Rolv-Arild commited on
Commit
ef3bfb7
1 Parent(s): fa98048

Training in progress, step 250

Browse files
.run_speech_recognition_ctc.py.swp DELETED
Binary file (1.02 kB)
added_tokens.json CHANGED
@@ -1 +1 @@
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- {"<s>": 33, "</s>": 34}
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+ {"<s>": 32, "</s>": 33}
config.json CHANGED
@@ -76,7 +76,7 @@
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
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  "output_hidden_size": 1024,
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  "proj_codevector_dim": 768,
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@@ -102,6 +102,6 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.17.0.dev0",
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  "use_weighted_layer_sum": false,
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- "vocab_size": 35,
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  "xvector_output_dim": 512
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  }
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
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  "output_hidden_size": 1024,
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+ "pad_token_id": 31,
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  "torch_dtype": "float32",
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  "transformers_version": "4.17.0.dev0",
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  "xvector_output_dim": 512
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  }
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run.sh CHANGED
@@ -8,14 +8,14 @@ python run_speech_recognition_ctc.py \
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  --per_device_train_batch_size="16" \
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  --per_device_eval_batch_size="16" \
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  --gradient_accumulation_steps="4" \
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- --learning_rate="5e-5" \
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- --warmup_steps="1000" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
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  --text_column_name="text" \
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- --save_steps="500" \
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- --eval_steps="500" \
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- --logging_steps="100" \
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  --layerdrop="0.0" \
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  --activation_dropout="0.1" \
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  --save_total_limit="3" \
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  --per_device_train_batch_size="16" \
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  --per_device_eval_batch_size="16" \
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  --gradient_accumulation_steps="4" \
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+ --learning_rate="3e-5" \
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+ --warmup_steps="500" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
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  --text_column_name="text" \
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+ --save_steps="250" \
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+ --eval_steps="250" \
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+ --logging_steps="50" \
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  --layerdrop="0.0" \
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  --activation_dropout="0.1" \
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  --save_total_limit="3" \
run_speech_recognition_ctc.py CHANGED
@@ -407,7 +407,7 @@ def main():
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  batch["text"] = re.sub('[ç]', 'c', batch["text"])
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  batch["text"] = re.sub('[úùüû]', 'u', batch["text"])
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  batch["text"] = re.sub('\s', ' ', batch["text"])
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- batch["text"] = re.sub(r'\\', '', batch["text"])
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  batch["text"] = re.sub('<ee>', 'eee', batch["text"])
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  batch["text"] = re.sub('<qq>', 'qqq', batch["text"])
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  batch["text"] = re.sub('<mm>', 'mmm', batch["text"])
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  batch["text"] = re.sub('[ç]', 'c', batch["text"])
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  batch["text"] = re.sub('[úùüû]', 'u', batch["text"])
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  batch["text"] = re.sub('\s', ' ', batch["text"])
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+ batch["text"] = re.sub(r'\\', '', batch["text"])
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  batch["text"] = re.sub('<ee>', 'eee', batch["text"])
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  batch["text"] = re.sub('<qq>', 'qqq', batch["text"])
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  batch["text"] = re.sub('<mm>', 'mmm', batch["text"])
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