotising": "hypnotizing",
|
757 |
+
"hypothesise": "hypothesize",
|
758 |
+
"hypothesised": "hypothesized",
|
759 |
+
"hypothesises": "hypothesizes",
|
760 |
+
"hypothesising": "hypothesizing",
|
761 |
+
"idealisation": "idealization",
|
762 |
+
"idealise": "idealize",
|
763 |
+
"idealised": "idealized",
|
764 |
+
"idealises": "idealizes",
|
765 |
+
"idealising": "idealizing",
|
766 |
+
"idolise": "idolize",
|
767 |
+
"idolised": "idolized",
|
768 |
+
"idolises": "idolizes",
|
769 |
+
"idolising": "idolizing",
|
770 |
+
"immobilisation": "immobilization",
|
771 |
+
"immobilise": "immobilize",
|
772 |
+
"immobilised": "immobilized",
|
773 |
+
"immobiliser": "immobilizer",
|
774 |
+
"immobilisers": "immobilizers",
|
775 |
+
"immobilises": "immobilizes",
|
776 |
+
"immobilising": "immobilizing",
|
777 |
+
"immortalise": "immortalize",
|
778 |
+
"immortalised": "immortalized",
|
779 |
+
"immortalises": "immortalizes",
|
780 |
+
"immortalising": "immortalizing",
|
781 |
+
"immunisation": "immunization",
|
782 |
+
"immunise": "immunize",
|
783 |
+
"immunised": "immunized",
|
784 |
+
"immunises": "immunizes",
|
785 |
+
"immunising": "immunizing",
|
786 |
+
"impanelled": "impaneled",
|
787 |
+
"impanelling": "impaneling",
|
788 |
+
"imperilled": "imperiled",
|
789 |
+
"imperilling": "imperiling",
|
790 |
+
"individualise": "individualize",
|
791 |
+
"individualised": "individualized",
|
792 |
+
"individualises": "individualizes",
|
793 |
+
"individualising": "individualizing",
|
794 |
+
"industrialise": "industrialize",
|
795 |
+
"industrialised": "industrialized",
|
796 |
+
"industrialises": "industrializes",
|
797 |
+
"industrialising": "industrializing",
|
798 |
+
"inflexion": "inflection",
|
799 |
+
"inflexions": "inflections",
|
800 |
+
"initialise": "initialize",
|
801 |
+
"initialised": "initialized",
|
802 |
+
"initialises": "initializes",
|
803 |
+
"initialising": "initializing",
|
804 |
+
"initialled": "initialed",
|
805 |
+
"initialling": "initialing",
|
806 |
+
"instal": "install",
|
807 |
+
"instalment": "installment",
|
808 |
+
"instalments": "installments",
|
809 |
+
"instals": "installs",
|
810 |
+
"instil": "instill",
|
811 |
+
"instils": "instills",
|
812 |
+
"institutionalisation": "institutionalization",
|
813 |
+
"institutionalise": "institutionalize",
|
814 |
+
"institutionalised": "institutionalized",
|
815 |
+
"institutionalises": "institutionalizes",
|
816 |
+
"institutionalising": "institutionalizing",
|
817 |
+
"intellectualise": "intellectualize",
|
818 |
+
"intellectualised": "intellectualized",
|
819 |
+
"intellectualises": "intellectualizes",
|
820 |
+
"intellectualising": "intellectualizing",
|
821 |
+
"internalisation": "internalization",
|
822 |
+
"internalise": "internalize",
|
823 |
+
"internalised": "internalized",
|
824 |
+
"internalises": "internalizes",
|
825 |
+
"internalising": "internalizing",
|
826 |
+
"internationalisation": "internationalization",
|
827 |
+
"internationalise": "internationalize",
|
828 |
+
"internationalised": "internationalized",
|
829 |
+
"internationalises": "internationalizes",
|
830 |
+
"internationalising": "internationalizing",
|
831 |
+
"ionisation": "ionization",
|
832 |
+
"ionise": "ionize",
|
833 |
+
"ionised": "ionized",
|
834 |
+
"ioniser": "ionizer",
|
835 |
+
"ionisers": "ionizers",
|
836 |
+
"ionises": "ionizes",
|
837 |
+
"ionising": "ionizing",
|
838 |
+
"italicise": "italicize",
|
839 |
+
"italicised": "italicized",
|
840 |
+
"italicises": "italicizes",
|
841 |
+
"italicising": "italicizing",
|
842 |
+
"itemise": "itemize",
|
843 |
+
"itemised": "itemized",
|
844 |
+
"itemises": "itemizes",
|
845 |
+
"itemising": "itemizing",
|
846 |
+
"jeopardise": "jeopardize",
|
847 |
+
"jeopardised": "jeopardized",
|
848 |
+
"jeopardises": "jeopardizes",
|
849 |
+
"jeopardising": "jeopardizing",
|
850 |
+
"jewelled": "jeweled",
|
851 |
+
"jeweller": "jeweler",
|
852 |
+
"jewellers": "jewelers",
|
853 |
+
"jewellery": "jewelry",
|
854 |
+
"judgement": "judgment",
|
855 |
+
"kilogramme": "kilogram",
|
856 |
+
"kilogrammes": "kilograms",
|
857 |
+
"kilometre": "kilometer",
|
858 |
+
"kilometres": "kilometers",
|
859 |
+
"labelled": "labeled",
|
860 |
+
"labelling": "labeling",
|
861 |
+
"labour": "labor",
|
862 |
+
"laboured": "labored",
|
863 |
+
"labourer": "laborer",
|
864 |
+
"labourers": "laborers",
|
865 |
+
"labouring": "laboring",
|
866 |
+
"labours": "labors",
|
867 |
+
"lacklustre": "lackluster",
|
868 |
+
"legalisation": "legalization",
|
869 |
+
"legalise": "legalize",
|
870 |
+
"legalised": "legalized",
|
871 |
+
"legalises": "legalizes",
|
872 |
+
"legalising": "legalizing",
|
873 |
+
"legitimise": "legitimize",
|
874 |
+
"legitimised": "legitimized",
|
875 |
+
"legitimises": "legitimizes",
|
876 |
+
"legitimising": "legitimizing",
|
877 |
+
"leukaemia": "leukemia",
|
878 |
+
"levelled": "leveled",
|
879 |
+
"leveller": "leveler",
|
880 |
+
"levellers": "levelers",
|
881 |
+
"levelling": "leveling",
|
882 |
+
"libelled": "libeled",
|
883 |
+
"libelling": "libeling",
|
884 |
+
"libellous": "libelous",
|
885 |
+
"liberalisation": "liberalization",
|
886 |
+
"liberalise": "liberalize",
|
887 |
+
"liberalised": "liberalized",
|
888 |
+
"liberalises": "liberalizes",
|
889 |
+
"liberalising": "liberalizing",
|
890 |
+
"licence": "license",
|
891 |
+
"licenced": "licensed",
|
892 |
+
"licences": "licenses",
|
893 |
+
"licencing": "licensing",
|
894 |
+
"likeable": "likable",
|
895 |
+
"lionisation": "lionization",
|
896 |
+
"lionise": "lionize",
|
897 |
+
"lionised": "lionized",
|
898 |
+
"lionises": "lionizes",
|
899 |
+
"lionising": "lionizing",
|
900 |
+
"liquidise": "liquidize",
|
901 |
+
"liquidised": "liquidized",
|
902 |
+
"liquidiser": "liquidizer",
|
903 |
+
"liquidisers": "liquidizers",
|
904 |
+
"liquidises": "liquidizes",
|
905 |
+
"liquidising": "liquidizing",
|
906 |
+
"litre": "liter",
|
907 |
+
"litres": "liters",
|
908 |
+
"localise": "localize",
|
909 |
+
"localised": "localized",
|
910 |
+
"localises": "localizes",
|
911 |
+
"localising": "localizing",
|
912 |
+
"louvre": "louver",
|
913 |
+
"louvred": "louvered",
|
914 |
+
"louvres": "louvers",
|
915 |
+
"lustre": "luster",
|
916 |
+
"magnetise": "magnetize",
|
917 |
+
"magnetised": "magnetized",
|
918 |
+
"magnetises": "magnetizes",
|
919 |
+
"magnetising": "magnetizing",
|
920 |
+
"manoeuvrability": "maneuverability",
|
921 |
+
"manoeuvrable": "maneuverable",
|
922 |
+
"manoeuvre": "maneuver",
|
923 |
+
"manoeuvred": "maneuvered",
|
924 |
+
"manoeuvres": "maneuvers",
|
925 |
+
"manoeuvring": "maneuvering",
|
926 |
+
"manoeuvrings": "maneuverings",
|
927 |
+
"marginalisation": "marginalization",
|
928 |
+
"marginalise": "marginalize",
|
929 |
+
"marginalised": "marginalized",
|
930 |
+
"marginalises": "marginalizes",
|
931 |
+
"marginalising": "marginalizing",
|
932 |
+
"marshalled": "marshaled",
|
933 |
+
"marshalling": "marshaling",
|
934 |
+
"marvelled": "marveled",
|
935 |
+
"marvelling": "marveling",
|
936 |
+
"marvellous": "marvelous",
|
937 |
+
"marvellously": "marvelously",
|
938 |
+
"materialisation": "materialization",
|
939 |
+
"materialise": "materialize",
|
940 |
+
"materialised": "materialized",
|
941 |
+
"materialises": "materializes",
|
942 |
+
"materialising": "materializing",
|
943 |
+
"maximisation": "maximization",
|
944 |
+
"maximise": "maximize",
|
945 |
+
"maximised": "maximized",
|
946 |
+
"maximises": "maximizes",
|
947 |
+
"maximising": "maximizing",
|
948 |
+
"meagre": "meager",
|
949 |
+
"mechanisation": "mechanization",
|
950 |
+
"mechanise": "mechanize",
|
951 |
+
"mechanised": "mechanized",
|
952 |
+
"mechanises": "mechanizes",
|
953 |
+
"mechanising": "mechanizing",
|
954 |
+
"mediaeval": "medieval",
|
955 |
+
"memorialise": "memorialize",
|
956 |
+
"memorialised": "memorialized",
|
957 |
+
"memorialises": "memorializes",
|
958 |
+
"memorialising": "memorializing",
|
959 |
+
"memorise": "memorize",
|
960 |
+
"memorised": "memorized",
|
961 |
+
"memorises": "memorizes",
|
962 |
+
"memorising": "memorizing",
|
963 |
+
"mesmerise": "mesmerize",
|
964 |
+
"mesmerised": "mesmerized",
|
965 |
+
"mesmerises": "mesmerizes",
|
966 |
+
"mesmerising": "mesmerizing",
|
967 |
+
"metabolise": "metabolize",
|
968 |
+
"metabolised": "metabolized",
|
969 |
+
"metabolises": "metabolizes",
|
970 |
+
"metabolising": "metabolizing",
|
971 |
+
"metre": "meter",
|
972 |
+
"metres": "meters",
|
973 |
+
"mhm": "hmm",
|
974 |
+
"micrometre": "micrometer",
|
975 |
+
"micrometres": "micrometers",
|
976 |
+
"militarise": "militarize",
|
977 |
+
"militarised": "militarized",
|
978 |
+
"militarises": "militarizes",
|
979 |
+
"militarising": "militarizing",
|
980 |
+
"milligramme": "milligram",
|
981 |
+
"milligrammes": "milligrams",
|
982 |
+
"millilitre": "milliliter",
|
983 |
+
"millilitres": "milliliters",
|
984 |
+
"millimetre": "millimeter",
|
985 |
+
"millimetres": "millimeters",
|
986 |
+
"miniaturisation": "miniaturization",
|
987 |
+
"miniaturise": "miniaturize",
|
988 |
+
"miniaturised": "miniaturized",
|
989 |
+
"miniaturises": "miniaturizes",
|
990 |
+
"miniaturising": "miniaturizing",
|
991 |
+
"minibusses": "minibuses",
|
992 |
+
"minimise": "minimize",
|
993 |
+
"minimised": "minimized",
|
994 |
+
"minimises": "minimizes",
|
995 |
+
"minimising": "minimizing",
|
996 |
+
"misbehaviour": "misbehavior",
|
997 |
+
"misdemeanour": "misdemeanor",
|
998 |
+
"misdemeanours": "misdemeanors",
|
999 |
+
"misspelt": "misspelled",
|
1000 |
+
"mitre": "miter",
|
1001 |
+
"mitres": "miters",
|
1002 |
+
"mm": "hmm",
|
1003 |
+
"mmm": "hmm",
|
1004 |
+
"mobilisation": "mobilization",
|
1005 |
+
"mobilise": "mobilize",
|
1006 |
+
"mobilised": "mobilized",
|
1007 |
+
"mobilises": "mobilizes",
|
1008 |
+
"mobilising": "mobilizing",
|
1009 |
+
"modelled": "modeled",
|
1010 |
+
"modeller": "modeler",
|
1011 |
+
"modellers": "modelers",
|
1012 |
+
"modelling": "modeling",
|
1013 |
+
"modernise": "modernize",
|
1014 |
+
"modernised": "modernized",
|
1015 |
+
"modernises": "modernizes",
|
1016 |
+
"modernising": "modernizing",
|
1017 |
+
"moisturise": "moisturize",
|
1018 |
+
"moisturised": "moisturized",
|
1019 |
+
"moisturiser": "moisturizer",
|
1020 |
+
"moisturisers": "moisturizers",
|
1021 |
+
"moisturises": "moisturizes",
|
1022 |
+
"moisturising": "moisturizing",
|
1023 |
+
"monologue": "monolog",
|
1024 |
+
"monologues": "monologs",
|
1025 |
+
"monopolisation": "monopolization",
|
1026 |
+
"monopolise": "monopolize",
|
1027 |
+
"monopolised": "monopolized",
|
1028 |
+
"monopolises": "monopolizes",
|
1029 |
+
"monopolising": "monopolizing",
|
1030 |
+
"moralise": "moralize",
|
1031 |
+
"moralised": "moralized",
|
1032 |
+
"moralises": "moralizes",
|
1033 |
+
"moralising": "moralizing",
|
1034 |
+
"motorised": "motorized",
|
1035 |
+
"mould": "mold",
|
1036 |
+
"moulded": "molded",
|
1037 |
+
"moulder": "molder",
|
1038 |
+
"mouldered": "moldered",
|
1039 |
+
"mouldering": "moldering",
|
1040 |
+
"moulders": "molders",
|
1041 |
+
"mouldier": "moldier",
|
1042 |
+
"mouldiest": "moldiest",
|
1043 |
+
"moulding": "molding",
|
1044 |
+
"mouldings": "moldings",
|
1045 |
+
"moulds": "molds",
|
1046 |
+
"mouldy": "moldy",
|
1047 |
+
"moult": "molt",
|
1048 |
+
"moulted": "molted",
|
1049 |
+
"moulting": "molting",
|
1050 |
+
"moults": "molts",
|
1051 |
+
"moustache": "mustache",
|
1052 |
+
"moustached": "mustached",
|
1053 |
+
"moustaches": "mustaches",
|
1054 |
+
"moustachioed": "mustachioed",
|
1055 |
+
"multicoloured": "multicolored",
|
1056 |
+
"nationalisation": "nationalization",
|
1057 |
+
"nationalisations": "nationalizations",
|
1058 |
+
"nationalise": "nationalize",
|
1059 |
+
"nationalised": "nationalized",
|
1060 |
+
"nationalises": "nationalizes",
|
1061 |
+
"nationalising": "nationalizing",
|
1062 |
+
"naturalisation": "naturalization",
|
1063 |
+
"naturalise": "naturalize",
|
1064 |
+
"naturalised": "naturalized",
|
1065 |
+
"naturalises": "naturalizes",
|
1066 |
+
"naturalising": "naturalizing",
|
1067 |
+
"neighbour": "neighbor",
|
1068 |
+
"neighbourhood": "neighborhood",
|
1069 |
+
"neighbourhoods": "neighborhoods",
|
1070 |
+
"neighbouring": "neighboring",
|
1071 |
+
"neighbourliness": "neighborliness",
|
1072 |
+
"neighbourly": "neighborly",
|
1073 |
+
"neighbours": "neighbors",
|
1074 |
+
"neutralisation": "neutralization",
|
1075 |
+
"neutralise": "neutralize",
|
1076 |
+
"neutralised": "neutralized",
|
1077 |
+
"neutralises": "neutralizes",
|
1078 |
+
"neutralising": "neutralizing",
|
1079 |
+
"normalisation": "normalization",
|
1080 |
+
"normalise": "normalize",
|
1081 |
+
"normalised": "normalized",
|
1082 |
+
"normalises": "normalizes",
|
1083 |
+
"normalising": "normalizing",
|
1084 |
+
"odour": "odor",
|
1085 |
+
"odourless": "odorless",
|
1086 |
+
"odours": "odors",
|
1087 |
+
"oesophagus": "esophagus",
|
1088 |
+
"oesophaguses": "esophaguses",
|
1089 |
+
"oestrogen": "estrogen",
|
1090 |
+
"offence": "offense",
|
1091 |
+
"offences": "offenses",
|
1092 |
+
"omelette": "omelet",
|
1093 |
+
"omelettes": "omelets",
|
1094 |
+
"optimise": "optimize",
|
1095 |
+
"optimised": "optimized",
|
1096 |
+
"optimises": "optimizes",
|
1097 |
+
"optimising": "optimizing",
|
1098 |
+
"organisation": "organization",
|
1099 |
+
"organisational": "organizational",
|
1100 |
+
"organisations": "organizations",
|
1101 |
+
"organise": "organize",
|
1102 |
+
"organised": "organized",
|
1103 |
+
"organiser": "organizer",
|
1104 |
+
"organisers": "organizers",
|
1105 |
+
"organises": "organizes",
|
1106 |
+
"organising": "organizing",
|
1107 |
+
"orthopaedic": "orthopedic",
|
1108 |
+
"orthopaedics": "orthopedics",
|
1109 |
+
"ostracise": "ostracize",
|
1110 |
+
"ostracised": "ostracized",
|
1111 |
+
"ostracises": "ostracizes",
|
1112 |
+
"ostracising": "ostracizing",
|
1113 |
+
"outmanoeuvre": "outmaneuver",
|
1114 |
+
"outmanoeuvred": "outmaneuvered",
|
1115 |
+
"outmanoeuvres": "outmaneuvers",
|
1116 |
+
"outmanoeuvring": "outmaneuvering",
|
1117 |
+
"overemphasise": "overemphasize",
|
1118 |
+
"overemphasised": "overemphasized",
|
1119 |
+
"overemphasises": "overemphasizes",
|
1120 |
+
"overemphasising": "overemphasizing",
|
1121 |
+
"oxidisation": "oxidization",
|
1122 |
+
"oxidise": "oxidize",
|
1123 |
+
"oxidised": "oxidized",
|
1124 |
+
"oxidises": "oxidizes",
|
1125 |
+
"oxidising": "oxidizing",
|
1126 |
+
"paederast": "pederast",
|
1127 |
+
"paederasts": "pederasts",
|
1128 |
+
"paediatric": "pediatric",
|
1129 |
+
"paediatrician": "pediatrician",
|
1130 |
+
"paediatricians": "pediatricians",
|
1131 |
+
"paediatrics": "pediatrics",
|
1132 |
+
"paedophile": "pedophile",
|
1133 |
+
"paedophiles": "pedophiles",
|
1134 |
+
"paedophilia": "pedophilia",
|
1135 |
+
"palaeolithic": "paleolithic",
|
1136 |
+
"palaeontologist": "paleontologist",
|
1137 |
+
"palaeontologists": "paleontologists",
|
1138 |
+
"palaeontology": "paleontology",
|
1139 |
+
"panelled": "paneled",
|
1140 |
+
"panelling": "paneling",
|
1141 |
+
"panellist": "panelist",
|
1142 |
+
"panellists": "panelists",
|
1143 |
+
"paralyse": "paralyze",
|
1144 |
+
"paralysed": "paralyzed",
|
1145 |
+
"paralyses": "paralyzes",
|
1146 |
+
"paralysing": "paralyzing",
|
1147 |
+
"parcelled": "parceled",
|
1148 |
+
"parcelling": "parceling",
|
1149 |
+
"parlour": "parlor",
|
1150 |
+
"parlours": "parlors",
|
1151 |
+
"particularise": "particularize",
|
1152 |
+
"particularised": "particularized",
|
1153 |
+
"particularises": "particularizes",
|
1154 |
+
"particularising": "particularizing",
|
1155 |
+
"passivisation": "passivization",
|
1156 |
+
"passivise": "passivize",
|
1157 |
+
"passivised": "passivized",
|
1158 |
+
"passivises": "passivizes",
|
1159 |
+
"passivising": "passivizing",
|
1160 |
+
"pasteurisation": "pasteurization",
|
1161 |
+
"pasteurise": "pasteurize",
|
1162 |
+
"pasteurised": "pasteurized",
|
1163 |
+
"pasteurises": "pasteurizes",
|
1164 |
+
"pasteurising": "pasteurizing",
|
1165 |
+
"patronise": "patronize",
|
1166 |
+
"patronised": "patronized",
|
1167 |
+
"patronises": "patronizes",
|
1168 |
+
"patronising": "patronizing",
|
1169 |
+
"patronisingly": "patronizingly",
|
1170 |
+
"pedalled": "pedaled",
|
1171 |
+
"pedalling": "pedaling",
|
1172 |
+
"pedestrianisation": "pedestrianization",
|
1173 |
+
"pedestrianise": "pedestrianize",
|
1174 |
+
"pedestrianised": "pedestrianized",
|
1175 |
+
"pedestrianises": "pedestrianizes",
|
1176 |
+
"pedestrianising": "pedestrianizing",
|
1177 |
+
"penalise": "penalize",
|
1178 |
+
"penalised": "penalized",
|
1179 |
+
"penalises": "penalizes",
|
1180 |
+
"penalising": "penalizing",
|
1181 |
+
"pencilled": "penciled",
|
1182 |
+
"pencilling": "penciling",
|
1183 |
+
"personalise": "personalize",
|
1184 |
+
"personalised": "personalized",
|
1185 |
+
"personalises": "personalizes",
|
1186 |
+
"personalising": "personalizing",
|
1187 |
+
"pharmacopoeia": "pharmacopeia",
|
1188 |
+
"pharmacopoeias": "pharmacopeias",
|
1189 |
+
"philosophise": "philosophize",
|
1190 |
+
"philosophised": "philosophized",
|
1191 |
+
"philosophises": "philosophizes",
|
1192 |
+
"philosophising": "philosophizing",
|
1193 |
+
"philtre": "filter",
|
1194 |
+
"philtres": "filters",
|
1195 |
+
"phoney": "phony",
|
1196 |
+
"plagiarise": "plagiarize",
|
1197 |
+
"plagiarised": "plagiarized",
|
1198 |
+
"plagiarises": "plagiarizes",
|
1199 |
+
"plagiarising": "plagiarizing",
|
1200 |
+
"plough": "plow",
|
1201 |
+
"ploughed": "plowed",
|
1202 |
+
"ploughing": "plowing",
|
1203 |
+
"ploughman": "plowman",
|
1204 |
+
"ploughmen": "plowmen",
|
1205 |
+
"ploughs": "plows",
|
1206 |
+
"ploughshare": "plowshare",
|
1207 |
+
"ploughshares": "plowshares",
|
1208 |
+
"polarisation": "polarization",
|
1209 |
+
"polarise": "polarize",
|
1210 |
+
"polarised": "polarized",
|
1211 |
+
"polarises": "polarizes",
|
1212 |
+
"polarising": "polarizing",
|
1213 |
+
"politicisation": "politicization",
|
1214 |
+
"politicise": "politicize",
|
1215 |
+
"politicised": "politicized",
|
1216 |
+
"politicises": "politicizes",
|
1217 |
+
"politicising": "politicizing",
|
1218 |
+
"popularisation": "popularization",
|
1219 |
+
"popularise": "popularize",
|
1220 |
+
"popularised": "popularized",
|
1221 |
+
"popularises": "popularizes",
|
1222 |
+
"popularising": "popularizing",
|
1223 |
+
"pouffe": "pouf",
|
1224 |
+
"pouffes": "poufs",
|
1225 |
+
"practise": "practice",
|
1226 |
+
"practised": "practiced",
|
1227 |
+
"practises": "practices",
|
1228 |
+
"practising": "practicing",
|
1229 |
+
"praesidium": "presidium",
|
1230 |
+
"praesidiums": "presidiums",
|
1231 |
+
"pressurisation": "pressurization",
|
1232 |
+
"pressurise": "pressurize",
|
1233 |
+
"pressurised": "pressurized",
|
1234 |
+
"pressurises": "pressurizes",
|
1235 |
+
"pressurising": "pressurizing",
|
1236 |
+
"pretence": "pretense",
|
1237 |
+
"pretences": "pretenses",
|
1238 |
+
"primaeval": "primeval",
|
1239 |
+
"prioritisation": "prioritization",
|
1240 |
+
"prioritise": "prioritize",
|
1241 |
+
"prioritised": "prioritized",
|
1242 |
+
"prioritises": "prioritizes",
|
1243 |
+
"prioritising": "prioritizing",
|
1244 |
+
"privatisation": "privatization",
|
1245 |
+
"privatisations": "privatizations",
|
1246 |
+
"privatise": "privatize",
|
1247 |
+
"privatised": "privatized",
|
1248 |
+
"privatises": "privatizes",
|
1249 |
+
"privatising": "privatizing",
|
1250 |
+
"professionalisation": "professionalization",
|
1251 |
+
"professionalise": "professionalize",
|
1252 |
+
"professionalised": "professionalized",
|
1253 |
+
"professionalises": "professionalizes",
|
1254 |
+
"professionalising": "professionalizing",
|
1255 |
+
"programme": "program",
|
1256 |
+
"programmes": "programs",
|
1257 |
+
"prologue": "prolog",
|
1258 |
+
"prologues": "prologs",
|
1259 |
+
"propagandise": "propagandize",
|
1260 |
+
"propagandised": "propagandized",
|
1261 |
+
"propagandises": "propagandizes",
|
1262 |
+
"propagandising": "propagandizing",
|
1263 |
+
"proselytise": "proselytize",
|
1264 |
+
"proselytised": "proselytized",
|
1265 |
+
"proselytiser": "proselytizer",
|
1266 |
+
"proselytisers": "proselytizers",
|
1267 |
+
"proselytises": "proselytizes",
|
1268 |
+
"proselytising": "proselytizing",
|
1269 |
+
"psychoanalyse": "psychoanalyze",
|
1270 |
+
"psychoanalysed": "psychoanalyzed",
|
1271 |
+
"psychoanalyses": "psychoanalyzes",
|
1272 |
+
"psychoanalysing": "psychoanalyzing",
|
1273 |
+
"publicise": "publicize",
|
1274 |
+
"publicised": "publicized",
|
1275 |
+
"publicises": "publicizes",
|
1276 |
+
"publicising": "publicizing",
|
1277 |
+
"pulverisation": "pulverization",
|
1278 |
+
"pulverise": "pulverize",
|
1279 |
+
"pulverised": "pulverized",
|
1280 |
+
"pulverises": "pulverizes",
|
1281 |
+
"pulverising": "pulverizing",
|
1282 |
+
"pummelled": "pummel",
|
1283 |
+
"pummelling": "pummeled",
|
1284 |
+
"pyjama": "pajama",
|
1285 |
+
"pyjamas": "pajamas",
|
1286 |
+
"pzazz": "pizzazz",
|
1287 |
+
"quarrelled": "quarreled",
|
1288 |
+
"quarrelling": "quarreling",
|
1289 |
+
"radicalise": "radicalize",
|
1290 |
+
"radicalised": "radicalized",
|
1291 |
+
"radicalises": "radicalizes",
|
1292 |
+
"radicalising": "radicalizing",
|
1293 |
+
"rancour": "rancor",
|
1294 |
+
"randomise": "randomize",
|
1295 |
+
"randomised": "randomized",
|
1296 |
+
"randomises": "randomizes",
|
1297 |
+
"randomising": "randomizing",
|
1298 |
+
"rationalisation": "rationalization",
|
1299 |
+
"rationalisations": "rationalizations",
|
1300 |
+
"rationalise": "rationalize",
|
1301 |
+
"rationalised": "rationalized",
|
1302 |
+
"rationalises": "rationalizes",
|
1303 |
+
"rationalising": "rationalizing",
|
1304 |
+
"ravelled": "raveled",
|
1305 |
+
"ravelling": "raveling",
|
1306 |
+
"realisable": "realizable",
|
1307 |
+
"realisation": "realization",
|
1308 |
+
"realisations": "realizations",
|
1309 |
+
"realise": "realize",
|
1310 |
+
"realised": "realized",
|
1311 |
+
"realises": "realizes",
|
1312 |
+
"realising": "realizing",
|
1313 |
+
"recognisable": "recognizable",
|
1314 |
+
"recognisably": "recognizably",
|
1315 |
+
"recognisance": "recognizance",
|
1316 |
+
"recognise": "recognize",
|
1317 |
+
"recognised": "recognized",
|
1318 |
+
"recognises": "recognizes",
|
1319 |
+
"recognising": "recognizing",
|
1320 |
+
"reconnoitre": "reconnoiter",
|
1321 |
+
"reconnoitred": "reconnoitered",
|
1322 |
+
"reconnoitres": "reconnoiters",
|
1323 |
+
"reconnoitring": "reconnoitering",
|
1324 |
+
"refuelled": "refueled",
|
1325 |
+
"refuelling": "refueling",
|
1326 |
+
"regularisation": "regularization",
|
1327 |
+
"regularise": "regularize",
|
1328 |
+
"regularised": "regularized",
|
1329 |
+
"regularises": "regularizes",
|
1330 |
+
"regularising": "regularizing",
|
1331 |
+
"remodelled": "remodeled",
|
1332 |
+
"remodelling": "remodeling",
|
1333 |
+
"remould": "remold",
|
1334 |
+
"remoulded": "remolded",
|
1335 |
+
"remoulding": "remolding",
|
1336 |
+
"remoulds": "remolds",
|
1337 |
+
"reorganisation": "reorganization",
|
1338 |
+
"reorganisations": "reorganizations",
|
1339 |
+
"reorganise": "reorganize",
|
1340 |
+
"reorganised": "reorganized",
|
1341 |
+
"reorganises": "reorganizes",
|
1342 |
+
"reorganising": "reorganizing",
|
1343 |
+
"revelled": "reveled",
|
1344 |
+
"reveller": "reveler",
|
1345 |
+
"revellers": "revelers",
|
1346 |
+
"revelling": "reveling",
|
1347 |
+
"revitalise": "revitalize",
|
1348 |
+
"revitalised": "revitalized",
|
1349 |
+
"revitalises": "revitalizes",
|
1350 |
+
"revitalising": "revitalizing",
|
1351 |
+
"revolutionise": "revolutionize",
|
1352 |
+
"revolutionised": "revolutionized",
|
1353 |
+
"revolutionises": "revolutionizes",
|
1354 |
+
"revolutionising": "revolutionizing",
|
1355 |
+
"rhapsodise": "rhapsodize",
|
1356 |
+
"rhapsodised": "rhapsodized",
|
1357 |
+
"rhapsodises": "rhapsodizes",
|
1358 |
+
"rhapsodising": "rhapsodizing",
|
1359 |
+
"rigour": "rigor",
|
1360 |
+
"rigours": "rigors",
|
1361 |
+
"ritualised": "ritualized",
|
1362 |
+
"rivalled": "rivaled",
|
1363 |
+
"rivalling": "rivaling",
|
1364 |
+
"romanticise": "romanticize",
|
1365 |
+
"romanticised": "romanticized",
|
1366 |
+
"romanticises": "romanticizes",
|
1367 |
+
"romanticising": "romanticizing",
|
1368 |
+
"rumour": "rumor",
|
1369 |
+
"rumoured": "rumored",
|
1370 |
+
"rumours": "rumors",
|
1371 |
+
"sabre": "saber",
|
1372 |
+
"sabres": "sabers",
|
1373 |
+
"saltpetre": "saltpeter",
|
1374 |
+
"sanitise": "sanitize",
|
1375 |
+
"sanitised": "sanitized",
|
1376 |
+
"sanitises": "sanitizes",
|
1377 |
+
"sanitising": "sanitizing",
|
1378 |
+
"satirise": "satirize",
|
1379 |
+
"satirised": "satirized",
|
1380 |
+
"satirises": "satirizes",
|
1381 |
+
"satirising": "satirizing",
|
1382 |
+
"saviour": "savior",
|
1383 |
+
"saviours": "saviors",
|
1384 |
+
"savour": "savor",
|
1385 |
+
"savoured": "savored",
|
1386 |
+
"savouries": "savories",
|
1387 |
+
"savouring": "savoring",
|
1388 |
+
"savours": "savors",
|
1389 |
+
"savoury": "savory",
|
1390 |
+
"scandalise": "scandalize",
|
1391 |
+
"scandalised": "scandalized",
|
1392 |
+
"scandalises": "scandalizes",
|
1393 |
+
"scandalising": "scandalizing",
|
1394 |
+
"sceptic": "skeptic",
|
1395 |
+
"sceptical": "skeptical",
|
1396 |
+
"sceptically": "skeptically",
|
1397 |
+
"scepticism": "skepticism",
|
1398 |
+
"sceptics": "skeptics",
|
1399 |
+
"sceptre": "scepter",
|
1400 |
+
"sceptres": "scepters",
|
1401 |
+
"scrutinise": "scrutinize",
|
1402 |
+
"scrutinised": "scrutinized",
|
1403 |
+
"scrutinises": "scrutinizes",
|
1404 |
+
"scrutinising": "scrutinizing",
|
1405 |
+
"secularisation": "secularization",
|
1406 |
+
"secularise": "secularize",
|
1407 |
+
"secularised": "secularized",
|
1408 |
+
"secularises": "secularizes",
|
1409 |
+
"secularising": "secularizing",
|
1410 |
+
"sensationalise": "sensationalize",
|
1411 |
+
"sensationalised": "sensationalized",
|
1412 |
+
"sensationalises": "sensationalizes",
|
1413 |
+
"sensationalising": "sensationalizing",
|
1414 |
+
"sensitise": "sensitize",
|
1415 |
+
"sensitised": "sensitized",
|
1416 |
+
"sensitises": "sensitizes",
|
1417 |
+
"sensitising": "sensitizing",
|
1418 |
+
"sentimentalise": "sentimentalize",
|
1419 |
+
"sentimentalised": "sentimentalized",
|
1420 |
+
"sentimentalises": "sentimentalizes",
|
1421 |
+
"sentimentalising": "sentimentalizing",
|
1422 |
+
"sepulchre": "sepulcher",
|
1423 |
+
"sepulchres": "sepulchers",
|
1424 |
+
"serialisation": "serialization",
|
1425 |
+
"serialisations": "serializations",
|
1426 |
+
"serialise": "serialize",
|
1427 |
+
"serialised": "serialized",
|
1428 |
+
"serialises": "serializes",
|
1429 |
+
"serialising": "serializing",
|
1430 |
+
"sermonise": "sermonize",
|
1431 |
+
"sermonised": "sermonized",
|
1432 |
+
"sermonises": "sermonizes",
|
1433 |
+
"sermonising": "sermonizing",
|
1434 |
+
"sheikh": "sheik",
|
1435 |
+
"shovelled": "shoveled",
|
1436 |
+
"shovelling": "shoveling",
|
1437 |
+
"shrivelled": "shriveled",
|
1438 |
+
"shrivelling": "shriveling",
|
1439 |
+
"signalise": "signalize",
|
1440 |
+
"signalised": "signalized",
|
1441 |
+
"signalises": "signalizes",
|
1442 |
+
"signalising": "signalizing",
|
1443 |
+
"signalled": "signaled",
|
1444 |
+
"signalling": "signaling",
|
1445 |
+
"smoulder": "smolder",
|
1446 |
+
"smouldered": "smoldered",
|
1447 |
+
"smouldering": "smoldering",
|
1448 |
+
"smoulders": "smolders",
|
1449 |
+
"snivelled": "sniveled",
|
1450 |
+
"snivelling": "sniveling",
|
1451 |
+
"snorkelled": "snorkeled",
|
1452 |
+
"snorkelling": "snorkeling",
|
1453 |
+
"snowplough": "snowplow",
|
1454 |
+
"snowploughs": "snowplow",
|
1455 |
+
"socialisation": "socialization",
|
1456 |
+
"socialise": "socialize",
|
1457 |
+
"socialised": "socialized",
|
1458 |
+
"socialises": "socializes",
|
1459 |
+
"socialising": "socializing",
|
1460 |
+
"sodomise": "sodomize",
|
1461 |
+
"sodomised": "sodomized",
|
1462 |
+
"sodomises": "sodomizes",
|
1463 |
+
"sodomising": "sodomizing",
|
1464 |
+
"solemnise": "solemnize",
|
1465 |
+
"solemnised": "solemnized",
|
1466 |
+
"solemnises": "solemnizes",
|
1467 |
+
"solemnising": "solemnizing",
|
1468 |
+
"sombre": "somber",
|
1469 |
+
"specialisation": "specialization",
|
1470 |
+
"specialisations": "specializations",
|
1471 |
+
"specialise": "specialize",
|
1472 |
+
"specialised": "specialized",
|
1473 |
+
"specialises": "specializes",
|
1474 |
+
"specialising": "specializing",
|
1475 |
+
"spectre": "specter",
|
1476 |
+
"spectres": "specters",
|
1477 |
+
"spiralled": "spiraled",
|
1478 |
+
"spiralling": "spiraling",
|
1479 |
+
"splendour": "splendor",
|
1480 |
+
"splendours": "splendors",
|
1481 |
+
"squirrelled": "squirreled",
|
1482 |
+
"squirrelling": "squirreling",
|
1483 |
+
"stabilisation": "stabilization",
|
1484 |
+
"stabilise": "stabilize",
|
1485 |
+
"stabilised": "stabilized",
|
1486 |
+
"stabiliser": "stabilizer",
|
1487 |
+
"stabilisers": "stabilizers",
|
1488 |
+
"stabilises": "stabilizes",
|
1489 |
+
"stabilising": "stabilizing",
|
1490 |
+
"standardisation": "standardization",
|
1491 |
+
"standardise": "standardize",
|
1492 |
+
"standardised": "standardized",
|
1493 |
+
"standardises": "standardizes",
|
1494 |
+
"standardising": "standardizing",
|
1495 |
+
"stencilled": "stenciled",
|
1496 |
+
"stencilling": "stenciling",
|
1497 |
+
"sterilisation": "sterilization",
|
1498 |
+
"sterilisations": "sterilizations",
|
1499 |
+
"sterilise": "sterilize",
|
1500 |
+
"sterilised": "sterilized",
|
1501 |
+
"steriliser": "sterilizer",
|
1502 |
+
"sterilisers": "sterilizers",
|
1503 |
+
"sterilises": "sterilizes",
|
1504 |
+
"sterilising": "sterilizing",
|
1505 |
+
"stigmatisation": "stigmatization",
|
1506 |
+
"stigmatise": "stigmatize",
|
1507 |
+
"stigmatised": "stigmatized",
|
1508 |
+
"stigmatises": "stigmatizes",
|
1509 |
+
"stigmatising": "stigmatizing",
|
1510 |
+
"storey": "story",
|
1511 |
+
"storeys": "stories",
|
1512 |
+
"subsidisation": "subsidization",
|
1513 |
+
"subsidise": "subsidize",
|
1514 |
+
"subsidised": "subsidized",
|
1515 |
+
"subsidiser": "subsidizer",
|
1516 |
+
"subsidisers": "subsidizers",
|
1517 |
+
"subsidises": "subsidizes",
|
1518 |
+
"subsidising": "subsidizing",
|
1519 |
+
"succour": "succor",
|
1520 |
+
"succoured": "succored",
|
1521 |
+
"succouring": "succoring",
|
1522 |
+
"succours": "succors",
|
1523 |
+
"sulphate": "sulfate",
|
1524 |
+
"sulphates": "sulfates",
|
1525 |
+
"sulphide": "sulfide",
|
1526 |
+
"sulphides": "sulfides",
|
1527 |
+
"sulphur": "sulfur",
|
1528 |
+
"sulphurous": "sulfurous",
|
1529 |
+
"summarise": "summarize",
|
1530 |
+
"summarised": "summarized",
|
1531 |
+
"summarises": "summarizes",
|
1532 |
+
"summarising": "summarizing",
|
1533 |
+
"swivelled": "swiveled",
|
1534 |
+
"swivelling": "swiveling",
|
1535 |
+
"symbolise": "symbolize",
|
1536 |
+
"symbolised": "symbolized",
|
1537 |
+
"symbolises": "symbolizes",
|
1538 |
+
"symbolising": "symbolizing",
|
1539 |
+
"sympathise": "sympathize",
|
1540 |
+
"sympathised": "sympathized",
|
1541 |
+
"sympathiser": "sympathizer",
|
1542 |
+
"sympathisers": "sympathizers",
|
1543 |
+
"sympathises": "sympathizes",
|
1544 |
+
"sympathising": "sympathizing",
|
1545 |
+
"synchronisation": "synchronization",
|
1546 |
+
"synchronise": "synchronize",
|
1547 |
+
"synchronised": "synchronized",
|
1548 |
+
"synchronises": "synchronizes",
|
1549 |
+
"synchronising": "synchronizing",
|
1550 |
+
"synthesise": "synthesize",
|
1551 |
+
"synthesised": "synthesized",
|
1552 |
+
"synthesiser": "synthesizer",
|
1553 |
+
"synthesisers": "synthesizers",
|
1554 |
+
"synthesises": "synthesizes",
|
1555 |
+
"synthesising": "synthesizing",
|
1556 |
+
"syphon": "siphon",
|
1557 |
+
"syphoned": "siphoned",
|
1558 |
+
"syphoning": "siphoning",
|
1559 |
+
"syphons": "siphons",
|
1560 |
+
"systematisation": "systematization",
|
1561 |
+
"systematise": "systematize",
|
1562 |
+
"systematised": "systematized",
|
1563 |
+
"systematises": "systematizes",
|
1564 |
+
"systematising": "systematizing",
|
1565 |
+
"tantalise": "tantalize",
|
1566 |
+
"tantalised": "tantalized",
|
1567 |
+
"tantalises": "tantalizes",
|
1568 |
+
"tantalising": "tantalizing",
|
1569 |
+
"tantalisingly": "tantalizingly",
|
1570 |
+
"tasselled": "tasseled",
|
1571 |
+
"technicolour": "technicolor",
|
1572 |
+
"temporise": "temporize",
|
1573 |
+
"temporised": "temporized",
|
1574 |
+
"temporises": "temporizes",
|
1575 |
+
"temporising": "temporizing",
|
1576 |
+
"tenderise": "tenderize",
|
1577 |
+
"tenderised": "tenderized",
|
1578 |
+
"tenderises": "tenderizes",
|
1579 |
+
"tenderising": "tenderizing",
|
1580 |
+
"terrorise": "terrorize",
|
1581 |
+
"terrorised": "terrorized",
|
1582 |
+
"terrorises": "terrorizes",
|
1583 |
+
"terrorising": "terrorizing",
|
1584 |
+
"theatre": "theater",
|
1585 |
+
"theatregoer": "theatergoer",
|
1586 |
+
"theatregoers": "theatergoers",
|
1587 |
+
"theatres": "theaters",
|
1588 |
+
"theorise": "theorize",
|
1589 |
+
"theorised": "theorized",
|
1590 |
+
"theorises": "theorizes",
|
1591 |
+
"theorising": "theorizing",
|
1592 |
+
"tonne": "ton",
|
1593 |
+
"tonnes": "tons",
|
1594 |
+
"towelled": "toweled",
|
1595 |
+
"towelling": "toweling",
|
1596 |
+
"toxaemia": "toxemia",
|
1597 |
+
"tranquillise": "tranquilize",
|
1598 |
+
"tranquillised": "tranquilized",
|
1599 |
+
"tranquilliser": "tranquilizer",
|
1600 |
+
"tranquillisers": "tranquilizers",
|
1601 |
+
"tranquillises": "tranquilizes",
|
1602 |
+
"tranquillising": "tranquilizing",
|
1603 |
+
"tranquillity": "tranquility",
|
1604 |
+
"tranquillize": "tranquilize",
|
1605 |
+
"tranquillized": "tranquilized",
|
1606 |
+
"tranquillizer": "tranquilizer",
|
1607 |
+
"tranquillizers": "tranquilizers",
|
1608 |
+
"tranquillizes": "tranquilizes",
|
1609 |
+
"tranquillizing": "tranquilizing",
|
1610 |
+
"tranquilly": "tranquility",
|
1611 |
+
"transistorised": "transistorized",
|
1612 |
+
"traumatise": "traumatize",
|
1613 |
+
"traumatised": "traumatized",
|
1614 |
+
"traumatises": "traumatizes",
|
1615 |
+
"traumatising": "traumatizing",
|
1616 |
+
"travelled": "traveled",
|
1617 |
+
"traveller": "traveler",
|
1618 |
+
"travellers": "travelers",
|
1619 |
+
"travelling": "traveling",
|
1620 |
+
"travelog": "travelogue",
|
1621 |
+
"travelogs": "travelogues",
|
1622 |
+
"trialled": "trialed",
|
1623 |
+
"trialling": "trialing",
|
1624 |
+
"tricolour": "tricolor",
|
1625 |
+
"tricolours": "tricolors",
|
1626 |
+
"trivialise": "trivialize",
|
1627 |
+
"trivialised": "trivialized",
|
1628 |
+
"trivialises": "trivializes",
|
1629 |
+
"trivialising": "trivializing",
|
1630 |
+
"tumour": "tumor",
|
1631 |
+
"tumours": "tumors",
|
1632 |
+
"tunnelled": "tunneled",
|
1633 |
+
"tunnelling": "tunneling",
|
1634 |
+
"tyrannise": "tyrannize",
|
1635 |
+
"tyrannised": "tyrannized",
|
1636 |
+
"tyrannises": "tyrannizes",
|
1637 |
+
"tyrannising": "tyrannizing",
|
1638 |
+
"tyre": "tire",
|
1639 |
+
"tyres": "tires",
|
1640 |
+
"unauthorised": "unauthorized",
|
1641 |
+
"uncivilised": "uncivilized",
|
1642 |
+
"underutilised": "underutilized",
|
1643 |
+
"unequalled": "unequaled",
|
1644 |
+
"unfavourable": "unfavorable",
|
1645 |
+
"unfavourably": "unfavorably",
|
1646 |
+
"unionisation": "unionization",
|
1647 |
+
"unionise": "unionize",
|
1648 |
+
"unionised": "unionized",
|
1649 |
+
"unionises": "unionizes",
|
1650 |
+
"unionising": "unionizing",
|
1651 |
+
"unorganised": "unorganized",
|
1652 |
+
"unravelled": "unraveled",
|
1653 |
+
"unravelling": "unraveling",
|
1654 |
+
"unrecognisable": "unrecognizable",
|
1655 |
+
"unrecognised": "unrecognized",
|
1656 |
+
"unrivalled": "unrivaled",
|
1657 |
+
"unsavoury": "unsavory",
|
1658 |
+
"untrammelled": "untrammeled",
|
1659 |
+
"urbanisation": "urbanization",
|
1660 |
+
"urbanise": "urbanize",
|
1661 |
+
"urbanised": "urbanized",
|
1662 |
+
"urbanises": "urbanizes",
|
1663 |
+
"urbanising": "urbanizing",
|
1664 |
+
"utilisable": "utilizable",
|
1665 |
+
"utilisation": "utilization",
|
1666 |
+
"utilise": "utilize",
|
1667 |
+
"utilised": "utilized",
|
1668 |
+
"utilises": "utilizes",
|
1669 |
+
"utilising": "utilizing",
|
1670 |
+
"valour": "valor",
|
1671 |
+
"vandalise": "vandalize",
|
1672 |
+
"vandalised": "vandalized",
|
1673 |
+
"vandalises": "vandalizes",
|
1674 |
+
"vandalising": "vandalizing",
|
1675 |
+
"vaporisation": "vaporization",
|
1676 |
+
"vaporise": "vaporize",
|
1677 |
+
"vaporised": "vaporized",
|
1678 |
+
"vaporises": "vaporizes",
|
1679 |
+
"vaporising": "vaporizing",
|
1680 |
+
"vapour": "vapor",
|
1681 |
+
"vapours": "vapors",
|
1682 |
+
"verbalise": "verbalize",
|
1683 |
+
"verbalised": "verbalized",
|
1684 |
+
"verbalises": "verbalizes",
|
1685 |
+
"verbalising": "verbalizing",
|
1686 |
+
"victimisation": "victimization",
|
1687 |
+
"victimise": "victimize",
|
1688 |
+
"victimised": "victimized",
|
1689 |
+
"victimises": "victimizes",
|
1690 |
+
"victimising": "victimizing",
|
1691 |
+
"videodisc": "videodisk",
|
1692 |
+
"videodiscs": "videodisks",
|
1693 |
+
"vigour": "vigor",
|
1694 |
+
"visualisation": "visualization",
|
1695 |
+
"visualisations": "visualizations",
|
1696 |
+
"visualise": "visualize",
|
1697 |
+
"visualised": "visualized",
|
1698 |
+
"visualises": "visualizes",
|
1699 |
+
"visualising": "visualizing",
|
1700 |
+
"vocalisation": "vocalization",
|
1701 |
+
"vocalisations": "vocalizations",
|
1702 |
+
"vocalise": "vocalize",
|
1703 |
+
"vocalised": "vocalized",
|
1704 |
+
"vocalises": "vocalizes",
|
1705 |
+
"vocalising": "vocalizing",
|
1706 |
+
"vulcanised": "vulcanized",
|
1707 |
+
"vulgarisation": "vulgarization",
|
1708 |
+
"vulgarise": "vulgarize",
|
1709 |
+
"vulgarised": "vulgarized",
|
1710 |
+
"vulgarises": "vulgarizes",
|
1711 |
+
"vulgarising": "vulgarizing",
|
1712 |
+
"waggon": "wagon",
|
1713 |
+
"waggons": "wagons",
|
1714 |
+
"watercolour": "watercolor",
|
1715 |
+
"watercolours": "watercolors",
|
1716 |
+
"weaselled": "weaseled",
|
1717 |
+
"weaselling": "weaseling",
|
1718 |
+
"westernisation": "westernization",
|
1719 |
+
"westernise": "westernize",
|
1720 |
+
"westernised": "westernized",
|
1721 |
+
"westernises": "westernizes",
|
1722 |
+
"westernising": "westernizing",
|
1723 |
+
"womanise": "womanize",
|
1724 |
+
"womanised": "womanized",
|
1725 |
+
"womaniser": "womanizer",
|
1726 |
+
"womanisers": "womanizers",
|
1727 |
+
"womanises": "womanizes",
|
1728 |
+
"womanising": "womanizing",
|
1729 |
+
"woollen": "woolen",
|
1730 |
+
"woollens": "woolens",
|
1731 |
+
"woollies": "woolies",
|
1732 |
+
"woolly": "wooly",
|
1733 |
+
"worshipped": "worshiped",
|
1734 |
+
"worshipper": "worshiper",
|
1735 |
+
"worshipping": "worshiping",
|
1736 |
+
"yodelled": "yodeled",
|
1737 |
+
"yodelling": "yodeling",
|
1738 |
+
"yoghourt": "yogurt",
|
1739 |
+
"yoghourts": "yogurts",
|
1740 |
+
"yoghurt": "yogurt",
|
1741 |
+
"yoghurts": "yogurts"
|
1742 |
+
}
|
preprocessor_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61ffedcf41746c82ff94d10c5239ae98ce4b88604ece2e0ee1589f42810d82e2
|
3 |
+
size 1527847357
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ed30c25ca640905322e3425c8d59506b6fbc368cc9dc2cacc26859fee775aece
|
3 |
+
size 14583
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4c61a691abd1c8fbb03d8f2e0d6bde54557ff4a5d27d19e0dd03cd0aa8b6d77
|
3 |
+
size 14583
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45c723343ef361c66e230835d25e7d47c50994638bd1891ddff0551883b40011
|
3 |
+
size 14583
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68059fe82de21aa2b2e803ddd067717df1f53ccbcc92df3ce8a25cd03d74b069
|
3 |
+
size 14519
|
special_tokens_map.json
ADDED
@@ -0,0 +1,133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|endoftext|>",
|
4 |
+
"<|startoftranscript|>",
|
5 |
+
"<|en|>",
|
6 |
+
"<|zh|>",
|
7 |
+
"<|de|>",
|
8 |
+
"<|es|>",
|
9 |
+
"<|ru|>",
|
10 |
+
"<|ko|>",
|
11 |
+
"<|fr|>",
|
12 |
+
"<|ja|>",
|
13 |
+
"<|pt|>",
|
14 |
+
"<|tr|>",
|
15 |
+
"<|pl|>",
|
16 |
+
"<|ca|>",
|
17 |
+
"<|nl|>",
|
18 |
+
"<|ar|>",
|
19 |
+
"<|sv|>",
|
20 |
+
"<|it|>",
|
21 |
+
"<|id|>",
|
22 |
+
"<|hi|>",
|
23 |
+
"<|fi|>",
|
24 |
+
"<|vi|>",
|
25 |
+
"<|he|>",
|
26 |
+
"<|uk|>",
|
27 |
+
"<|el|>",
|
28 |
+
"<|ms|>",
|
29 |
+
"<|cs|>",
|
30 |
+
"<|ro|>",
|
31 |
+
"<|da|>",
|
32 |
+
"<|hu|>",
|
33 |
+
"<|ta|>",
|
34 |
+
"<|no|>",
|
35 |
+
"<|th|>",
|
36 |
+
"<|ur|>",
|
37 |
+
"<|hr|>",
|
38 |
+
"<|bg|>",
|
39 |
+
"<|lt|>",
|
40 |
+
"<|la|>",
|
41 |
+
"<|mi|>",
|
42 |
+
"<|ml|>",
|
43 |
+
"<|cy|>",
|
44 |
+
"<|sk|>",
|
45 |
+
"<|te|>",
|
46 |
+
"<|fa|>",
|
47 |
+
"<|lv|>",
|
48 |
+
"<|bn|>",
|
49 |
+
"<|sr|>",
|
50 |
+
"<|az|>",
|
51 |
+
"<|sl|>",
|
52 |
+
"<|kn|>",
|
53 |
+
"<|et|>",
|
54 |
+
"<|mk|>",
|
55 |
+
"<|br|>",
|
56 |
+
"<|eu|>",
|
57 |
+
"<|is|>",
|
58 |
+
"<|hy|>",
|
59 |
+
"<|ne|>",
|
60 |
+
"<|mn|>",
|
61 |
+
"<|bs|>",
|
62 |
+
"<|kk|>",
|
63 |
+
"<|sq|>",
|
64 |
+
"<|sw|>",
|
65 |
+
"<|gl|>",
|
66 |
+
"<|mr|>",
|
67 |
+
"<|pa|>",
|
68 |
+
"<|si|>",
|
69 |
+
"<|km|>",
|
70 |
+
"<|sn|>",
|
71 |
+
"<|yo|>",
|
72 |
+
"<|so|>",
|
73 |
+
"<|af|>",
|
74 |
+
"<|oc|>",
|
75 |
+
"<|ka|>",
|
76 |
+
"<|be|>",
|
77 |
+
"<|tg|>",
|
78 |
+
"<|sd|>",
|
79 |
+
"<|gu|>",
|
80 |
+
"<|am|>",
|
81 |
+
"<|yi|>",
|
82 |
+
"<|lo|>",
|
83 |
+
"<|uz|>",
|
84 |
+
"<|fo|>",
|
85 |
+
"<|ht|>",
|
86 |
+
"<|ps|>",
|
87 |
+
"<|tk|>",
|
88 |
+
"<|nn|>",
|
89 |
+
"<|mt|>",
|
90 |
+
"<|sa|>",
|
91 |
+
"<|lb|>",
|
92 |
+
"<|my|>",
|
93 |
+
"<|bo|>",
|
94 |
+
"<|tl|>",
|
95 |
+
"<|mg|>",
|
96 |
+
"<|as|>",
|
97 |
+
"<|tt|>",
|
98 |
+
"<|haw|>",
|
99 |
+
"<|ln|>",
|
100 |
+
"<|ha|>",
|
101 |
+
"<|ba|>",
|
102 |
+
"<|jw|>",
|
103 |
+
"<|su|>",
|
104 |
+
"<|translate|>",
|
105 |
+
"<|transcribe|>",
|
106 |
+
"<|startoflm|>",
|
107 |
+
"<|startofprev|>",
|
108 |
+
"<|nocaptions|>",
|
109 |
+
"<|notimestamps|>"
|
110 |
+
],
|
111 |
+
"bos_token": {
|
112 |
+
"content": "<|endoftext|>",
|
113 |
+
"lstrip": false,
|
114 |
+
"normalized": true,
|
115 |
+
"rstrip": false,
|
116 |
+
"single_word": false
|
117 |
+
},
|
118 |
+
"eos_token": {
|
119 |
+
"content": "<|endoftext|>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": true,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false
|
124 |
+
},
|
125 |
+
"pad_token": "<|endoftext|>",
|
126 |
+
"unk_token": {
|
127 |
+
"content": "<|endoftext|>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": true,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false
|
132 |
+
}
|
133 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"eos_token": {
|
13 |
+
"__type": "AddedToken",
|
14 |
+
"content": "<|endoftext|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
},
|
20 |
+
"errors": "replace",
|
21 |
+
"model_max_length": 1024,
|
22 |
+
"pad_token": null,
|
23 |
+
"processor_class": "WhisperProcessor",
|
24 |
+
"return_attention_mask": false,
|
25 |
+
"special_tokens_map_file": null,
|
26 |
+
"tokenizer_class": "WhisperTokenizer",
|
27 |
+
"unk_token": {
|
28 |
+
"__type": "AddedToken",
|
29 |
+
"content": "<|endoftext|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": true,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
}
|
35 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,4363 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 19.110790879037044,
|
3 |
+
"best_model_checkpoint": "all_lang_models/kannada_models/whisper-medium-kn_alldata_multigpu/checkpoint-6300",
|
4 |
+
"epoch": 3.876923076923077,
|
5 |
+
"global_step": 6300,
|
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": 2.69927719732729e-06,
|
13 |
+
"loss": 2.1955,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 5.138553161620956e-06,
|
19 |
+
"loss": 0.8969,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 6.1880423643986635e-06,
|
25 |
+
"loss": 0.5546,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 6.866236219818474e-06,
|
31 |
+
"loss": 0.3974,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 7.368259639277637e-06,
|
37 |
+
"loss": 0.3085,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.04,
|
42 |
+
"learning_rate": 7.767018303886829e-06,
|
43 |
+
"loss": 0.2425,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 8.09783159198187e-06,
|
49 |
+
"loss": 0.1934,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.05,
|
54 |
+
"learning_rate": 8.38051793885471e-06,
|
55 |
+
"loss": 0.1781,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.06,
|
60 |
+
"learning_rate": 8.627318328692328e-06,
|
61 |
+
"loss": 0.1588,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.06,
|
66 |
+
"learning_rate": 8.846326112594556e-06,
|
67 |
+
"loss": 0.1533,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.06,
|
72 |
+
"eval_loss": 0.146240234375,
|
73 |
+
"eval_runtime": 275.0598,
|
74 |
+
"eval_samples_per_second": 7.816,
|
75 |
+
"eval_steps_per_second": 0.062,
|
76 |
+
"eval_wer": 42.09120962956684,
|
77 |
+
"step": 100
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.07,
|
81 |
+
"learning_rate": 9.043172071622172e-06,
|
82 |
+
"loss": 0.1438,
|
83 |
+
"step": 110
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.07,
|
87 |
+
"learning_rate": 9.221932103540115e-06,
|
88 |
+
"loss": 0.1387,
|
89 |
+
"step": 120
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.08,
|
93 |
+
"learning_rate": 9.385651763182433e-06,
|
94 |
+
"loss": 0.134,
|
95 |
+
"step": 130
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.09,
|
99 |
+
"learning_rate": 9.536666713041757e-06,
|
100 |
+
"loss": 0.1283,
|
101 |
+
"step": 140
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.09,
|
105 |
+
"learning_rate": 9.676807531470036e-06,
|
106 |
+
"loss": 0.1197,
|
107 |
+
"step": 150
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.1,
|
111 |
+
"learning_rate": 9.807535603571304e-06,
|
112 |
+
"loss": 0.1194,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.1,
|
117 |
+
"learning_rate": 9.930036177107644e-06,
|
118 |
+
"loss": 0.1177,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.11,
|
123 |
+
"learning_rate": 9.998217468805706e-06,
|
124 |
+
"loss": 0.112,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.12,
|
129 |
+
"learning_rate": 9.992275698158051e-06,
|
130 |
+
"loss": 0.1105,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.12,
|
135 |
+
"learning_rate": 9.9863339275104e-06,
|
136 |
+
"loss": 0.1085,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.12,
|
141 |
+
"eval_loss": 0.11724853515625,
|
142 |
+
"eval_runtime": 268.1147,
|
143 |
+
"eval_samples_per_second": 8.019,
|
144 |
+
"eval_steps_per_second": 0.063,
|
145 |
+
"eval_wer": 34.301093498347036,
|
146 |
+
"step": 200
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.13,
|
150 |
+
"learning_rate": 9.980392156862746e-06,
|
151 |
+
"loss": 0.1065,
|
152 |
+
"step": 210
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.14,
|
156 |
+
"learning_rate": 9.974450386215093e-06,
|
157 |
+
"loss": 0.1067,
|
158 |
+
"step": 220
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.14,
|
162 |
+
"learning_rate": 9.96850861556744e-06,
|
163 |
+
"loss": 0.1016,
|
164 |
+
"step": 230
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.15,
|
168 |
+
"learning_rate": 9.962566844919787e-06,
|
169 |
+
"loss": 0.1,
|
170 |
+
"step": 240
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.15,
|
174 |
+
"learning_rate": 9.956625074272134e-06,
|
175 |
+
"loss": 0.0969,
|
176 |
+
"step": 250
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.16,
|
180 |
+
"learning_rate": 9.95068330362448e-06,
|
181 |
+
"loss": 0.0934,
|
182 |
+
"step": 260
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.17,
|
186 |
+
"learning_rate": 9.944741532976829e-06,
|
187 |
+
"loss": 0.0951,
|
188 |
+
"step": 270
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.17,
|
192 |
+
"learning_rate": 9.938799762329176e-06,
|
193 |
+
"loss": 0.0939,
|
194 |
+
"step": 280
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.18,
|
198 |
+
"learning_rate": 9.932857991681521e-06,
|
199 |
+
"loss": 0.0915,
|
200 |
+
"step": 290
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.18,
|
204 |
+
"learning_rate": 9.92691622103387e-06,
|
205 |
+
"loss": 0.0893,
|
206 |
+
"step": 300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.18,
|
210 |
+
"eval_loss": 0.10052490234375,
|
211 |
+
"eval_runtime": 269.816,
|
212 |
+
"eval_samples_per_second": 7.968,
|
213 |
+
"eval_steps_per_second": 0.063,
|
214 |
+
"eval_wer": 30.660337373908618,
|
215 |
+
"step": 300
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.19,
|
219 |
+
"learning_rate": 9.920974450386216e-06,
|
220 |
+
"loss": 0.0919,
|
221 |
+
"step": 310
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.2,
|
225 |
+
"learning_rate": 9.915032679738563e-06,
|
226 |
+
"loss": 0.0871,
|
227 |
+
"step": 320
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.2,
|
231 |
+
"learning_rate": 9.90909090909091e-06,
|
232 |
+
"loss": 0.0845,
|
233 |
+
"step": 330
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.21,
|
237 |
+
"learning_rate": 9.903149138443257e-06,
|
238 |
+
"loss": 0.0846,
|
239 |
+
"step": 340
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.22,
|
243 |
+
"learning_rate": 9.897207367795604e-06,
|
244 |
+
"loss": 0.0838,
|
245 |
+
"step": 350
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.22,
|
249 |
+
"learning_rate": 9.89126559714795e-06,
|
250 |
+
"loss": 0.0859,
|
251 |
+
"step": 360
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.23,
|
255 |
+
"learning_rate": 9.885323826500299e-06,
|
256 |
+
"loss": 0.0852,
|
257 |
+
"step": 370
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.23,
|
261 |
+
"learning_rate": 9.879382055852646e-06,
|
262 |
+
"loss": 0.0844,
|
263 |
+
"step": 380
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.24,
|
267 |
+
"learning_rate": 9.873440285204991e-06,
|
268 |
+
"loss": 0.0829,
|
269 |
+
"step": 390
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.25,
|
273 |
+
"learning_rate": 9.86749851455734e-06,
|
274 |
+
"loss": 0.0814,
|
275 |
+
"step": 400
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.25,
|
279 |
+
"eval_loss": 0.0921630859375,
|
280 |
+
"eval_runtime": 275.7387,
|
281 |
+
"eval_samples_per_second": 7.797,
|
282 |
+
"eval_steps_per_second": 0.062,
|
283 |
+
"eval_wer": 28.63016021022294,
|
284 |
+
"step": 400
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.25,
|
288 |
+
"learning_rate": 9.861556743909686e-06,
|
289 |
+
"loss": 0.0801,
|
290 |
+
"step": 410
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.26,
|
294 |
+
"learning_rate": 9.855614973262033e-06,
|
295 |
+
"loss": 0.0801,
|
296 |
+
"step": 420
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.26,
|
300 |
+
"learning_rate": 9.84967320261438e-06,
|
301 |
+
"loss": 0.0791,
|
302 |
+
"step": 430
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.27,
|
306 |
+
"learning_rate": 9.843731431966727e-06,
|
307 |
+
"loss": 0.0784,
|
308 |
+
"step": 440
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.28,
|
312 |
+
"learning_rate": 9.837789661319074e-06,
|
313 |
+
"loss": 0.0792,
|
314 |
+
"step": 450
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.28,
|
318 |
+
"learning_rate": 9.83184789067142e-06,
|
319 |
+
"loss": 0.0764,
|
320 |
+
"step": 460
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.29,
|
324 |
+
"learning_rate": 9.825906120023769e-06,
|
325 |
+
"loss": 0.079,
|
326 |
+
"step": 470
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.3,
|
330 |
+
"learning_rate": 9.819964349376116e-06,
|
331 |
+
"loss": 0.0731,
|
332 |
+
"step": 480
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.3,
|
336 |
+
"learning_rate": 9.814022578728461e-06,
|
337 |
+
"loss": 0.0754,
|
338 |
+
"step": 490
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.31,
|
342 |
+
"learning_rate": 9.80808080808081e-06,
|
343 |
+
"loss": 0.0782,
|
344 |
+
"step": 500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.31,
|
348 |
+
"eval_loss": 0.08685302734375,
|
349 |
+
"eval_runtime": 268.1182,
|
350 |
+
"eval_samples_per_second": 8.019,
|
351 |
+
"eval_steps_per_second": 0.063,
|
352 |
+
"eval_wer": 27.333220310248368,
|
353 |
+
"step": 500
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.31,
|
357 |
+
"learning_rate": 9.802139037433156e-06,
|
358 |
+
"loss": 0.0739,
|
359 |
+
"step": 510
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.32,
|
363 |
+
"learning_rate": 9.796197266785503e-06,
|
364 |
+
"loss": 0.0739,
|
365 |
+
"step": 520
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.33,
|
369 |
+
"learning_rate": 9.79025549613785e-06,
|
370 |
+
"loss": 0.073,
|
371 |
+
"step": 530
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.33,
|
375 |
+
"learning_rate": 9.784313725490197e-06,
|
376 |
+
"loss": 0.0732,
|
377 |
+
"step": 540
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.34,
|
381 |
+
"learning_rate": 9.778371954842544e-06,
|
382 |
+
"loss": 0.0737,
|
383 |
+
"step": 550
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.34,
|
387 |
+
"learning_rate": 9.77243018419489e-06,
|
388 |
+
"loss": 0.0754,
|
389 |
+
"step": 560
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.35,
|
393 |
+
"learning_rate": 9.766488413547239e-06,
|
394 |
+
"loss": 0.0712,
|
395 |
+
"step": 570
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.36,
|
399 |
+
"learning_rate": 9.760546642899586e-06,
|
400 |
+
"loss": 0.0711,
|
401 |
+
"step": 580
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.36,
|
405 |
+
"learning_rate": 9.754604872251931e-06,
|
406 |
+
"loss": 0.0722,
|
407 |
+
"step": 590
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.37,
|
411 |
+
"learning_rate": 9.74866310160428e-06,
|
412 |
+
"loss": 0.0679,
|
413 |
+
"step": 600
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.37,
|
417 |
+
"eval_loss": 0.08306884765625,
|
418 |
+
"eval_runtime": 295.0588,
|
419 |
+
"eval_samples_per_second": 7.287,
|
420 |
+
"eval_steps_per_second": 0.058,
|
421 |
+
"eval_wer": 26.570314486733913,
|
422 |
+
"step": 600
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.38,
|
426 |
+
"learning_rate": 9.742721330956626e-06,
|
427 |
+
"loss": 0.0718,
|
428 |
+
"step": 610
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.38,
|
432 |
+
"learning_rate": 9.736779560308973e-06,
|
433 |
+
"loss": 0.0685,
|
434 |
+
"step": 620
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.39,
|
438 |
+
"learning_rate": 9.73083778966132e-06,
|
439 |
+
"loss": 0.0689,
|
440 |
+
"step": 630
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.39,
|
444 |
+
"learning_rate": 9.724896019013667e-06,
|
445 |
+
"loss": 0.0712,
|
446 |
+
"step": 640
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.4,
|
450 |
+
"learning_rate": 9.718954248366014e-06,
|
451 |
+
"loss": 0.0697,
|
452 |
+
"step": 650
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.41,
|
456 |
+
"learning_rate": 9.71301247771836e-06,
|
457 |
+
"loss": 0.0705,
|
458 |
+
"step": 660
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.41,
|
462 |
+
"learning_rate": 9.707070707070709e-06,
|
463 |
+
"loss": 0.0703,
|
464 |
+
"step": 670
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.42,
|
468 |
+
"learning_rate": 9.701128936423054e-06,
|
469 |
+
"loss": 0.0698,
|
470 |
+
"step": 680
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.42,
|
474 |
+
"learning_rate": 9.695187165775401e-06,
|
475 |
+
"loss": 0.068,
|
476 |
+
"step": 690
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.43,
|
480 |
+
"learning_rate": 9.68924539512775e-06,
|
481 |
+
"loss": 0.0669,
|
482 |
+
"step": 700
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.43,
|
486 |
+
"eval_loss": 0.08062744140625,
|
487 |
+
"eval_runtime": 274.2864,
|
488 |
+
"eval_samples_per_second": 7.839,
|
489 |
+
"eval_steps_per_second": 0.062,
|
490 |
+
"eval_wer": 25.671780961261337,
|
491 |
+
"step": 700
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.44,
|
495 |
+
"learning_rate": 9.683303624480096e-06,
|
496 |
+
"loss": 0.0674,
|
497 |
+
"step": 710
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.44,
|
501 |
+
"learning_rate": 9.677361853832443e-06,
|
502 |
+
"loss": 0.0667,
|
503 |
+
"step": 720
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.45,
|
507 |
+
"learning_rate": 9.67142008318479e-06,
|
508 |
+
"loss": 0.067,
|
509 |
+
"step": 730
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.46,
|
513 |
+
"learning_rate": 9.665478312537137e-06,
|
514 |
+
"loss": 0.0648,
|
515 |
+
"step": 740
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.46,
|
519 |
+
"learning_rate": 9.659536541889484e-06,
|
520 |
+
"loss": 0.063,
|
521 |
+
"step": 750
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.47,
|
525 |
+
"learning_rate": 9.65359477124183e-06,
|
526 |
+
"loss": 0.0657,
|
527 |
+
"step": 760
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.47,
|
531 |
+
"learning_rate": 9.647653000594179e-06,
|
532 |
+
"loss": 0.065,
|
533 |
+
"step": 770
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.48,
|
537 |
+
"learning_rate": 9.641711229946524e-06,
|
538 |
+
"loss": 0.0647,
|
539 |
+
"step": 780
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.49,
|
543 |
+
"learning_rate": 9.635769459298871e-06,
|
544 |
+
"loss": 0.0657,
|
545 |
+
"step": 790
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.49,
|
549 |
+
"learning_rate": 9.62982768865122e-06,
|
550 |
+
"loss": 0.0628,
|
551 |
+
"step": 800
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.49,
|
555 |
+
"eval_loss": 0.07818603515625,
|
556 |
+
"eval_runtime": 282.4906,
|
557 |
+
"eval_samples_per_second": 7.611,
|
558 |
+
"eval_steps_per_second": 0.06,
|
559 |
+
"eval_wer": 25.298804780876495,
|
560 |
+
"step": 800
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.5,
|
564 |
+
"learning_rate": 9.623885918003566e-06,
|
565 |
+
"loss": 0.0626,
|
566 |
+
"step": 810
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.5,
|
570 |
+
"learning_rate": 9.617944147355913e-06,
|
571 |
+
"loss": 0.0647,
|
572 |
+
"step": 820
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.51,
|
576 |
+
"learning_rate": 9.61200237670826e-06,
|
577 |
+
"loss": 0.0614,
|
578 |
+
"step": 830
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.52,
|
582 |
+
"learning_rate": 9.606060606060607e-06,
|
583 |
+
"loss": 0.0623,
|
584 |
+
"step": 840
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.52,
|
588 |
+
"learning_rate": 9.600118835412954e-06,
|
589 |
+
"loss": 0.064,
|
590 |
+
"step": 850
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.53,
|
594 |
+
"learning_rate": 9.5941770647653e-06,
|
595 |
+
"loss": 0.0618,
|
596 |
+
"step": 860
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.54,
|
600 |
+
"learning_rate": 9.588235294117649e-06,
|
601 |
+
"loss": 0.0627,
|
602 |
+
"step": 870
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.54,
|
606 |
+
"learning_rate": 9.582293523469994e-06,
|
607 |
+
"loss": 0.0609,
|
608 |
+
"step": 880
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.55,
|
612 |
+
"learning_rate": 9.576351752822341e-06,
|
613 |
+
"loss": 0.0629,
|
614 |
+
"step": 890
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.55,
|
618 |
+
"learning_rate": 9.57040998217469e-06,
|
619 |
+
"loss": 0.0614,
|
620 |
+
"step": 900
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.55,
|
624 |
+
"eval_loss": 0.07489013671875,
|
625 |
+
"eval_runtime": 278.8977,
|
626 |
+
"eval_samples_per_second": 7.709,
|
627 |
+
"eval_steps_per_second": 0.061,
|
628 |
+
"eval_wer": 24.752055607357804,
|
629 |
+
"step": 900
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.56,
|
633 |
+
"learning_rate": 9.564468211527036e-06,
|
634 |
+
"loss": 0.0601,
|
635 |
+
"step": 910
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.57,
|
639 |
+
"learning_rate": 9.558526440879383e-06,
|
640 |
+
"loss": 0.0627,
|
641 |
+
"step": 920
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.57,
|
645 |
+
"learning_rate": 9.55258467023173e-06,
|
646 |
+
"loss": 0.0619,
|
647 |
+
"step": 930
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.58,
|
651 |
+
"learning_rate": 9.546642899584077e-06,
|
652 |
+
"loss": 0.0628,
|
653 |
+
"step": 940
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.58,
|
657 |
+
"learning_rate": 9.540701128936424e-06,
|
658 |
+
"loss": 0.0633,
|
659 |
+
"step": 950
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.59,
|
663 |
+
"learning_rate": 9.53475935828877e-06,
|
664 |
+
"loss": 0.0624,
|
665 |
+
"step": 960
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.6,
|
669 |
+
"learning_rate": 9.528817587641119e-06,
|
670 |
+
"loss": 0.0619,
|
671 |
+
"step": 970
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.6,
|
675 |
+
"learning_rate": 9.522875816993464e-06,
|
676 |
+
"loss": 0.0597,
|
677 |
+
"step": 980
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 0.61,
|
681 |
+
"learning_rate": 9.516934046345811e-06,
|
682 |
+
"loss": 0.0593,
|
683 |
+
"step": 990
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 0.62,
|
687 |
+
"learning_rate": 9.51099227569816e-06,
|
688 |
+
"loss": 0.0593,
|
689 |
+
"step": 1000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.62,
|
693 |
+
"eval_loss": 0.07318115234375,
|
694 |
+
"eval_runtime": 273.7867,
|
695 |
+
"eval_samples_per_second": 7.853,
|
696 |
+
"eval_steps_per_second": 0.062,
|
697 |
+
"eval_wer": 23.81961515639569,
|
698 |
+
"step": 1000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.62,
|
702 |
+
"learning_rate": 9.505050505050506e-06,
|
703 |
+
"loss": 0.0616,
|
704 |
+
"step": 1010
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.63,
|
708 |
+
"learning_rate": 9.499108734402853e-06,
|
709 |
+
"loss": 0.0611,
|
710 |
+
"step": 1020
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.63,
|
714 |
+
"learning_rate": 9.4931669637552e-06,
|
715 |
+
"loss": 0.0602,
|
716 |
+
"step": 1030
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.64,
|
720 |
+
"learning_rate": 9.487225193107547e-06,
|
721 |
+
"loss": 0.0596,
|
722 |
+
"step": 1040
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.65,
|
726 |
+
"learning_rate": 9.481283422459894e-06,
|
727 |
+
"loss": 0.0589,
|
728 |
+
"step": 1050
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.65,
|
732 |
+
"learning_rate": 9.47534165181224e-06,
|
733 |
+
"loss": 0.0596,
|
734 |
+
"step": 1060
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.66,
|
738 |
+
"learning_rate": 9.469399881164589e-06,
|
739 |
+
"loss": 0.0602,
|
740 |
+
"step": 1070
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.66,
|
744 |
+
"learning_rate": 9.463458110516934e-06,
|
745 |
+
"loss": 0.0605,
|
746 |
+
"step": 1080
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.67,
|
750 |
+
"learning_rate": 9.457516339869281e-06,
|
751 |
+
"loss": 0.0589,
|
752 |
+
"step": 1090
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.68,
|
756 |
+
"learning_rate": 9.45157456922163e-06,
|
757 |
+
"loss": 0.0597,
|
758 |
+
"step": 1100
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.68,
|
762 |
+
"eval_loss": 0.07110595703125,
|
763 |
+
"eval_runtime": 264.9557,
|
764 |
+
"eval_samples_per_second": 8.115,
|
765 |
+
"eval_steps_per_second": 0.064,
|
766 |
+
"eval_wer": 23.344918199542256,
|
767 |
+
"step": 1100
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.68,
|
771 |
+
"learning_rate": 9.445632798573976e-06,
|
772 |
+
"loss": 0.0604,
|
773 |
+
"step": 1110
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.69,
|
777 |
+
"learning_rate": 9.439691027926323e-06,
|
778 |
+
"loss": 0.0581,
|
779 |
+
"step": 1120
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.7,
|
783 |
+
"learning_rate": 9.43374925727867e-06,
|
784 |
+
"loss": 0.057,
|
785 |
+
"step": 1130
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.7,
|
789 |
+
"learning_rate": 9.427807486631017e-06,
|
790 |
+
"loss": 0.0586,
|
791 |
+
"step": 1140
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 0.71,
|
795 |
+
"learning_rate": 9.421865715983364e-06,
|
796 |
+
"loss": 0.0601,
|
797 |
+
"step": 1150
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 0.71,
|
801 |
+
"learning_rate": 9.41592394533571e-06,
|
802 |
+
"loss": 0.0581,
|
803 |
+
"step": 1160
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.72,
|
807 |
+
"learning_rate": 9.409982174688059e-06,
|
808 |
+
"loss": 0.0566,
|
809 |
+
"step": 1170
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.73,
|
813 |
+
"learning_rate": 9.404040404040404e-06,
|
814 |
+
"loss": 0.0558,
|
815 |
+
"step": 1180
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.73,
|
819 |
+
"learning_rate": 9.39809863339275e-06,
|
820 |
+
"loss": 0.0577,
|
821 |
+
"step": 1190
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.74,
|
825 |
+
"learning_rate": 9.3921568627451e-06,
|
826 |
+
"loss": 0.0565,
|
827 |
+
"step": 1200
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 0.74,
|
831 |
+
"eval_loss": 0.068603515625,
|
832 |
+
"eval_runtime": 278.2161,
|
833 |
+
"eval_samples_per_second": 7.728,
|
834 |
+
"eval_steps_per_second": 0.061,
|
835 |
+
"eval_wer": 22.891413071119775,
|
836 |
+
"step": 1200
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.74,
|
840 |
+
"learning_rate": 9.386215092097446e-06,
|
841 |
+
"loss": 0.0586,
|
842 |
+
"step": 1210
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.75,
|
846 |
+
"learning_rate": 9.380273321449793e-06,
|
847 |
+
"loss": 0.0559,
|
848 |
+
"step": 1220
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.76,
|
852 |
+
"learning_rate": 9.37433155080214e-06,
|
853 |
+
"loss": 0.0561,
|
854 |
+
"step": 1230
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.76,
|
858 |
+
"learning_rate": 9.368389780154487e-06,
|
859 |
+
"loss": 0.0566,
|
860 |
+
"step": 1240
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.77,
|
864 |
+
"learning_rate": 9.362448009506834e-06,
|
865 |
+
"loss": 0.0567,
|
866 |
+
"step": 1250
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.78,
|
870 |
+
"learning_rate": 9.35650623885918e-06,
|
871 |
+
"loss": 0.0562,
|
872 |
+
"step": 1260
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.78,
|
876 |
+
"learning_rate": 9.350564468211529e-06,
|
877 |
+
"loss": 0.056,
|
878 |
+
"step": 1270
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.79,
|
882 |
+
"learning_rate": 9.344622697563874e-06,
|
883 |
+
"loss": 0.0566,
|
884 |
+
"step": 1280
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.79,
|
888 |
+
"learning_rate": 9.33868092691622e-06,
|
889 |
+
"loss": 0.0535,
|
890 |
+
"step": 1290
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.8,
|
894 |
+
"learning_rate": 9.33273915626857e-06,
|
895 |
+
"loss": 0.0589,
|
896 |
+
"step": 1300
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.8,
|
900 |
+
"eval_loss": 0.06744384765625,
|
901 |
+
"eval_runtime": 274.5158,
|
902 |
+
"eval_samples_per_second": 7.832,
|
903 |
+
"eval_steps_per_second": 0.062,
|
904 |
+
"eval_wer": 23.005848944646946,
|
905 |
+
"step": 1300
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.81,
|
909 |
+
"learning_rate": 9.326797385620916e-06,
|
910 |
+
"loss": 0.0545,
|
911 |
+
"step": 1310
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.81,
|
915 |
+
"learning_rate": 9.320855614973263e-06,
|
916 |
+
"loss": 0.0572,
|
917 |
+
"step": 1320
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 0.82,
|
921 |
+
"learning_rate": 9.31491384432561e-06,
|
922 |
+
"loss": 0.0561,
|
923 |
+
"step": 1330
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.82,
|
927 |
+
"learning_rate": 9.308972073677957e-06,
|
928 |
+
"loss": 0.0538,
|
929 |
+
"step": 1340
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.83,
|
933 |
+
"learning_rate": 9.303030303030303e-06,
|
934 |
+
"loss": 0.0539,
|
935 |
+
"step": 1350
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.84,
|
939 |
+
"learning_rate": 9.29708853238265e-06,
|
940 |
+
"loss": 0.0543,
|
941 |
+
"step": 1360
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.84,
|
945 |
+
"learning_rate": 9.291146761734999e-06,
|
946 |
+
"loss": 0.0555,
|
947 |
+
"step": 1370
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.85,
|
951 |
+
"learning_rate": 9.285204991087344e-06,
|
952 |
+
"loss": 0.0549,
|
953 |
+
"step": 1380
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.86,
|
957 |
+
"learning_rate": 9.27926322043969e-06,
|
958 |
+
"loss": 0.053,
|
959 |
+
"step": 1390
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.86,
|
963 |
+
"learning_rate": 9.27332144979204e-06,
|
964 |
+
"loss": 0.0533,
|
965 |
+
"step": 1400
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 0.86,
|
969 |
+
"eval_loss": 0.06646728515625,
|
970 |
+
"eval_runtime": 271.2182,
|
971 |
+
"eval_samples_per_second": 7.927,
|
972 |
+
"eval_steps_per_second": 0.063,
|
973 |
+
"eval_wer": 23.183860303466982,
|
974 |
+
"step": 1400
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.87,
|
978 |
+
"learning_rate": 9.267379679144386e-06,
|
979 |
+
"loss": 0.057,
|
980 |
+
"step": 1410
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.87,
|
984 |
+
"learning_rate": 9.261437908496733e-06,
|
985 |
+
"loss": 0.0559,
|
986 |
+
"step": 1420
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.88,
|
990 |
+
"learning_rate": 9.25549613784908e-06,
|
991 |
+
"loss": 0.0564,
|
992 |
+
"step": 1430
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.89,
|
996 |
+
"learning_rate": 9.249554367201427e-06,
|
997 |
+
"loss": 0.0539,
|
998 |
+
"step": 1440
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.89,
|
1002 |
+
"learning_rate": 9.243612596553773e-06,
|
1003 |
+
"loss": 0.0546,
|
1004 |
+
"step": 1450
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.9,
|
1008 |
+
"learning_rate": 9.23767082590612e-06,
|
1009 |
+
"loss": 0.0581,
|
1010 |
+
"step": 1460
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.9,
|
1014 |
+
"learning_rate": 9.231729055258469e-06,
|
1015 |
+
"loss": 0.055,
|
1016 |
+
"step": 1470
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.91,
|
1020 |
+
"learning_rate": 9.225787284610814e-06,
|
1021 |
+
"loss": 0.0538,
|
1022 |
+
"step": 1480
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.92,
|
1026 |
+
"learning_rate": 9.21984551396316e-06,
|
1027 |
+
"loss": 0.055,
|
1028 |
+
"step": 1490
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.92,
|
1032 |
+
"learning_rate": 9.21390374331551e-06,
|
1033 |
+
"loss": 0.0532,
|
1034 |
+
"step": 1500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.92,
|
1038 |
+
"eval_loss": 0.065185546875,
|
1039 |
+
"eval_runtime": 267.4935,
|
1040 |
+
"eval_samples_per_second": 8.038,
|
1041 |
+
"eval_steps_per_second": 0.064,
|
1042 |
+
"eval_wer": 22.522675256421124,
|
1043 |
+
"step": 1500
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.93,
|
1047 |
+
"learning_rate": 9.207961972667856e-06,
|
1048 |
+
"loss": 0.0551,
|
1049 |
+
"step": 1510
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 0.94,
|
1053 |
+
"learning_rate": 9.202020202020203e-06,
|
1054 |
+
"loss": 0.0568,
|
1055 |
+
"step": 1520
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 0.94,
|
1059 |
+
"learning_rate": 9.19607843137255e-06,
|
1060 |
+
"loss": 0.0525,
|
1061 |
+
"step": 1530
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.95,
|
1065 |
+
"learning_rate": 9.190136660724897e-06,
|
1066 |
+
"loss": 0.0555,
|
1067 |
+
"step": 1540
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.95,
|
1071 |
+
"learning_rate": 9.184194890077243e-06,
|
1072 |
+
"loss": 0.054,
|
1073 |
+
"step": 1550
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.96,
|
1077 |
+
"learning_rate": 9.17825311942959e-06,
|
1078 |
+
"loss": 0.0547,
|
1079 |
+
"step": 1560
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.97,
|
1083 |
+
"learning_rate": 9.172311348781939e-06,
|
1084 |
+
"loss": 0.0529,
|
1085 |
+
"step": 1570
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 0.97,
|
1089 |
+
"learning_rate": 9.166369578134284e-06,
|
1090 |
+
"loss": 0.0523,
|
1091 |
+
"step": 1580
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.98,
|
1095 |
+
"learning_rate": 9.16042780748663e-06,
|
1096 |
+
"loss": 0.055,
|
1097 |
+
"step": 1590
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.98,
|
1101 |
+
"learning_rate": 9.15448603683898e-06,
|
1102 |
+
"loss": 0.0511,
|
1103 |
+
"step": 1600
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 0.98,
|
1107 |
+
"eval_loss": 0.0635986328125,
|
1108 |
+
"eval_runtime": 264.7815,
|
1109 |
+
"eval_samples_per_second": 8.12,
|
1110 |
+
"eval_steps_per_second": 0.064,
|
1111 |
+
"eval_wer": 22.136983978977707,
|
1112 |
+
"step": 1600
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.99,
|
1116 |
+
"learning_rate": 9.148544266191326e-06,
|
1117 |
+
"loss": 0.0516,
|
1118 |
+
"step": 1610
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 1.0,
|
1122 |
+
"learning_rate": 9.142602495543673e-06,
|
1123 |
+
"loss": 0.0528,
|
1124 |
+
"step": 1620
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 1.0,
|
1128 |
+
"learning_rate": 9.13666072489602e-06,
|
1129 |
+
"loss": 0.0481,
|
1130 |
+
"step": 1630
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 1.01,
|
1134 |
+
"learning_rate": 9.130718954248367e-06,
|
1135 |
+
"loss": 0.0452,
|
1136 |
+
"step": 1640
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 1.02,
|
1140 |
+
"learning_rate": 9.124777183600713e-06,
|
1141 |
+
"loss": 0.0465,
|
1142 |
+
"step": 1650
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.02,
|
1146 |
+
"learning_rate": 9.11883541295306e-06,
|
1147 |
+
"loss": 0.0479,
|
1148 |
+
"step": 1660
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 1.03,
|
1152 |
+
"learning_rate": 9.112893642305409e-06,
|
1153 |
+
"loss": 0.0456,
|
1154 |
+
"step": 1670
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 1.03,
|
1158 |
+
"learning_rate": 9.106951871657754e-06,
|
1159 |
+
"loss": 0.0473,
|
1160 |
+
"step": 1680
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 1.04,
|
1164 |
+
"learning_rate": 9.1010101010101e-06,
|
1165 |
+
"loss": 0.0454,
|
1166 |
+
"step": 1690
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 1.05,
|
1170 |
+
"learning_rate": 9.09506833036245e-06,
|
1171 |
+
"loss": 0.0464,
|
1172 |
+
"step": 1700
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 1.05,
|
1176 |
+
"eval_loss": 0.06341552734375,
|
1177 |
+
"eval_runtime": 274.0276,
|
1178 |
+
"eval_samples_per_second": 7.846,
|
1179 |
+
"eval_steps_per_second": 0.062,
|
1180 |
+
"eval_wer": 22.29380350936679,
|
1181 |
+
"step": 1700
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 1.05,
|
1185 |
+
"learning_rate": 9.089126559714796e-06,
|
1186 |
+
"loss": 0.0463,
|
1187 |
+
"step": 1710
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 1.06,
|
1191 |
+
"learning_rate": 9.083184789067143e-06,
|
1192 |
+
"loss": 0.0469,
|
1193 |
+
"step": 1720
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 1.06,
|
1197 |
+
"learning_rate": 9.07724301841949e-06,
|
1198 |
+
"loss": 0.0468,
|
1199 |
+
"step": 1730
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 1.07,
|
1203 |
+
"learning_rate": 9.071301247771837e-06,
|
1204 |
+
"loss": 0.0467,
|
1205 |
+
"step": 1740
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 1.08,
|
1209 |
+
"learning_rate": 9.065359477124183e-06,
|
1210 |
+
"loss": 0.0463,
|
1211 |
+
"step": 1750
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 1.08,
|
1215 |
+
"learning_rate": 9.05941770647653e-06,
|
1216 |
+
"loss": 0.0485,
|
1217 |
+
"step": 1760
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 1.09,
|
1221 |
+
"learning_rate": 9.053475935828879e-06,
|
1222 |
+
"loss": 0.0474,
|
1223 |
+
"step": 1770
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 1.1,
|
1227 |
+
"learning_rate": 9.047534165181224e-06,
|
1228 |
+
"loss": 0.0451,
|
1229 |
+
"step": 1780
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 1.1,
|
1233 |
+
"learning_rate": 9.04159239453357e-06,
|
1234 |
+
"loss": 0.046,
|
1235 |
+
"step": 1790
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 1.11,
|
1239 |
+
"learning_rate": 9.03565062388592e-06,
|
1240 |
+
"loss": 0.0449,
|
1241 |
+
"step": 1800
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 1.11,
|
1245 |
+
"eval_loss": 0.06365966796875,
|
1246 |
+
"eval_runtime": 272.4047,
|
1247 |
+
"eval_samples_per_second": 7.893,
|
1248 |
+
"eval_steps_per_second": 0.062,
|
1249 |
+
"eval_wer": 21.920827328981947,
|
1250 |
+
"step": 1800
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 1.11,
|
1254 |
+
"learning_rate": 9.029708853238266e-06,
|
1255 |
+
"loss": 0.0465,
|
1256 |
+
"step": 1810
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 1.12,
|
1260 |
+
"learning_rate": 9.023767082590613e-06,
|
1261 |
+
"loss": 0.0455,
|
1262 |
+
"step": 1820
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 1.13,
|
1266 |
+
"learning_rate": 9.01782531194296e-06,
|
1267 |
+
"loss": 0.047,
|
1268 |
+
"step": 1830
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.13,
|
1272 |
+
"learning_rate": 9.011883541295307e-06,
|
1273 |
+
"loss": 0.0466,
|
1274 |
+
"step": 1840
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.14,
|
1278 |
+
"learning_rate": 9.005941770647653e-06,
|
1279 |
+
"loss": 0.0476,
|
1280 |
+
"step": 1850
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 1.14,
|
1284 |
+
"learning_rate": 9e-06,
|
1285 |
+
"loss": 0.0441,
|
1286 |
+
"step": 1860
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 1.15,
|
1290 |
+
"learning_rate": 8.994058229352349e-06,
|
1291 |
+
"loss": 0.0464,
|
1292 |
+
"step": 1870
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 1.16,
|
1296 |
+
"learning_rate": 8.988116458704694e-06,
|
1297 |
+
"loss": 0.0465,
|
1298 |
+
"step": 1880
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 1.16,
|
1302 |
+
"learning_rate": 8.98217468805704e-06,
|
1303 |
+
"loss": 0.0461,
|
1304 |
+
"step": 1890
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.17,
|
1308 |
+
"learning_rate": 8.97623291740939e-06,
|
1309 |
+
"loss": 0.0465,
|
1310 |
+
"step": 1900
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 1.17,
|
1314 |
+
"eval_loss": 0.061981201171875,
|
1315 |
+
"eval_runtime": 270.322,
|
1316 |
+
"eval_samples_per_second": 7.953,
|
1317 |
+
"eval_steps_per_second": 0.063,
|
1318 |
+
"eval_wer": 22.20903619564296,
|
1319 |
+
"step": 1900
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 1.18,
|
1323 |
+
"learning_rate": 8.970291146761736e-06,
|
1324 |
+
"loss": 0.0449,
|
1325 |
+
"step": 1910
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 1.18,
|
1329 |
+
"learning_rate": 8.964349376114083e-06,
|
1330 |
+
"loss": 0.0451,
|
1331 |
+
"step": 1920
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 1.19,
|
1335 |
+
"learning_rate": 8.95840760546643e-06,
|
1336 |
+
"loss": 0.0474,
|
1337 |
+
"step": 1930
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 1.19,
|
1341 |
+
"learning_rate": 8.952465834818777e-06,
|
1342 |
+
"loss": 0.0468,
|
1343 |
+
"step": 1940
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 1.2,
|
1347 |
+
"learning_rate": 8.946524064171123e-06,
|
1348 |
+
"loss": 0.0432,
|
1349 |
+
"step": 1950
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 1.21,
|
1353 |
+
"learning_rate": 8.94058229352347e-06,
|
1354 |
+
"loss": 0.0478,
|
1355 |
+
"step": 1960
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 1.21,
|
1359 |
+
"learning_rate": 8.934640522875819e-06,
|
1360 |
+
"loss": 0.0449,
|
1361 |
+
"step": 1970
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 1.22,
|
1365 |
+
"learning_rate": 8.928698752228164e-06,
|
1366 |
+
"loss": 0.0458,
|
1367 |
+
"step": 1980
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 1.22,
|
1371 |
+
"learning_rate": 8.92275698158051e-06,
|
1372 |
+
"loss": 0.047,
|
1373 |
+
"step": 1990
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 1.23,
|
1377 |
+
"learning_rate": 8.91681521093286e-06,
|
1378 |
+
"loss": 0.0451,
|
1379 |
+
"step": 2000
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 1.23,
|
1383 |
+
"eval_loss": 0.0614013671875,
|
1384 |
+
"eval_runtime": 274.6038,
|
1385 |
+
"eval_samples_per_second": 7.829,
|
1386 |
+
"eval_steps_per_second": 0.062,
|
1387 |
+
"eval_wer": 21.63685682800712,
|
1388 |
+
"step": 2000
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.24,
|
1392 |
+
"learning_rate": 8.910873440285206e-06,
|
1393 |
+
"loss": 0.0469,
|
1394 |
+
"step": 2010
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 1.24,
|
1398 |
+
"learning_rate": 8.904931669637553e-06,
|
1399 |
+
"loss": 0.0458,
|
1400 |
+
"step": 2020
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 1.25,
|
1404 |
+
"learning_rate": 8.8989898989899e-06,
|
1405 |
+
"loss": 0.0477,
|
1406 |
+
"step": 2030
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.26,
|
1410 |
+
"learning_rate": 8.893048128342247e-06,
|
1411 |
+
"loss": 0.0474,
|
1412 |
+
"step": 2040
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.26,
|
1416 |
+
"learning_rate": 8.887106357694593e-06,
|
1417 |
+
"loss": 0.0466,
|
1418 |
+
"step": 2050
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 1.27,
|
1422 |
+
"learning_rate": 8.88116458704694e-06,
|
1423 |
+
"loss": 0.0457,
|
1424 |
+
"step": 2060
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 1.27,
|
1428 |
+
"learning_rate": 8.875222816399289e-06,
|
1429 |
+
"loss": 0.0456,
|
1430 |
+
"step": 2070
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 1.28,
|
1434 |
+
"learning_rate": 8.869281045751634e-06,
|
1435 |
+
"loss": 0.044,
|
1436 |
+
"step": 2080
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 1.29,
|
1440 |
+
"learning_rate": 8.86333927510398e-06,
|
1441 |
+
"loss": 0.0462,
|
1442 |
+
"step": 2090
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 1.29,
|
1446 |
+
"learning_rate": 8.85739750445633e-06,
|
1447 |
+
"loss": 0.0455,
|
1448 |
+
"step": 2100
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 1.29,
|
1452 |
+
"eval_loss": 0.061614990234375,
|
1453 |
+
"eval_runtime": 264.7511,
|
1454 |
+
"eval_samples_per_second": 8.121,
|
1455 |
+
"eval_steps_per_second": 0.064,
|
1456 |
+
"eval_wer": 21.46732220055946,
|
1457 |
+
"step": 2100
|
1458 |
+
},
|
1459 |
+
{
|
1460 |
+
"epoch": 1.3,
|
1461 |
+
"learning_rate": 8.851455733808676e-06,
|
1462 |
+
"loss": 0.0459,
|
1463 |
+
"step": 2110
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 1.3,
|
1467 |
+
"learning_rate": 8.845513963161023e-06,
|
1468 |
+
"loss": 0.0461,
|
1469 |
+
"step": 2120
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 1.31,
|
1473 |
+
"learning_rate": 8.83957219251337e-06,
|
1474 |
+
"loss": 0.046,
|
1475 |
+
"step": 2130
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 1.32,
|
1479 |
+
"learning_rate": 8.833630421865717e-06,
|
1480 |
+
"loss": 0.0455,
|
1481 |
+
"step": 2140
|
1482 |
+
},
|
1483 |
+
{
|
1484 |
+
"epoch": 1.32,
|
1485 |
+
"learning_rate": 8.827688651218063e-06,
|
1486 |
+
"loss": 0.0435,
|
1487 |
+
"step": 2150
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 1.33,
|
1491 |
+
"learning_rate": 8.82174688057041e-06,
|
1492 |
+
"loss": 0.0449,
|
1493 |
+
"step": 2160
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 1.34,
|
1497 |
+
"learning_rate": 8.815805109922759e-06,
|
1498 |
+
"loss": 0.0452,
|
1499 |
+
"step": 2170
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 1.34,
|
1503 |
+
"learning_rate": 8.809863339275104e-06,
|
1504 |
+
"loss": 0.0448,
|
1505 |
+
"step": 2180
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 1.35,
|
1509 |
+
"learning_rate": 8.803921568627452e-06,
|
1510 |
+
"loss": 0.0448,
|
1511 |
+
"step": 2190
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 1.35,
|
1515 |
+
"learning_rate": 8.7979797979798e-06,
|
1516 |
+
"loss": 0.0457,
|
1517 |
+
"step": 2200
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 1.35,
|
1521 |
+
"eval_loss": 0.06134033203125,
|
1522 |
+
"eval_runtime": 272.3621,
|
1523 |
+
"eval_samples_per_second": 7.894,
|
1524 |
+
"eval_steps_per_second": 0.062,
|
1525 |
+
"eval_wer": 21.882682037806223,
|
1526 |
+
"step": 2200
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.36,
|
1530 |
+
"learning_rate": 8.792038027332146e-06,
|
1531 |
+
"loss": 0.0461,
|
1532 |
+
"step": 2210
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.37,
|
1536 |
+
"learning_rate": 8.786096256684493e-06,
|
1537 |
+
"loss": 0.0445,
|
1538 |
+
"step": 2220
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 1.37,
|
1542 |
+
"learning_rate": 8.78015448603684e-06,
|
1543 |
+
"loss": 0.0449,
|
1544 |
+
"step": 2230
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.38,
|
1548 |
+
"learning_rate": 8.774212715389186e-06,
|
1549 |
+
"loss": 0.0458,
|
1550 |
+
"step": 2240
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 1.38,
|
1554 |
+
"learning_rate": 8.768270944741533e-06,
|
1555 |
+
"loss": 0.0439,
|
1556 |
+
"step": 2250
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.39,
|
1560 |
+
"learning_rate": 8.76232917409388e-06,
|
1561 |
+
"loss": 0.0471,
|
1562 |
+
"step": 2260
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 1.4,
|
1566 |
+
"learning_rate": 8.756387403446229e-06,
|
1567 |
+
"loss": 0.0461,
|
1568 |
+
"step": 2270
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 1.4,
|
1572 |
+
"learning_rate": 8.750445632798574e-06,
|
1573 |
+
"loss": 0.0463,
|
1574 |
+
"step": 2280
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.41,
|
1578 |
+
"learning_rate": 8.744503862150922e-06,
|
1579 |
+
"loss": 0.0457,
|
1580 |
+
"step": 2290
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 1.42,
|
1584 |
+
"learning_rate": 8.73856209150327e-06,
|
1585 |
+
"loss": 0.0457,
|
1586 |
+
"step": 2300
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 1.42,
|
1590 |
+
"eval_loss": 0.06072998046875,
|
1591 |
+
"eval_runtime": 273.0528,
|
1592 |
+
"eval_samples_per_second": 7.874,
|
1593 |
+
"eval_steps_per_second": 0.062,
|
1594 |
+
"eval_wer": 21.797914724082393,
|
1595 |
+
"step": 2300
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 1.42,
|
1599 |
+
"learning_rate": 8.732620320855616e-06,
|
1600 |
+
"loss": 0.0457,
|
1601 |
+
"step": 2310
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 1.43,
|
1605 |
+
"learning_rate": 8.726678550207963e-06,
|
1606 |
+
"loss": 0.0468,
|
1607 |
+
"step": 2320
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 1.43,
|
1611 |
+
"learning_rate": 8.72073677956031e-06,
|
1612 |
+
"loss": 0.0429,
|
1613 |
+
"step": 2330
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 1.44,
|
1617 |
+
"learning_rate": 8.714795008912656e-06,
|
1618 |
+
"loss": 0.0443,
|
1619 |
+
"step": 2340
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 1.45,
|
1623 |
+
"learning_rate": 8.708853238265003e-06,
|
1624 |
+
"loss": 0.0442,
|
1625 |
+
"step": 2350
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 1.45,
|
1629 |
+
"learning_rate": 8.70291146761735e-06,
|
1630 |
+
"loss": 0.0439,
|
1631 |
+
"step": 2360
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 1.46,
|
1635 |
+
"learning_rate": 8.696969696969699e-06,
|
1636 |
+
"loss": 0.0446,
|
1637 |
+
"step": 2370
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 1.46,
|
1641 |
+
"learning_rate": 8.691027926322044e-06,
|
1642 |
+
"loss": 0.0445,
|
1643 |
+
"step": 2380
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 1.47,
|
1647 |
+
"learning_rate": 8.685086155674392e-06,
|
1648 |
+
"loss": 0.0436,
|
1649 |
+
"step": 2390
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 1.48,
|
1653 |
+
"learning_rate": 8.679144385026739e-06,
|
1654 |
+
"loss": 0.0443,
|
1655 |
+
"step": 2400
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 1.48,
|
1659 |
+
"eval_loss": 0.059722900390625,
|
1660 |
+
"eval_runtime": 270.0699,
|
1661 |
+
"eval_samples_per_second": 7.961,
|
1662 |
+
"eval_steps_per_second": 0.063,
|
1663 |
+
"eval_wer": 21.081630923116045,
|
1664 |
+
"step": 2400
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 1.48,
|
1668 |
+
"learning_rate": 8.673202614379086e-06,
|
1669 |
+
"loss": 0.0454,
|
1670 |
+
"step": 2410
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 1.49,
|
1674 |
+
"learning_rate": 8.667260843731433e-06,
|
1675 |
+
"loss": 0.0447,
|
1676 |
+
"step": 2420
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 1.5,
|
1680 |
+
"learning_rate": 8.66131907308378e-06,
|
1681 |
+
"loss": 0.0448,
|
1682 |
+
"step": 2430
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 1.5,
|
1686 |
+
"learning_rate": 8.655377302436126e-06,
|
1687 |
+
"loss": 0.0434,
|
1688 |
+
"step": 2440
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 1.51,
|
1692 |
+
"learning_rate": 8.649435531788473e-06,
|
1693 |
+
"loss": 0.0446,
|
1694 |
+
"step": 2450
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 1.51,
|
1698 |
+
"learning_rate": 8.64349376114082e-06,
|
1699 |
+
"loss": 0.0454,
|
1700 |
+
"step": 2460
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.52,
|
1704 |
+
"learning_rate": 8.637551990493169e-06,
|
1705 |
+
"loss": 0.0449,
|
1706 |
+
"step": 2470
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 1.53,
|
1710 |
+
"learning_rate": 8.631610219845514e-06,
|
1711 |
+
"loss": 0.0451,
|
1712 |
+
"step": 2480
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 1.53,
|
1716 |
+
"learning_rate": 8.625668449197862e-06,
|
1717 |
+
"loss": 0.045,
|
1718 |
+
"step": 2490
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 1.54,
|
1722 |
+
"learning_rate": 8.619726678550209e-06,
|
1723 |
+
"loss": 0.044,
|
1724 |
+
"step": 2500
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.54,
|
1728 |
+
"eval_loss": 0.05938720703125,
|
1729 |
+
"eval_runtime": 279.6518,
|
1730 |
+
"eval_samples_per_second": 7.688,
|
1731 |
+
"eval_steps_per_second": 0.061,
|
1732 |
+
"eval_wer": 21.200305162329407,
|
1733 |
+
"step": 2500
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 1.54,
|
1737 |
+
"learning_rate": 8.613784907902556e-06,
|
1738 |
+
"loss": 0.0438,
|
1739 |
+
"step": 2510
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 1.55,
|
1743 |
+
"learning_rate": 8.607843137254903e-06,
|
1744 |
+
"loss": 0.0425,
|
1745 |
+
"step": 2520
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 1.56,
|
1749 |
+
"learning_rate": 8.60190136660725e-06,
|
1750 |
+
"loss": 0.0433,
|
1751 |
+
"step": 2530
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 1.56,
|
1755 |
+
"learning_rate": 8.595959595959596e-06,
|
1756 |
+
"loss": 0.0456,
|
1757 |
+
"step": 2540
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 1.57,
|
1761 |
+
"learning_rate": 8.590017825311943e-06,
|
1762 |
+
"loss": 0.0459,
|
1763 |
+
"step": 2550
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 1.58,
|
1767 |
+
"learning_rate": 8.58407605466429e-06,
|
1768 |
+
"loss": 0.0436,
|
1769 |
+
"step": 2560
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 1.58,
|
1773 |
+
"learning_rate": 8.578134284016639e-06,
|
1774 |
+
"loss": 0.0434,
|
1775 |
+
"step": 2570
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 1.59,
|
1779 |
+
"learning_rate": 8.572192513368984e-06,
|
1780 |
+
"loss": 0.0424,
|
1781 |
+
"step": 2580
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 1.59,
|
1785 |
+
"learning_rate": 8.566250742721332e-06,
|
1786 |
+
"loss": 0.0446,
|
1787 |
+
"step": 2590
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 1.6,
|
1791 |
+
"learning_rate": 8.560308972073679e-06,
|
1792 |
+
"loss": 0.0425,
|
1793 |
+
"step": 2600
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 1.6,
|
1797 |
+
"eval_loss": 0.057830810546875,
|
1798 |
+
"eval_runtime": 265.7037,
|
1799 |
+
"eval_samples_per_second": 8.092,
|
1800 |
+
"eval_steps_per_second": 0.064,
|
1801 |
+
"eval_wer": 21.263880647622276,
|
1802 |
+
"step": 2600
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.61,
|
1806 |
+
"learning_rate": 8.554367201426026e-06,
|
1807 |
+
"loss": 0.0417,
|
1808 |
+
"step": 2610
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.61,
|
1812 |
+
"learning_rate": 8.548425430778373e-06,
|
1813 |
+
"loss": 0.0448,
|
1814 |
+
"step": 2620
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 1.62,
|
1818 |
+
"learning_rate": 8.54248366013072e-06,
|
1819 |
+
"loss": 0.0425,
|
1820 |
+
"step": 2630
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.62,
|
1824 |
+
"learning_rate": 8.536541889483066e-06,
|
1825 |
+
"loss": 0.0431,
|
1826 |
+
"step": 2640
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 1.63,
|
1830 |
+
"learning_rate": 8.530600118835413e-06,
|
1831 |
+
"loss": 0.0452,
|
1832 |
+
"step": 2650
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 1.64,
|
1836 |
+
"learning_rate": 8.524658348187762e-06,
|
1837 |
+
"loss": 0.0427,
|
1838 |
+
"step": 2660
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 1.64,
|
1842 |
+
"learning_rate": 8.518716577540109e-06,
|
1843 |
+
"loss": 0.0456,
|
1844 |
+
"step": 2670
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.65,
|
1848 |
+
"learning_rate": 8.512774806892454e-06,
|
1849 |
+
"loss": 0.0454,
|
1850 |
+
"step": 2680
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.66,
|
1854 |
+
"learning_rate": 8.506833036244802e-06,
|
1855 |
+
"loss": 0.0429,
|
1856 |
+
"step": 2690
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 1.66,
|
1860 |
+
"learning_rate": 8.500891265597149e-06,
|
1861 |
+
"loss": 0.0448,
|
1862 |
+
"step": 2700
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.66,
|
1866 |
+
"eval_loss": 0.05841064453125,
|
1867 |
+
"eval_runtime": 276.4184,
|
1868 |
+
"eval_samples_per_second": 7.778,
|
1869 |
+
"eval_steps_per_second": 0.062,
|
1870 |
+
"eval_wer": 20.848520810375522,
|
1871 |
+
"step": 2700
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.67,
|
1875 |
+
"learning_rate": 8.494949494949496e-06,
|
1876 |
+
"loss": 0.0447,
|
1877 |
+
"step": 2710
|
1878 |
+
},
|
1879 |
+
{
|
1880 |
+
"epoch": 1.67,
|
1881 |
+
"learning_rate": 8.489007724301843e-06,
|
1882 |
+
"loss": 0.0451,
|
1883 |
+
"step": 2720
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 1.68,
|
1887 |
+
"learning_rate": 8.48306595365419e-06,
|
1888 |
+
"loss": 0.0433,
|
1889 |
+
"step": 2730
|
1890 |
+
},
|
1891 |
+
{
|
1892 |
+
"epoch": 1.69,
|
1893 |
+
"learning_rate": 8.477124183006536e-06,
|
1894 |
+
"loss": 0.0449,
|
1895 |
+
"step": 2740
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 1.69,
|
1899 |
+
"learning_rate": 8.471182412358883e-06,
|
1900 |
+
"loss": 0.043,
|
1901 |
+
"step": 2750
|
1902 |
+
},
|
1903 |
+
{
|
1904 |
+
"epoch": 1.7,
|
1905 |
+
"learning_rate": 8.465240641711232e-06,
|
1906 |
+
"loss": 0.0445,
|
1907 |
+
"step": 2760
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 1.7,
|
1911 |
+
"learning_rate": 8.459298871063579e-06,
|
1912 |
+
"loss": 0.0427,
|
1913 |
+
"step": 2770
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.71,
|
1917 |
+
"learning_rate": 8.453357100415924e-06,
|
1918 |
+
"loss": 0.0438,
|
1919 |
+
"step": 2780
|
1920 |
+
},
|
1921 |
+
{
|
1922 |
+
"epoch": 1.72,
|
1923 |
+
"learning_rate": 8.447415329768272e-06,
|
1924 |
+
"loss": 0.0448,
|
1925 |
+
"step": 2790
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 1.72,
|
1929 |
+
"learning_rate": 8.441473559120619e-06,
|
1930 |
+
"loss": 0.0432,
|
1931 |
+
"step": 2800
|
1932 |
+
},
|
1933 |
+
{
|
1934 |
+
"epoch": 1.72,
|
1935 |
+
"eval_loss": 0.0570068359375,
|
1936 |
+
"eval_runtime": 268.2611,
|
1937 |
+
"eval_samples_per_second": 8.015,
|
1938 |
+
"eval_steps_per_second": 0.063,
|
1939 |
+
"eval_wer": 20.289056539798253,
|
1940 |
+
"step": 2800
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 1.73,
|
1944 |
+
"learning_rate": 8.435531788472966e-06,
|
1945 |
+
"loss": 0.0443,
|
1946 |
+
"step": 2810
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 1.74,
|
1950 |
+
"learning_rate": 8.429590017825313e-06,
|
1951 |
+
"loss": 0.0436,
|
1952 |
+
"step": 2820
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 1.74,
|
1956 |
+
"learning_rate": 8.42364824717766e-06,
|
1957 |
+
"loss": 0.0443,
|
1958 |
+
"step": 2830
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 1.75,
|
1962 |
+
"learning_rate": 8.417706476530006e-06,
|
1963 |
+
"loss": 0.0431,
|
1964 |
+
"step": 2840
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 1.75,
|
1968 |
+
"learning_rate": 8.411764705882353e-06,
|
1969 |
+
"loss": 0.0434,
|
1970 |
+
"step": 2850
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.76,
|
1974 |
+
"learning_rate": 8.405822935234702e-06,
|
1975 |
+
"loss": 0.0452,
|
1976 |
+
"step": 2860
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.77,
|
1980 |
+
"learning_rate": 8.399881164587049e-06,
|
1981 |
+
"loss": 0.0444,
|
1982 |
+
"step": 2870
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 1.77,
|
1986 |
+
"learning_rate": 8.393939393939394e-06,
|
1987 |
+
"loss": 0.0425,
|
1988 |
+
"step": 2880
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 1.78,
|
1992 |
+
"learning_rate": 8.387997623291742e-06,
|
1993 |
+
"loss": 0.0428,
|
1994 |
+
"step": 2890
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 1.78,
|
1998 |
+
"learning_rate": 8.382055852644089e-06,
|
1999 |
+
"loss": 0.0432,
|
2000 |
+
"step": 2900
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 1.78,
|
2004 |
+
"eval_loss": 0.05816650390625,
|
2005 |
+
"eval_runtime": 265.2446,
|
2006 |
+
"eval_samples_per_second": 8.106,
|
2007 |
+
"eval_steps_per_second": 0.064,
|
2008 |
+
"eval_wer": 21.18335169958464,
|
2009 |
+
"step": 2900
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 1.79,
|
2013 |
+
"learning_rate": 8.376114081996436e-06,
|
2014 |
+
"loss": 0.0425,
|
2015 |
+
"step": 2910
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 1.8,
|
2019 |
+
"learning_rate": 8.370172311348783e-06,
|
2020 |
+
"loss": 0.0429,
|
2021 |
+
"step": 2920
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 1.8,
|
2025 |
+
"learning_rate": 8.36423054070113e-06,
|
2026 |
+
"loss": 0.0428,
|
2027 |
+
"step": 2930
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 1.81,
|
2031 |
+
"learning_rate": 8.358288770053476e-06,
|
2032 |
+
"loss": 0.0437,
|
2033 |
+
"step": 2940
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.82,
|
2037 |
+
"learning_rate": 8.352346999405823e-06,
|
2038 |
+
"loss": 0.0441,
|
2039 |
+
"step": 2950
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 1.82,
|
2043 |
+
"learning_rate": 8.346405228758172e-06,
|
2044 |
+
"loss": 0.0439,
|
2045 |
+
"step": 2960
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 1.83,
|
2049 |
+
"learning_rate": 8.340463458110519e-06,
|
2050 |
+
"loss": 0.0438,
|
2051 |
+
"step": 2970
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 1.83,
|
2055 |
+
"learning_rate": 8.334521687462864e-06,
|
2056 |
+
"loss": 0.0419,
|
2057 |
+
"step": 2980
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 1.84,
|
2061 |
+
"learning_rate": 8.328579916815212e-06,
|
2062 |
+
"loss": 0.0418,
|
2063 |
+
"step": 2990
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 1.85,
|
2067 |
+
"learning_rate": 8.322638146167559e-06,
|
2068 |
+
"loss": 0.0441,
|
2069 |
+
"step": 3000
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 1.85,
|
2073 |
+
"eval_loss": 0.056884765625,
|
2074 |
+
"eval_runtime": 260.1925,
|
2075 |
+
"eval_samples_per_second": 8.263,
|
2076 |
+
"eval_steps_per_second": 0.065,
|
2077 |
+
"eval_wer": 20.369585487835888,
|
2078 |
+
"step": 3000
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 1.85,
|
2082 |
+
"learning_rate": 8.316696375519906e-06,
|
2083 |
+
"loss": 0.0431,
|
2084 |
+
"step": 3010
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 1.86,
|
2088 |
+
"learning_rate": 8.310754604872253e-06,
|
2089 |
+
"loss": 0.0421,
|
2090 |
+
"step": 3020
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 1.86,
|
2094 |
+
"learning_rate": 8.3048128342246e-06,
|
2095 |
+
"loss": 0.0424,
|
2096 |
+
"step": 3030
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.87,
|
2100 |
+
"learning_rate": 8.298871063576946e-06,
|
2101 |
+
"loss": 0.043,
|
2102 |
+
"step": 3040
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.88,
|
2106 |
+
"learning_rate": 8.292929292929293e-06,
|
2107 |
+
"loss": 0.0425,
|
2108 |
+
"step": 3050
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 1.88,
|
2112 |
+
"learning_rate": 8.286987522281642e-06,
|
2113 |
+
"loss": 0.0429,
|
2114 |
+
"step": 3060
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 1.89,
|
2118 |
+
"learning_rate": 8.281045751633987e-06,
|
2119 |
+
"loss": 0.043,
|
2120 |
+
"step": 3070
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 1.9,
|
2124 |
+
"learning_rate": 8.275103980986334e-06,
|
2125 |
+
"loss": 0.0421,
|
2126 |
+
"step": 3080
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 1.9,
|
2130 |
+
"learning_rate": 8.269162210338682e-06,
|
2131 |
+
"loss": 0.0411,
|
2132 |
+
"step": 3090
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 1.91,
|
2136 |
+
"learning_rate": 8.263220439691029e-06,
|
2137 |
+
"loss": 0.0423,
|
2138 |
+
"step": 3100
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.91,
|
2142 |
+
"eval_loss": 0.05633544921875,
|
2143 |
+
"eval_runtime": 272.288,
|
2144 |
+
"eval_samples_per_second": 7.896,
|
2145 |
+
"eval_steps_per_second": 0.062,
|
2146 |
+
"eval_wer": 20.479782995676867,
|
2147 |
+
"step": 3100
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 1.91,
|
2151 |
+
"learning_rate": 8.257278669043376e-06,
|
2152 |
+
"loss": 0.0434,
|
2153 |
+
"step": 3110
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 1.92,
|
2157 |
+
"learning_rate": 8.251336898395723e-06,
|
2158 |
+
"loss": 0.0423,
|
2159 |
+
"step": 3120
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 1.93,
|
2163 |
+
"learning_rate": 8.24539512774807e-06,
|
2164 |
+
"loss": 0.0434,
|
2165 |
+
"step": 3130
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 1.93,
|
2169 |
+
"learning_rate": 8.239453357100416e-06,
|
2170 |
+
"loss": 0.0426,
|
2171 |
+
"step": 3140
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 1.94,
|
2175 |
+
"learning_rate": 8.233511586452763e-06,
|
2176 |
+
"loss": 0.0417,
|
2177 |
+
"step": 3150
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 1.94,
|
2181 |
+
"learning_rate": 8.227569815805112e-06,
|
2182 |
+
"loss": 0.043,
|
2183 |
+
"step": 3160
|
2184 |
+
},
|
2185 |
+
{
|
2186 |
+
"epoch": 1.95,
|
2187 |
+
"learning_rate": 8.221628045157457e-06,
|
2188 |
+
"loss": 0.0424,
|
2189 |
+
"step": 3170
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 1.96,
|
2193 |
+
"learning_rate": 8.215686274509804e-06,
|
2194 |
+
"loss": 0.0431,
|
2195 |
+
"step": 3180
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 1.96,
|
2199 |
+
"learning_rate": 8.209744503862152e-06,
|
2200 |
+
"loss": 0.0412,
|
2201 |
+
"step": 3190
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 1.97,
|
2205 |
+
"learning_rate": 8.203802733214499e-06,
|
2206 |
+
"loss": 0.0424,
|
2207 |
+
"step": 3200
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 1.97,
|
2211 |
+
"eval_loss": 0.05596923828125,
|
2212 |
+
"eval_runtime": 273.3037,
|
2213 |
+
"eval_samples_per_second": 7.867,
|
2214 |
+
"eval_steps_per_second": 0.062,
|
2215 |
+
"eval_wer": 19.96694074764771,
|
2216 |
+
"step": 3200
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 1.98,
|
2220 |
+
"learning_rate": 8.197860962566846e-06,
|
2221 |
+
"loss": 0.0412,
|
2222 |
+
"step": 3210
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.98,
|
2226 |
+
"learning_rate": 8.191919191919193e-06,
|
2227 |
+
"loss": 0.0414,
|
2228 |
+
"step": 3220
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 1.99,
|
2232 |
+
"learning_rate": 8.18597742127154e-06,
|
2233 |
+
"loss": 0.044,
|
2234 |
+
"step": 3230
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 1.99,
|
2238 |
+
"learning_rate": 8.180035650623886e-06,
|
2239 |
+
"loss": 0.0431,
|
2240 |
+
"step": 3240
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 2.0,
|
2244 |
+
"learning_rate": 8.174093879976233e-06,
|
2245 |
+
"loss": 0.044,
|
2246 |
+
"step": 3250
|
2247 |
+
},
|
2248 |
+
{
|
2249 |
+
"epoch": 2.01,
|
2250 |
+
"learning_rate": 8.168152109328582e-06,
|
2251 |
+
"loss": 0.0361,
|
2252 |
+
"step": 3260
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 2.01,
|
2256 |
+
"learning_rate": 8.162210338680927e-06,
|
2257 |
+
"loss": 0.0353,
|
2258 |
+
"step": 3270
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 2.02,
|
2262 |
+
"learning_rate": 8.156268568033274e-06,
|
2263 |
+
"loss": 0.0341,
|
2264 |
+
"step": 3280
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 2.02,
|
2268 |
+
"learning_rate": 8.150326797385622e-06,
|
2269 |
+
"loss": 0.0362,
|
2270 |
+
"step": 3290
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 2.03,
|
2274 |
+
"learning_rate": 8.144385026737969e-06,
|
2275 |
+
"loss": 0.0351,
|
2276 |
+
"step": 3300
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 2.03,
|
2280 |
+
"eval_loss": 0.05633544921875,
|
2281 |
+
"eval_runtime": 279.325,
|
2282 |
+
"eval_samples_per_second": 7.697,
|
2283 |
+
"eval_steps_per_second": 0.061,
|
2284 |
+
"eval_wer": 20.136475375095365,
|
2285 |
+
"step": 3300
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 2.04,
|
2289 |
+
"learning_rate": 8.138443256090316e-06,
|
2290 |
+
"loss": 0.035,
|
2291 |
+
"step": 3310
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 2.04,
|
2295 |
+
"learning_rate": 8.132501485442663e-06,
|
2296 |
+
"loss": 0.0341,
|
2297 |
+
"step": 3320
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 2.05,
|
2301 |
+
"learning_rate": 8.12655971479501e-06,
|
2302 |
+
"loss": 0.0372,
|
2303 |
+
"step": 3330
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 2.06,
|
2307 |
+
"learning_rate": 8.120617944147356e-06,
|
2308 |
+
"loss": 0.0374,
|
2309 |
+
"step": 3340
|
2310 |
+
},
|
2311 |
+
{
|
2312 |
+
"epoch": 2.06,
|
2313 |
+
"learning_rate": 8.114676173499703e-06,
|
2314 |
+
"loss": 0.0341,
|
2315 |
+
"step": 3350
|
2316 |
+
},
|
2317 |
+
{
|
2318 |
+
"epoch": 2.07,
|
2319 |
+
"learning_rate": 8.108734402852052e-06,
|
2320 |
+
"loss": 0.035,
|
2321 |
+
"step": 3360
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 2.07,
|
2325 |
+
"learning_rate": 8.102792632204397e-06,
|
2326 |
+
"loss": 0.0366,
|
2327 |
+
"step": 3370
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 2.08,
|
2331 |
+
"learning_rate": 8.096850861556744e-06,
|
2332 |
+
"loss": 0.0358,
|
2333 |
+
"step": 3380
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 2.09,
|
2337 |
+
"learning_rate": 8.090909090909092e-06,
|
2338 |
+
"loss": 0.0341,
|
2339 |
+
"step": 3390
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 2.09,
|
2343 |
+
"learning_rate": 8.084967320261439e-06,
|
2344 |
+
"loss": 0.0356,
|
2345 |
+
"step": 3400
|
2346 |
+
},
|
2347 |
+
{
|
2348 |
+
"epoch": 2.09,
|
2349 |
+
"eval_loss": 0.056732177734375,
|
2350 |
+
"eval_runtime": 271.2326,
|
2351 |
+
"eval_samples_per_second": 7.927,
|
2352 |
+
"eval_steps_per_second": 0.063,
|
2353 |
+
"eval_wer": 19.509197253539035,
|
2354 |
+
"step": 3400
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 2.1,
|
2358 |
+
"learning_rate": 8.079025549613786e-06,
|
2359 |
+
"loss": 0.035,
|
2360 |
+
"step": 3410
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 2.1,
|
2364 |
+
"learning_rate": 8.073083778966133e-06,
|
2365 |
+
"loss": 0.0375,
|
2366 |
+
"step": 3420
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 2.11,
|
2370 |
+
"learning_rate": 8.06714200831848e-06,
|
2371 |
+
"loss": 0.0371,
|
2372 |
+
"step": 3430
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 2.12,
|
2376 |
+
"learning_rate": 8.061200237670826e-06,
|
2377 |
+
"loss": 0.0374,
|
2378 |
+
"step": 3440
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 2.12,
|
2382 |
+
"learning_rate": 8.055258467023173e-06,
|
2383 |
+
"loss": 0.036,
|
2384 |
+
"step": 3450
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 2.13,
|
2388 |
+
"learning_rate": 8.049316696375522e-06,
|
2389 |
+
"loss": 0.0366,
|
2390 |
+
"step": 3460
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 2.14,
|
2394 |
+
"learning_rate": 8.043374925727867e-06,
|
2395 |
+
"loss": 0.0348,
|
2396 |
+
"step": 3470
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 2.14,
|
2400 |
+
"learning_rate": 8.037433155080214e-06,
|
2401 |
+
"loss": 0.0368,
|
2402 |
+
"step": 3480
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 2.15,
|
2406 |
+
"learning_rate": 8.031491384432562e-06,
|
2407 |
+
"loss": 0.0362,
|
2408 |
+
"step": 3490
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 2.15,
|
2412 |
+
"learning_rate": 8.025549613784909e-06,
|
2413 |
+
"loss": 0.0362,
|
2414 |
+
"step": 3500
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 2.15,
|
2418 |
+
"eval_loss": 0.056610107421875,
|
2419 |
+
"eval_runtime": 270.5291,
|
2420 |
+
"eval_samples_per_second": 7.947,
|
2421 |
+
"eval_steps_per_second": 0.063,
|
2422 |
+
"eval_wer": 19.780452657455285,
|
2423 |
+
"step": 3500
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 2.16,
|
2427 |
+
"learning_rate": 8.019607843137256e-06,
|
2428 |
+
"loss": 0.035,
|
2429 |
+
"step": 3510
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 2.17,
|
2433 |
+
"learning_rate": 8.013666072489603e-06,
|
2434 |
+
"loss": 0.0367,
|
2435 |
+
"step": 3520
|
2436 |
+
},
|
2437 |
+
{
|
2438 |
+
"epoch": 2.17,
|
2439 |
+
"learning_rate": 8.00772430184195e-06,
|
2440 |
+
"loss": 0.0359,
|
2441 |
+
"step": 3530
|
2442 |
+
},
|
2443 |
+
{
|
2444 |
+
"epoch": 2.18,
|
2445 |
+
"learning_rate": 8.001782531194296e-06,
|
2446 |
+
"loss": 0.0387,
|
2447 |
+
"step": 3540
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 2.18,
|
2451 |
+
"learning_rate": 7.995840760546643e-06,
|
2452 |
+
"loss": 0.0368,
|
2453 |
+
"step": 3550
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 2.19,
|
2457 |
+
"learning_rate": 7.989898989898992e-06,
|
2458 |
+
"loss": 0.0351,
|
2459 |
+
"step": 3560
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 2.2,
|
2463 |
+
"learning_rate": 7.983957219251337e-06,
|
2464 |
+
"loss": 0.0372,
|
2465 |
+
"step": 3570
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 2.2,
|
2469 |
+
"learning_rate": 7.978015448603684e-06,
|
2470 |
+
"loss": 0.0353,
|
2471 |
+
"step": 3580
|
2472 |
+
},
|
2473 |
+
{
|
2474 |
+
"epoch": 2.21,
|
2475 |
+
"learning_rate": 7.972073677956032e-06,
|
2476 |
+
"loss": 0.0358,
|
2477 |
+
"step": 3590
|
2478 |
+
},
|
2479 |
+
{
|
2480 |
+
"epoch": 2.22,
|
2481 |
+
"learning_rate": 7.966131907308379e-06,
|
2482 |
+
"loss": 0.0349,
|
2483 |
+
"step": 3600
|
2484 |
+
},
|
2485 |
+
{
|
2486 |
+
"epoch": 2.22,
|
2487 |
+
"eval_loss": 0.057464599609375,
|
2488 |
+
"eval_runtime": 266.5992,
|
2489 |
+
"eval_samples_per_second": 8.065,
|
2490 |
+
"eval_steps_per_second": 0.064,
|
2491 |
+
"eval_wer": 20.01356277019581,
|
2492 |
+
"step": 3600
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 2.22,
|
2496 |
+
"learning_rate": 7.960190136660726e-06,
|
2497 |
+
"loss": 0.0364,
|
2498 |
+
"step": 3610
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 2.23,
|
2502 |
+
"learning_rate": 7.954248366013073e-06,
|
2503 |
+
"loss": 0.0362,
|
2504 |
+
"step": 3620
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 2.23,
|
2508 |
+
"learning_rate": 7.94830659536542e-06,
|
2509 |
+
"loss": 0.035,
|
2510 |
+
"step": 3630
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 2.24,
|
2514 |
+
"learning_rate": 7.942364824717766e-06,
|
2515 |
+
"loss": 0.0365,
|
2516 |
+
"step": 3640
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 2.25,
|
2520 |
+
"learning_rate": 7.936423054070113e-06,
|
2521 |
+
"loss": 0.0355,
|
2522 |
+
"step": 3650
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 2.25,
|
2526 |
+
"learning_rate": 7.930481283422462e-06,
|
2527 |
+
"loss": 0.0358,
|
2528 |
+
"step": 3660
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 2.26,
|
2532 |
+
"learning_rate": 7.924539512774807e-06,
|
2533 |
+
"loss": 0.036,
|
2534 |
+
"step": 3670
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 2.26,
|
2538 |
+
"learning_rate": 7.918597742127154e-06,
|
2539 |
+
"loss": 0.0346,
|
2540 |
+
"step": 3680
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 2.27,
|
2544 |
+
"learning_rate": 7.912655971479502e-06,
|
2545 |
+
"loss": 0.0361,
|
2546 |
+
"step": 3690
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 2.28,
|
2550 |
+
"learning_rate": 7.906714200831849e-06,
|
2551 |
+
"loss": 0.0366,
|
2552 |
+
"step": 3700
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 2.28,
|
2556 |
+
"eval_loss": 0.056549072265625,
|
2557 |
+
"eval_runtime": 275.4886,
|
2558 |
+
"eval_samples_per_second": 7.804,
|
2559 |
+
"eval_steps_per_second": 0.062,
|
2560 |
+
"eval_wer": 20.18733576332966,
|
2561 |
+
"step": 3700
|
2562 |
+
},
|
2563 |
+
{
|
2564 |
+
"epoch": 2.28,
|
2565 |
+
"learning_rate": 7.900772430184196e-06,
|
2566 |
+
"loss": 0.0362,
|
2567 |
+
"step": 3710
|
2568 |
+
},
|
2569 |
+
{
|
2570 |
+
"epoch": 2.29,
|
2571 |
+
"learning_rate": 7.894830659536543e-06,
|
2572 |
+
"loss": 0.0368,
|
2573 |
+
"step": 3720
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 2.3,
|
2577 |
+
"learning_rate": 7.88888888888889e-06,
|
2578 |
+
"loss": 0.0354,
|
2579 |
+
"step": 3730
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 2.3,
|
2583 |
+
"learning_rate": 7.882947118241236e-06,
|
2584 |
+
"loss": 0.0352,
|
2585 |
+
"step": 3740
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 2.31,
|
2589 |
+
"learning_rate": 7.877005347593583e-06,
|
2590 |
+
"loss": 0.0359,
|
2591 |
+
"step": 3750
|
2592 |
+
},
|
2593 |
+
{
|
2594 |
+
"epoch": 2.31,
|
2595 |
+
"learning_rate": 7.871063576945932e-06,
|
2596 |
+
"loss": 0.0354,
|
2597 |
+
"step": 3760
|
2598 |
+
},
|
2599 |
+
{
|
2600 |
+
"epoch": 2.32,
|
2601 |
+
"learning_rate": 7.865121806298277e-06,
|
2602 |
+
"loss": 0.0365,
|
2603 |
+
"step": 3770
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 2.33,
|
2607 |
+
"learning_rate": 7.859180035650624e-06,
|
2608 |
+
"loss": 0.0349,
|
2609 |
+
"step": 3780
|
2610 |
+
},
|
2611 |
+
{
|
2612 |
+
"epoch": 2.33,
|
2613 |
+
"learning_rate": 7.853238265002972e-06,
|
2614 |
+
"loss": 0.0363,
|
2615 |
+
"step": 3790
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 2.34,
|
2619 |
+
"learning_rate": 7.847296494355319e-06,
|
2620 |
+
"loss": 0.0361,
|
2621 |
+
"step": 3800
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 2.34,
|
2625 |
+
"eval_loss": 0.057403564453125,
|
2626 |
+
"eval_runtime": 266.321,
|
2627 |
+
"eval_samples_per_second": 8.073,
|
2628 |
+
"eval_steps_per_second": 0.064,
|
2629 |
+
"eval_wer": 19.835551411375775,
|
2630 |
+
"step": 3800
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 2.34,
|
2634 |
+
"learning_rate": 7.841354723707666e-06,
|
2635 |
+
"loss": 0.0369,
|
2636 |
+
"step": 3810
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 2.35,
|
2640 |
+
"learning_rate": 7.835412953060013e-06,
|
2641 |
+
"loss": 0.035,
|
2642 |
+
"step": 3820
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 2.36,
|
2646 |
+
"learning_rate": 7.82947118241236e-06,
|
2647 |
+
"loss": 0.0362,
|
2648 |
+
"step": 3830
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 2.36,
|
2652 |
+
"learning_rate": 7.823529411764706e-06,
|
2653 |
+
"loss": 0.0354,
|
2654 |
+
"step": 3840
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 2.37,
|
2658 |
+
"learning_rate": 7.817587641117053e-06,
|
2659 |
+
"loss": 0.0365,
|
2660 |
+
"step": 3850
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 2.38,
|
2664 |
+
"learning_rate": 7.811645870469402e-06,
|
2665 |
+
"loss": 0.0371,
|
2666 |
+
"step": 3860
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 2.38,
|
2670 |
+
"learning_rate": 7.805704099821747e-06,
|
2671 |
+
"loss": 0.0365,
|
2672 |
+
"step": 3870
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 2.39,
|
2676 |
+
"learning_rate": 7.799762329174094e-06,
|
2677 |
+
"loss": 0.036,
|
2678 |
+
"step": 3880
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 2.39,
|
2682 |
+
"learning_rate": 7.793820558526442e-06,
|
2683 |
+
"loss": 0.035,
|
2684 |
+
"step": 3890
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 2.4,
|
2688 |
+
"learning_rate": 7.787878787878789e-06,
|
2689 |
+
"loss": 0.0368,
|
2690 |
+
"step": 3900
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 2.4,
|
2694 |
+
"eval_loss": 0.057220458984375,
|
2695 |
+
"eval_runtime": 236.6525,
|
2696 |
+
"eval_samples_per_second": 9.085,
|
2697 |
+
"eval_steps_per_second": 0.072,
|
2698 |
+
"eval_wer": 20.170382300584894,
|
2699 |
+
"step": 3900
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"epoch": 2.41,
|
2703 |
+
"learning_rate": 7.781937017231136e-06,
|
2704 |
+
"loss": 0.0356,
|
2705 |
+
"step": 3910
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 2.41,
|
2709 |
+
"learning_rate": 7.775995246583483e-06,
|
2710 |
+
"loss": 0.0356,
|
2711 |
+
"step": 3920
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 2.42,
|
2715 |
+
"learning_rate": 7.77005347593583e-06,
|
2716 |
+
"loss": 0.0348,
|
2717 |
+
"step": 3930
|
2718 |
+
},
|
2719 |
+
{
|
2720 |
+
"epoch": 2.42,
|
2721 |
+
"learning_rate": 7.764111705288176e-06,
|
2722 |
+
"loss": 0.0357,
|
2723 |
+
"step": 3940
|
2724 |
+
},
|
2725 |
+
{
|
2726 |
+
"epoch": 2.43,
|
2727 |
+
"learning_rate": 7.758169934640523e-06,
|
2728 |
+
"loss": 0.0349,
|
2729 |
+
"step": 3950
|
2730 |
+
},
|
2731 |
+
{
|
2732 |
+
"epoch": 2.44,
|
2733 |
+
"learning_rate": 7.752228163992872e-06,
|
2734 |
+
"loss": 0.0373,
|
2735 |
+
"step": 3960
|
2736 |
+
},
|
2737 |
+
{
|
2738 |
+
"epoch": 2.44,
|
2739 |
+
"learning_rate": 7.746286393345217e-06,
|
2740 |
+
"loss": 0.0346,
|
2741 |
+
"step": 3970
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"epoch": 2.45,
|
2745 |
+
"learning_rate": 7.740344622697564e-06,
|
2746 |
+
"loss": 0.0358,
|
2747 |
+
"step": 3980
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 2.46,
|
2751 |
+
"learning_rate": 7.734402852049912e-06,
|
2752 |
+
"loss": 0.0358,
|
2753 |
+
"step": 3990
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 2.46,
|
2757 |
+
"learning_rate": 7.728461081402259e-06,
|
2758 |
+
"loss": 0.0357,
|
2759 |
+
"step": 4000
|
2760 |
+
},
|
2761 |
+
{
|
2762 |
+
"epoch": 2.46,
|
2763 |
+
"eval_loss": 0.05609130859375,
|
2764 |
+
"eval_runtime": 238.1705,
|
2765 |
+
"eval_samples_per_second": 9.027,
|
2766 |
+
"eval_steps_per_second": 0.071,
|
2767 |
+
"eval_wer": 20.01356277019581,
|
2768 |
+
"step": 4000
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 2.47,
|
2772 |
+
"learning_rate": 7.722519310754606e-06,
|
2773 |
+
"loss": 0.036,
|
2774 |
+
"step": 4010
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 2.47,
|
2778 |
+
"learning_rate": 7.716577540106953e-06,
|
2779 |
+
"loss": 0.035,
|
2780 |
+
"step": 4020
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 2.48,
|
2784 |
+
"learning_rate": 7.7106357694593e-06,
|
2785 |
+
"loss": 0.0352,
|
2786 |
+
"step": 4030
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 2.49,
|
2790 |
+
"learning_rate": 7.704693998811646e-06,
|
2791 |
+
"loss": 0.0353,
|
2792 |
+
"step": 4040
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 2.49,
|
2796 |
+
"learning_rate": 7.698752228163993e-06,
|
2797 |
+
"loss": 0.0348,
|
2798 |
+
"step": 4050
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 2.5,
|
2802 |
+
"learning_rate": 7.692810457516342e-06,
|
2803 |
+
"loss": 0.0365,
|
2804 |
+
"step": 4060
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 2.5,
|
2808 |
+
"learning_rate": 7.686868686868687e-06,
|
2809 |
+
"loss": 0.0359,
|
2810 |
+
"step": 4070
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 2.51,
|
2814 |
+
"learning_rate": 7.680926916221033e-06,
|
2815 |
+
"loss": 0.0355,
|
2816 |
+
"step": 4080
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 2.52,
|
2820 |
+
"learning_rate": 7.674985145573382e-06,
|
2821 |
+
"loss": 0.0375,
|
2822 |
+
"step": 4090
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 2.52,
|
2826 |
+
"learning_rate": 7.669043374925729e-06,
|
2827 |
+
"loss": 0.038,
|
2828 |
+
"step": 4100
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 2.52,
|
2832 |
+
"eval_loss": 0.055450439453125,
|
2833 |
+
"eval_runtime": 240.3662,
|
2834 |
+
"eval_samples_per_second": 8.945,
|
2835 |
+
"eval_steps_per_second": 0.071,
|
2836 |
+
"eval_wer": 20.161905569212514,
|
2837 |
+
"step": 4100
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 2.53,
|
2841 |
+
"learning_rate": 7.663101604278076e-06,
|
2842 |
+
"loss": 0.0349,
|
2843 |
+
"step": 4110
|
2844 |
+
},
|
2845 |
+
{
|
2846 |
+
"epoch": 2.54,
|
2847 |
+
"learning_rate": 7.657159833630423e-06,
|
2848 |
+
"loss": 0.0377,
|
2849 |
+
"step": 4120
|
2850 |
+
},
|
2851 |
+
{
|
2852 |
+
"epoch": 2.54,
|
2853 |
+
"learning_rate": 7.65121806298277e-06,
|
2854 |
+
"loss": 0.0363,
|
2855 |
+
"step": 4130
|
2856 |
+
},
|
2857 |
+
{
|
2858 |
+
"epoch": 2.55,
|
2859 |
+
"learning_rate": 7.645276292335116e-06,
|
2860 |
+
"loss": 0.0345,
|
2861 |
+
"step": 4140
|
2862 |
+
},
|
2863 |
+
{
|
2864 |
+
"epoch": 2.55,
|
2865 |
+
"learning_rate": 7.639334521687463e-06,
|
2866 |
+
"loss": 0.0363,
|
2867 |
+
"step": 4150
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 2.56,
|
2871 |
+
"learning_rate": 7.633392751039812e-06,
|
2872 |
+
"loss": 0.0372,
|
2873 |
+
"step": 4160
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 2.57,
|
2877 |
+
"learning_rate": 7.627450980392157e-06,
|
2878 |
+
"loss": 0.0354,
|
2879 |
+
"step": 4170
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 2.57,
|
2883 |
+
"learning_rate": 7.621509209744504e-06,
|
2884 |
+
"loss": 0.0352,
|
2885 |
+
"step": 4180
|
2886 |
+
},
|
2887 |
+
{
|
2888 |
+
"epoch": 2.58,
|
2889 |
+
"learning_rate": 7.615567439096851e-06,
|
2890 |
+
"loss": 0.0346,
|
2891 |
+
"step": 4190
|
2892 |
+
},
|
2893 |
+
{
|
2894 |
+
"epoch": 2.58,
|
2895 |
+
"learning_rate": 7.609625668449199e-06,
|
2896 |
+
"loss": 0.0359,
|
2897 |
+
"step": 4200
|
2898 |
+
},
|
2899 |
+
{
|
2900 |
+
"epoch": 2.58,
|
2901 |
+
"eval_loss": 0.055328369140625,
|
2902 |
+
"eval_runtime": 237.9056,
|
2903 |
+
"eval_samples_per_second": 9.037,
|
2904 |
+
"eval_steps_per_second": 0.071,
|
2905 |
+
"eval_wer": 19.810121217258626,
|
2906 |
+
"step": 4200
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 2.59,
|
2910 |
+
"learning_rate": 7.603683897801546e-06,
|
2911 |
+
"loss": 0.0366,
|
2912 |
+
"step": 4210
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 2.6,
|
2916 |
+
"learning_rate": 7.597742127153892e-06,
|
2917 |
+
"loss": 0.0365,
|
2918 |
+
"step": 4220
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 2.6,
|
2922 |
+
"learning_rate": 7.591800356506239e-06,
|
2923 |
+
"loss": 0.0364,
|
2924 |
+
"step": 4230
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 2.61,
|
2928 |
+
"learning_rate": 7.585858585858586e-06,
|
2929 |
+
"loss": 0.036,
|
2930 |
+
"step": 4240
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 2.62,
|
2934 |
+
"learning_rate": 7.579916815210934e-06,
|
2935 |
+
"loss": 0.0362,
|
2936 |
+
"step": 4250
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 2.62,
|
2940 |
+
"learning_rate": 7.573975044563281e-06,
|
2941 |
+
"loss": 0.035,
|
2942 |
+
"step": 4260
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 2.63,
|
2946 |
+
"learning_rate": 7.568033273915627e-06,
|
2947 |
+
"loss": 0.035,
|
2948 |
+
"step": 4270
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 2.63,
|
2952 |
+
"learning_rate": 7.562091503267974e-06,
|
2953 |
+
"loss": 0.0354,
|
2954 |
+
"step": 4280
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 2.64,
|
2958 |
+
"learning_rate": 7.556149732620321e-06,
|
2959 |
+
"loss": 0.036,
|
2960 |
+
"step": 4290
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"epoch": 2.65,
|
2964 |
+
"learning_rate": 7.550207961972669e-06,
|
2965 |
+
"loss": 0.0349,
|
2966 |
+
"step": 4300
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 2.65,
|
2970 |
+
"eval_loss": 0.055267333984375,
|
2971 |
+
"eval_runtime": 232.2496,
|
2972 |
+
"eval_samples_per_second": 9.257,
|
2973 |
+
"eval_steps_per_second": 0.073,
|
2974 |
+
"eval_wer": 19.839789777061963,
|
2975 |
+
"step": 4300
|
2976 |
+
},
|
2977 |
+
{
|
2978 |
+
"epoch": 2.65,
|
2979 |
+
"learning_rate": 7.544266191325016e-06,
|
2980 |
+
"loss": 0.0352,
|
2981 |
+
"step": 4310
|
2982 |
+
},
|
2983 |
+
{
|
2984 |
+
"epoch": 2.66,
|
2985 |
+
"learning_rate": 7.538324420677362e-06,
|
2986 |
+
"loss": 0.0354,
|
2987 |
+
"step": 4320
|
2988 |
+
},
|
2989 |
+
{
|
2990 |
+
"epoch": 2.66,
|
2991 |
+
"learning_rate": 7.532382650029709e-06,
|
2992 |
+
"loss": 0.0344,
|
2993 |
+
"step": 4330
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 2.67,
|
2997 |
+
"learning_rate": 7.526440879382056e-06,
|
2998 |
+
"loss": 0.0385,
|
2999 |
+
"step": 4340
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 2.68,
|
3003 |
+
"learning_rate": 7.520499108734404e-06,
|
3004 |
+
"loss": 0.0362,
|
3005 |
+
"step": 4350
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 2.68,
|
3009 |
+
"learning_rate": 7.514557338086751e-06,
|
3010 |
+
"loss": 0.0359,
|
3011 |
+
"step": 4360
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 2.69,
|
3015 |
+
"learning_rate": 7.508615567439097e-06,
|
3016 |
+
"loss": 0.0357,
|
3017 |
+
"step": 4370
|
3018 |
+
},
|
3019 |
+
{
|
3020 |
+
"epoch": 2.7,
|
3021 |
+
"learning_rate": 7.502673796791444e-06,
|
3022 |
+
"loss": 0.0349,
|
3023 |
+
"step": 4380
|
3024 |
+
},
|
3025 |
+
{
|
3026 |
+
"epoch": 2.7,
|
3027 |
+
"learning_rate": 7.496732026143791e-06,
|
3028 |
+
"loss": 0.0358,
|
3029 |
+
"step": 4390
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 2.71,
|
3033 |
+
"learning_rate": 7.490790255496139e-06,
|
3034 |
+
"loss": 0.0363,
|
3035 |
+
"step": 4400
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"epoch": 2.71,
|
3039 |
+
"eval_loss": 0.05438232421875,
|
3040 |
+
"eval_runtime": 236.2463,
|
3041 |
+
"eval_samples_per_second": 9.101,
|
3042 |
+
"eval_steps_per_second": 0.072,
|
3043 |
+
"eval_wer": 20.026277867254386,
|
3044 |
+
"step": 4400
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 2.71,
|
3048 |
+
"learning_rate": 7.484848484848486e-06,
|
3049 |
+
"loss": 0.036,
|
3050 |
+
"step": 4410
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 2.72,
|
3054 |
+
"learning_rate": 7.4789067142008324e-06,
|
3055 |
+
"loss": 0.0369,
|
3056 |
+
"step": 4420
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 2.73,
|
3060 |
+
"learning_rate": 7.472964943553179e-06,
|
3061 |
+
"loss": 0.0368,
|
3062 |
+
"step": 4430
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 2.73,
|
3066 |
+
"learning_rate": 7.467023172905526e-06,
|
3067 |
+
"loss": 0.036,
|
3068 |
+
"step": 4440
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 2.74,
|
3072 |
+
"learning_rate": 7.461081402257874e-06,
|
3073 |
+
"loss": 0.0351,
|
3074 |
+
"step": 4450
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 2.74,
|
3078 |
+
"learning_rate": 7.455139631610221e-06,
|
3079 |
+
"loss": 0.0359,
|
3080 |
+
"step": 4460
|
3081 |
+
},
|
3082 |
+
{
|
3083 |
+
"epoch": 2.75,
|
3084 |
+
"learning_rate": 7.4491978609625674e-06,
|
3085 |
+
"loss": 0.0357,
|
3086 |
+
"step": 4470
|
3087 |
+
},
|
3088 |
+
{
|
3089 |
+
"epoch": 2.76,
|
3090 |
+
"learning_rate": 7.443256090314914e-06,
|
3091 |
+
"loss": 0.035,
|
3092 |
+
"step": 4480
|
3093 |
+
},
|
3094 |
+
{
|
3095 |
+
"epoch": 2.76,
|
3096 |
+
"learning_rate": 7.437314319667261e-06,
|
3097 |
+
"loss": 0.0352,
|
3098 |
+
"step": 4490
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 2.77,
|
3102 |
+
"learning_rate": 7.431372549019609e-06,
|
3103 |
+
"loss": 0.0353,
|
3104 |
+
"step": 4500
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 2.77,
|
3108 |
+
"eval_loss": 0.0548095703125,
|
3109 |
+
"eval_runtime": 234.9071,
|
3110 |
+
"eval_samples_per_second": 9.153,
|
3111 |
+
"eval_steps_per_second": 0.072,
|
3112 |
+
"eval_wer": 19.88641179961007,
|
3113 |
+
"step": 4500
|
3114 |
+
},
|
3115 |
+
{
|
3116 |
+
"epoch": 2.78,
|
3117 |
+
"learning_rate": 7.425430778371956e-06,
|
3118 |
+
"loss": 0.0352,
|
3119 |
+
"step": 4510
|
3120 |
+
},
|
3121 |
+
{
|
3122 |
+
"epoch": 2.78,
|
3123 |
+
"learning_rate": 7.4194890077243024e-06,
|
3124 |
+
"loss": 0.0345,
|
3125 |
+
"step": 4520
|
3126 |
+
},
|
3127 |
+
{
|
3128 |
+
"epoch": 2.79,
|
3129 |
+
"learning_rate": 7.413547237076649e-06,
|
3130 |
+
"loss": 0.0355,
|
3131 |
+
"step": 4530
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 2.79,
|
3135 |
+
"learning_rate": 7.407605466428996e-06,
|
3136 |
+
"loss": 0.0365,
|
3137 |
+
"step": 4540
|
3138 |
+
},
|
3139 |
+
{
|
3140 |
+
"epoch": 2.8,
|
3141 |
+
"learning_rate": 7.401663695781344e-06,
|
3142 |
+
"loss": 0.0353,
|
3143 |
+
"step": 4550
|
3144 |
+
},
|
3145 |
+
{
|
3146 |
+
"epoch": 2.81,
|
3147 |
+
"learning_rate": 7.395721925133691e-06,
|
3148 |
+
"loss": 0.0353,
|
3149 |
+
"step": 4560
|
3150 |
+
},
|
3151 |
+
{
|
3152 |
+
"epoch": 2.81,
|
3153 |
+
"learning_rate": 7.389780154486037e-06,
|
3154 |
+
"loss": 0.0365,
|
3155 |
+
"step": 4570
|
3156 |
+
},
|
3157 |
+
{
|
3158 |
+
"epoch": 2.82,
|
3159 |
+
"learning_rate": 7.383838383838384e-06,
|
3160 |
+
"loss": 0.0364,
|
3161 |
+
"step": 4580
|
3162 |
+
},
|
3163 |
+
{
|
3164 |
+
"epoch": 2.82,
|
3165 |
+
"learning_rate": 7.377896613190731e-06,
|
3166 |
+
"loss": 0.0354,
|
3167 |
+
"step": 4590
|
3168 |
+
},
|
3169 |
+
{
|
3170 |
+
"epoch": 2.83,
|
3171 |
+
"learning_rate": 7.371954842543079e-06,
|
3172 |
+
"loss": 0.0372,
|
3173 |
+
"step": 4600
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 2.83,
|
3177 |
+
"eval_loss": 0.053741455078125,
|
3178 |
+
"eval_runtime": 247.1644,
|
3179 |
+
"eval_samples_per_second": 8.699,
|
3180 |
+
"eval_steps_per_second": 0.069,
|
3181 |
+
"eval_wer": 19.687208612359075,
|
3182 |
+
"step": 4600
|
3183 |
+
},
|
3184 |
+
{
|
3185 |
+
"epoch": 2.84,
|
3186 |
+
"learning_rate": 7.366013071895426e-06,
|
3187 |
+
"loss": 0.0355,
|
3188 |
+
"step": 4610
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 2.84,
|
3192 |
+
"learning_rate": 7.360071301247772e-06,
|
3193 |
+
"loss": 0.0355,
|
3194 |
+
"step": 4620
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 2.85,
|
3198 |
+
"learning_rate": 7.354129530600119e-06,
|
3199 |
+
"loss": 0.0379,
|
3200 |
+
"step": 4630
|
3201 |
+
},
|
3202 |
+
{
|
3203 |
+
"epoch": 2.86,
|
3204 |
+
"learning_rate": 7.348187759952466e-06,
|
3205 |
+
"loss": 0.035,
|
3206 |
+
"step": 4640
|
3207 |
+
},
|
3208 |
+
{
|
3209 |
+
"epoch": 2.86,
|
3210 |
+
"learning_rate": 7.342245989304814e-06,
|
3211 |
+
"loss": 0.0376,
|
3212 |
+
"step": 4650
|
3213 |
+
},
|
3214 |
+
{
|
3215 |
+
"epoch": 2.87,
|
3216 |
+
"learning_rate": 7.3363042186571606e-06,
|
3217 |
+
"loss": 0.0345,
|
3218 |
+
"step": 4660
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 2.87,
|
3222 |
+
"learning_rate": 7.330362448009507e-06,
|
3223 |
+
"loss": 0.0358,
|
3224 |
+
"step": 4670
|
3225 |
+
},
|
3226 |
+
{
|
3227 |
+
"epoch": 2.88,
|
3228 |
+
"learning_rate": 7.324420677361854e-06,
|
3229 |
+
"loss": 0.034,
|
3230 |
+
"step": 4680
|
3231 |
+
},
|
3232 |
+
{
|
3233 |
+
"epoch": 2.89,
|
3234 |
+
"learning_rate": 7.318478906714201e-06,
|
3235 |
+
"loss": 0.0351,
|
3236 |
+
"step": 4690
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 2.89,
|
3240 |
+
"learning_rate": 7.312537136066549e-06,
|
3241 |
+
"loss": 0.0361,
|
3242 |
+
"step": 4700
|
3243 |
+
},
|
3244 |
+
{
|
3245 |
+
"epoch": 2.89,
|
3246 |
+
"eval_loss": 0.0540771484375,
|
3247 |
+
"eval_runtime": 240.5503,
|
3248 |
+
"eval_samples_per_second": 8.938,
|
3249 |
+
"eval_steps_per_second": 0.071,
|
3250 |
+
"eval_wer": 19.678731880986692,
|
3251 |
+
"step": 4700
|
3252 |
+
},
|
3253 |
+
{
|
3254 |
+
"epoch": 2.9,
|
3255 |
+
"learning_rate": 7.3065953654188956e-06,
|
3256 |
+
"loss": 0.0369,
|
3257 |
+
"step": 4710
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 2.9,
|
3261 |
+
"learning_rate": 7.300653594771242e-06,
|
3262 |
+
"loss": 0.0365,
|
3263 |
+
"step": 4720
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 2.91,
|
3267 |
+
"learning_rate": 7.294711824123589e-06,
|
3268 |
+
"loss": 0.0345,
|
3269 |
+
"step": 4730
|
3270 |
+
},
|
3271 |
+
{
|
3272 |
+
"epoch": 2.92,
|
3273 |
+
"learning_rate": 7.288770053475936e-06,
|
3274 |
+
"loss": 0.034,
|
3275 |
+
"step": 4740
|
3276 |
+
},
|
3277 |
+
{
|
3278 |
+
"epoch": 2.92,
|
3279 |
+
"learning_rate": 7.282828282828284e-06,
|
3280 |
+
"loss": 0.0352,
|
3281 |
+
"step": 4750
|
3282 |
+
},
|
3283 |
+
{
|
3284 |
+
"epoch": 2.93,
|
3285 |
+
"learning_rate": 7.2768865121806306e-06,
|
3286 |
+
"loss": 0.0355,
|
3287 |
+
"step": 4760
|
3288 |
+
},
|
3289 |
+
{
|
3290 |
+
"epoch": 2.94,
|
3291 |
+
"learning_rate": 7.270944741532977e-06,
|
3292 |
+
"loss": 0.035,
|
3293 |
+
"step": 4770
|
3294 |
+
},
|
3295 |
+
{
|
3296 |
+
"epoch": 2.94,
|
3297 |
+
"learning_rate": 7.265002970885324e-06,
|
3298 |
+
"loss": 0.0349,
|
3299 |
+
"step": 4780
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 2.95,
|
3303 |
+
"learning_rate": 7.259061200237672e-06,
|
3304 |
+
"loss": 0.0365,
|
3305 |
+
"step": 4790
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 2.95,
|
3309 |
+
"learning_rate": 7.253119429590019e-06,
|
3310 |
+
"loss": 0.0338,
|
3311 |
+
"step": 4800
|
3312 |
+
},
|
3313 |
+
{
|
3314 |
+
"epoch": 2.95,
|
3315 |
+
"eval_loss": 0.05499267578125,
|
3316 |
+
"eval_runtime": 246.5763,
|
3317 |
+
"eval_samples_per_second": 8.719,
|
3318 |
+
"eval_steps_per_second": 0.069,
|
3319 |
+
"eval_wer": 19.30575570060185,
|
3320 |
+
"step": 4800
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 2.96,
|
3324 |
+
"learning_rate": 7.2471776589423655e-06,
|
3325 |
+
"loss": 0.0356,
|
3326 |
+
"step": 4810
|
3327 |
+
},
|
3328 |
+
{
|
3329 |
+
"epoch": 2.97,
|
3330 |
+
"learning_rate": 7.241235888294712e-06,
|
3331 |
+
"loss": 0.035,
|
3332 |
+
"step": 4820
|
3333 |
+
},
|
3334 |
+
{
|
3335 |
+
"epoch": 2.97,
|
3336 |
+
"learning_rate": 7.235294117647059e-06,
|
3337 |
+
"loss": 0.0372,
|
3338 |
+
"step": 4830
|
3339 |
+
},
|
3340 |
+
{
|
3341 |
+
"epoch": 2.98,
|
3342 |
+
"learning_rate": 7.229352346999407e-06,
|
3343 |
+
"loss": 0.035,
|
3344 |
+
"step": 4840
|
3345 |
+
},
|
3346 |
+
{
|
3347 |
+
"epoch": 2.98,
|
3348 |
+
"learning_rate": 7.223410576351754e-06,
|
3349 |
+
"loss": 0.0366,
|
3350 |
+
"step": 4850
|
3351 |
+
},
|
3352 |
+
{
|
3353 |
+
"epoch": 2.99,
|
3354 |
+
"learning_rate": 7.2174688057041005e-06,
|
3355 |
+
"loss": 0.0349,
|
3356 |
+
"step": 4860
|
3357 |
+
},
|
3358 |
+
{
|
3359 |
+
"epoch": 3.0,
|
3360 |
+
"learning_rate": 7.211527035056447e-06,
|
3361 |
+
"loss": 0.0354,
|
3362 |
+
"step": 4870
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 3.0,
|
3366 |
+
"learning_rate": 7.205585264408794e-06,
|
3367 |
+
"loss": 0.0321,
|
3368 |
+
"step": 4880
|
3369 |
+
},
|
3370 |
+
{
|
3371 |
+
"epoch": 3.01,
|
3372 |
+
"learning_rate": 7.199643493761142e-06,
|
3373 |
+
"loss": 0.029,
|
3374 |
+
"step": 4890
|
3375 |
+
},
|
3376 |
+
{
|
3377 |
+
"epoch": 3.02,
|
3378 |
+
"learning_rate": 7.193701723113489e-06,
|
3379 |
+
"loss": 0.0292,
|
3380 |
+
"step": 4900
|
3381 |
+
},
|
3382 |
+
{
|
3383 |
+
"epoch": 3.02,
|
3384 |
+
"eval_loss": 0.05609130859375,
|
3385 |
+
"eval_runtime": 256.8453,
|
3386 |
+
"eval_samples_per_second": 8.371,
|
3387 |
+
"eval_steps_per_second": 0.066,
|
3388 |
+
"eval_wer": 19.860981605492924,
|
3389 |
+
"step": 4900
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 3.02,
|
3393 |
+
"learning_rate": 7.1877599524658355e-06,
|
3394 |
+
"loss": 0.0294,
|
3395 |
+
"step": 4910
|
3396 |
+
},
|
3397 |
+
{
|
3398 |
+
"epoch": 3.03,
|
3399 |
+
"learning_rate": 7.181818181818182e-06,
|
3400 |
+
"loss": 0.0267,
|
3401 |
+
"step": 4920
|
3402 |
+
},
|
3403 |
+
{
|
3404 |
+
"epoch": 3.03,
|
3405 |
+
"learning_rate": 7.175876411170529e-06,
|
3406 |
+
"loss": 0.0284,
|
3407 |
+
"step": 4930
|
3408 |
+
},
|
3409 |
+
{
|
3410 |
+
"epoch": 3.04,
|
3411 |
+
"learning_rate": 7.169934640522877e-06,
|
3412 |
+
"loss": 0.0289,
|
3413 |
+
"step": 4940
|
3414 |
+
},
|
3415 |
+
{
|
3416 |
+
"epoch": 3.05,
|
3417 |
+
"learning_rate": 7.163992869875224e-06,
|
3418 |
+
"loss": 0.0304,
|
3419 |
+
"step": 4950
|
3420 |
+
},
|
3421 |
+
{
|
3422 |
+
"epoch": 3.05,
|
3423 |
+
"learning_rate": 7.1580510992275705e-06,
|
3424 |
+
"loss": 0.0289,
|
3425 |
+
"step": 4960
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 3.06,
|
3429 |
+
"learning_rate": 7.152109328579917e-06,
|
3430 |
+
"loss": 0.0294,
|
3431 |
+
"step": 4970
|
3432 |
+
},
|
3433 |
+
{
|
3434 |
+
"epoch": 3.06,
|
3435 |
+
"learning_rate": 7.146167557932264e-06,
|
3436 |
+
"loss": 0.027,
|
3437 |
+
"step": 4980
|
3438 |
+
},
|
3439 |
+
{
|
3440 |
+
"epoch": 3.07,
|
3441 |
+
"learning_rate": 7.140225787284612e-06,
|
3442 |
+
"loss": 0.0294,
|
3443 |
+
"step": 4990
|
3444 |
+
},
|
3445 |
+
{
|
3446 |
+
"epoch": 3.08,
|
3447 |
+
"learning_rate": 7.134284016636959e-06,
|
3448 |
+
"loss": 0.0282,
|
3449 |
+
"step": 5000
|
3450 |
+
},
|
3451 |
+
{
|
3452 |
+
"epoch": 3.08,
|
3453 |
+
"eval_loss": 0.05615234375,
|
3454 |
+
"eval_runtime": 259.2509,
|
3455 |
+
"eval_samples_per_second": 8.293,
|
3456 |
+
"eval_steps_per_second": 0.066,
|
3457 |
+
"eval_wer": 20.280579808425873,
|
3458 |
+
"step": 5000
|
3459 |
+
},
|
3460 |
+
{
|
3461 |
+
"epoch": 3.08,
|
3462 |
+
"learning_rate": 7.1295306001188355e-06,
|
3463 |
+
"loss": 0.0292,
|
3464 |
+
"step": 5010
|
3465 |
+
},
|
3466 |
+
{
|
3467 |
+
"epoch": 3.09,
|
3468 |
+
"learning_rate": 7.123588829471183e-06,
|
3469 |
+
"loss": 0.0289,
|
3470 |
+
"step": 5020
|
3471 |
+
},
|
3472 |
+
{
|
3473 |
+
"epoch": 3.1,
|
3474 |
+
"learning_rate": 7.11764705882353e-06,
|
3475 |
+
"loss": 0.0313,
|
3476 |
+
"step": 5030
|
3477 |
+
},
|
3478 |
+
{
|
3479 |
+
"epoch": 3.1,
|
3480 |
+
"learning_rate": 7.111705288175878e-06,
|
3481 |
+
"loss": 0.0295,
|
3482 |
+
"step": 5040
|
3483 |
+
},
|
3484 |
+
{
|
3485 |
+
"epoch": 3.11,
|
3486 |
+
"learning_rate": 7.105763517528224e-06,
|
3487 |
+
"loss": 0.0287,
|
3488 |
+
"step": 5050
|
3489 |
+
},
|
3490 |
+
{
|
3491 |
+
"epoch": 3.11,
|
3492 |
+
"learning_rate": 7.0998217468805705e-06,
|
3493 |
+
"loss": 0.029,
|
3494 |
+
"step": 5060
|
3495 |
+
},
|
3496 |
+
{
|
3497 |
+
"epoch": 3.12,
|
3498 |
+
"learning_rate": 7.093879976232918e-06,
|
3499 |
+
"loss": 0.0285,
|
3500 |
+
"step": 5070
|
3501 |
+
},
|
3502 |
+
{
|
3503 |
+
"epoch": 3.13,
|
3504 |
+
"learning_rate": 7.087938205585265e-06,
|
3505 |
+
"loss": 0.0312,
|
3506 |
+
"step": 5080
|
3507 |
+
},
|
3508 |
+
{
|
3509 |
+
"epoch": 3.13,
|
3510 |
+
"learning_rate": 7.081996434937613e-06,
|
3511 |
+
"loss": 0.0286,
|
3512 |
+
"step": 5090
|
3513 |
+
},
|
3514 |
+
{
|
3515 |
+
"epoch": 3.14,
|
3516 |
+
"learning_rate": 7.076054664289959e-06,
|
3517 |
+
"loss": 0.0288,
|
3518 |
+
"step": 5100
|
3519 |
+
},
|
3520 |
+
{
|
3521 |
+
"epoch": 3.14,
|
3522 |
+
"eval_loss": 0.057220458984375,
|
3523 |
+
"eval_runtime": 252.907,
|
3524 |
+
"eval_samples_per_second": 8.501,
|
3525 |
+
"eval_steps_per_second": 0.067,
|
3526 |
+
"eval_wer": 19.74230736627956,
|
3527 |
+
"step": 5100
|
3528 |
+
},
|
3529 |
+
{
|
3530 |
+
"epoch": 3.14,
|
3531 |
+
"learning_rate": 7.0701128936423055e-06,
|
3532 |
+
"loss": 0.0274,
|
3533 |
+
"step": 5110
|
3534 |
+
},
|
3535 |
+
{
|
3536 |
+
"epoch": 3.15,
|
3537 |
+
"learning_rate": 7.064171122994653e-06,
|
3538 |
+
"loss": 0.0291,
|
3539 |
+
"step": 5120
|
3540 |
+
},
|
3541 |
+
{
|
3542 |
+
"epoch": 3.16,
|
3543 |
+
"learning_rate": 7.058229352347e-06,
|
3544 |
+
"loss": 0.0285,
|
3545 |
+
"step": 5130
|
3546 |
+
},
|
3547 |
+
{
|
3548 |
+
"epoch": 3.16,
|
3549 |
+
"learning_rate": 7.052287581699348e-06,
|
3550 |
+
"loss": 0.0307,
|
3551 |
+
"step": 5140
|
3552 |
+
},
|
3553 |
+
{
|
3554 |
+
"epoch": 3.17,
|
3555 |
+
"learning_rate": 7.046345811051694e-06,
|
3556 |
+
"loss": 0.0299,
|
3557 |
+
"step": 5150
|
3558 |
+
},
|
3559 |
+
{
|
3560 |
+
"epoch": 3.18,
|
3561 |
+
"learning_rate": 7.0404040404040404e-06,
|
3562 |
+
"loss": 0.0301,
|
3563 |
+
"step": 5160
|
3564 |
+
},
|
3565 |
+
{
|
3566 |
+
"epoch": 3.18,
|
3567 |
+
"learning_rate": 7.034462269756388e-06,
|
3568 |
+
"loss": 0.0296,
|
3569 |
+
"step": 5170
|
3570 |
+
},
|
3571 |
+
{
|
3572 |
+
"epoch": 3.19,
|
3573 |
+
"learning_rate": 7.028520499108735e-06,
|
3574 |
+
"loss": 0.0282,
|
3575 |
+
"step": 5180
|
3576 |
+
},
|
3577 |
+
{
|
3578 |
+
"epoch": 3.19,
|
3579 |
+
"learning_rate": 7.022578728461083e-06,
|
3580 |
+
"loss": 0.0301,
|
3581 |
+
"step": 5190
|
3582 |
+
},
|
3583 |
+
{
|
3584 |
+
"epoch": 3.2,
|
3585 |
+
"learning_rate": 7.016636957813429e-06,
|
3586 |
+
"loss": 0.0289,
|
3587 |
+
"step": 5200
|
3588 |
+
},
|
3589 |
+
{
|
3590 |
+
"epoch": 3.2,
|
3591 |
+
"eval_loss": 0.05841064453125,
|
3592 |
+
"eval_runtime": 248.6038,
|
3593 |
+
"eval_samples_per_second": 8.648,
|
3594 |
+
"eval_steps_per_second": 0.068,
|
3595 |
+
"eval_wer": 19.632109858438586,
|
3596 |
+
"step": 5200
|
3597 |
+
},
|
3598 |
+
{
|
3599 |
+
"epoch": 3.21,
|
3600 |
+
"learning_rate": 7.0106951871657754e-06,
|
3601 |
+
"loss": 0.0293,
|
3602 |
+
"step": 5210
|
3603 |
+
},
|
3604 |
+
{
|
3605 |
+
"epoch": 3.21,
|
3606 |
+
"learning_rate": 7.004753416518123e-06,
|
3607 |
+
"loss": 0.0284,
|
3608 |
+
"step": 5220
|
3609 |
+
},
|
3610 |
+
{
|
3611 |
+
"epoch": 3.22,
|
3612 |
+
"learning_rate": 6.99881164587047e-06,
|
3613 |
+
"loss": 0.0277,
|
3614 |
+
"step": 5230
|
3615 |
+
},
|
3616 |
+
{
|
3617 |
+
"epoch": 3.22,
|
3618 |
+
"learning_rate": 6.992869875222818e-06,
|
3619 |
+
"loss": 0.0298,
|
3620 |
+
"step": 5240
|
3621 |
+
},
|
3622 |
+
{
|
3623 |
+
"epoch": 3.23,
|
3624 |
+
"learning_rate": 6.986928104575164e-06,
|
3625 |
+
"loss": 0.0284,
|
3626 |
+
"step": 5250
|
3627 |
+
},
|
3628 |
+
{
|
3629 |
+
"epoch": 3.24,
|
3630 |
+
"learning_rate": 6.9809863339275104e-06,
|
3631 |
+
"loss": 0.0304,
|
3632 |
+
"step": 5260
|
3633 |
+
},
|
3634 |
+
{
|
3635 |
+
"epoch": 3.24,
|
3636 |
+
"learning_rate": 6.975044563279858e-06,
|
3637 |
+
"loss": 0.0292,
|
3638 |
+
"step": 5270
|
3639 |
+
},
|
3640 |
+
{
|
3641 |
+
"epoch": 3.25,
|
3642 |
+
"learning_rate": 6.969102792632205e-06,
|
3643 |
+
"loss": 0.0301,
|
3644 |
+
"step": 5280
|
3645 |
+
},
|
3646 |
+
{
|
3647 |
+
"epoch": 3.26,
|
3648 |
+
"learning_rate": 6.963161021984553e-06,
|
3649 |
+
"loss": 0.0289,
|
3650 |
+
"step": 5290
|
3651 |
+
},
|
3652 |
+
{
|
3653 |
+
"epoch": 3.26,
|
3654 |
+
"learning_rate": 6.957219251336899e-06,
|
3655 |
+
"loss": 0.0288,
|
3656 |
+
"step": 5300
|
3657 |
+
},
|
3658 |
+
{
|
3659 |
+
"epoch": 3.26,
|
3660 |
+
"eval_loss": 0.0565185546875,
|
3661 |
+
"eval_runtime": 247.4756,
|
3662 |
+
"eval_samples_per_second": 8.688,
|
3663 |
+
"eval_steps_per_second": 0.069,
|
3664 |
+
"eval_wer": 19.309994066288038,
|
3665 |
+
"step": 5300
|
3666 |
+
},
|
3667 |
+
{
|
3668 |
+
"epoch": 3.27,
|
3669 |
+
"learning_rate": 6.951277480689245e-06,
|
3670 |
+
"loss": 0.0303,
|
3671 |
+
"step": 5310
|
3672 |
+
},
|
3673 |
+
{
|
3674 |
+
"epoch": 3.27,
|
3675 |
+
"learning_rate": 6.945335710041593e-06,
|
3676 |
+
"loss": 0.0291,
|
3677 |
+
"step": 5320
|
3678 |
+
},
|
3679 |
+
{
|
3680 |
+
"epoch": 3.28,
|
3681 |
+
"learning_rate": 6.93939393939394e-06,
|
3682 |
+
"loss": 0.0296,
|
3683 |
+
"step": 5330
|
3684 |
+
},
|
3685 |
+
{
|
3686 |
+
"epoch": 3.29,
|
3687 |
+
"learning_rate": 6.933452168746288e-06,
|
3688 |
+
"loss": 0.0288,
|
3689 |
+
"step": 5340
|
3690 |
+
},
|
3691 |
+
{
|
3692 |
+
"epoch": 3.29,
|
3693 |
+
"learning_rate": 6.927510398098634e-06,
|
3694 |
+
"loss": 0.0276,
|
3695 |
+
"step": 5350
|
3696 |
+
},
|
3697 |
+
{
|
3698 |
+
"epoch": 3.3,
|
3699 |
+
"learning_rate": 6.92156862745098e-06,
|
3700 |
+
"loss": 0.031,
|
3701 |
+
"step": 5360
|
3702 |
+
},
|
3703 |
+
{
|
3704 |
+
"epoch": 3.3,
|
3705 |
+
"learning_rate": 6.915626856803328e-06,
|
3706 |
+
"loss": 0.0304,
|
3707 |
+
"step": 5370
|
3708 |
+
},
|
3709 |
+
{
|
3710 |
+
"epoch": 3.31,
|
3711 |
+
"learning_rate": 6.909685086155675e-06,
|
3712 |
+
"loss": 0.0298,
|
3713 |
+
"step": 5380
|
3714 |
+
},
|
3715 |
+
{
|
3716 |
+
"epoch": 3.32,
|
3717 |
+
"learning_rate": 6.903743315508023e-06,
|
3718 |
+
"loss": 0.0275,
|
3719 |
+
"step": 5390
|
3720 |
+
},
|
3721 |
+
{
|
3722 |
+
"epoch": 3.32,
|
3723 |
+
"learning_rate": 6.8978015448603686e-06,
|
3724 |
+
"loss": 0.0278,
|
3725 |
+
"step": 5400
|
3726 |
+
},
|
3727 |
+
{
|
3728 |
+
"epoch": 3.32,
|
3729 |
+
"eval_loss": 0.0572509765625,
|
3730 |
+
"eval_runtime": 253.3603,
|
3731 |
+
"eval_samples_per_second": 8.486,
|
3732 |
+
"eval_steps_per_second": 0.067,
|
3733 |
+
"eval_wer": 19.805882851572434,
|
3734 |
+
"step": 5400
|
3735 |
+
},
|
3736 |
+
{
|
3737 |
+
"epoch": 3.33,
|
3738 |
+
"learning_rate": 6.891859774212715e-06,
|
3739 |
+
"loss": 0.0286,
|
3740 |
+
"step": 5410
|
3741 |
+
},
|
3742 |
+
{
|
3743 |
+
"epoch": 3.34,
|
3744 |
+
"learning_rate": 6.885918003565063e-06,
|
3745 |
+
"loss": 0.0297,
|
3746 |
+
"step": 5420
|
3747 |
+
},
|
3748 |
+
{
|
3749 |
+
"epoch": 3.34,
|
3750 |
+
"learning_rate": 6.87997623291741e-06,
|
3751 |
+
"loss": 0.0298,
|
3752 |
+
"step": 5430
|
3753 |
+
},
|
3754 |
+
{
|
3755 |
+
"epoch": 3.35,
|
3756 |
+
"learning_rate": 6.874034462269758e-06,
|
3757 |
+
"loss": 0.0295,
|
3758 |
+
"step": 5440
|
3759 |
+
},
|
3760 |
+
{
|
3761 |
+
"epoch": 3.35,
|
3762 |
+
"learning_rate": 6.8680926916221036e-06,
|
3763 |
+
"loss": 0.0293,
|
3764 |
+
"step": 5450
|
3765 |
+
},
|
3766 |
+
{
|
3767 |
+
"epoch": 3.36,
|
3768 |
+
"learning_rate": 6.86215092097445e-06,
|
3769 |
+
"loss": 0.0288,
|
3770 |
+
"step": 5460
|
3771 |
+
},
|
3772 |
+
{
|
3773 |
+
"epoch": 3.37,
|
3774 |
+
"learning_rate": 6.856209150326798e-06,
|
3775 |
+
"loss": 0.03,
|
3776 |
+
"step": 5470
|
3777 |
+
},
|
3778 |
+
{
|
3779 |
+
"epoch": 3.37,
|
3780 |
+
"learning_rate": 6.850267379679145e-06,
|
3781 |
+
"loss": 0.0292,
|
3782 |
+
"step": 5480
|
3783 |
+
},
|
3784 |
+
{
|
3785 |
+
"epoch": 3.38,
|
3786 |
+
"learning_rate": 6.8443256090314926e-06,
|
3787 |
+
"loss": 0.0286,
|
3788 |
+
"step": 5490
|
3789 |
+
},
|
3790 |
+
{
|
3791 |
+
"epoch": 3.38,
|
3792 |
+
"learning_rate": 6.8383838383838386e-06,
|
3793 |
+
"loss": 0.0304,
|
3794 |
+
"step": 5500
|
3795 |
+
},
|
3796 |
+
{
|
3797 |
+
"epoch": 3.38,
|
3798 |
+
"eval_loss": 0.056854248046875,
|
3799 |
+
"eval_runtime": 252.8996,
|
3800 |
+
"eval_samples_per_second": 8.501,
|
3801 |
+
"eval_steps_per_second": 0.067,
|
3802 |
+
"eval_wer": 19.979655844706283,
|
3803 |
+
"step": 5500
|
3804 |
+
},
|
3805 |
+
{
|
3806 |
+
"epoch": 3.39,
|
3807 |
+
"learning_rate": 6.832442067736185e-06,
|
3808 |
+
"loss": 0.0288,
|
3809 |
+
"step": 5510
|
3810 |
+
},
|
3811 |
+
{
|
3812 |
+
"epoch": 3.4,
|
3813 |
+
"learning_rate": 6.826500297088533e-06,
|
3814 |
+
"loss": 0.0298,
|
3815 |
+
"step": 5520
|
3816 |
+
},
|
3817 |
+
{
|
3818 |
+
"epoch": 3.4,
|
3819 |
+
"learning_rate": 6.82055852644088e-06,
|
3820 |
+
"loss": 0.0298,
|
3821 |
+
"step": 5530
|
3822 |
+
},
|
3823 |
+
{
|
3824 |
+
"epoch": 3.41,
|
3825 |
+
"learning_rate": 6.8146167557932276e-06,
|
3826 |
+
"loss": 0.03,
|
3827 |
+
"step": 5540
|
3828 |
+
},
|
3829 |
+
{
|
3830 |
+
"epoch": 3.42,
|
3831 |
+
"learning_rate": 6.8086749851455735e-06,
|
3832 |
+
"loss": 0.0285,
|
3833 |
+
"step": 5550
|
3834 |
+
},
|
3835 |
+
{
|
3836 |
+
"epoch": 3.42,
|
3837 |
+
"learning_rate": 6.80273321449792e-06,
|
3838 |
+
"loss": 0.0303,
|
3839 |
+
"step": 5560
|
3840 |
+
},
|
3841 |
+
{
|
3842 |
+
"epoch": 3.43,
|
3843 |
+
"learning_rate": 6.796791443850268e-06,
|
3844 |
+
"loss": 0.03,
|
3845 |
+
"step": 5570
|
3846 |
+
},
|
3847 |
+
{
|
3848 |
+
"epoch": 3.43,
|
3849 |
+
"learning_rate": 6.790849673202615e-06,
|
3850 |
+
"loss": 0.0293,
|
3851 |
+
"step": 5580
|
3852 |
+
},
|
3853 |
+
{
|
3854 |
+
"epoch": 3.44,
|
3855 |
+
"learning_rate": 6.7849079025549626e-06,
|
3856 |
+
"loss": 0.0292,
|
3857 |
+
"step": 5590
|
3858 |
+
},
|
3859 |
+
{
|
3860 |
+
"epoch": 3.45,
|
3861 |
+
"learning_rate": 6.7789661319073085e-06,
|
3862 |
+
"loss": 0.0286,
|
3863 |
+
"step": 5600
|
3864 |
+
},
|
3865 |
+
{
|
3866 |
+
"epoch": 3.45,
|
3867 |
+
"eval_loss": 0.057830810546875,
|
3868 |
+
"eval_runtime": 247.1692,
|
3869 |
+
"eval_samples_per_second": 8.698,
|
3870 |
+
"eval_steps_per_second": 0.069,
|
3871 |
+
"eval_wer": 19.712638806476225,
|
3872 |
+
"step": 5600
|
3873 |
+
},
|
3874 |
+
{
|
3875 |
+
"epoch": 3.45,
|
3876 |
+
"learning_rate": 6.773024361259656e-06,
|
3877 |
+
"loss": 0.0299,
|
3878 |
+
"step": 5610
|
3879 |
+
},
|
3880 |
+
{
|
3881 |
+
"epoch": 3.46,
|
3882 |
+
"learning_rate": 6.767082590612003e-06,
|
3883 |
+
"loss": 0.0289,
|
3884 |
+
"step": 5620
|
3885 |
+
},
|
3886 |
+
{
|
3887 |
+
"epoch": 3.46,
|
3888 |
+
"learning_rate": 6.76114081996435e-06,
|
3889 |
+
"loss": 0.03,
|
3890 |
+
"step": 5630
|
3891 |
+
},
|
3892 |
+
{
|
3893 |
+
"epoch": 3.47,
|
3894 |
+
"learning_rate": 6.7551990493166975e-06,
|
3895 |
+
"loss": 0.0291,
|
3896 |
+
"step": 5640
|
3897 |
+
},
|
3898 |
+
{
|
3899 |
+
"epoch": 3.48,
|
3900 |
+
"learning_rate": 6.7492572786690435e-06,
|
3901 |
+
"loss": 0.0293,
|
3902 |
+
"step": 5650
|
3903 |
+
},
|
3904 |
+
{
|
3905 |
+
"epoch": 3.48,
|
3906 |
+
"learning_rate": 6.743315508021391e-06,
|
3907 |
+
"loss": 0.0294,
|
3908 |
+
"step": 5660
|
3909 |
+
},
|
3910 |
+
{
|
3911 |
+
"epoch": 3.49,
|
3912 |
+
"learning_rate": 6.737373737373738e-06,
|
3913 |
+
"loss": 0.0307,
|
3914 |
+
"step": 5670
|
3915 |
+
},
|
3916 |
+
{
|
3917 |
+
"epoch": 3.5,
|
3918 |
+
"learning_rate": 6.731431966726085e-06,
|
3919 |
+
"loss": 0.0291,
|
3920 |
+
"step": 5680
|
3921 |
+
},
|
3922 |
+
{
|
3923 |
+
"epoch": 3.5,
|
3924 |
+
"learning_rate": 6.7254901960784325e-06,
|
3925 |
+
"loss": 0.028,
|
3926 |
+
"step": 5690
|
3927 |
+
},
|
3928 |
+
{
|
3929 |
+
"epoch": 3.51,
|
3930 |
+
"learning_rate": 6.7195484254307785e-06,
|
3931 |
+
"loss": 0.0286,
|
3932 |
+
"step": 5700
|
3933 |
+
},
|
3934 |
+
{
|
3935 |
+
"epoch": 3.51,
|
3936 |
+
"eval_loss": 0.05731201171875,
|
3937 |
+
"eval_runtime": 254.7504,
|
3938 |
+
"eval_samples_per_second": 8.44,
|
3939 |
+
"eval_steps_per_second": 0.067,
|
3940 |
+
"eval_wer": 19.954225650589134,
|
3941 |
+
"step": 5700
|
3942 |
+
},
|
3943 |
+
{
|
3944 |
+
"epoch": 3.51,
|
3945 |
+
"learning_rate": 6.713606654783126e-06,
|
3946 |
+
"loss": 0.0313,
|
3947 |
+
"step": 5710
|
3948 |
+
},
|
3949 |
+
{
|
3950 |
+
"epoch": 3.52,
|
3951 |
+
"learning_rate": 6.707664884135473e-06,
|
3952 |
+
"loss": 0.0292,
|
3953 |
+
"step": 5720
|
3954 |
+
},
|
3955 |
+
{
|
3956 |
+
"epoch": 3.53,
|
3957 |
+
"learning_rate": 6.70172311348782e-06,
|
3958 |
+
"loss": 0.029,
|
3959 |
+
"step": 5730
|
3960 |
+
},
|
3961 |
+
{
|
3962 |
+
"epoch": 3.53,
|
3963 |
+
"learning_rate": 6.6957813428401675e-06,
|
3964 |
+
"loss": 0.0291,
|
3965 |
+
"step": 5740
|
3966 |
+
},
|
3967 |
+
{
|
3968 |
+
"epoch": 3.54,
|
3969 |
+
"learning_rate": 6.6898395721925135e-06,
|
3970 |
+
"loss": 0.0293,
|
3971 |
+
"step": 5750
|
3972 |
+
},
|
3973 |
+
{
|
3974 |
+
"epoch": 3.54,
|
3975 |
+
"learning_rate": 6.683897801544861e-06,
|
3976 |
+
"loss": 0.0279,
|
3977 |
+
"step": 5760
|
3978 |
+
},
|
3979 |
+
{
|
3980 |
+
"epoch": 3.55,
|
3981 |
+
"learning_rate": 6.677956030897208e-06,
|
3982 |
+
"loss": 0.0295,
|
3983 |
+
"step": 5770
|
3984 |
+
},
|
3985 |
+
{
|
3986 |
+
"epoch": 3.56,
|
3987 |
+
"learning_rate": 6.672014260249555e-06,
|
3988 |
+
"loss": 0.0296,
|
3989 |
+
"step": 5780
|
3990 |
+
},
|
3991 |
+
{
|
3992 |
+
"epoch": 3.56,
|
3993 |
+
"learning_rate": 6.6660724896019025e-06,
|
3994 |
+
"loss": 0.0295,
|
3995 |
+
"step": 5790
|
3996 |
+
},
|
3997 |
+
{
|
3998 |
+
"epoch": 3.57,
|
3999 |
+
"learning_rate": 6.6601307189542485e-06,
|
4000 |
+
"loss": 0.0302,
|
4001 |
+
"step": 5800
|
4002 |
+
},
|
4003 |
+
{
|
4004 |
+
"epoch": 3.57,
|
4005 |
+
"eval_loss": 0.05621337890625,
|
4006 |
+
"eval_runtime": 254.0147,
|
4007 |
+
"eval_samples_per_second": 8.464,
|
4008 |
+
"eval_steps_per_second": 0.067,
|
4009 |
+
"eval_wer": 19.860981605492924,
|
4010 |
+
"step": 5800
|
4011 |
+
},
|
4012 |
+
{
|
4013 |
+
"epoch": 3.58,
|
4014 |
+
"learning_rate": 6.654188948306596e-06,
|
4015 |
+
"loss": 0.0282,
|
4016 |
+
"step": 5810
|
4017 |
+
},
|
4018 |
+
{
|
4019 |
+
"epoch": 3.58,
|
4020 |
+
"learning_rate": 6.648247177658943e-06,
|
4021 |
+
"loss": 0.0293,
|
4022 |
+
"step": 5820
|
4023 |
+
},
|
4024 |
+
{
|
4025 |
+
"epoch": 3.59,
|
4026 |
+
"learning_rate": 6.64230540701129e-06,
|
4027 |
+
"loss": 0.0285,
|
4028 |
+
"step": 5830
|
4029 |
+
},
|
4030 |
+
{
|
4031 |
+
"epoch": 3.59,
|
4032 |
+
"learning_rate": 6.6363636363636375e-06,
|
4033 |
+
"loss": 0.0293,
|
4034 |
+
"step": 5840
|
4035 |
+
},
|
4036 |
+
{
|
4037 |
+
"epoch": 3.6,
|
4038 |
+
"learning_rate": 6.6304218657159835e-06,
|
4039 |
+
"loss": 0.029,
|
4040 |
+
"step": 5850
|
4041 |
+
},
|
4042 |
+
{
|
4043 |
+
"epoch": 3.61,
|
4044 |
+
"learning_rate": 6.624480095068331e-06,
|
4045 |
+
"loss": 0.0287,
|
4046 |
+
"step": 5860
|
4047 |
+
},
|
4048 |
+
{
|
4049 |
+
"epoch": 3.61,
|
4050 |
+
"learning_rate": 6.618538324420678e-06,
|
4051 |
+
"loss": 0.0288,
|
4052 |
+
"step": 5870
|
4053 |
+
},
|
4054 |
+
{
|
4055 |
+
"epoch": 3.62,
|
4056 |
+
"learning_rate": 6.612596553773025e-06,
|
4057 |
+
"loss": 0.0293,
|
4058 |
+
"step": 5880
|
4059 |
+
},
|
4060 |
+
{
|
4061 |
+
"epoch": 3.62,
|
4062 |
+
"learning_rate": 6.6066547831253725e-06,
|
4063 |
+
"loss": 0.0294,
|
4064 |
+
"step": 5890
|
4065 |
+
},
|
4066 |
+
{
|
4067 |
+
"epoch": 3.63,
|
4068 |
+
"learning_rate": 6.6007130124777185e-06,
|
4069 |
+
"loss": 0.0303,
|
4070 |
+
"step": 5900
|
4071 |
+
},
|
4072 |
+
{
|
4073 |
+
"epoch": 3.63,
|
4074 |
+
"eval_loss": 0.056488037109375,
|
4075 |
+
"eval_runtime": 257.9715,
|
4076 |
+
"eval_samples_per_second": 8.334,
|
4077 |
+
"eval_steps_per_second": 0.066,
|
4078 |
+
"eval_wer": 19.835551411375775,
|
4079 |
+
"step": 5900
|
4080 |
+
},
|
4081 |
+
{
|
4082 |
+
"epoch": 3.64,
|
4083 |
+
"learning_rate": 6.594771241830066e-06,
|
4084 |
+
"loss": 0.0298,
|
4085 |
+
"step": 5910
|
4086 |
+
},
|
4087 |
+
{
|
4088 |
+
"epoch": 3.64,
|
4089 |
+
"learning_rate": 6.588829471182413e-06,
|
4090 |
+
"loss": 0.0294,
|
4091 |
+
"step": 5920
|
4092 |
+
},
|
4093 |
+
{
|
4094 |
+
"epoch": 3.65,
|
4095 |
+
"learning_rate": 6.58288770053476e-06,
|
4096 |
+
"loss": 0.0305,
|
4097 |
+
"step": 5930
|
4098 |
+
},
|
4099 |
+
{
|
4100 |
+
"epoch": 3.66,
|
4101 |
+
"learning_rate": 6.5769459298871075e-06,
|
4102 |
+
"loss": 0.0307,
|
4103 |
+
"step": 5940
|
4104 |
+
},
|
4105 |
+
{
|
4106 |
+
"epoch": 3.66,
|
4107 |
+
"learning_rate": 6.5710041592394535e-06,
|
4108 |
+
"loss": 0.0304,
|
4109 |
+
"step": 5950
|
4110 |
+
},
|
4111 |
+
{
|
4112 |
+
"epoch": 3.67,
|
4113 |
+
"learning_rate": 6.565062388591801e-06,
|
4114 |
+
"loss": 0.0275,
|
4115 |
+
"step": 5960
|
4116 |
+
},
|
4117 |
+
{
|
4118 |
+
"epoch": 3.67,
|
4119 |
+
"learning_rate": 6.559120617944148e-06,
|
4120 |
+
"loss": 0.0295,
|
4121 |
+
"step": 5970
|
4122 |
+
},
|
4123 |
+
{
|
4124 |
+
"epoch": 3.68,
|
4125 |
+
"learning_rate": 6.553178847296495e-06,
|
4126 |
+
"loss": 0.0289,
|
4127 |
+
"step": 5980
|
4128 |
+
},
|
4129 |
+
{
|
4130 |
+
"epoch": 3.69,
|
4131 |
+
"learning_rate": 6.547237076648842e-06,
|
4132 |
+
"loss": 0.029,
|
4133 |
+
"step": 5990
|
4134 |
+
},
|
4135 |
+
{
|
4136 |
+
"epoch": 3.69,
|
4137 |
+
"learning_rate": 6.5412953060011885e-06,
|
4138 |
+
"loss": 0.0299,
|
4139 |
+
"step": 6000
|
4140 |
+
},
|
4141 |
+
{
|
4142 |
+
"epoch": 3.69,
|
4143 |
+
"eval_loss": 0.05645751953125,
|
4144 |
+
"eval_runtime": 252.6224,
|
4145 |
+
"eval_samples_per_second": 8.511,
|
4146 |
+
"eval_steps_per_second": 0.067,
|
4147 |
+
"eval_wer": 19.568534373145717,
|
4148 |
+
"step": 6000
|
4149 |
+
},
|
4150 |
+
{
|
4151 |
+
"epoch": 3.7,
|
4152 |
+
"learning_rate": 6.536541889483067e-06,
|
4153 |
+
"loss": 0.0288,
|
4154 |
+
"step": 6010
|
4155 |
+
},
|
4156 |
+
{
|
4157 |
+
"epoch": 3.7,
|
4158 |
+
"learning_rate": 6.530600118835414e-06,
|
4159 |
+
"loss": 0.0292,
|
4160 |
+
"step": 6020
|
4161 |
+
},
|
4162 |
+
{
|
4163 |
+
"epoch": 3.71,
|
4164 |
+
"learning_rate": 6.52465834818776e-06,
|
4165 |
+
"loss": 0.0289,
|
4166 |
+
"step": 6030
|
4167 |
+
},
|
4168 |
+
{
|
4169 |
+
"epoch": 3.72,
|
4170 |
+
"learning_rate": 6.5187165775401074e-06,
|
4171 |
+
"loss": 0.0292,
|
4172 |
+
"step": 6040
|
4173 |
+
},
|
4174 |
+
{
|
4175 |
+
"epoch": 3.72,
|
4176 |
+
"learning_rate": 6.512774806892454e-06,
|
4177 |
+
"loss": 0.0301,
|
4178 |
+
"step": 6050
|
4179 |
+
},
|
4180 |
+
{
|
4181 |
+
"epoch": 3.73,
|
4182 |
+
"learning_rate": 6.506833036244802e-06,
|
4183 |
+
"loss": 0.0282,
|
4184 |
+
"step": 6060
|
4185 |
+
},
|
4186 |
+
{
|
4187 |
+
"epoch": 3.74,
|
4188 |
+
"learning_rate": 6.500891265597149e-06,
|
4189 |
+
"loss": 0.0293,
|
4190 |
+
"step": 6070
|
4191 |
+
},
|
4192 |
+
{
|
4193 |
+
"epoch": 3.74,
|
4194 |
+
"learning_rate": 6.494949494949495e-06,
|
4195 |
+
"loss": 0.0307,
|
4196 |
+
"step": 6080
|
4197 |
+
},
|
4198 |
+
{
|
4199 |
+
"epoch": 3.75,
|
4200 |
+
"learning_rate": 6.489007724301842e-06,
|
4201 |
+
"loss": 0.0294,
|
4202 |
+
"step": 6090
|
4203 |
+
},
|
4204 |
+
{
|
4205 |
+
"epoch": 3.75,
|
4206 |
+
"learning_rate": 6.483065953654189e-06,
|
4207 |
+
"loss": 0.0288,
|
4208 |
+
"step": 6100
|
4209 |
+
},
|
4210 |
+
{
|
4211 |
+
"epoch": 3.75,
|
4212 |
+
"eval_loss": 0.056915283203125,
|
4213 |
+
"eval_runtime": 248.0601,
|
4214 |
+
"eval_samples_per_second": 8.667,
|
4215 |
+
"eval_steps_per_second": 0.069,
|
4216 |
+
"eval_wer": 19.14045943884038,
|
4217 |
+
"step": 6100
|
4218 |
+
},
|
4219 |
+
{
|
4220 |
+
"epoch": 3.76,
|
4221 |
+
"learning_rate": 6.477124183006537e-06,
|
4222 |
+
"loss": 0.0299,
|
4223 |
+
"step": 6110
|
4224 |
+
},
|
4225 |
+
{
|
4226 |
+
"epoch": 3.77,
|
4227 |
+
"learning_rate": 6.471182412358884e-06,
|
4228 |
+
"loss": 0.0299,
|
4229 |
+
"step": 6120
|
4230 |
+
},
|
4231 |
+
{
|
4232 |
+
"epoch": 3.77,
|
4233 |
+
"learning_rate": 6.46524064171123e-06,
|
4234 |
+
"loss": 0.0288,
|
4235 |
+
"step": 6130
|
4236 |
+
},
|
4237 |
+
{
|
4238 |
+
"epoch": 3.78,
|
4239 |
+
"learning_rate": 6.459298871063577e-06,
|
4240 |
+
"loss": 0.03,
|
4241 |
+
"step": 6140
|
4242 |
+
},
|
4243 |
+
{
|
4244 |
+
"epoch": 3.78,
|
4245 |
+
"learning_rate": 6.453357100415924e-06,
|
4246 |
+
"loss": 0.0299,
|
4247 |
+
"step": 6150
|
4248 |
+
},
|
4249 |
+
{
|
4250 |
+
"epoch": 3.79,
|
4251 |
+
"learning_rate": 6.447415329768272e-06,
|
4252 |
+
"loss": 0.0306,
|
4253 |
+
"step": 6160
|
4254 |
+
},
|
4255 |
+
{
|
4256 |
+
"epoch": 3.8,
|
4257 |
+
"learning_rate": 6.441473559120619e-06,
|
4258 |
+
"loss": 0.0287,
|
4259 |
+
"step": 6170
|
4260 |
+
},
|
4261 |
+
{
|
4262 |
+
"epoch": 3.8,
|
4263 |
+
"learning_rate": 6.435531788472965e-06,
|
4264 |
+
"loss": 0.0286,
|
4265 |
+
"step": 6180
|
4266 |
+
},
|
4267 |
+
{
|
4268 |
+
"epoch": 3.81,
|
4269 |
+
"learning_rate": 6.429590017825312e-06,
|
4270 |
+
"loss": 0.0295,
|
4271 |
+
"step": 6190
|
4272 |
+
},
|
4273 |
+
{
|
4274 |
+
"epoch": 3.82,
|
4275 |
+
"learning_rate": 6.423648247177659e-06,
|
4276 |
+
"loss": 0.0296,
|
4277 |
+
"step": 6200
|
4278 |
+
},
|
4279 |
+
{
|
4280 |
+
"epoch": 3.82,
|
4281 |
+
"eval_loss": 0.056854248046875,
|
4282 |
+
"eval_runtime": 244.1093,
|
4283 |
+
"eval_samples_per_second": 8.808,
|
4284 |
+
"eval_steps_per_second": 0.07,
|
4285 |
+
"eval_wer": 19.40323811138425,
|
4286 |
+
"step": 6200
|
4287 |
+
},
|
4288 |
+
{
|
4289 |
+
"epoch": 3.82,
|
4290 |
+
"learning_rate": 6.417706476530007e-06,
|
4291 |
+
"loss": 0.03,
|
4292 |
+
"step": 6210
|
4293 |
+
},
|
4294 |
+
{
|
4295 |
+
"epoch": 3.83,
|
4296 |
+
"learning_rate": 6.411764705882354e-06,
|
4297 |
+
"loss": 0.029,
|
4298 |
+
"step": 6220
|
4299 |
+
},
|
4300 |
+
{
|
4301 |
+
"epoch": 3.83,
|
4302 |
+
"learning_rate": 6.4058229352347e-06,
|
4303 |
+
"loss": 0.0288,
|
4304 |
+
"step": 6230
|
4305 |
+
},
|
4306 |
+
{
|
4307 |
+
"epoch": 3.84,
|
4308 |
+
"learning_rate": 6.399881164587047e-06,
|
4309 |
+
"loss": 0.0293,
|
4310 |
+
"step": 6240
|
4311 |
+
},
|
4312 |
+
{
|
4313 |
+
"epoch": 3.85,
|
4314 |
+
"learning_rate": 6.393939393939394e-06,
|
4315 |
+
"loss": 0.0303,
|
4316 |
+
"step": 6250
|
4317 |
+
},
|
4318 |
+
{
|
4319 |
+
"epoch": 3.85,
|
4320 |
+
"learning_rate": 6.387997623291742e-06,
|
4321 |
+
"loss": 0.0319,
|
4322 |
+
"step": 6260
|
4323 |
+
},
|
4324 |
+
{
|
4325 |
+
"epoch": 3.86,
|
4326 |
+
"learning_rate": 6.382055852644089e-06,
|
4327 |
+
"loss": 0.0294,
|
4328 |
+
"step": 6270
|
4329 |
+
},
|
4330 |
+
{
|
4331 |
+
"epoch": 3.86,
|
4332 |
+
"learning_rate": 6.376114081996435e-06,
|
4333 |
+
"loss": 0.0293,
|
4334 |
+
"step": 6280
|
4335 |
+
},
|
4336 |
+
{
|
4337 |
+
"epoch": 3.87,
|
4338 |
+
"learning_rate": 6.370172311348782e-06,
|
4339 |
+
"loss": 0.0304,
|
4340 |
+
"step": 6290
|
4341 |
+
},
|
4342 |
+
{
|
4343 |
+
"epoch": 3.88,
|
4344 |
+
"learning_rate": 6.364230540701129e-06,
|
4345 |
+
"loss": 0.029,
|
4346 |
+
"step": 6300
|
4347 |
+
},
|
4348 |
+
{
|
4349 |
+
"epoch": 3.88,
|
4350 |
+
"eval_loss": 0.056976318359375,
|
4351 |
+
"eval_runtime": 252.6274,
|
4352 |
+
"eval_samples_per_second": 8.511,
|
4353 |
+
"eval_steps_per_second": 0.067,
|
4354 |
+
"eval_wer": 19.110790879037044,
|
4355 |
+
"step": 6300
|
4356 |
+
}
|
4357 |
+
],
|
4358 |
+
"max_steps": 17000,
|
4359 |
+
"num_train_epochs": 11,
|
4360 |
+
"total_flos": 1.6456274523451545e+21,
|
4361 |
+
"trial_name": null,
|
4362 |
+
"trial_params": null
|
4363 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e74003fceaf8f28181bd01f0e5322a7b6cb529b581bf390c276c8d67a904a96d
|
3 |
+
size 4859
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|