Training in progress, step 500

.ipynb_checkpoints/run_speech_recognition_ctc-checkpoint.py

@@ -522,10 +522,11 @@ def main():
     # one local process can concurrently download model & vocab.
 
     # load feature_extractor and tokenizer
-    tokenizer = Wav2Vec2CTCTokenizer(tokenizer_name_or_path, 
-                                     use_auth_token=data_args.use_auth_token,
-                                     **tokenizer_kwargs,
-                                    )
+    tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(
+        tokenizer_name_or_path, 
+        use_auth_token=data_args.use_auth_token,
+        **tokenizer_kwargs,
+    )
     feature_extractor = AutoFeatureExtractor.from_pretrained(
         model_args.model_name_or_path, cache_dir=model_args.cache_dir, use_auth_token=data_args.use_auth_token
     )

.ipynb_checkpoints/vocab-checkpoint.json

@@ -0,0 +1 @@
+{"'": 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}

added_tokens.json

@@ -0,0 +1 @@
+{"<s>": 216, "</s>": 217}

config.json

@@ -0,0 +1,107 @@
+{
+  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
+  "activation_dropout": 0.1,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.0,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.33,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.75,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 216,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 218,
+  "xvector_output_dim": 512
+}

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:472a00d6c3344b86c7803638519386c0a1eb56d7f282665bd5d7c54ec88a7de2
+size 1262817457

special_tokens_map.json

@@ -0,0 +1 @@
+{"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}]}

tokenizer_config.json

@@ -0,0 +1 @@
+{"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"}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:045ff4a8456a52acfb08e668118d28bcb89545214b55b6b4b0122ab5c2b1ef4e
+size 3055

vocab.json

@@ -0,0 +1 @@
+{"'": 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}

wandb/debug-internal.log

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+run-20220129_131141-h6nhqm30/logs/debug-internal.log

wandb/debug.log

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+run-20220129_131141-h6nhqm30/logs/debug.log

wandb/latest-run

@@ -0,0 +1 @@
+run-20220129_131141-h6nhqm30

wandb/run-20220129_131141-h6nhqm30/files/output.log

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+  0%|▋                                                                                                                                                              | 100/21520 [04:25<9:53:42,  1.66s/it]
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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.
+***** Running Evaluation *****
+  Num examples = 1839
+  Batch size = 64
+{'loss': 5.4101, 'learning_rate': 2.3239999999999998e-05, 'epoch': 0.12}
+
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+Configuration saved in ./checkpoint-500/config.json
+{'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}
+Model weights saved in ./checkpoint-500/pytorch_model.bin
+Configuration saved in ./checkpoint-500/preprocessor_config.json

wandb/run-20220129_131141-h6nhqm30/files/requirements.txt

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+aiohttp==3.8.1
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+appdirs==1.4.4
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wandb/run-20220129_131141-h6nhqm30/files/wandb-metadata.json

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+    "heartbeatAt": "2022-01-29T13:11:43.886807",
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+        "--model_name_or_path=facebook/wav2vec2-xls-r-300m",
+        "--dataset_config_name=fr",
+        "--output_dir=./",
+        "--overwrite_output_dir",
+        "--num_train_epochs=5",
+        "--per_device_train_batch_size=64",
+        "--per_device_eval_batch_size=64",
+        "--gradient_accumulation_steps=1",
+        "--learning_rate=7e-5",
+        "--warmup_steps=1500",
+        "--length_column_name=input_length",
+        "--evaluation_strategy=steps",
+        "--text_column_name=sentence",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=100",
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+        "--report_to=wandb",
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+        "--max_eval_samples=4000",
+        "--max_duration_in_seconds=5",
+        "--use_auth_token",
+        "--fp16",
+        "--group_by_length",
+        "--preprocessing_num_workers=64",
+        "--do_train",
+        "--do_eval",
+        "--load_best_model_at_end",
+        "--push_to_hub"
+    ],
+    "state": "running",
+    "program": "run_speech_recognition_ctc.py",
+    "codePath": "run_speech_recognition_ctc.py",
+    "git": {
+        "remote": "https://huggingface.co/AlexN/xls-r-300m-fr",
+        "commit": "44c47390840b2e07543aa79514aa51086a0ff3cf"
+    },
+    "email": "alexandrenap@hotmail.fr",
+    "root": "/workspace/xls-r-300m-fr",
+    "host": "job-1abccd0a-3293-4ffe-8274-9e8f841f653f",
+    "username": "ovh",
+    "executable": "/opt/conda/bin/python"
+}

wandb/run-20220129_131141-h6nhqm30/logs/debug.log

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