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fix(example): update example configs
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+92
-92
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8 files changed

+92
-92
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‎examples/conformer/config.yml‎

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@@ -114,7 +114,7 @@ learning_config:
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num_epochs: 50
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checkpoint:
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filepath: /mnt/Miscellanea/Models/local/conformer/checkpoints/{epoch:02d}.h5
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save_best_only: True
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save_best_only: False
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save_weights_only: True
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save_freq: epoch
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states_dir: /mnt/Miscellanea/Models/local/conformer/states

‎examples/contextnet/config.yml‎

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@@ -247,7 +247,7 @@ learning_config:
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num_epochs: 20
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checkpoint:
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filepath: /mnt/e/Models/local/contextnet/checkpoints/{epoch:02d}.h5
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save_best_only: True
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save_best_only: False
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save_weights_only: True
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save_freq: epoch
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states_dir: /mnt/e/Models/local/contextnet/states

‎examples/deepspeech2/config.yml‎

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@@ -91,7 +91,7 @@ learning_config:
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num_epochs: 20
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checkpoint:
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filepath: /mnt/e/Models/local/deepspeech2/checkpoints/{epoch:02d}.h5
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save_best_only: True
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save_best_only: False
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save_weights_only: True
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save_freq: epoch
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states_dir: /mnt/e/Models/local/deepspeech2/states

‎examples/jasper/config.yml‎

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@@ -98,7 +98,7 @@ learning_config:
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num_epochs: 20
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checkpoint:
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filepath: /mnt/e/Models/local/jasper/checkpoints/{epoch:02d}.h5
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save_best_only: True
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save_best_only: False
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save_weights_only: True
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save_freq: epoch
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states_dir: /mnt/e/Models/local/jasper/states

‎examples/rnn_transducer/config.yml‎

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@@ -106,7 +106,7 @@ learning_config:
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num_epochs: 20
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checkpoint:
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filepath: /mnt/e/Models/local/rnn_transducer/checkpoints/{epoch:02d}.h5
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save_best_only: True
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save_best_only: False
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save_weights_only: True
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save_freq: epoch
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states_dir: /mnt/e/Models/local/rnn_transducer/states

‎notebooks/conformer.ipynb‎

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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"orig_nbformat": 2,
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"kernelspec": {
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f",
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2,
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"cells": [
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{
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"cell_type": "code",
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" \"num_epochs\": 50,\n",
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" \"checkpoint\": {\n",
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" \"filepath\": \"/mnt/e/Models/local/conformer/checkpoints/{epoch:02d}.h5\",\n",
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" \"save_best_only\": True,\n",
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" \"save_best_only\": False,\n",
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" \"save_weights_only\": True,\n",
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" \"save_freq\": \"epoch\",\n",
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" },\n",
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"outputs": [],
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"source": []
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}
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)",
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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},
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"orig_nbformat": 2
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/contextnet.ipynb‎

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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"orig_nbformat": 2,
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"kernelspec": {
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f",
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2,
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"cells": [
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{
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"cell_type": "code",
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" \"num_epochs\": 20,\n",
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" \"checkpoint\": {\n",
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" \"filepath\": \"/mnt/e/Models/local/contextnet/checkpoints/{epoch:02d}.h5\",\n",
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" \"save_best_only\": True,\n",
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" \"save_best_only\": False,\n",
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" \"save_weights_only\": True,\n",
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" \"save_freq\": \"epoch\",\n",
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" },\n",
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")"
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]
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}
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)",
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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},
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"orig_nbformat": 2
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/rnn_transducer.ipynb‎

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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"orig_nbformat": 2,
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"kernelspec": {
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f",
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2,
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"cells": [
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{
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"cell_type": "code",
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" \"num_epochs\": 20,\n",
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" \"checkpoint\": {\n",
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" \"filepath\": \"/mnt/e/Models/local/rnn_transducer/checkpoints/{epoch:02d}.h5\",\n",
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" \"save_best_only\": True,\n",
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" \"save_best_only\": False,\n",
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" \"save_weights_only\": True,\n",
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" \"save_freq\": \"epoch\",\n",
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" },\n",
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")"
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]
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}
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.8.8 64-bit ('tfo': conda)",
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"name": "python388jvsc74a57bd045f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8-final"
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},
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"metadata": {
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"interpreter": {
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"hash": "45f983f364f7a4cc7101e6d6987a2125bf0c2b5c5c9855ff35103689f542d13f"
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}
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},
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"orig_nbformat": 2
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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