Upload 18 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 +1303 -0
- training_args.bin +3 -0
- vocab.json +0 -0
- zero_to_fp32.py +482 -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_step1650
|
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 sha256:13a55ab3f479c6dc0658e75820da5552812ce8d0d28fafcb9ddc25f0aabb7c98
|
| 3 |
+
size 1527847357
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef1e6fe13d0fee3c8942b8bde7b916424f1a1578f7f7acec137e79a899a4a525
|
| 3 |
+
size 14583
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ad4efa44f036b67509345f48b15e52d6199810d35c7dca7912622f2edcbcfdd
|
| 3 |
+
size 14583
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8951a53be4d71290e95415dc5945f1c3899164e2fef5115d24905835330e673b
|
| 3 |
+
size 14647
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd69462e1a5cd5bf81f68433cc360b73271e1de2464200035b98d3796af27353
|
| 3 |
+
size 14583
|
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 +1,1303 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 12.174852488988614,
|
| 3 |
+
"best_model_checkpoint": "all_lang_models/urdu_models/whisper-medium-ur_alldata_multigpu/checkpoint-1650",
|
| 4 |
+
"epoch": 2.96229802513465,
|
| 5 |
+
"global_step": 1650,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 3.4439086758819625e-06,
|
| 13 |
+
"loss": 2.9322,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.04,
|
| 18 |
+
"learning_rate": 6.556091324118037e-06,
|
| 19 |
+
"loss": 1.5084,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.05,
|
| 24 |
+
"learning_rate": 7.895096067413523e-06,
|
| 25 |
+
"loss": 0.9982,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.07,
|
| 30 |
+
"learning_rate": 8.760378708604572e-06,
|
| 31 |
+
"loss": 0.7498,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.09,
|
| 36 |
+
"learning_rate": 9.400891958404646e-06,
|
| 37 |
+
"loss": 0.575,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.09,
|
| 42 |
+
"eval_loss": 0.3818359375,
|
| 43 |
+
"eval_runtime": 714.3133,
|
| 44 |
+
"eval_samples_per_second": 4.52,
|
| 45 |
+
"eval_steps_per_second": 0.036,
|
| 46 |
+
"eval_wer": 25.978558962852155,
|
| 47 |
+
"step": 50
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 0.11,
|
| 51 |
+
"learning_rate": 9.909653498712722e-06,
|
| 52 |
+
"loss": 0.4348,
|
| 53 |
+
"step": 60
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.13,
|
| 57 |
+
"learning_rate": 9.987373737373737e-06,
|
| 58 |
+
"loss": 0.3921,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.14,
|
| 63 |
+
"learning_rate": 9.96933621933622e-06,
|
| 64 |
+
"loss": 0.3761,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.16,
|
| 69 |
+
"learning_rate": 9.951298701298701e-06,
|
| 70 |
+
"loss": 0.3596,
|
| 71 |
+
"step": 90
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 0.18,
|
| 75 |
+
"learning_rate": 9.933261183261184e-06,
|
| 76 |
+
"loss": 0.3423,
|
| 77 |
+
"step": 100
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.18,
|
| 81 |
+
"eval_loss": 0.275390625,
|
| 82 |
+
"eval_runtime": 235.7872,
|
| 83 |
+
"eval_samples_per_second": 13.695,
|
| 84 |
+
"eval_steps_per_second": 0.11,
|
| 85 |
+
"eval_wer": 19.46591318319067,
|
| 86 |
+
"step": 100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.2,
|
| 90 |
+
"learning_rate": 9.915223665223665e-06,
|
| 91 |
+
"loss": 0.327,
|
| 92 |
+
"step": 110
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.22,
|
| 96 |
+
"learning_rate": 9.897186147186148e-06,
|
| 97 |
+
"loss": 0.3276,
|
| 98 |
+
"step": 120
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.23,
|
| 102 |
+
"learning_rate": 9.87914862914863e-06,
|
| 103 |
+
"loss": 0.3167,
|
| 104 |
+
"step": 130
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.25,
|
| 108 |
+
"learning_rate": 9.861111111111112e-06,
|
| 109 |
+
"loss": 0.3081,
|
| 110 |
+
"step": 140
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.27,
|
| 114 |
+
"learning_rate": 9.843073593073595e-06,
|
| 115 |
+
"loss": 0.2998,
|
| 116 |
+
"step": 150
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.27,
|
| 120 |
+
"eval_loss": 0.245849609375,
|
| 121 |
+
"eval_runtime": 792.9567,
|
| 122 |
+
"eval_samples_per_second": 4.072,
|
| 123 |
+
"eval_steps_per_second": 0.033,
|
| 124 |
+
"eval_wer": 17.673619767860604,
|
| 125 |
+
"step": 150
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 0.29,
|
| 129 |
+
"learning_rate": 9.825036075036076e-06,
|
| 130 |
+
"loss": 0.2942,
|
| 131 |
+
"step": 160
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.31,
|
| 135 |
+
"learning_rate": 9.806998556998558e-06,
|
| 136 |
+
"loss": 0.2866,
|
| 137 |
+
"step": 170
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.32,
|
| 141 |
+
"learning_rate": 9.78896103896104e-06,
|
| 142 |
+
"loss": 0.2859,
|
| 143 |
+
"step": 180
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.34,
|
| 147 |
+
"learning_rate": 9.770923520923522e-06,
|
| 148 |
+
"loss": 0.285,
|
| 149 |
+
"step": 190
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.36,
|
| 153 |
+
"learning_rate": 9.752886002886003e-06,
|
| 154 |
+
"loss": 0.279,
|
| 155 |
+
"step": 200
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.36,
|
| 159 |
+
"eval_loss": 0.2276611328125,
|
| 160 |
+
"eval_runtime": 350.8145,
|
| 161 |
+
"eval_samples_per_second": 9.204,
|
| 162 |
+
"eval_steps_per_second": 0.074,
|
| 163 |
+
"eval_wer": 16.47137039807197,
|
| 164 |
+
"step": 200
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.38,
|
| 168 |
+
"learning_rate": 9.734848484848486e-06,
|
| 169 |
+
"loss": 0.2675,
|
| 170 |
+
"step": 210
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.39,
|
| 174 |
+
"learning_rate": 9.716810966810967e-06,
|
| 175 |
+
"loss": 0.2773,
|
| 176 |
+
"step": 220
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.41,
|
| 180 |
+
"learning_rate": 9.69877344877345e-06,
|
| 181 |
+
"loss": 0.2711,
|
| 182 |
+
"step": 230
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.43,
|
| 186 |
+
"learning_rate": 9.680735930735931e-06,
|
| 187 |
+
"loss": 0.2618,
|
| 188 |
+
"step": 240
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.45,
|
| 192 |
+
"learning_rate": 9.662698412698414e-06,
|
| 193 |
+
"loss": 0.26,
|
| 194 |
+
"step": 250
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.45,
|
| 198 |
+
"eval_loss": 0.218017578125,
|
| 199 |
+
"eval_runtime": 625.9012,
|
| 200 |
+
"eval_samples_per_second": 5.159,
|
| 201 |
+
"eval_steps_per_second": 0.042,
|
| 202 |
+
"eval_wer": 16.003213385412337,
|
| 203 |
+
"step": 250
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.47,
|
| 207 |
+
"learning_rate": 9.644660894660895e-06,
|
| 208 |
+
"loss": 0.2659,
|
| 209 |
+
"step": 260
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.48,
|
| 213 |
+
"learning_rate": 9.626623376623378e-06,
|
| 214 |
+
"loss": 0.2624,
|
| 215 |
+
"step": 270
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.5,
|
| 219 |
+
"learning_rate": 9.608585858585859e-06,
|
| 220 |
+
"loss": 0.258,
|
| 221 |
+
"step": 280
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.52,
|
| 225 |
+
"learning_rate": 9.590548340548342e-06,
|
| 226 |
+
"loss": 0.2567,
|
| 227 |
+
"step": 290
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.54,
|
| 231 |
+
"learning_rate": 9.572510822510823e-06,
|
| 232 |
+
"loss": 0.2433,
|
| 233 |
+
"step": 300
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.54,
|
| 237 |
+
"eval_loss": 0.208740234375,
|
| 238 |
+
"eval_runtime": 603.9398,
|
| 239 |
+
"eval_samples_per_second": 5.347,
|
| 240 |
+
"eval_steps_per_second": 0.043,
|
| 241 |
+
"eval_wer": 15.172165433945539,
|
| 242 |
+
"step": 300
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.56,
|
| 246 |
+
"learning_rate": 9.554473304473305e-06,
|
| 247 |
+
"loss": 0.2555,
|
| 248 |
+
"step": 310
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.57,
|
| 252 |
+
"learning_rate": 9.536435786435786e-06,
|
| 253 |
+
"loss": 0.2518,
|
| 254 |
+
"step": 320
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.59,
|
| 258 |
+
"learning_rate": 9.51839826839827e-06,
|
| 259 |
+
"loss": 0.2428,
|
| 260 |
+
"step": 330
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.61,
|
| 264 |
+
"learning_rate": 9.50036075036075e-06,
|
| 265 |
+
"loss": 0.2403,
|
| 266 |
+
"step": 340
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.63,
|
| 270 |
+
"learning_rate": 9.482323232323233e-06,
|
| 271 |
+
"loss": 0.2366,
|
| 272 |
+
"step": 350
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.63,
|
| 276 |
+
"eval_loss": 0.2032470703125,
|
| 277 |
+
"eval_runtime": 301.5552,
|
| 278 |
+
"eval_samples_per_second": 10.708,
|
| 279 |
+
"eval_steps_per_second": 0.086,
|
| 280 |
+
"eval_wer": 15.014266323166847,
|
| 281 |
+
"step": 350
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.65,
|
| 285 |
+
"learning_rate": 9.464285714285714e-06,
|
| 286 |
+
"loss": 0.245,
|
| 287 |
+
"step": 360
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 0.66,
|
| 291 |
+
"learning_rate": 9.446248196248197e-06,
|
| 292 |
+
"loss": 0.2328,
|
| 293 |
+
"step": 370
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.68,
|
| 297 |
+
"learning_rate": 9.428210678210678e-06,
|
| 298 |
+
"loss": 0.2323,
|
| 299 |
+
"step": 380
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.7,
|
| 303 |
+
"learning_rate": 9.41017316017316e-06,
|
| 304 |
+
"loss": 0.2332,
|
| 305 |
+
"step": 390
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.72,
|
| 309 |
+
"learning_rate": 9.392135642135642e-06,
|
| 310 |
+
"loss": 0.2325,
|
| 311 |
+
"step": 400
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.72,
|
| 315 |
+
"eval_loss": 0.19677734375,
|
| 316 |
+
"eval_runtime": 738.5749,
|
| 317 |
+
"eval_samples_per_second": 4.372,
|
| 318 |
+
"eval_steps_per_second": 0.035,
|
| 319 |
+
"eval_wer": 14.451923876007648,
|
| 320 |
+
"step": 400
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.74,
|
| 324 |
+
"learning_rate": 9.374098124098125e-06,
|
| 325 |
+
"loss": 0.2376,
|
| 326 |
+
"step": 410
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.75,
|
| 330 |
+
"learning_rate": 9.356060606060606e-06,
|
| 331 |
+
"loss": 0.2336,
|
| 332 |
+
"step": 420
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.77,
|
| 336 |
+
"learning_rate": 9.338023088023089e-06,
|
| 337 |
+
"loss": 0.2348,
|
| 338 |
+
"step": 430
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.79,
|
| 342 |
+
"learning_rate": 9.319985569985571e-06,
|
| 343 |
+
"loss": 0.2347,
|
| 344 |
+
"step": 440
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.81,
|
| 348 |
+
"learning_rate": 9.301948051948052e-06,
|
| 349 |
+
"loss": 0.2252,
|
| 350 |
+
"step": 450
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.81,
|
| 354 |
+
"eval_loss": 0.1900634765625,
|
| 355 |
+
"eval_runtime": 305.5238,
|
| 356 |
+
"eval_samples_per_second": 10.569,
|
| 357 |
+
"eval_steps_per_second": 0.085,
|
| 358 |
+
"eval_wer": 14.269093326684951,
|
| 359 |
+
"step": 450
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.83,
|
| 363 |
+
"learning_rate": 9.283910533910535e-06,
|
| 364 |
+
"loss": 0.2389,
|
| 365 |
+
"step": 460
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 0.84,
|
| 369 |
+
"learning_rate": 9.265873015873016e-06,
|
| 370 |
+
"loss": 0.2235,
|
| 371 |
+
"step": 470
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.86,
|
| 375 |
+
"learning_rate": 9.247835497835499e-06,
|
| 376 |
+
"loss": 0.2142,
|
| 377 |
+
"step": 480
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.88,
|
| 381 |
+
"learning_rate": 9.22979797979798e-06,
|
| 382 |
+
"loss": 0.2257,
|
| 383 |
+
"step": 490
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 0.9,
|
| 387 |
+
"learning_rate": 9.211760461760463e-06,
|
| 388 |
+
"loss": 0.2247,
|
| 389 |
+
"step": 500
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.9,
|
| 393 |
+
"eval_loss": 0.1873779296875,
|
| 394 |
+
"eval_runtime": 648.3057,
|
| 395 |
+
"eval_samples_per_second": 4.981,
|
| 396 |
+
"eval_steps_per_second": 0.04,
|
| 397 |
+
"eval_wer": 14.02808942075958,
|
| 398 |
+
"step": 500
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.92,
|
| 402 |
+
"learning_rate": 9.193722943722944e-06,
|
| 403 |
+
"loss": 0.2273,
|
| 404 |
+
"step": 510
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.93,
|
| 408 |
+
"learning_rate": 9.175685425685427e-06,
|
| 409 |
+
"loss": 0.2236,
|
| 410 |
+
"step": 520
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.95,
|
| 414 |
+
"learning_rate": 9.157647907647908e-06,
|
| 415 |
+
"loss": 0.2288,
|
| 416 |
+
"step": 530
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.97,
|
| 420 |
+
"learning_rate": 9.13961038961039e-06,
|
| 421 |
+
"loss": 0.2225,
|
| 422 |
+
"step": 540
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.99,
|
| 426 |
+
"learning_rate": 9.121572871572872e-06,
|
| 427 |
+
"loss": 0.2225,
|
| 428 |
+
"step": 550
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.99,
|
| 432 |
+
"eval_loss": 0.182373046875,
|
| 433 |
+
"eval_runtime": 802.2673,
|
| 434 |
+
"eval_samples_per_second": 4.025,
|
| 435 |
+
"eval_steps_per_second": 0.032,
|
| 436 |
+
"eval_wer": 13.701210559849303,
|
| 437 |
+
"step": 550
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.01,
|
| 441 |
+
"learning_rate": 9.103535353535354e-06,
|
| 442 |
+
"loss": 0.2139,
|
| 443 |
+
"step": 560
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.02,
|
| 447 |
+
"learning_rate": 9.085497835497836e-06,
|
| 448 |
+
"loss": 0.1864,
|
| 449 |
+
"step": 570
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 1.04,
|
| 453 |
+
"learning_rate": 9.067460317460318e-06,
|
| 454 |
+
"loss": 0.1895,
|
| 455 |
+
"step": 580
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 1.06,
|
| 459 |
+
"learning_rate": 9.0494227994228e-06,
|
| 460 |
+
"loss": 0.1839,
|
| 461 |
+
"step": 590
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 1.08,
|
| 465 |
+
"learning_rate": 9.031385281385282e-06,
|
| 466 |
+
"loss": 0.1836,
|
| 467 |
+
"step": 600
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 1.08,
|
| 471 |
+
"eval_loss": 0.1817626953125,
|
| 472 |
+
"eval_runtime": 293.7776,
|
| 473 |
+
"eval_samples_per_second": 10.991,
|
| 474 |
+
"eval_steps_per_second": 0.089,
|
| 475 |
+
"eval_wer": 13.928363666583563,
|
| 476 |
+
"step": 600
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 1.1,
|
| 480 |
+
"learning_rate": 9.013347763347763e-06,
|
| 481 |
+
"loss": 0.185,
|
| 482 |
+
"step": 610
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 1.11,
|
| 486 |
+
"learning_rate": 8.995310245310246e-06,
|
| 487 |
+
"loss": 0.1874,
|
| 488 |
+
"step": 620
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 1.13,
|
| 492 |
+
"learning_rate": 8.977272727272727e-06,
|
| 493 |
+
"loss": 0.1844,
|
| 494 |
+
"step": 630
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.15,
|
| 498 |
+
"learning_rate": 8.95923520923521e-06,
|
| 499 |
+
"loss": 0.1863,
|
| 500 |
+
"step": 640
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.17,
|
| 504 |
+
"learning_rate": 8.941197691197691e-06,
|
| 505 |
+
"loss": 0.1847,
|
| 506 |
+
"step": 650
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.17,
|
| 510 |
+
"eval_loss": 0.181884765625,
|
| 511 |
+
"eval_runtime": 485.4864,
|
| 512 |
+
"eval_samples_per_second": 6.651,
|
| 513 |
+
"eval_steps_per_second": 0.054,
|
| 514 |
+
"eval_wer": 13.595944485996842,
|
| 515 |
+
"step": 650
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 1.18,
|
| 519 |
+
"learning_rate": 8.923160173160174e-06,
|
| 520 |
+
"loss": 0.1773,
|
| 521 |
+
"step": 660
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.2,
|
| 525 |
+
"learning_rate": 8.905122655122655e-06,
|
| 526 |
+
"loss": 0.182,
|
| 527 |
+
"step": 670
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.22,
|
| 531 |
+
"learning_rate": 8.887085137085138e-06,
|
| 532 |
+
"loss": 0.1821,
|
| 533 |
+
"step": 680
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 1.24,
|
| 537 |
+
"learning_rate": 8.869047619047619e-06,
|
| 538 |
+
"loss": 0.1889,
|
| 539 |
+
"step": 690
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.26,
|
| 543 |
+
"learning_rate": 8.851010101010101e-06,
|
| 544 |
+
"loss": 0.1858,
|
| 545 |
+
"step": 700
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.26,
|
| 549 |
+
"eval_loss": 0.1776123046875,
|
| 550 |
+
"eval_runtime": 792.7244,
|
| 551 |
+
"eval_samples_per_second": 4.073,
|
| 552 |
+
"eval_steps_per_second": 0.033,
|
| 553 |
+
"eval_wer": 13.288456743954127,
|
| 554 |
+
"step": 700
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 1.27,
|
| 558 |
+
"learning_rate": 8.832972582972583e-06,
|
| 559 |
+
"loss": 0.1861,
|
| 560 |
+
"step": 710
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.29,
|
| 564 |
+
"learning_rate": 8.814935064935065e-06,
|
| 565 |
+
"loss": 0.1847,
|
| 566 |
+
"step": 720
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.31,
|
| 570 |
+
"learning_rate": 8.796897546897548e-06,
|
| 571 |
+
"loss": 0.1824,
|
| 572 |
+
"step": 730
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 1.33,
|
| 576 |
+
"learning_rate": 8.778860028860031e-06,
|
| 577 |
+
"loss": 0.1746,
|
| 578 |
+
"step": 740
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.35,
|
| 582 |
+
"learning_rate": 8.760822510822512e-06,
|
| 583 |
+
"loss": 0.1812,
|
| 584 |
+
"step": 750
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.35,
|
| 588 |
+
"eval_loss": 0.1759033203125,
|
| 589 |
+
"eval_runtime": 231.4397,
|
| 590 |
+
"eval_samples_per_second": 13.952,
|
| 591 |
+
"eval_steps_per_second": 0.112,
|
| 592 |
+
"eval_wer": 13.360480899747914,
|
| 593 |
+
"step": 750
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.36,
|
| 597 |
+
"learning_rate": 8.742784992784995e-06,
|
| 598 |
+
"loss": 0.1848,
|
| 599 |
+
"step": 760
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 1.38,
|
| 603 |
+
"learning_rate": 8.724747474747476e-06,
|
| 604 |
+
"loss": 0.1828,
|
| 605 |
+
"step": 770
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.4,
|
| 609 |
+
"learning_rate": 8.706709956709959e-06,
|
| 610 |
+
"loss": 0.1794,
|
| 611 |
+
"step": 780
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.42,
|
| 615 |
+
"learning_rate": 8.68867243867244e-06,
|
| 616 |
+
"loss": 0.186,
|
| 617 |
+
"step": 790
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 1.44,
|
| 621 |
+
"learning_rate": 8.670634920634922e-06,
|
| 622 |
+
"loss": 0.1882,
|
| 623 |
+
"step": 800
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 1.44,
|
| 627 |
+
"eval_loss": 0.1741943359375,
|
| 628 |
+
"eval_runtime": 773.8012,
|
| 629 |
+
"eval_samples_per_second": 4.173,
|
| 630 |
+
"eval_steps_per_second": 0.034,
|
| 631 |
+
"eval_wer": 13.269065625086569,
|
| 632 |
+
"step": 800
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.45,
|
| 636 |
+
"learning_rate": 8.652597402597404e-06,
|
| 637 |
+
"loss": 0.1841,
|
| 638 |
+
"step": 810
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 1.47,
|
| 642 |
+
"learning_rate": 8.634559884559886e-06,
|
| 643 |
+
"loss": 0.1811,
|
| 644 |
+
"step": 820
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.49,
|
| 648 |
+
"learning_rate": 8.616522366522367e-06,
|
| 649 |
+
"loss": 0.1834,
|
| 650 |
+
"step": 830
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 1.51,
|
| 654 |
+
"learning_rate": 8.59848484848485e-06,
|
| 655 |
+
"loss": 0.1821,
|
| 656 |
+
"step": 840
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 1.53,
|
| 660 |
+
"learning_rate": 8.580447330447331e-06,
|
| 661 |
+
"loss": 0.1818,
|
| 662 |
+
"step": 850
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.53,
|
| 666 |
+
"eval_loss": 0.1715087890625,
|
| 667 |
+
"eval_runtime": 401.969,
|
| 668 |
+
"eval_samples_per_second": 8.033,
|
| 669 |
+
"eval_steps_per_second": 0.065,
|
| 670 |
+
"eval_wer": 13.318928502174575,
|
| 671 |
+
"step": 850
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 1.54,
|
| 675 |
+
"learning_rate": 8.562409812409814e-06,
|
| 676 |
+
"loss": 0.1813,
|
| 677 |
+
"step": 860
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 1.56,
|
| 681 |
+
"learning_rate": 8.544372294372295e-06,
|
| 682 |
+
"loss": 0.174,
|
| 683 |
+
"step": 870
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 1.58,
|
| 687 |
+
"learning_rate": 8.526334776334778e-06,
|
| 688 |
+
"loss": 0.1768,
|
| 689 |
+
"step": 880
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.6,
|
| 693 |
+
"learning_rate": 8.508297258297259e-06,
|
| 694 |
+
"loss": 0.183,
|
| 695 |
+
"step": 890
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 1.62,
|
| 699 |
+
"learning_rate": 8.49025974025974e-06,
|
| 700 |
+
"loss": 0.1781,
|
| 701 |
+
"step": 900
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 1.62,
|
| 705 |
+
"eval_loss": 0.1710205078125,
|
| 706 |
+
"eval_runtime": 515.2274,
|
| 707 |
+
"eval_samples_per_second": 6.267,
|
| 708 |
+
"eval_steps_per_second": 0.05,
|
| 709 |
+
"eval_wer": 13.213662428322115,
|
| 710 |
+
"step": 900
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.63,
|
| 714 |
+
"learning_rate": 8.472222222222223e-06,
|
| 715 |
+
"loss": 0.1808,
|
| 716 |
+
"step": 910
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 1.65,
|
| 720 |
+
"learning_rate": 8.454184704184704e-06,
|
| 721 |
+
"loss": 0.18,
|
| 722 |
+
"step": 920
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 1.67,
|
| 726 |
+
"learning_rate": 8.436147186147187e-06,
|
| 727 |
+
"loss": 0.1732,
|
| 728 |
+
"step": 930
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 1.69,
|
| 732 |
+
"learning_rate": 8.418109668109668e-06,
|
| 733 |
+
"loss": 0.1716,
|
| 734 |
+
"step": 940
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 1.71,
|
| 738 |
+
"learning_rate": 8.40007215007215e-06,
|
| 739 |
+
"loss": 0.1722,
|
| 740 |
+
"step": 950
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 1.71,
|
| 744 |
+
"eval_loss": 0.1700439453125,
|
| 745 |
+
"eval_runtime": 611.9797,
|
| 746 |
+
"eval_samples_per_second": 5.276,
|
| 747 |
+
"eval_steps_per_second": 0.042,
|
| 748 |
+
"eval_wer": 13.025291559322975,
|
| 749 |
+
"step": 950
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 1.72,
|
| 753 |
+
"learning_rate": 8.382034632034632e-06,
|
| 754 |
+
"loss": 0.1801,
|
| 755 |
+
"step": 960
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 1.74,
|
| 759 |
+
"learning_rate": 8.363997113997114e-06,
|
| 760 |
+
"loss": 0.1735,
|
| 761 |
+
"step": 970
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 1.76,
|
| 765 |
+
"learning_rate": 8.345959595959595e-06,
|
| 766 |
+
"loss": 0.1731,
|
| 767 |
+
"step": 980
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 1.78,
|
| 771 |
+
"learning_rate": 8.327922077922078e-06,
|
| 772 |
+
"loss": 0.1759,
|
| 773 |
+
"step": 990
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.8,
|
| 777 |
+
"learning_rate": 8.30988455988456e-06,
|
| 778 |
+
"loss": 0.1819,
|
| 779 |
+
"step": 1000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 1.8,
|
| 783 |
+
"eval_loss": 0.1678466796875,
|
| 784 |
+
"eval_runtime": 232.5897,
|
| 785 |
+
"eval_samples_per_second": 13.883,
|
| 786 |
+
"eval_steps_per_second": 0.112,
|
| 787 |
+
"eval_wer": 13.080694756087427,
|
| 788 |
+
"step": 1000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 1.81,
|
| 792 |
+
"learning_rate": 8.291847041847042e-06,
|
| 793 |
+
"loss": 0.1723,
|
| 794 |
+
"step": 1010
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.83,
|
| 798 |
+
"learning_rate": 8.273809523809523e-06,
|
| 799 |
+
"loss": 0.1765,
|
| 800 |
+
"step": 1020
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 1.85,
|
| 804 |
+
"learning_rate": 8.255772005772008e-06,
|
| 805 |
+
"loss": 0.1756,
|
| 806 |
+
"step": 1030
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 1.87,
|
| 810 |
+
"learning_rate": 8.237734487734489e-06,
|
| 811 |
+
"loss": 0.168,
|
| 812 |
+
"step": 1040
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 1.89,
|
| 816 |
+
"learning_rate": 8.219696969696971e-06,
|
| 817 |
+
"loss": 0.182,
|
| 818 |
+
"step": 1050
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 1.89,
|
| 822 |
+
"eval_loss": 0.165771484375,
|
| 823 |
+
"eval_runtime": 744.0885,
|
| 824 |
+
"eval_samples_per_second": 4.34,
|
| 825 |
+
"eval_steps_per_second": 0.035,
|
| 826 |
+
"eval_wer": 12.629158702457133,
|
| 827 |
+
"step": 1050
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 1.9,
|
| 831 |
+
"learning_rate": 8.201659451659453e-06,
|
| 832 |
+
"loss": 0.1751,
|
| 833 |
+
"step": 1060
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 1.92,
|
| 837 |
+
"learning_rate": 8.183621933621935e-06,
|
| 838 |
+
"loss": 0.1749,
|
| 839 |
+
"step": 1070
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 1.94,
|
| 843 |
+
"learning_rate": 8.165584415584416e-06,
|
| 844 |
+
"loss": 0.178,
|
| 845 |
+
"step": 1080
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 1.96,
|
| 849 |
+
"learning_rate": 8.1475468975469e-06,
|
| 850 |
+
"loss": 0.1721,
|
| 851 |
+
"step": 1090
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 1.97,
|
| 855 |
+
"learning_rate": 8.12950937950938e-06,
|
| 856 |
+
"loss": 0.1703,
|
| 857 |
+
"step": 1100
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.97,
|
| 861 |
+
"eval_loss": 0.1663818359375,
|
| 862 |
+
"eval_runtime": 637.9066,
|
| 863 |
+
"eval_samples_per_second": 5.062,
|
| 864 |
+
"eval_steps_per_second": 0.041,
|
| 865 |
+
"eval_wer": 12.734424776309595,
|
| 866 |
+
"step": 1100
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 1.99,
|
| 870 |
+
"learning_rate": 8.111471861471863e-06,
|
| 871 |
+
"loss": 0.1663,
|
| 872 |
+
"step": 1110
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.01,
|
| 876 |
+
"learning_rate": 8.093434343434344e-06,
|
| 877 |
+
"loss": 0.1534,
|
| 878 |
+
"step": 1120
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.03,
|
| 882 |
+
"learning_rate": 8.075396825396827e-06,
|
| 883 |
+
"loss": 0.1412,
|
| 884 |
+
"step": 1130
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.05,
|
| 888 |
+
"learning_rate": 8.057359307359308e-06,
|
| 889 |
+
"loss": 0.143,
|
| 890 |
+
"step": 1140
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 2.06,
|
| 894 |
+
"learning_rate": 8.03932178932179e-06,
|
| 895 |
+
"loss": 0.1354,
|
| 896 |
+
"step": 1150
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 2.06,
|
| 900 |
+
"eval_loss": 0.16845703125,
|
| 901 |
+
"eval_runtime": 260.6549,
|
| 902 |
+
"eval_samples_per_second": 12.388,
|
| 903 |
+
"eval_steps_per_second": 0.1,
|
| 904 |
+
"eval_wer": 12.975428682234966,
|
| 905 |
+
"step": 1150
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 2.08,
|
| 909 |
+
"learning_rate": 8.021284271284272e-06,
|
| 910 |
+
"loss": 0.1394,
|
| 911 |
+
"step": 1160
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 2.1,
|
| 915 |
+
"learning_rate": 8.003246753246755e-06,
|
| 916 |
+
"loss": 0.1395,
|
| 917 |
+
"step": 1170
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 2.12,
|
| 921 |
+
"learning_rate": 7.985209235209236e-06,
|
| 922 |
+
"loss": 0.1343,
|
| 923 |
+
"step": 1180
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 2.14,
|
| 927 |
+
"learning_rate": 7.967171717171718e-06,
|
| 928 |
+
"loss": 0.1452,
|
| 929 |
+
"step": 1190
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 2.15,
|
| 933 |
+
"learning_rate": 7.9491341991342e-06,
|
| 934 |
+
"loss": 0.1426,
|
| 935 |
+
"step": 1200
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 2.15,
|
| 939 |
+
"eval_loss": 0.16943359375,
|
| 940 |
+
"eval_runtime": 653.3444,
|
| 941 |
+
"eval_samples_per_second": 4.942,
|
| 942 |
+
"eval_steps_per_second": 0.04,
|
| 943 |
+
"eval_wer": 12.587606304883792,
|
| 944 |
+
"step": 1200
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 2.17,
|
| 948 |
+
"learning_rate": 7.931096681096682e-06,
|
| 949 |
+
"loss": 0.1394,
|
| 950 |
+
"step": 1210
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 2.19,
|
| 954 |
+
"learning_rate": 7.913059163059163e-06,
|
| 955 |
+
"loss": 0.1367,
|
| 956 |
+
"step": 1220
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.21,
|
| 960 |
+
"learning_rate": 7.895021645021646e-06,
|
| 961 |
+
"loss": 0.1424,
|
| 962 |
+
"step": 1230
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 2.23,
|
| 966 |
+
"learning_rate": 7.876984126984127e-06,
|
| 967 |
+
"loss": 0.1377,
|
| 968 |
+
"step": 1240
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.24,
|
| 972 |
+
"learning_rate": 7.85894660894661e-06,
|
| 973 |
+
"loss": 0.1414,
|
| 974 |
+
"step": 1250
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 2.24,
|
| 978 |
+
"eval_loss": 0.1707763671875,
|
| 979 |
+
"eval_runtime": 512.911,
|
| 980 |
+
"eval_samples_per_second": 6.295,
|
| 981 |
+
"eval_steps_per_second": 0.051,
|
| 982 |
+
"eval_wer": 12.559904706501564,
|
| 983 |
+
"step": 1250
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 2.26,
|
| 987 |
+
"learning_rate": 7.840909090909091e-06,
|
| 988 |
+
"loss": 0.1473,
|
| 989 |
+
"step": 1260
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 2.28,
|
| 993 |
+
"learning_rate": 7.822871572871574e-06,
|
| 994 |
+
"loss": 0.1391,
|
| 995 |
+
"step": 1270
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 2.3,
|
| 999 |
+
"learning_rate": 7.804834054834055e-06,
|
| 1000 |
+
"loss": 0.1412,
|
| 1001 |
+
"step": 1280
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 2.32,
|
| 1005 |
+
"learning_rate": 7.786796536796538e-06,
|
| 1006 |
+
"loss": 0.1416,
|
| 1007 |
+
"step": 1290
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 2.33,
|
| 1011 |
+
"learning_rate": 7.768759018759019e-06,
|
| 1012 |
+
"loss": 0.1404,
|
| 1013 |
+
"step": 1300
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 2.33,
|
| 1017 |
+
"eval_loss": 0.1689453125,
|
| 1018 |
+
"eval_runtime": 426.0802,
|
| 1019 |
+
"eval_samples_per_second": 7.578,
|
| 1020 |
+
"eval_steps_per_second": 0.061,
|
| 1021 |
+
"eval_wer": 12.6374691819718,
|
| 1022 |
+
"step": 1300
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 2.35,
|
| 1026 |
+
"learning_rate": 7.750721500721502e-06,
|
| 1027 |
+
"loss": 0.1437,
|
| 1028 |
+
"step": 1310
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 2.37,
|
| 1032 |
+
"learning_rate": 7.732683982683983e-06,
|
| 1033 |
+
"loss": 0.1417,
|
| 1034 |
+
"step": 1320
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 2.39,
|
| 1038 |
+
"learning_rate": 7.714646464646465e-06,
|
| 1039 |
+
"loss": 0.1438,
|
| 1040 |
+
"step": 1330
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.41,
|
| 1044 |
+
"learning_rate": 7.696608946608948e-06,
|
| 1045 |
+
"loss": 0.1423,
|
| 1046 |
+
"step": 1340
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.42,
|
| 1050 |
+
"learning_rate": 7.67857142857143e-06,
|
| 1051 |
+
"loss": 0.1379,
|
| 1052 |
+
"step": 1350
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 2.42,
|
| 1056 |
+
"eval_loss": 0.1676025390625,
|
| 1057 |
+
"eval_runtime": 721.7662,
|
| 1058 |
+
"eval_samples_per_second": 4.474,
|
| 1059 |
+
"eval_steps_per_second": 0.036,
|
| 1060 |
+
"eval_wer": 12.914485165794066,
|
| 1061 |
+
"step": 1350
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 2.44,
|
| 1065 |
+
"learning_rate": 7.660533910533912e-06,
|
| 1066 |
+
"loss": 0.1382,
|
| 1067 |
+
"step": 1360
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 2.46,
|
| 1071 |
+
"learning_rate": 7.642496392496393e-06,
|
| 1072 |
+
"loss": 0.1383,
|
| 1073 |
+
"step": 1370
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 2.48,
|
| 1077 |
+
"learning_rate": 7.624458874458875e-06,
|
| 1078 |
+
"loss": 0.1412,
|
| 1079 |
+
"step": 1380
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 2.5,
|
| 1083 |
+
"learning_rate": 7.606421356421357e-06,
|
| 1084 |
+
"loss": 0.1416,
|
| 1085 |
+
"step": 1390
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 2.51,
|
| 1089 |
+
"learning_rate": 7.588383838383839e-06,
|
| 1090 |
+
"loss": 0.1358,
|
| 1091 |
+
"step": 1400
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 2.51,
|
| 1095 |
+
"eval_loss": 0.168212890625,
|
| 1096 |
+
"eval_runtime": 238.5103,
|
| 1097 |
+
"eval_samples_per_second": 13.538,
|
| 1098 |
+
"eval_steps_per_second": 0.109,
|
| 1099 |
+
"eval_wer": 12.61807806310424,
|
| 1100 |
+
"step": 1400
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 2.53,
|
| 1104 |
+
"learning_rate": 7.570346320346321e-06,
|
| 1105 |
+
"loss": 0.1419,
|
| 1106 |
+
"step": 1410
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 2.55,
|
| 1110 |
+
"learning_rate": 7.552308802308803e-06,
|
| 1111 |
+
"loss": 0.1375,
|
| 1112 |
+
"step": 1420
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 2.57,
|
| 1116 |
+
"learning_rate": 7.534271284271285e-06,
|
| 1117 |
+
"loss": 0.1393,
|
| 1118 |
+
"step": 1430
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 2.59,
|
| 1122 |
+
"learning_rate": 7.516233766233767e-06,
|
| 1123 |
+
"loss": 0.141,
|
| 1124 |
+
"step": 1440
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.6,
|
| 1128 |
+
"learning_rate": 7.498196248196249e-06,
|
| 1129 |
+
"loss": 0.1409,
|
| 1130 |
+
"step": 1450
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 2.6,
|
| 1134 |
+
"eval_loss": 0.167724609375,
|
| 1135 |
+
"eval_runtime": 738.5382,
|
| 1136 |
+
"eval_samples_per_second": 4.372,
|
| 1137 |
+
"eval_steps_per_second": 0.035,
|
| 1138 |
+
"eval_wer": 12.651319981162912,
|
| 1139 |
+
"step": 1450
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 2.62,
|
| 1143 |
+
"learning_rate": 7.4801587301587306e-06,
|
| 1144 |
+
"loss": 0.1456,
|
| 1145 |
+
"step": 1460
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 2.64,
|
| 1149 |
+
"learning_rate": 7.4621212121212125e-06,
|
| 1150 |
+
"loss": 0.1425,
|
| 1151 |
+
"step": 1470
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 2.66,
|
| 1155 |
+
"learning_rate": 7.444083694083694e-06,
|
| 1156 |
+
"loss": 0.1421,
|
| 1157 |
+
"step": 1480
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 2.68,
|
| 1161 |
+
"learning_rate": 7.426046176046176e-06,
|
| 1162 |
+
"loss": 0.1383,
|
| 1163 |
+
"step": 1490
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 2.69,
|
| 1167 |
+
"learning_rate": 7.408008658008658e-06,
|
| 1168 |
+
"loss": 0.1423,
|
| 1169 |
+
"step": 1500
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 2.69,
|
| 1173 |
+
"eval_loss": 0.16552734375,
|
| 1174 |
+
"eval_runtime": 539.6646,
|
| 1175 |
+
"eval_samples_per_second": 5.983,
|
| 1176 |
+
"eval_steps_per_second": 0.048,
|
| 1177 |
+
"eval_wer": 12.6374691819718,
|
| 1178 |
+
"step": 1500
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 2.71,
|
| 1182 |
+
"learning_rate": 7.38997113997114e-06,
|
| 1183 |
+
"loss": 0.1443,
|
| 1184 |
+
"step": 1510
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 2.73,
|
| 1188 |
+
"learning_rate": 7.371933621933622e-06,
|
| 1189 |
+
"loss": 0.1395,
|
| 1190 |
+
"step": 1520
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 2.75,
|
| 1194 |
+
"learning_rate": 7.353896103896104e-06,
|
| 1195 |
+
"loss": 0.143,
|
| 1196 |
+
"step": 1530
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 2.76,
|
| 1200 |
+
"learning_rate": 7.335858585858586e-06,
|
| 1201 |
+
"loss": 0.1423,
|
| 1202 |
+
"step": 1540
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 2.78,
|
| 1206 |
+
"learning_rate": 7.317821067821068e-06,
|
| 1207 |
+
"loss": 0.1372,
|
| 1208 |
+
"step": 1550
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.78,
|
| 1212 |
+
"eval_loss": 0.16650390625,
|
| 1213 |
+
"eval_runtime": 445.0527,
|
| 1214 |
+
"eval_samples_per_second": 7.255,
|
| 1215 |
+
"eval_steps_per_second": 0.058,
|
| 1216 |
+
"eval_wer": 12.587606304883792,
|
| 1217 |
+
"step": 1550
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 2.8,
|
| 1221 |
+
"learning_rate": 7.29978354978355e-06,
|
| 1222 |
+
"loss": 0.1383,
|
| 1223 |
+
"step": 1560
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 2.82,
|
| 1227 |
+
"learning_rate": 7.281746031746032e-06,
|
| 1228 |
+
"loss": 0.135,
|
| 1229 |
+
"step": 1570
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 2.84,
|
| 1233 |
+
"learning_rate": 7.263708513708514e-06,
|
| 1234 |
+
"loss": 0.1356,
|
| 1235 |
+
"step": 1580
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 2.85,
|
| 1239 |
+
"learning_rate": 7.245670995670996e-06,
|
| 1240 |
+
"loss": 0.1374,
|
| 1241 |
+
"step": 1590
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 2.87,
|
| 1245 |
+
"learning_rate": 7.2276334776334776e-06,
|
| 1246 |
+
"loss": 0.1372,
|
| 1247 |
+
"step": 1600
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 2.87,
|
| 1251 |
+
"eval_loss": 0.16552734375,
|
| 1252 |
+
"eval_runtime": 734.4433,
|
| 1253 |
+
"eval_samples_per_second": 4.397,
|
| 1254 |
+
"eval_steps_per_second": 0.035,
|
| 1255 |
+
"eval_wer": 12.507271669575335,
|
| 1256 |
+
"step": 1600
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 2.89,
|
| 1260 |
+
"learning_rate": 7.2095959595959595e-06,
|
| 1261 |
+
"loss": 0.1394,
|
| 1262 |
+
"step": 1610
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 2.91,
|
| 1266 |
+
"learning_rate": 7.191558441558441e-06,
|
| 1267 |
+
"loss": 0.1451,
|
| 1268 |
+
"step": 1620
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 2.93,
|
| 1272 |
+
"learning_rate": 7.173520923520925e-06,
|
| 1273 |
+
"loss": 0.1408,
|
| 1274 |
+
"step": 1630
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 2.94,
|
| 1278 |
+
"learning_rate": 7.155483405483407e-06,
|
| 1279 |
+
"loss": 0.1419,
|
| 1280 |
+
"step": 1640
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 2.96,
|
| 1284 |
+
"learning_rate": 7.137445887445889e-06,
|
| 1285 |
+
"loss": 0.1422,
|
| 1286 |
+
"step": 1650
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 2.96,
|
| 1290 |
+
"eval_loss": 0.1640625,
|
| 1291 |
+
"eval_runtime": 304.9057,
|
| 1292 |
+
"eval_samples_per_second": 10.59,
|
| 1293 |
+
"eval_steps_per_second": 0.085,
|
| 1294 |
+
"eval_wer": 12.174852488988614,
|
| 1295 |
+
"step": 1650
|
| 1296 |
+
}
|
| 1297 |
+
],
|
| 1298 |
+
"max_steps": 5600,
|
| 1299 |
+
"num_train_epochs": 11,
|
| 1300 |
+
"total_flos": 4.310300337493057e+20,
|
| 1301 |
+
"trial_name": null,
|
| 1302 |
+
"trial_params": null
|
| 1303 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:83a6b9859379563ad388195ecdf71bd9e9e6ff6ff001c4f7a787d77677b7a554
|
| 3 |
+
size 4859
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
zero_to_fp32.py
ADDED
|
@@ -0,0 +1,482 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# This script extracts fp32 consolidated weights from a zero 2 and 3 DeepSpeed checkpoints. It gets
|
| 4 |
+
# copied into the top level checkpoint dir, so the user can easily do the conversion at any point in
|
| 5 |
+
# the future. Once extracted, the weights don't require DeepSpeed and can be used in any
|
| 6 |
+
# application.
|
| 7 |
+
#
|
| 8 |
+
# example: python zero_to_fp32.py . pytorch_model.bin
|
| 9 |
+
|
| 10 |
+
import argparse
|
| 11 |
+
import torch
|
| 12 |
+
import glob
|
| 13 |
+
import math
|
| 14 |
+
import os
|
| 15 |
+
import re
|
| 16 |
+
from collections import OrderedDict
|
| 17 |
+
|
| 18 |
+
# while this script doesn't use deepspeed to recover data, since the checkpoints are pickled with
|
| 19 |
+
# DeepSpeed data structures it has to be available in the current python environment.
|
| 20 |
+
from deepspeed.utils import logger
|
| 21 |
+
from deepspeed.checkpoint.constants import (DS_VERSION,
|
| 22 |
+
OPTIMIZER_STATE_DICT,
|
| 23 |
+
SINGLE_PARTITION_OF_FP32_GROUPS,
|
| 24 |
+
FP32_FLAT_GROUPS,
|
| 25 |
+
ZERO_STAGE,
|
| 26 |
+
PARTITION_COUNT,
|
| 27 |
+
PARAM_SHAPES,
|
| 28 |
+
BUFFER_NAMES)
|
| 29 |
+
|
| 30 |
+
debug = 0
|
| 31 |
+
|
| 32 |
+
# load to cpu
|
| 33 |
+
device = torch.device('cpu')
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
def atoi(text):
|
| 37 |
+
return int(text) if text.isdigit() else text
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
def natural_keys(text):
|
| 41 |
+
'''
|
| 42 |
+
alist.sort(key=natural_keys) sorts in human order
|
| 43 |
+
http://nedbatchelder.com/blog/200712/human_sorting.html
|
| 44 |
+
(See Toothy's implementation in the comments)
|
| 45 |
+
'''
|
| 46 |
+
return [atoi(c) for c in re.split(r'(\d+)', text)]
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
def get_model_state_file(checkpoint_dir, zero_stage):
|
| 50 |
+
if not os.path.isdir(checkpoint_dir):
|
| 51 |
+
raise FileNotFoundError(f"Directory '{checkpoint_dir}' doesn't exist")
|
| 52 |
+
|
| 53 |
+
# there should be only one file
|
| 54 |
+
if zero_stage == 2:
|
| 55 |
+
file = os.path.join(checkpoint_dir, "mp_rank_00_model_states.pt")
|
| 56 |
+
elif zero_stage == 3:
|
| 57 |
+
file = os.path.join(checkpoint_dir, "zero_pp_rank_0_mp_rank_00_model_states.pt")
|
| 58 |
+
|
| 59 |
+
if not os.path.exists(file):
|
| 60 |
+
raise FileNotFoundError(f"can't find model states file at '{file}'")
|
| 61 |
+
|
| 62 |
+
return file
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
def get_optim_files(checkpoint_dir):
|
| 66 |
+
# XXX: need to test that this simple glob rule works for multi-node setup too
|
| 67 |
+
optim_files = sorted(glob.glob(os.path.join(checkpoint_dir,
|
| 68 |
+
"*_optim_states.pt")),
|
| 69 |
+
key=natural_keys)
|
| 70 |
+
|
| 71 |
+
if len(optim_files) == 0:
|
| 72 |
+
raise FileNotFoundError(
|
| 73 |
+
f"can't find '*_optim_states.pt' files in directory '{checkpoint_dir}'")
|
| 74 |
+
|
| 75 |
+
return optim_files
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
def parse_model_state(file):
|
| 79 |
+
state_dict = torch.load(file, map_location=device)
|
| 80 |
+
|
| 81 |
+
if BUFFER_NAMES not in state_dict:
|
| 82 |
+
raise ValueError(f"{file} is not a model state checkpoint")
|
| 83 |
+
buffer_names = state_dict[BUFFER_NAMES]
|
| 84 |
+
if debug:
|
| 85 |
+
print("Found buffers:", buffer_names)
|
| 86 |
+
|
| 87 |
+
# recover just the buffers while restoring them to fp32 if they were saved in fp16
|
| 88 |
+
buffers = {
|
| 89 |
+
k: v.float()
|
| 90 |
+
for k,
|
| 91 |
+
v in state_dict["module"].items() if k in buffer_names
|
| 92 |
+
}
|
| 93 |
+
param_shapes = state_dict[PARAM_SHAPES]
|
| 94 |
+
|
| 95 |
+
ds_version = state_dict.get(DS_VERSION, None)
|
| 96 |
+
|
| 97 |
+
return buffers, param_shapes, ds_version
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
def parse_optim_states(files, ds_checkpoint_dir):
|
| 101 |
+
|
| 102 |
+
total_files = len(files)
|
| 103 |
+
state_dicts = []
|
| 104 |
+
for f in files:
|
| 105 |
+
state_dicts.append(torch.load(f, map_location=device))
|
| 106 |
+
|
| 107 |
+
if not ZERO_STAGE in state_dicts[0][OPTIMIZER_STATE_DICT]:
|
| 108 |
+
raise ValueError(f"{files[0]} is not a zero checkpoint")
|
| 109 |
+
zero_stage = state_dicts[0][OPTIMIZER_STATE_DICT][ZERO_STAGE]
|
| 110 |
+
world_size = state_dicts[0][OPTIMIZER_STATE_DICT][PARTITION_COUNT]
|
| 111 |
+
|
| 112 |
+
# For ZeRO-2 each param group can have different partition_count as data parallelism for expert
|
| 113 |
+
# parameters can be different from data parallelism for non-expert parameters. So we can just
|
| 114 |
+
# use the max of the partition_count to get the dp world_size.
|
| 115 |
+
|
| 116 |
+
if type(world_size) is list:
|
| 117 |
+
world_size = max(world_size)
|
| 118 |
+
|
| 119 |
+
if world_size != total_files:
|
| 120 |
+
raise ValueError(
|
| 121 |
+
f"Expected {world_size} of '*_optim_states.pt' under '{ds_checkpoint_dir}' but found {total_files} files. "
|
| 122 |
+
"Possibly due to an overwrite of an old checkpoint, or a checkpoint didn't get saved by one or more processes."
|
| 123 |
+
)
|
| 124 |
+
|
| 125 |
+
# the groups are named differently in each stage
|
| 126 |
+
if zero_stage == 2:
|
| 127 |
+
fp32_groups_key = SINGLE_PARTITION_OF_FP32_GROUPS
|
| 128 |
+
elif zero_stage == 3:
|
| 129 |
+
fp32_groups_key = FP32_FLAT_GROUPS
|
| 130 |
+
else:
|
| 131 |
+
raise ValueError(f"unknown zero stage {zero_stage}")
|
| 132 |
+
|
| 133 |
+
if zero_stage == 2:
|
| 134 |
+
fp32_flat_groups = [
|
| 135 |
+
state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key]
|
| 136 |
+
for i in range(len(state_dicts))
|
| 137 |
+
]
|
| 138 |
+
elif zero_stage == 3:
|
| 139 |
+
# if there is more than one param group, there will be multiple flattened tensors - one
|
| 140 |
+
# flattened tensor per group - for simplicity merge them into a single tensor
|
| 141 |
+
#
|
| 142 |
+
# XXX: could make the script more memory efficient for when there are multiple groups - it
|
| 143 |
+
# will require matching the sub-lists of param_shapes for each param group flattened tensor
|
| 144 |
+
|
| 145 |
+
fp32_flat_groups = [
|
| 146 |
+
torch.cat(state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key],
|
| 147 |
+
0) for i in range(len(state_dicts))
|
| 148 |
+
]
|
| 149 |
+
|
| 150 |
+
return zero_stage, world_size, fp32_flat_groups
|
| 151 |
+
|
| 152 |
+
|
| 153 |
+
def _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir):
|
| 154 |
+
"""
|
| 155 |
+
Returns fp32 state_dict reconstructed from ds checkpoint
|
| 156 |
+
|
| 157 |
+
Args:
|
| 158 |
+
- ``ds_checkpoint_dir``: path to the deepspeed checkpoint folder (where the optimizer files are)
|
| 159 |
+
|
| 160 |
+
"""
|
| 161 |
+
print(f"Processing zero checkpoint '{ds_checkpoint_dir}'")
|
| 162 |
+
|
| 163 |
+
optim_files = get_optim_files(ds_checkpoint_dir)
|
| 164 |
+
zero_stage, world_size, fp32_flat_groups = parse_optim_states(optim_files, ds_checkpoint_dir)
|
| 165 |
+
print(
|
| 166 |
+
f"Detected checkpoint of type zero stage {zero_stage}, world_size: {world_size}")
|
| 167 |
+
|
| 168 |
+
model_file = get_model_state_file(ds_checkpoint_dir, zero_stage)
|
| 169 |
+
buffers, param_shapes, ds_version = parse_model_state(model_file)
|
| 170 |
+
print(f'Parsing checkpoint created by deepspeed=={ds_version}')
|
| 171 |
+
|
| 172 |
+
if zero_stage == 2:
|
| 173 |
+
return _get_fp32_state_dict_from_zero2_checkpoint(world_size,
|
| 174 |
+
param_shapes,
|
| 175 |
+
fp32_flat_groups,
|
| 176 |
+
buffers)
|
| 177 |
+
elif zero_stage == 3:
|
| 178 |
+
return _get_fp32_state_dict_from_zero3_checkpoint(world_size,
|
| 179 |
+
param_shapes,
|
| 180 |
+
fp32_flat_groups,
|
| 181 |
+
buffers)
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
def _get_fp32_state_dict_from_zero2_checkpoint(world_size,
|
| 185 |
+
param_shapes,
|
| 186 |
+
fp32_flat_groups,
|
| 187 |
+
buffers):
|
| 188 |
+
|
| 189 |
+
# Reconstruction protocol:
|
| 190 |
+
#
|
| 191 |
+
# XXX: document this
|
| 192 |
+
|
| 193 |
+
if debug:
|
| 194 |
+
for i in range(world_size):
|
| 195 |
+
for j in range(len(fp32_flat_groups[0])):
|
| 196 |
+
print(
|
| 197 |
+
f"{FP32_FLAT_GROUPS}[{i}][{j}].shape={fp32_flat_groups[i][j].shape}")
|
| 198 |
+
|
| 199 |
+
# XXX: memory usage doubles here (zero2)
|
| 200 |
+
num_param_groups = len(fp32_flat_groups[0])
|
| 201 |
+
merged_single_partition_of_fp32_groups = []
|
| 202 |
+
for i in range(num_param_groups):
|
| 203 |
+
merged_partitions = [sd[i] for sd in fp32_flat_groups]
|
| 204 |
+
full_single_fp32_vector = torch.cat(merged_partitions, 0)
|
| 205 |
+
merged_single_partition_of_fp32_groups.append(full_single_fp32_vector)
|
| 206 |
+
avail_numel = sum([
|
| 207 |
+
full_single_fp32_vector.numel()
|
| 208 |
+
for full_single_fp32_vector in merged_single_partition_of_fp32_groups
|
| 209 |
+
])
|
| 210 |
+
|
| 211 |
+
if debug:
|
| 212 |
+
wanted_params = sum([len(shapes) for shapes in param_shapes])
|
| 213 |
+
wanted_numel = sum(
|
| 214 |
+
[sum(shape.numel() for shape in shapes.values()) for shapes in param_shapes])
|
| 215 |
+
# not asserting if there is a mismatch due to possible padding
|
| 216 |
+
print(f"Have {avail_numel} numels to process.")
|
| 217 |
+
print(f"Need {wanted_numel} numels in {wanted_params} params.")
|
| 218 |
+
|
| 219 |
+
state_dict = OrderedDict()
|
| 220 |
+
|
| 221 |
+
# buffers
|
| 222 |
+
state_dict.update(buffers)
|
| 223 |
+
if debug:
|
| 224 |
+
print(f"added {len(buffers)} buffers")
|
| 225 |
+
|
| 226 |
+
# params
|
| 227 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
| 228 |
+
# out-of-core computing solution
|
| 229 |
+
total_numel = 0
|
| 230 |
+
total_params = 0
|
| 231 |
+
for shapes, full_single_fp32_vector in zip(param_shapes, merged_single_partition_of_fp32_groups):
|
| 232 |
+
offset = 0
|
| 233 |
+
avail_numel = full_single_fp32_vector.numel()
|
| 234 |
+
for name, shape in shapes.items():
|
| 235 |
+
|
| 236 |
+
unpartitioned_numel = shape.numel()
|
| 237 |
+
total_numel += unpartitioned_numel
|
| 238 |
+
total_params += 1
|
| 239 |
+
|
| 240 |
+
if debug:
|
| 241 |
+
print(
|
| 242 |
+
f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} "
|
| 243 |
+
)
|
| 244 |
+
state_dict[name] = full_single_fp32_vector.narrow(
|
| 245 |
+
0,
|
| 246 |
+
offset,
|
| 247 |
+
unpartitioned_numel).view(shape)
|
| 248 |
+
offset += unpartitioned_numel
|
| 249 |
+
|
| 250 |
+
# Z2 started to align to 2*world_size to improve nccl performance. Therefore both offset and
|
| 251 |
+
# avail_numel can differ by anywhere between 0..2*world_size. Due to two unrelated complex
|
| 252 |
+
# paddings performed in the code it's almost impossible to predict the exact numbers w/o the
|
| 253 |
+
# live optimizer object, so we are checking that the numbers are within the right range
|
| 254 |
+
align_to = 2 * world_size
|
| 255 |
+
|
| 256 |
+
def zero2_align(x):
|
| 257 |
+
return align_to * math.ceil(x / align_to)
|
| 258 |
+
|
| 259 |
+
if debug:
|
| 260 |
+
print(f"original offset={offset}, avail_numel={avail_numel}")
|
| 261 |
+
|
| 262 |
+
offset = zero2_align(offset)
|
| 263 |
+
avail_numel = zero2_align(avail_numel)
|
| 264 |
+
|
| 265 |
+
if debug:
|
| 266 |
+
print(f"aligned offset={offset}, avail_numel={avail_numel}")
|
| 267 |
+
|
| 268 |
+
# Sanity check
|
| 269 |
+
if offset != avail_numel:
|
| 270 |
+
raise ValueError(
|
| 271 |
+
f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
| 272 |
+
|
| 273 |
+
print(
|
| 274 |
+
f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements"
|
| 275 |
+
)
|
| 276 |
+
|
| 277 |
+
return state_dict
|
| 278 |
+
|
| 279 |
+
|
| 280 |
+
def zero3_partitioned_param_info(unpartitioned_numel, world_size):
|
| 281 |
+
remainder = unpartitioned_numel % world_size
|
| 282 |
+
padding_numel = (world_size - remainder) if remainder else 0
|
| 283 |
+
partitioned_numel = math.ceil(unpartitioned_numel / world_size)
|
| 284 |
+
return partitioned_numel, padding_numel
|
| 285 |
+
|
| 286 |
+
|
| 287 |
+
def _get_fp32_state_dict_from_zero3_checkpoint(world_size,
|
| 288 |
+
param_shapes,
|
| 289 |
+
fp32_flat_groups,
|
| 290 |
+
buffers):
|
| 291 |
+
|
| 292 |
+
# Reconstruction protocol: For zero3 we need to zip the partitions together at boundary of each
|
| 293 |
+
# param, re-consolidating each param, while dealing with padding if any
|
| 294 |
+
|
| 295 |
+
avail_numel = fp32_flat_groups[0].numel() * world_size
|
| 296 |
+
# merge list of dicts, preserving order
|
| 297 |
+
param_shapes = {k: v for d in param_shapes for k, v in d.items()}
|
| 298 |
+
|
| 299 |
+
if debug:
|
| 300 |
+
for i in range(world_size):
|
| 301 |
+
print(f"{FP32_FLAT_GROUPS}[{i}].shape={fp32_flat_groups[i].shape}")
|
| 302 |
+
|
| 303 |
+
wanted_params = len(param_shapes)
|
| 304 |
+
wanted_numel = sum(shape.numel() for shape in param_shapes.values())
|
| 305 |
+
# not asserting if there is a mismatch due to possible padding
|
| 306 |
+
print(f"Have {avail_numel} numels to process.")
|
| 307 |
+
print(f"Need {wanted_numel} numels in {wanted_params} params.")
|
| 308 |
+
|
| 309 |
+
state_dict = OrderedDict()
|
| 310 |
+
|
| 311 |
+
# buffers
|
| 312 |
+
state_dict.update(buffers)
|
| 313 |
+
if debug:
|
| 314 |
+
print(f"added {len(buffers)} buffers")
|
| 315 |
+
|
| 316 |
+
# params
|
| 317 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
| 318 |
+
# out-of-core computing solution
|
| 319 |
+
offset = 0
|
| 320 |
+
total_numel = 0
|
| 321 |
+
total_params = 0
|
| 322 |
+
for name, shape in param_shapes.items():
|
| 323 |
+
|
| 324 |
+
unpartitioned_numel = shape.numel()
|
| 325 |
+
total_numel += unpartitioned_numel
|
| 326 |
+
total_params += 1
|
| 327 |
+
|
| 328 |
+
partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
|
| 329 |
+
|
| 330 |
+
if debug:
|
| 331 |
+
print(
|
| 332 |
+
f"{total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
|
| 333 |
+
)
|
| 334 |
+
|
| 335 |
+
# XXX: memory usage doubles here
|
| 336 |
+
state_dict[name] = torch.cat(
|
| 337 |
+
tuple(fp32_flat_groups[i].narrow(0,
|
| 338 |
+
offset,
|
| 339 |
+
partitioned_numel)
|
| 340 |
+
for i in range(world_size)),
|
| 341 |
+
0).narrow(0,
|
| 342 |
+
0,
|
| 343 |
+
unpartitioned_numel).view(shape)
|
| 344 |
+
offset += partitioned_numel
|
| 345 |
+
|
| 346 |
+
offset *= world_size
|
| 347 |
+
|
| 348 |
+
# Sanity check
|
| 349 |
+
if offset != avail_numel:
|
| 350 |
+
raise ValueError(
|
| 351 |
+
f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
| 352 |
+
|
| 353 |
+
print(
|
| 354 |
+
f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements"
|
| 355 |
+
)
|
| 356 |
+
|
| 357 |
+
return state_dict
|
| 358 |
+
|
| 359 |
+
|
| 360 |
+
def get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag=None):
|
| 361 |
+
"""
|
| 362 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated state_dict that can be loaded with
|
| 363 |
+
``load_state_dict()`` and used for training without DeepSpeed or shared with others, for example
|
| 364 |
+
via a model hub.
|
| 365 |
+
|
| 366 |
+
Args:
|
| 367 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder
|
| 368 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in 'latest' file. e.g., ``global_step14``
|
| 369 |
+
|
| 370 |
+
Returns:
|
| 371 |
+
- pytorch ``state_dict``
|
| 372 |
+
|
| 373 |
+
Note: this approach may not work if your application doesn't have sufficient free CPU memory and
|
| 374 |
+
you may need to use the offline approach using the ``zero_to_fp32.py`` script that is saved with
|
| 375 |
+
the checkpoint.
|
| 376 |
+
|
| 377 |
+
A typical usage might be ::
|
| 378 |
+
|
| 379 |
+
from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
|
| 380 |
+
# do the training and checkpoint saving
|
| 381 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir) # already on cpu
|
| 382 |
+
model = model.cpu() # move to cpu
|
| 383 |
+
model.load_state_dict(state_dict)
|
| 384 |
+
# submit to model hub or save the model to share with others
|
| 385 |
+
|
| 386 |
+
In this example the ``model`` will no longer be usable in the deepspeed context of the same
|
| 387 |
+
application. i.e. you will need to re-initialize the deepspeed engine, since
|
| 388 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
| 389 |
+
|
| 390 |
+
If you want it all done for you, use ``load_state_dict_from_zero_checkpoint`` instead.
|
| 391 |
+
|
| 392 |
+
"""
|
| 393 |
+
if tag is None:
|
| 394 |
+
latest_path = os.path.join(checkpoint_dir, 'latest')
|
| 395 |
+
if os.path.isfile(latest_path):
|
| 396 |
+
with open(latest_path, 'r') as fd:
|
| 397 |
+
tag = fd.read().strip()
|
| 398 |
+
else:
|
| 399 |
+
raise ValueError(f"Unable to find 'latest' file at {latest_path}")
|
| 400 |
+
|
| 401 |
+
ds_checkpoint_dir = os.path.join(checkpoint_dir, tag)
|
| 402 |
+
|
| 403 |
+
if not os.path.isdir(ds_checkpoint_dir):
|
| 404 |
+
raise FileNotFoundError(f"Directory '{ds_checkpoint_dir}' doesn't exist")
|
| 405 |
+
|
| 406 |
+
return _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir)
|
| 407 |
+
|
| 408 |
+
|
| 409 |
+
def convert_zero_checkpoint_to_fp32_state_dict(checkpoint_dir, output_file, tag=None):
|
| 410 |
+
"""
|
| 411 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict`` file that can be
|
| 412 |
+
loaded with ``torch.load(file)`` + ``load_state_dict()`` and used for training without DeepSpeed.
|
| 413 |
+
|
| 414 |
+
Args:
|
| 415 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
| 416 |
+
- ``output_file``: path to the pytorch fp32 state_dict output file (e.g. path/pytorch_model.bin)
|
| 417 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
| 418 |
+
"""
|
| 419 |
+
|
| 420 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
|
| 421 |
+
print(f"Saving fp32 state dict to {output_file}")
|
| 422 |
+
torch.save(state_dict, output_file)
|
| 423 |
+
|
| 424 |
+
|
| 425 |
+
def load_state_dict_from_zero_checkpoint(model, checkpoint_dir, tag=None):
|
| 426 |
+
"""
|
| 427 |
+
1. Put the provided model to cpu
|
| 428 |
+
2. Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict``
|
| 429 |
+
3. Load it into the provided model
|
| 430 |
+
|
| 431 |
+
Args:
|
| 432 |
+
- ``model``: the model object to update
|
| 433 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
| 434 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
| 435 |
+
|
| 436 |
+
Returns:
|
| 437 |
+
- ``model`: modified model
|
| 438 |
+
|
| 439 |
+
Make sure you have plenty of CPU memory available before you call this function. If you don't
|
| 440 |
+
have enough use the ``zero_to_fp32.py`` utility to do the conversion. You will find it
|
| 441 |
+
conveniently placed for you in the checkpoint folder.
|
| 442 |
+
|
| 443 |
+
A typical usage might be ::
|
| 444 |
+
|
| 445 |
+
from deepspeed.utils.zero_to_fp32 import load_state_dict_from_zero_checkpoint
|
| 446 |
+
model = load_state_dict_from_zero_checkpoint(trainer.model, checkpoint_dir)
|
| 447 |
+
# submit to model hub or save the model to share with others
|
| 448 |
+
|
| 449 |
+
Note, that once this was run, the ``model`` will no longer be usable in the deepspeed context
|
| 450 |
+
of the same application. i.e. you will need to re-initialize the deepspeed engine, since
|
| 451 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
| 452 |
+
|
| 453 |
+
"""
|
| 454 |
+
logger.info(f"Extracting fp32 weights")
|
| 455 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
|
| 456 |
+
|
| 457 |
+
logger.info(f"Overwriting model with fp32 weights")
|
| 458 |
+
model = model.cpu()
|
| 459 |
+
model.load_state_dict(state_dict, strict=False)
|
| 460 |
+
|
| 461 |
+
return model
|
| 462 |
+
|
| 463 |
+
|
| 464 |
+
if __name__ == "__main__":
|
| 465 |
+
|
| 466 |
+
parser = argparse.ArgumentParser()
|
| 467 |
+
parser.add_argument(
|
| 468 |
+
"checkpoint_dir",
|
| 469 |
+
type=str,
|
| 470 |
+
help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
|
| 471 |
+
parser.add_argument(
|
| 472 |
+
"output_file",
|
| 473 |
+
type=str,
|
| 474 |
+
help=
|
| 475 |
+
"path to the pytorch fp32 state_dict output file (e.g. path/checkpoint-12/pytorch_model.bin)"
|
| 476 |
+
)
|
| 477 |
+
parser.add_argument("-d", "--debug", action='store_true', help="enable debug")
|
| 478 |
+
args = parser.parse_args()
|
| 479 |
+
|
| 480 |
+
debug = args.debug
|
| 481 |
+
|
| 482 |
+
convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir, args.output_file)
|