Training in progress, step 500
Browse files- .ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py +5 -4
- .ipynb_checkpoints/vocab-checkpoint.json +1 -0
- added_tokens.json +1 -0
- config.json +107 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.json +1 -0
- wandb/debug-internal.log +1 -0
- wandb/debug.log +1 -0
- wandb/latest-run +1 -0
- wandb/run-20220129_131141-h6nhqm30/files/conda-environment.yaml +0 -0
- wandb/run-20220129_131141-h6nhqm30/files/config.yaml +0 -0
- wandb/run-20220129_131141-h6nhqm30/files/output.log +529 -0
- wandb/run-20220129_131141-h6nhqm30/files/requirements.txt +180 -0
- wandb/run-20220129_131141-h6nhqm30/files/wandb-metadata.json +64 -0
- wandb/run-20220129_131141-h6nhqm30/files/wandb-summary.json +0 -0
- wandb/run-20220129_131141-h6nhqm30/logs/debug-internal.log +0 -0
- wandb/run-20220129_131141-h6nhqm30/logs/debug.log +24 -0
- wandb/run-20220129_131141-h6nhqm30/run-h6nhqm30.wandb +0 -0
.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py
CHANGED
@@ -522,10 +522,11 @@ def main():
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# one local process can concurrently download model & vocab.
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# load feature_extractor and tokenizer
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-
tokenizer = Wav2Vec2CTCTokenizer(
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-
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-
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-
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feature_extractor = AutoFeatureExtractor.from_pretrained(
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model_args.model_name_or_path, cache_dir=model_args.cache_dir, use_auth_token=data_args.use_auth_token
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)
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# one local process can concurrently download model & vocab.
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# load feature_extractor and tokenizer
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+
tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(
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tokenizer_name_or_path,
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use_auth_token=data_args.use_auth_token,
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**tokenizer_kwargs,
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+
)
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feature_extractor = AutoFeatureExtractor.from_pretrained(
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model_args.model_name_or_path, cache_dir=model_args.cache_dir, use_auth_token=data_args.use_auth_token
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)
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.ipynb_checkpoints/vocab-checkpoint.json
ADDED
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+
{"'": 1, "(": 2, ")": 3, "*": 4, ".": 5, "/": 6, "1": 7, "2": 8, "=": 9, "C": 10, "E": 11, "N": 12, "Q": 13, "R": 14, "Z": 15, "`": 16, "a": 17, "b": 18, "c": 19, "d": 20, "e": 21, "f": 22, "g": 23, "h": 24, "i": 25, "j": 26, "k": 27, "l": 28, "m": 29, "n": 30, "o": 31, "p": 32, "q": 33, "r": 34, "s": 35, "t": 36, "u": 37, "v": 38, "w": 39, "x": 40, "y": 41, "z": 42, "{": 43, "|": 0, "}": 45, "~": 46, "\u00a7": 47, "\u00ab": 48, "\u00ae": 49, "\u00b0": 50, "\u00b1": 51, "\u00b7": 52, "\u00bb": 53, "\u00d7": 54, "\u00df": 55, "\u00e6": 56, "\u00e7": 57, "\u00f0": 58, "\u00f8": 59, "\u00fe": 60, "\u0111": 61, "\u0127": 62, "\u0131": 63, "\u0142": 64, "\u0153": 65, "\u01c0": 66, "\u01c3": 67, "\u0251": 68, "\u0259": 69, "\u0268": 70, "\u0289": 71, "\u0294": 72, "\u02bb": 73, "\u02bc": 74, "\u02bd": 75, "\u02be": 76, "\u02bf": 77, "\u02d0": 78, "\u03b1": 79, "\u03b2": 80, "\u03b3": 81, "\u03b4": 82, "\u03b5": 83, "\u03b6": 84, "\u03b7": 85, "\u03b8": 86, "\u03b9": 87, "\u03ba": 88, "\u03bb": 89, "\u03bc": 90, "\u03bd": 91, "\u03bf": 92, "\u03c0": 93, "\u03c1": 94, "\u03c2": 95, "\u03c3": 96, "\u03c4": 97, "\u03c5": 98, "\u03c6": 99, "\u03c7": 100, "\u03c8": 101, "\u03c9": 102, "\u0430": 103, "\u0433": 104, "\u0435": 105, "\u0437": 106, "\u0438": 107, "\u043a": 108, "\u043c": 109, "\u043d": 110, "\u043e": 111, "\u043f": 112, "\u0440": 113, "\u0446": 114, "\u0447": 115, "\u044d": 116, "\u044f": 117, "\u0454": 118, "\u0456": 119, "\u0458": 120, "\u045f": 121, "\u04ab": 122, "\u04cc": 123, "\u0563": 124, "\u0566": 125, "\u0627": 126, "\u0628": 127, "\u0629": 128, "\u062f": 129, "\u0631": 130, "\u0644": 131, "\u0645": 132, "\u0646": 133, "\u0648": 134, "\u064a": 135, "\u1100": 136, "\u1106": 137, "\u1109": 138, "\u110c": 139, "\u1161": 140, "\u1162": 141, "\u1165": 142, "\u1169": 143, "\u1175": 144, "\u11a8": 145, "\u11b7": 146, "\u11b8": 147, "\u11bc": 148, "\u1240": 149, "\u12a8": 150, "\u12c8": 151, "\u12f0": 152, "\u1300": 153, "\u2010": 154, "\u2013": 155, "\u2014": 156, "\u2015": 157, "\u2019": 158, "\u201e": 159, "\u2020": 160, "\u2032": 161, "\u2039": 162, "\u203a": 163, "\u2044": 164, "\u20bd": 165, "\u2192": 166, "\u2194": 167, "\u2205": 168, "\u2206": 169, "\u2208": 170, "\u2212": 171, "\u221e": 172, "\u2228": 173, "\u223c": 174, "\u2265": 175, "\u22a8": 176, "\u22c5": 177, "\u2500": 178, "\u2609": 179, "\u2c45": 180, "\u2c4e": 181, "\u3044": 182, "\u3046": 183, "\u305f": 184, "\u3064": 185, "\u306e": 186, "\u3072": 187, "\u3078": 188, "\u307e": 189, "\u3080": 190, "\u3081": 191, "\u3082": 192, "\u3084": 193, "\u4e09": 194, "\u4e39": 195, "\u4e43": 196, "\u4eac": 197, "\u4fdd": 198, "\u5317": 199, "\u53b3": 200, "\u5b87": 201, "\u626c": 202, "\u6587": 203, "\u661f": 204, "\u672f": 205, "\u675c": 206, "\u6d25": 207, "\u7261": 208, "\u750c": 209, "\u7f8e": 210, "\u897f": 211, "\u8cb4": 212, "\u9752": 213, "\u9986": 214, "\ua751": 215, "[UNK]": 215, "[PAD]": 216}
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added_tokens.json
ADDED
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+
{"<s>": 216, "</s>": 217}
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config.json
ADDED
@@ -0,0 +1,107 @@
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
|
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+
"activation_dropout": 0.1,
|
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+
"adapter_kernel_size": 3,
|
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+
"adapter_stride": 2,
|
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+
"add_adapter": false,
|
7 |
+
"apply_spec_augment": true,
|
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+
"architectures": [
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+
"Wav2Vec2ForCTC"
|
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+
],
|
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+
"attention_dropout": 0.0,
|
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+
"bos_token_id": 1,
|
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+
"classifier_proj_size": 256,
|
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+
"codevector_dim": 768,
|
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+
"contrastive_logits_temperature": 0.1,
|
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+
"conv_bias": true,
|
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+
"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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+
2
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+
],
|
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+
"ctc_loss_reduction": "mean",
|
45 |
+
"ctc_zero_infinity": false,
|
46 |
+
"diversity_loss_weight": 0.1,
|
47 |
+
"do_stable_layer_norm": true,
|
48 |
+
"eos_token_id": 2,
|
49 |
+
"feat_extract_activation": "gelu",
|
50 |
+
"feat_extract_dropout": 0.0,
|
51 |
+
"feat_extract_norm": "layer",
|
52 |
+
"feat_proj_dropout": 0.0,
|
53 |
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"feat_quantizer_dropout": 0.0,
|
54 |
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"final_dropout": 0.0,
|
55 |
+
"hidden_act": "gelu",
|
56 |
+
"hidden_dropout": 0.0,
|
57 |
+
"hidden_size": 1024,
|
58 |
+
"initializer_range": 0.02,
|
59 |
+
"intermediate_size": 4096,
|
60 |
+
"layer_norm_eps": 1e-05,
|
61 |
+
"layerdrop": 0.0,
|
62 |
+
"mask_feature_length": 10,
|
63 |
+
"mask_feature_min_masks": 0,
|
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+
"mask_feature_prob": 0.33,
|
65 |
+
"mask_time_length": 10,
|
66 |
+
"mask_time_min_masks": 2,
|
67 |
+
"mask_time_prob": 0.75,
|
68 |
+
"model_type": "wav2vec2",
|
69 |
+
"num_adapter_layers": 3,
|
70 |
+
"num_attention_heads": 16,
|
71 |
+
"num_codevector_groups": 2,
|
72 |
+
"num_codevectors_per_group": 320,
|
73 |
+
"num_conv_pos_embedding_groups": 16,
|
74 |
+
"num_conv_pos_embeddings": 128,
|
75 |
+
"num_feat_extract_layers": 7,
|
76 |
+
"num_hidden_layers": 24,
|
77 |
+
"num_negatives": 100,
|
78 |
+
"output_hidden_size": 1024,
|
79 |
+
"pad_token_id": 216,
|
80 |
+
"proj_codevector_dim": 768,
|
81 |
+
"tdnn_dilation": [
|
82 |
+
1,
|
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+
2,
|
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+
3,
|
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+
1,
|
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+
1
|
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+
],
|
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+
"tdnn_dim": [
|
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+
512,
|
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+
512,
|
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+
512,
|
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+
512,
|
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+
1500
|
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+
],
|
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+
"tdnn_kernel": [
|
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5,
|
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+
3,
|
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+
3,
|
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+
1,
|
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+
1
|
101 |
+
],
|
102 |
+
"torch_dtype": "float32",
|
103 |
+
"transformers_version": "4.17.0.dev0",
|
104 |
+
"use_weighted_layer_sum": false,
|
105 |
+
"vocab_size": 218,
|
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+
"xvector_output_dim": 512
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+
}
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preprocessor_config.json
ADDED
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{
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"do_normalize": true,
|
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+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
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"feature_size": 1,
|
5 |
+
"padding_side": "right",
|
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+
"padding_value": 0,
|
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"return_attention_mask": true,
|
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+
"sampling_rate": 16000
|
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}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:472a00d6c3344b86c7803638519386c0a1eb56d7f282665bd5d7c54ec88a7de2
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+
size 1262817457
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special_tokens_map.json
ADDED
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+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
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tokenizer_config.json
ADDED
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+
{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "config": null, "tokenizer_type": "wav2vec2", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
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training_args.bin
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:045ff4a8456a52acfb08e668118d28bcb89545214b55b6b4b0122ab5c2b1ef4e
|
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+
size 3055
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vocab.json
ADDED
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1 |
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{"'": 1, "(": 2, ")": 3, "*": 4, ".": 5, "/": 6, "1": 7, "2": 8, "=": 9, "C": 10, "E": 11, "N": 12, "Q": 13, "R": 14, "Z": 15, "`": 16, "a": 17, "b": 18, "c": 19, "d": 20, "e": 21, "f": 22, "g": 23, "h": 24, "i": 25, "j": 26, "k": 27, "l": 28, "m": 29, "n": 30, "o": 31, "p": 32, "q": 33, "r": 34, "s": 35, "t": 36, "u": 37, "v": 38, "w": 39, "x": 40, "y": 41, "z": 42, "{": 43, "|": 0, "}": 45, "~": 46, "§": 47, "«": 48, "®": 49, "°": 50, "±": 51, "·": 52, "»": 53, "×": 54, "ß": 55, "æ": 56, "ç": 57, "ð": 58, "ø": 59, "þ": 60, "đ": 61, "ħ": 62, "ı": 63, "ł": 64, "œ": 65, "ǀ": 66, "ǃ": 67, "ɑ": 68, "ə": 69, "ɨ": 70, "ʉ": 71, "ʔ": 72, "ʻ": 73, "ʼ": 74, "ʽ": 75, "ʾ": 76, "ʿ": 77, "ː": 78, "α": 79, "β": 80, "γ": 81, "δ": 82, "ε": 83, "ζ": 84, "η": 85, "θ": 86, "ι": 87, "κ": 88, "λ": 89, "μ": 90, "ν": 91, "ο": 92, "π": 93, "ρ": 94, "ς": 95, "σ": 96, "τ": 97, "υ": 98, "φ": 99, "χ": 100, "ψ": 101, "ω": 102, "а": 103, "г": 104, "е": 105, "з": 106, "и": 107, "к": 108, "м": 109, "н": 110, "о": 111, "п": 112, "р": 113, "ц": 114, "ч": 115, "э": 116, "я": 117, "є": 118, "і": 119, "ј": 120, "џ": 121, "ҫ": 122, "ӌ": 123, "գ": 124, "զ": 125, "ا": 126, "ب": 127, "ة": 128, "د": 129, "ر": 130, "ل": 131, "م": 132, "ن": 133, "و": 134, "ي": 135, "ᄀ": 136, "ᄆ": 137, "ᄉ": 138, "ᄌ": 139, "ᅡ": 140, "ᅢ": 141, "ᅥ": 142, "ᅩ": 143, "ᅵ": 144, "ᆨ": 145, "ᆷ": 146, "ᆸ": 147, "ᆼ": 148, "ቀ": 149, "ከ": 150, "ወ": 151, "ደ": 152, "ጀ": 153, "‐": 154, "–": 155, "—": 156, "―": 157, "’": 158, "„": 159, "†": 160, "′": 161, "‹": 162, "›": 163, "⁄": 164, "₽": 165, "→": 166, "↔": 167, "∅": 168, "∆": 169, "∈": 170, "−": 171, "∞": 172, "∨": 173, "∼": 174, "≥": 175, "⊨": 176, "⋅": 177, "─": 178, "☉": 179, "ⱅ": 180, "ⱎ": 181, "い": 182, "う": 183, "た": 184, "つ": 185, "の": 186, "ひ": 187, "へ": 188, "ま": 189, "む": 190, "め": 191, "も": 192, "や": 193, "三": 194, "丹": 195, "乃": 196, "京": 197, "保": 198, "北": 199, "厳": 200, "宇": 201, "扬": 202, "文": 203, "星": 204, "术": 205, "杜": 206, "津": 207, "牡": 208, "甌": 209, "美": 210, "西": 211, "貴": 212, "青": 213, "馆": 214, "ꝑ": 215, "[UNK]": 215, "[PAD]": 216}
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wandb/debug-internal.log
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run-20220129_131141-h6nhqm30/logs/debug-internal.log
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wandb/debug.log
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run-20220129_131141-h6nhqm30/logs/debug.log
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wandb/latest-run
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run-20220129_131141-h6nhqm30
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wandb/run-20220129_131141-h6nhqm30/files/conda-environment.yaml
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wandb/run-20220129_131141-h6nhqm30/files/config.yaml
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wandb/run-20220129_131141-h6nhqm30/files/output.log
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2%|███▋ | 500/21520 [22:14<9:36:18, 1.65s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
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***** Running Evaluation *****
|
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Num examples = 1839
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Batch size = 64
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{'loss': 5.4101, 'learning_rate': 2.3239999999999998e-05, 'epoch': 0.12}
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Configuration saved in ./checkpoint-500/config.json
|
527 |
+
{'eval_loss': 5.053680896759033, 'eval_wer': 1.0, 'eval_runtime': 62.0508, 'eval_samples_per_second': 29.637, 'eval_steps_per_second': 0.467, 'epoch': 0.12}
|
528 |
+
Model weights saved in ./checkpoint-500/pytorch_model.bin
|
529 |
+
Configuration saved in ./checkpoint-500/preprocessor_config.json
|
wandb/run-20220129_131141-h6nhqm30/files/requirements.txt
ADDED
@@ -0,0 +1,180 @@
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
aiohttp==3.8.1
|
2 |
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aiosignal==1.2.0
|
3 |
+
analytics-python==1.4.0
|
4 |
+
anyio==3.5.0
|
5 |
+
appdirs==1.4.4
|
6 |
+
argon2-cffi-bindings==21.2.0
|
7 |
+
argon2-cffi==21.3.0
|
8 |
+
asgiref==3.5.0
|
9 |
+
asttokens==2.0.5
|
10 |
+
async-timeout==4.0.2
|
11 |
+
attrs==21.4.0
|
12 |
+
audioread==2.1.9
|
13 |
+
backcall==0.2.0
|
14 |
+
backoff==1.10.0
|
15 |
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bcrypt==3.2.0
|
16 |
+
beautifulsoup4==4.9.3
|
17 |
+
black==21.12b0
|
18 |
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bleach==4.1.0
|
19 |
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brotlipy==0.7.0
|
20 |
+
certifi==2020.12.5
|
21 |
+
cffi==1.14.3
|
22 |
+
chardet==3.0.4
|
23 |
+
charset-normalizer==2.0.10
|
24 |
+
click==8.0.3
|
25 |
+
conda-build==3.21.4
|
26 |
+
conda-package-handling==1.7.2
|
27 |
+
conda==4.9.2
|
28 |
+
configparser==5.2.0
|
29 |
+
cryptography==3.2.1
|
30 |
+
cycler==0.11.0
|
31 |
+
datasets==1.18.2.dev0
|
32 |
+
debugpy==1.5.1
|
33 |
+
decorator==4.4.2
|
34 |
+
defusedxml==0.7.1
|
35 |
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dill==0.3.4
|
36 |
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dnspython==2.1.0
|
37 |
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docker-pycreds==0.4.0
|
38 |
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entrypoints==0.3
|
39 |
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executing==0.8.2
|
40 |
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fastapi==0.73.0
|
41 |
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ffmpy==0.3.0
|
42 |
+
filelock==3.0.12
|
43 |
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fonttools==4.29.0
|
44 |
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frozenlist==1.3.0
|
45 |
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fsspec==2022.1.0
|
46 |
+
gitdb==4.0.9
|
47 |
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gitpython==3.1.26
|
48 |
+
glob2==0.7
|
49 |
+
gradio==2.7.5.2
|
50 |
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h11==0.13.0
|
51 |
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huggingface-hub==0.4.0
|
52 |
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idna==2.10
|
53 |
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importlib-resources==5.4.0
|
54 |
+
ipykernel==6.7.0
|
55 |
+
ipython-genutils==0.2.0
|
56 |
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ipython==8.0.1
|
57 |
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ipywidgets==7.6.3
|
58 |
+
jedi==0.17.0
|
59 |
+
jinja2==2.11.3
|
60 |
+
jiwer==2.3.0
|
61 |
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joblib==1.1.0
|
62 |
+
json5==0.9.6
|
63 |
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jsonschema==4.4.0
|
64 |
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jupyter-client==7.1.2
|
65 |
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jupyter-core==4.9.1
|
66 |
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jupyterlab-pygments==0.1.2
|
67 |
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jupyterlab-server==1.2.0
|
68 |
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jupyterlab-widgets==1.0.2
|
69 |
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jupyterlab==2.2.9
|
70 |
+
kiwisolver==1.3.2
|
71 |
+
libarchive-c==2.9
|
72 |
+
librosa==0.8.1
|
73 |
+
llvmlite==0.38.0
|
74 |
+
markdown2==2.4.2
|
75 |
+
markupsafe==1.1.1
|
76 |
+
matplotlib-inline==0.1.3
|
77 |
+
matplotlib==3.5.1
|
78 |
+
mistune==0.8.4
|
79 |
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mkl-fft==1.3.0
|
80 |
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mkl-random==1.1.1
|
81 |
+
mkl-service==2.3.0
|
82 |
+
monotonic==1.6
|
83 |
+
multidict==6.0.2
|
84 |
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multiprocess==0.70.12.2
|
85 |
+
mypy-extensions==0.4.3
|
86 |
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nano==0.10.0
|
87 |
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nbclient==0.5.10
|
88 |
+
nbconvert==6.4.1
|
89 |
+
nbformat==5.1.3
|
90 |
+
nest-asyncio==1.5.4
|
91 |
+
notebook==6.4.8
|
92 |
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numba==0.55.1
|
93 |
+
numpy==1.19.2
|
94 |
+
olefile==0.46
|
95 |
+
packaging==21.3
|
96 |
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pandas==1.4.0
|
97 |
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pandocfilters==1.5.0
|
98 |
+
paramiko==2.9.2
|
99 |
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parso==0.8.1
|
100 |
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pathspec==0.9.0
|
101 |
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pathtools==0.1.2
|
102 |
+
pexpect==4.8.0
|
103 |
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pickleshare==0.7.5
|
104 |
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pillow==8.1.2
|
105 |
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pip==21.3.1
|
106 |
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pkginfo==1.7.0
|
107 |
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platformdirs==2.4.1
|
108 |
+
pooch==1.6.0
|
109 |
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prometheus-client==0.13.0
|
110 |
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promise==2.3
|
111 |
+
prompt-toolkit==3.0.8
|
112 |
+
protobuf==3.19.4
|
113 |
+
psutil==5.8.0
|
114 |
+
ptyprocess==0.7.0
|
115 |
+
pure-eval==0.2.2
|
116 |
+
pyarrow==6.0.1
|
117 |
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pycosat==0.6.3
|
118 |
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pycparser==2.20
|
119 |
+
pycryptodome==3.13.0
|
120 |
+
pydantic==1.9.0
|
121 |
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pydub==0.25.1
|
122 |
+
pygments==2.8.0
|
123 |
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pynacl==1.5.0
|
124 |
+
pyopenssl==19.1.0
|
125 |
+
pyparsing==3.0.7
|
126 |
+
pyrsistent==0.18.1
|
127 |
+
pysocks==1.7.1
|
128 |
+
python-dateutil==2.8.2
|
129 |
+
python-etcd==0.4.5
|
130 |
+
python-levenshtein==0.12.2
|
131 |
+
python-multipart==0.0.5
|
132 |
+
pytz==2021.1
|
133 |
+
pyyaml==5.4.1
|
134 |
+
pyzmq==22.3.0
|
135 |
+
regex==2022.1.18
|
136 |
+
requests==2.24.0
|
137 |
+
resampy==0.2.2
|
138 |
+
ruamel-yaml==0.15.87
|
139 |
+
sacremoses==0.0.47
|
140 |
+
scikit-learn==1.0.2
|
141 |
+
scipy==1.7.3
|
142 |
+
send2trash==1.8.0
|
143 |
+
sentry-sdk==1.5.4
|
144 |
+
setuptools==50.3.1.post20201107
|
145 |
+
shortuuid==1.0.8
|
146 |
+
six==1.15.0
|
147 |
+
smmap==5.0.0
|
148 |
+
sniffio==1.2.0
|
149 |
+
soundfile==0.10.3.post1
|
150 |
+
soupsieve==2.2
|
151 |
+
stack-data==0.1.4
|
152 |
+
starlette==0.17.1
|
153 |
+
subprocess32==3.5.4
|
154 |
+
termcolor==1.1.0
|
155 |
+
terminado==0.13.1
|
156 |
+
testpath==0.5.0
|
157 |
+
threadpoolctl==3.0.0
|
158 |
+
tokenizers==0.11.4
|
159 |
+
tomli==1.2.3
|
160 |
+
torch==1.10.2
|
161 |
+
torchaudio==0.10.2
|
162 |
+
torchelastic==0.2.2
|
163 |
+
torchtext==0.9.1
|
164 |
+
torchvision==0.9.1
|
165 |
+
tornado==6.1
|
166 |
+
tqdm==4.62.3
|
167 |
+
traitlets==5.1.1
|
168 |
+
transformers==4.17.0.dev0
|
169 |
+
typing-extensions==4.0.1
|
170 |
+
urllib3==1.25.11
|
171 |
+
uvicorn==0.17.1
|
172 |
+
wandb==0.12.9
|
173 |
+
wcwidth==0.2.5
|
174 |
+
webencodings==0.5.1
|
175 |
+
wheel==0.35.1
|
176 |
+
widgetsnbextension==3.5.2
|
177 |
+
xxhash==2.0.2
|
178 |
+
yarl==1.7.2
|
179 |
+
yaspin==2.1.0
|
180 |
+
zipp==3.7.0
|
wandb/run-20220129_131141-h6nhqm30/files/wandb-metadata.json
ADDED
@@ -0,0 +1,64 @@
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"os": "Linux-4.15.0-151-generic-x86_64-with-glibc2.10",
|
3 |
+
"python": "3.8.8",
|
4 |
+
"heartbeatAt": "2022-01-29T13:11:43.886807",
|
5 |
+
"startedAt": "2022-01-29T13:11:41.626227",
|
6 |
+
"docker": null,
|
7 |
+
"gpu": "Tesla V100S-PCIE-32GB",
|
8 |
+
"gpu_count": 1,
|
9 |
+
"cpu_count": 60,
|
10 |
+
"cuda": null,
|
11 |
+
"args": [
|
12 |
+
"--dataset_name=mozilla-foundation/common_voice_8_0",
|
13 |
+
"--model_name_or_path=facebook/wav2vec2-xls-r-300m",
|
14 |
+
"--dataset_config_name=fr",
|
15 |
+
"--output_dir=./",
|
16 |
+
"--overwrite_output_dir",
|
17 |
+
"--num_train_epochs=5",
|
18 |
+
"--per_device_train_batch_size=64",
|
19 |
+
"--per_device_eval_batch_size=64",
|
20 |
+
"--gradient_accumulation_steps=1",
|
21 |
+
"--learning_rate=7e-5",
|
22 |
+
"--warmup_steps=1500",
|
23 |
+
"--length_column_name=input_length",
|
24 |
+
"--evaluation_strategy=steps",
|
25 |
+
"--text_column_name=sentence",
|
26 |
+
"--save_steps=500",
|
27 |
+
"--eval_steps=500",
|
28 |
+
"--logging_steps=100",
|
29 |
+
"--layerdrop=0.0",
|
30 |
+
"--activation_dropout=0.1",
|
31 |
+
"--save_total_limit=3",
|
32 |
+
"--freeze_feature_encoder",
|
33 |
+
"--feat_proj_dropout=0.0",
|
34 |
+
"--mask_time_prob=0.75",
|
35 |
+
"--mask_time_length=10",
|
36 |
+
"--mask_feature_prob=0.33",
|
37 |
+
"--mask_feature_length=10",
|
38 |
+
"--gradient_checkpointing",
|
39 |
+
"--report_to=wandb",
|
40 |
+
"--run_name=xls-r-300m-fr",
|
41 |
+
"--max_eval_samples=4000",
|
42 |
+
"--max_duration_in_seconds=5",
|
43 |
+
"--use_auth_token",
|
44 |
+
"--fp16",
|
45 |
+
"--group_by_length",
|
46 |
+
"--preprocessing_num_workers=64",
|
47 |
+
"--do_train",
|
48 |
+
"--do_eval",
|
49 |
+
"--load_best_model_at_end",
|
50 |
+
"--push_to_hub"
|
51 |
+
],
|
52 |
+
"state": "running",
|
53 |
+
"program": "run_speech_recognition_ctc.py",
|
54 |
+
"codePath": "run_speech_recognition_ctc.py",
|
55 |
+
"git": {
|
56 |
+
"remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
|
57 |
+
"commit": "44c47390840b2e07543aa79514aa51086a0ff3cf"
|
58 |
+
},
|
59 |
+
"email": "[email protected]",
|
60 |
+
"root": "/workspace/xls-r-300m-fr",
|
61 |
+
"host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
|
62 |
+
"username": "ovh",
|
63 |
+
"executable": "/opt/conda/bin/python"
|
64 |
+
}
|
wandb/run-20220129_131141-h6nhqm30/files/wandb-summary.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20220129_131141-h6nhqm30/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20220129_131141-h6nhqm30/logs/debug.log
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2022-01-29 13:11:41,630 INFO MainThread:44227 [wandb_setup.py:_flush():71] setting env: {}
|
2 |
+
2022-01-29 13:11:41,630 INFO MainThread:44227 [wandb_setup.py:_flush():71] setting login settings: {}
|
3 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [wandb_init.py:_log_setup():371] Logging user logs to /workspace/xls-r-300m-fr/wandb/run-20220129_131141-h6nhqm30/logs/debug.log
|
4 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [wandb_init.py:_log_setup():372] Logging internal logs to /workspace/xls-r-300m-fr/wandb/run-20220129_131141-h6nhqm30/logs/debug-internal.log
|
5 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [wandb_init.py:init():404] calling init triggers
|
6 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [wandb_init.py:init():409] wandb.init called with sweep_config: {}
|
7 |
+
config: {}
|
8 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [wandb_init.py:init():460] starting backend
|
9 |
+
2022-01-29 13:11:41,631 INFO MainThread:44227 [backend.py:_multiprocessing_setup():99] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
|
10 |
+
2022-01-29 13:11:42,043 INFO MainThread:44227 [backend.py:ensure_launched():216] starting backend process...
|
11 |
+
2022-01-29 13:11:42,437 INFO MainThread:44227 [backend.py:ensure_launched():221] started backend process with pid: 13445
|
12 |
+
2022-01-29 13:11:42,439 INFO MainThread:44227 [wandb_init.py:init():469] backend started and connected
|
13 |
+
2022-01-29 13:11:42,449 INFO MainThread:44227 [wandb_init.py:init():533] updated telemetry
|
14 |
+
2022-01-29 13:11:43,278 INFO MainThread:44227 [wandb_init.py:init():563] communicating current version
|
15 |
+
2022-01-29 13:11:43,680 INFO MainThread:44227 [wandb_init.py:init():568] got version response
|
16 |
+
2022-01-29 13:11:43,681 INFO MainThread:44227 [wandb_init.py:init():578] communicating run to backend with 30 second timeout
|
17 |
+
2022-01-29 13:11:43,876 INFO MainThread:44227 [wandb_init.py:init():606] starting run threads in backend
|
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2022-01-29 13:11:44,463 INFO MainThread:44227 [wandb_run.py:_console_start():1810] atexit reg
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2022-01-29 13:11:44,464 INFO MainThread:44227 [wandb_run.py:_redirect():1689] Redirecting console.
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2022-01-29 13:11:44,471 INFO MainThread:44227 [wandb_run.py:_redirect():1745] Redirects installed.
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2022-01-29 13:11:44,471 INFO MainThread:44227 [wandb_init.py:init():633] run started, returning control to user process
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2022-01-29 13:11:44,474 INFO MainThread:44227 [wandb_run.py:_config_callback():956] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 216, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-xls-r-300m', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'model_type': 'wav2vec2', 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 'num_hidden_layers': 24, 'intermediate_size': 4096, 'hidden_act': 'gelu', 'num_attention_heads': 16, 'hidden_dropout': 0.0, 'attention_dropout': 0.0, 'activation_dropout': 0.1, 'feat_proj_dropout': 0.0, 'final_dropout': 0.0, 'layerdrop': 0.0, 'layer_norm_eps': 1e-05, 'initializer_range': 0.02, 'vocab_size': 218, 'do_stable_layer_norm': True, 'use_weighted_layer_sum': False, 'apply_spec_augment': True, 'mask_time_prob': 0.75, 'mask_time_length': 10, 'mask_time_min_masks': 2, 'mask_feature_prob': 0.33, 'mask_feature_length': 10, 'mask_feature_min_masks': 0, 'num_codevectors_per_group': 320, 'num_codevector_groups': 2, 'contrastive_logits_temperature': 0.1, 'feat_quantizer_dropout': 0.0, 'num_negatives': 100, 'codevector_dim': 768, 'proj_codevector_dim': 768, 'diversity_loss_weight': 0.1, 'ctc_loss_reduction': 'mean', 'ctc_zero_infinity': False, 'add_adapter': False, 'adapter_kernel_size': 3, 'adapter_stride': 2, 'num_adapter_layers': 3, 'output_hidden_size': 1024, 'classifier_proj_size': 256, 'tdnn_dim': [512, 512, 512, 512, 1500], 'tdnn_kernel': [5, 3, 3, 1, 1], 'tdnn_dilation': [1, 2, 3, 1, 1], 'xvector_output_dim': 512, 'output_dir': './', 'overwrite_output_dir': True, 'do_train': True, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 64, 'per_device_eval_batch_size': 64, 'per_gpu_train_batch_size': 'None', 'per_gpu_eval_batch_size': 'None', 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': 'None', 'learning_rate': 7e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 5.0, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'warmup_ratio': 0.0, 'warmup_steps': 1500, 'log_level': -1, 'log_level_replica': -1, 'log_on_each_node': True, 'logging_dir': './runs/Jan29_11-53-08_job-1abccd0a-3293-4ffe-8274-9e8f841f653f', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 100, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 3, 'save_on_each_node': False, 'no_cuda': False, 'seed': 42, 'bf16': False, 'fp16': True, 'fp16_opt_level': 'O1', 'half_precision_backend': 'amp', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': 'None', 'local_rank': -1, 'xpu_backend': 'None', 'tpu_num_cores': 'None', 'tpu_metrics_debug': False, 'debug': '[]', 'dataloader_drop_last': False, 'eval_steps': 500, 'dataloader_num_workers': 0, 'past_index': -1, 'run_name': 'xls-r-300m-fr', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': 'None', 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'train_batch_size': 64, 'eval_batch_size': 64}
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2022-01-29 13:11:44,479 INFO MainThread:44227 [wandb_watch.py:watch():43] Watching
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wandb/run-20220129_131141-h6nhqm30/run-h6nhqm30.wandb
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