Commit
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ccedc5f
1
Parent(s):
026563b
Correct scripts
Browse files- README.md +5 -4
- get_ctc_tokenizer.py +1 -1
- run_earnings22.sh +2 -2
README.md
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@@ -2,18 +2,19 @@
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language:
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- en
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tags:
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-
-
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datasets:
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-
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---
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To reproduce this run, first call `get_ctc_tokenizer.py` to train the CTC tokenizer and then execute the following command to train the CTC system:
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```python
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#!/usr/bin/env bash
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python run_flax_speech_recognition_ctc.py \
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--model_name_or_path="
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--tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
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--dataset_name="
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--dataset_config_name="earnings22" \
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--output_dir="./" \
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--wandb_project="wav2vec2-ctc" \
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language:
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- en
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tags:
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+
- esb
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datasets:
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- esb/datasets
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- revdotcom/earnings22
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---
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To reproduce this run, first call `get_ctc_tokenizer.py` to train the CTC tokenizer and then execute the following command to train the CTC system:
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```python
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#!/usr/bin/env bash
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python run_flax_speech_recognition_ctc.py \
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--model_name_or_path="esb/wav2vec2-ctc-pretrained" \
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--tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
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--dataset_name="esb/datasets" \
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--dataset_config_name="earnings22" \
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--output_dir="./" \
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--wandb_project="wav2vec2-ctc" \
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get_ctc_tokenizer.py
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@@ -19,7 +19,7 @@ tokenizer_name = f"wav2vec2-ctc-{dataset_name}-tokenizer"
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cutoff_freq = 0.01
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dataset = load_dataset(
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-
"
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dataset_name,
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split=split,
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use_auth_token=use_auth_token,
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cutoff_freq = 0.01
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dataset = load_dataset(
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"esb/datasets",
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dataset_name,
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split=split,
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use_auth_token=use_auth_token,
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run_earnings22.sh
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@@ -1,8 +1,8 @@
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#!/usr/bin/env bash
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python run_flax_speech_recognition_ctc.py \
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--model_name_or_path="
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--tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
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--dataset_name="
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--dataset_config_name="earnings22" \
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--output_dir="./" \
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--wandb_project="wav2vec2-ctc" \
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#!/usr/bin/env bash
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python run_flax_speech_recognition_ctc.py \
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--model_name_or_path="esb/wav2vec2-ctc-pretrained" \
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--tokenizer_name="wav2vec2-ctc-earnings22-tokenizer" \
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--dataset_name="esb/datasets" \
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--dataset_config_name="earnings22" \
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--output_dir="./" \
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--wandb_project="wav2vec2-ctc" \
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