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| "narration": "Classify CV trains image models on annotated object crops. The console reports dataset checks, training progress, held-out metrics, inference, warnings, and output paths.", |
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| "[Classify](/klˈæsəfI/) CV trains image models on annotated object crops.", |
| "The console reports dataset checks, training progress, held-out metrics, inference, warnings, and output paths." |
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| "narration": "Start with Essentials, use Modified to audit deliberate changes, and open All only for controls required by the experiment. Save a Recipe when the setup will be repeated.", |
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| "Start with Essentials, use Modified to audit deliberate changes, and open All only for controls required by the experiment.", |
| "Save a Recipe when the setup will be repeated." |
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| "narration": "Labels and Classes selects the annotation or metadata field used as ground truth and maps its saved values to documented class names. Verify that mapping before training.", |
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| "Labels and Classes selects the annotation or metadata field used as ground truth and maps its saved values to documented class names.", |
| "Verify that mapping before training." |
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| "narration": "Images and Cropping chooses the object images, channels, balancing, and held-out fraction. Group related images by plate or well so near-duplicates cannot leak between training and evaluation.", |
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| "Images and Cropping chooses the object images, channels, balancing, and held-out fraction.", |
| "Group related images by plate or well so near-duplicates cannot leak between training and evaluation." |
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| "narration": "Model and Regularization selects the network, input channels and size, pretrained weights, normalization, and regularization expected by the images. Begin with one reasonable baseline.", |
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| "narration": "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping. Change a small number of controls at a time and judge them on validation behavior.", |
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| "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping.", |
| "Change a small number of controls at a time and judge them on validation behavior." |
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| "narration": "Evaluation and Results adds grouped evaluation, calibration, and strict identity and content-leakage checks. Keep final held-out data separate from model selection.", |
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| "narration": "The same Evaluation and Results section controls full-dataset inference, saved probabilities and class calls, and representative examples. Review those outputs before using predictions biologically.", |
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| "narration": "Enable Hyperparameter Search when several plausible configurations need comparison. The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status.", |
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| "The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status." |
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| "Avoid broad searches that spend compute on choices the experiment cannot distinguish." |
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| "Review held-out metrics and examples before applying it broadly; spacer stores the checkpoint, predictions, settings, and run record." |
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| "text": "Classify CV trains image models on annotated object crops.", |
| "speech_text": "[Classify](/klˈæsəfI/) CV trains image models on annotated object crops.", |
| "phonemes": "klˈæsəfI sˌivˈi tɹˈAnz ˈɪmɪʤ mˈɑdᵊlz ˌɔn ˈænətˌATᵻd ˈɑbʤəkt kɹˈɑps." |
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| "speech_text": "Plate Sources and Workflow selects the measured projects and the stages to run: build a split, train, evaluate, or apply an existing checkpoint.", |
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| "speech_text": "Start with Essentials, use Modified to audit deliberate changes, and open All only for controls required by the experiment. Save a Recipe when the setup will be repeated.", |
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| "speech_text": "Start with Essentials, use Modified to audit deliberate changes, and open All only for controls required by the experiment.", |
| "phonemes": "stˈɑɹt wɪð əsˈɛnʧᵊlz, jˈuz mˈɑdəfˌId tʊ ˈɔdət dəlˈɪbəɹət ʧˈAnʤᵻz, ænd ˈOpᵊn ˈɔl ˈOnli fɔɹ kəntɹˈOlz ɹəkwˈIəɹd bI ði ɪkspˈɛɹəmənt." |
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| "speech_text": "Save a Recipe when the setup will be repeated.", |
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| "text": "Labels and Classes selects the annotation or metadata field used as ground truth and maps its saved values to documented class names. Verify that mapping before training.", |
| "speech_text": "Labels and Classes selects the annotation or metadata field used as ground truth and maps its saved values to documented class names. Verify that mapping before training.", |
| "phonemes": "lˈAbəlz ænd klˈæsᵻz səlˈɛkts ði ˌænətˈAʃən ɔɹ mˈɛTədˌATə fˈild jˈuzd æz ɡɹˈWnd tɹˈuθ ænd mˈæps ɪts sˈAvd vˈæljuz tə dˈɑkjəmˌɛntᵻd klˈæs nˈAmz. vˈɛɹəfˌI ðˈæt mˈæpɪŋ bəfˈɔɹ tɹˈAnɪŋ.", |
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| "phonemes": "lˈAbəlz ænd klˈæsᵻz səlˈɛkts ði ˌænətˈAʃən ɔɹ mˈɛTədˌATə fˈild jˈuzd æz ɡɹˈWnd tɹˈuθ ænd mˈæps ɪts sˈAvd vˈæljuz tə dˈɑkjəmˌɛntᵻd klˈæs nˈAmz." |
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| "text": "Verify that mapping before training.", |
| "speech_text": "Verify that mapping before training.", |
| "phonemes": "vˈɛɹəfˌI ðˈæt mˈæpɪŋ bəfˈɔɹ tɹˈAnɪŋ." |
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| "text": "Images and Cropping chooses the object images, channels, balancing, and held-out fraction. Group related images by plate or well so near-duplicates cannot leak between training and evaluation.", |
| "speech_text": "Images and Cropping chooses the object images, channels, balancing, and held-out fraction. Group related images by plate or well so near-duplicates cannot leak between training and evaluation.", |
| "phonemes": "ˈɪmɪʤᵻz ænd kɹˈɑpɪŋ ʧˈuzᵻz ði ˈɑbʤəkt ˈɪmɪʤᵻz, ʧˈænᵊlz, bˈælənsɪŋ, ænd hˈɛldˌWt fɹˈækʃən. ɡɹˈup ɹəlˈATᵻd ˈɪmɪʤᵻz bI plˈAt ɔɹ wˈɛl sˌO nˌɪɹdˈupləkəts kənˈɑt lˈik bətwˈin tɹˈAnɪŋ ænd əvˌæljʊˈAʃən.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 44.825, |
| "speech_end": 50.395, |
| "audible_start": 44.925000000000004, |
| "audible_end": 50.215, |
| "duration": 5.57, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.165, |
| "trimmed_tail": 0.49, |
| "text": "Images and Cropping chooses the object images, channels, balancing, and held-out fraction.", |
| "speech_text": "Images and Cropping chooses the object images, channels, balancing, and held-out fraction.", |
| "phonemes": "ˈɪmɪʤᵻz ænd kɹˈɑpɪŋ ʧˈuzᵻz ði ˈɑbʤəkt ˈɪmɪʤᵻz, ʧˈænᵊlz, bˈælənsɪŋ, ænd hˈɛldˌWt fɹˈækʃən." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 50.515, |
| "speech_end": 56.940000000000005, |
| "audible_start": 50.615, |
| "audible_end": 56.760000000000005, |
| "duration": 6.425, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.175, |
| "trimmed_tail": 0.525, |
| "text": "Group related images by plate or well so near-duplicates cannot leak between training and evaluation.", |
| "speech_text": "Group related images by plate or well so near-duplicates cannot leak between training and evaluation.", |
| "phonemes": "ɡɹˈup ɹəlˈATᵻd ˈɪmɪʤᵻz bI plˈAt ɔɹ wˈɛl sˌO nˌɪɹdˈupləkəts kənˈɑt lˈik bətwˈin tɹˈAnɪŋ ænd əvˌæljʊˈAʃən." |
| } |
| ] |
| }, |
| { |
| "scene": 6, |
| "speech_start": 57.46000000000001, |
| "speech_end": 69.76, |
| "scene_end": 70.28, |
| "duration": 12.819999999999993, |
| "text": "Model and Regularization selects the network, input channels and size, pretrained weights, normalization, and regularization expected by the images. Begin with one reasonable baseline.", |
| "speech_text": "Model and Regularization selects the network, input channels and size, pre-trained weights, normalization, and regularization expected by the images. Begin with one reasonable baseline.", |
| "phonemes": "mˈɑdᵊl ænd ɹˌɛɡjələɹəzˈAʃən səlˈɛkts ðə nˈɛtwˌɜɹk, ˈɪnpˌʊt ʧˈænᵊlz ænd sˈIz, pɹˌitɹˈAnd wˈAts, nˌɔɹmələzˈAʃən, ænd ɹˌɛɡjələɹəzˈAʃən ɪkspˈɛktᵻd bI ði ˈɪmɪʤᵻz. bəɡˈɪn wɪð wˈʌn ɹˈizənəbᵊl bˈAslˌIn.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 57.46000000000001, |
| "speech_end": 66.89000000000001, |
| "audible_start": 57.56000000000001, |
| "audible_end": 66.71000000000001, |
| "duration": 9.43, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.175, |
| "trimmed_tail": 0.545, |
| "text": "Model and Regularization selects the network, input channels and size, pretrained weights, normalization, and regularization expected by the images.", |
| "speech_text": "Model and Regularization selects the network, input channels and size, pre-trained weights, normalization, and regularization expected by the images.", |
| "phonemes": "mˈɑdᵊl ænd ɹˌɛɡjələɹəzˈAʃən səlˈɛkts ðə nˈɛtwˌɜɹk, ˈɪnpˌʊt ʧˈænᵊlz ænd sˈIz, pɹˌitɹˈAnd wˈAts, nˌɔɹmələzˈAʃən, ænd ɹˌɛɡjələɹəzˈAʃən ɪkspˈɛktᵻd bI ði ˈɪmɪʤᵻz." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 67.01, |
| "speech_end": 69.76, |
| "audible_start": 67.11000000000001, |
| "audible_end": 69.58000000000001, |
| "duration": 2.75, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.195, |
| "trimmed_tail": 0.405, |
| "text": "Begin with one reasonable baseline.", |
| "speech_text": "Begin with one reasonable baseline.", |
| "phonemes": "bəɡˈɪn wɪð wˈʌn ɹˈizənəbᵊl bˈAslˌIn." |
| } |
| ] |
| }, |
| { |
| "scene": 7, |
| "speech_start": 70.28, |
| "speech_end": 81.18, |
| "scene_end": 81.7, |
| "duration": 11.420000000000002, |
| "text": "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping. Change a small number of controls at a time and judge them on validation behavior.", |
| "speech_text": "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping. Change a small number of controls at a time and judge them on validation behavior.", |
| "phonemes": "tɹˈAnɪŋ ænd lˈɔs kəntˈAnz lˈɜɹnɪŋ ɹˈAt, ˌɔɡmˌɛntˈAʃən, bˈæʧᵻz, ˈɛpəks, ænd ˈɜɹli stˈɑpɪŋ. ʧˈAnʤ ɐ smˈɔl nˈʌmbəɹ ʌv kəntɹˈOlz æt ɐ tˈIm ænd ʤˈʌʤ ðˌɛm ˌɔn vˌælɪdˈAʃən bəhˈAvjəɹ.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 70.28, |
| "speech_end": 75.845, |
| "audible_start": 70.38, |
| "audible_end": 75.665, |
| "duration": 5.565, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.16, |
| "trimmed_tail": 0.5, |
| "text": "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping.", |
| "speech_text": "Training and Loss contains learning rate, augmentation, batches, epochs, and early stopping.", |
| "phonemes": "tɹˈAnɪŋ ænd lˈɔs kəntˈAnz lˈɜɹnɪŋ ɹˈAt, ˌɔɡmˌɛntˈAʃən, bˈæʧᵻz, ˈɛpəks, ænd ˈɜɹli stˈɑpɪŋ." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 75.965, |
| "speech_end": 81.18, |
| "audible_start": 76.065, |
| "audible_end": 81.0, |
| "duration": 5.215, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.16, |
| "trimmed_tail": 0.525, |
| "text": "Change a small number of controls at a time and judge them on validation behavior.", |
| "speech_text": "Change a small number of controls at a time and judge them on validation behavior.", |
| "phonemes": "ʧˈAnʤ ɐ smˈɔl nˈʌmbəɹ ʌv kəntɹˈOlz æt ɐ tˈIm ænd ʤˈʌʤ ðˌɛm ˌɔn vˌælɪdˈAʃən bəhˈAvjəɹ." |
| } |
| ] |
| }, |
| { |
| "scene": 8, |
| "speech_start": 81.7, |
| "speech_end": 92.345, |
| "scene_end": 92.865, |
| "duration": 11.164999999999992, |
| "text": "Evaluation and Results adds grouped evaluation, calibration, and strict identity and content-leakage checks. Keep final held-out data separate from model selection.", |
| "speech_text": "Evaluation and Results adds grouped evaluation, calibration, and strict identity and content-leakage checks. Keep final held-out data separate from model selection.", |
| "phonemes": "əvˌæljʊˈAʃən ænd ɹəzˈʌlts ˈædz ɡɹˈupt əvˌæljʊˈAʃən, kˌæləbɹˈAʃən, ænd stɹˈɪkt IdˈɛntəTi ænd kˈɑntɛntlˌikɪʤ ʧˈɛks. kˈip fˈInᵊl hˈɛldˌWt dˈATə sˈɛpəɹət fɹʌm mˈɑdᵊl səlˈɛkʃən.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 81.7, |
| "speech_end": 88.595, |
| "audible_start": 81.8, |
| "audible_end": 88.415, |
| "duration": 6.895, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.485, |
| "text": "Evaluation and Results adds grouped evaluation, calibration, and strict identity and content-leakage checks.", |
| "speech_text": "Evaluation and Results adds grouped evaluation, calibration, and strict identity and content-leakage checks.", |
| "phonemes": "əvˌæljʊˈAʃən ænd ɹəzˈʌlts ˈædz ɡɹˈupt əvˌæljʊˈAʃən, kˌæləbɹˈAʃən, ænd stɹˈɪkt IdˈɛntəTi ænd kˈɑntɛntlˌikɪʤ ʧˈɛks." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 88.715, |
| "speech_end": 92.345, |
| "audible_start": 88.815, |
| "audible_end": 92.165, |
| "duration": 3.63, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.175, |
| "trimmed_tail": 0.445, |
| "text": "Keep final held-out data separate from model selection.", |
| "speech_text": "Keep final held-out data separate from model selection.", |
| "phonemes": "kˈip fˈInᵊl hˈɛldˌWt dˈATə sˈɛpəɹət fɹʌm mˈɑdᵊl səlˈɛkʃən." |
| } |
| ] |
| }, |
| { |
| "scene": 9, |
| "speech_start": 92.865, |
| "speech_end": 105.46499999999999, |
| "scene_end": 105.98499999999999, |
| "duration": 13.11999999999999, |
| "text": "The same Evaluation and Results section controls full-dataset inference, saved probabilities and class calls, and representative examples. Review those outputs before using predictions biologically.", |
| "speech_text": "The same Evaluation and Results section controls full-dataset inference, saved probabilities and class calls, and representative examples. Review those outputs before using predictions biologically.", |
| "phonemes": "ðə sˈAm əvˌæljʊˈAʃən ænd ɹəzˈʌlts sˈɛkʃən kəntɹˈOlz fˌʊldˈATəsˌɛt ˈɪnfəɹəns, sˈAvd pɹˌɑbəbˈɪləTiz ænd klˈæs kˈɔlz, ænd ɹˌɛpɹəzˈɛntəTɪv ɪɡzˈæmpəlz. ɹəvjˈu ðOz ˈWtpˌʊts bəfˈɔɹ jˈuzɪŋ pɹidˈɪkʃənz bˌIəlˈɑʤəkᵊli.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 92.865, |
| "speech_end": 101.375, |
| "audible_start": 92.96499999999999, |
| "audible_end": 101.195, |
| "duration": 8.51, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.545, |
| "text": "The same Evaluation and Results section controls full-dataset inference, saved probabilities and class calls, and representative examples.", |
| "speech_text": "The same Evaluation and Results section controls full-dataset inference, saved probabilities and class calls, and representative examples.", |
| "phonemes": "ðə sˈAm əvˌæljʊˈAʃən ænd ɹəzˈʌlts sˈɛkʃən kəntɹˈOlz fˌʊldˈATəsˌɛt ˈɪnfəɹəns, sˈAvd pɹˌɑbəbˈɪləTiz ænd klˈæs kˈɔlz, ænd ɹˌɛpɹəzˈɛntəTɪv ɪɡzˈæmpəlz." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 101.49499999999999, |
| "speech_end": 105.46499999999999, |
| "audible_start": 101.595, |
| "audible_end": 105.285, |
| "duration": 3.97, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.165, |
| "trimmed_tail": 0.465, |
| "text": "Review those outputs before using predictions biologically.", |
| "speech_text": "Review those outputs before using predictions biologically.", |
| "phonemes": "ɹəvjˈu ðOz ˈWtpˌʊts bəfˈɔɹ jˈuzɪŋ pɹidˈɪkʃənz bˌIəlˈɑʤəkᵊli." |
| } |
| ] |
| }, |
| { |
| "scene": 10, |
| "speech_start": 105.98499999999999, |
| "speech_end": 118.16999999999999, |
| "scene_end": 118.68999999999998, |
| "duration": 12.704999999999998, |
| "text": "Enable Hyperparameter Search when several plausible configurations need comparison. The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status.", |
| "speech_text": "Enable hyper-parameter Search when several plausible configurations need comparison. The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status.", |
| "phonemes": "ɪnˈAbᵊl hˌIpəɹpəɹˈæməTəɹ sˈɜɹʧ wˌɛn sˈɛvəɹəl plˈɔzəbᵊl kənfˌɪɡjəɹˈAʃənz nˈid kəmpˈɛɹəsᵊn. ðə mˈɪni wˈɜɹkbˌɛnʧ ɹˈʌnz ɡɹˈupt tɹˈIᵊlz ænd dəsplˈAz ˈiʧ skˈɔɹ, fˈOld vˌɛɹiˈAʃən, pəɹˈæməTəɹz, ænd stˈATəs.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 105.98499999999999, |
| "speech_end": 111.66499999999999, |
| "audible_start": 106.08499999999998, |
| "audible_end": 111.48499999999999, |
| "duration": 5.68, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.5, |
| "text": "Enable Hyperparameter Search when several plausible configurations need comparison.", |
| "speech_text": "Enable hyper-parameter Search when several plausible configurations need comparison.", |
| "phonemes": "ɪnˈAbᵊl hˌIpəɹpəɹˈæməTəɹ sˈɜɹʧ wˌɛn sˈɛvəɹəl plˈɔzəbᵊl kənfˌɪɡjəɹˈAʃənz nˈid kəmpˈɛɹəsᵊn." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 111.78499999999998, |
| "speech_end": 118.16999999999999, |
| "audible_start": 111.88499999999999, |
| "audible_end": 117.98999999999998, |
| "duration": 6.385, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.52, |
| "text": "The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status.", |
| "speech_text": "The mini workbench runs grouped trials and displays each score, fold variation, parameters, and status.", |
| "phonemes": "ðə mˈɪni wˈɜɹkbˌɛnʧ ɹˈʌnz ɡɹˈupt tɹˈIᵊlz ænd dəsplˈAz ˈiʧ skˈɔɹ, fˈOld vˌɛɹiˈAʃən, pəɹˈæməTəɹz, ænd stˈATəs." |
| } |
| ] |
| }, |
| { |
| "scene": 11, |
| "speech_start": 118.68999999999998, |
| "speech_end": 130.69, |
| "scene_end": 131.21, |
| "duration": 12.520000000000024, |
| "text": "Search Settings defines a focused candidate space, ranking metric, grouped folds, and trial budget. Avoid broad searches that spend compute on choices the experiment cannot distinguish.", |
| "speech_text": "Search Settings defines a focused candidate space, ranking metric, grouped folds, and trial budget. Avoid broad searches that spend compute on choices the experiment cannot distinguish.", |
| "phonemes": "sˈɜɹʧ sˈɛTɪŋz dəfˈInz ɐ fˈOkəst kˈændədˌAt spˈAs, ɹˈæŋkɪŋ mˈɛtɹɪk, ɡɹˈupt fˈOldz, ænd tɹˈIᵊl bˈʌʤət. əvˈYd bɹˈɔd sˈɜɹʧᵻz ðæt spˈɛnd kəmpjˈut ˌɔn ʧˈYsᵻz ði ɪkspˈɛɹəmənt kənˈɑt dəstˈɪŋɡwɪʃ.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 118.68999999999998, |
| "speech_end": 124.98499999999999, |
| "audible_start": 118.78999999999998, |
| "audible_end": 124.80499999999998, |
| "duration": 6.295, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.155, |
| "trimmed_tail": 0.5, |
| "text": "Search Settings defines a focused candidate space, ranking metric, grouped folds, and trial budget.", |
| "speech_text": "Search Settings defines a focused candidate space, ranking metric, grouped folds, and trial budget.", |
| "phonemes": "sˈɜɹʧ sˈɛTɪŋz dəfˈInz ɐ fˈOkəst kˈændədˌAt spˈAs, ɹˈæŋkɪŋ mˈɛtɹɪk, ɡɹˈupt fˈOldz, ænd tɹˈIᵊl bˈʌʤət." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 125.10499999999999, |
| "speech_end": 130.69, |
| "audible_start": 125.20499999999998, |
| "audible_end": 130.51, |
| "duration": 5.585, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.17, |
| "trimmed_tail": 0.47, |
| "text": "Avoid broad searches that spend compute on choices the experiment cannot distinguish.", |
| "speech_text": "Avoid broad searches that spend compute on choices the experiment cannot distinguish.", |
| "phonemes": "əvˈYd bɹˈɔd sˈɜɹʧᵻz ðæt spˈɛnd kəmpjˈut ˌɔn ʧˈYsᵻz ði ɪkspˈɛɹəmənt kənˈɑt dəstˈɪŋɡwɪʃ." |
| } |
| ] |
| }, |
| { |
| "scene": 12, |
| "speech_start": 131.21, |
| "speech_end": 145.02, |
| "scene_end": 145.54000000000002, |
| "duration": 14.330000000000013, |
| "text": "Run first validates labels and splits, then trains and evaluates the configured model. Review held-out metrics and examples before applying it broadly; spaCR stores the checkpoint, predictions, settings, and run record.", |
| "speech_text": "Run first validates labels and splits, then trains and evaluates the configured model. Review held-out metrics and examples before applying it broadly; spacer stores the checkpoint, predictions, settings, and run record.", |
| "phonemes": "ɹˈʌn fˈɜɹst vˈælɪdˌAts lˈAbəlz ænd splˈɪts, ðˈɛn tɹˈAnz ænd əvˈæljʊˌAts ðə kənfˈɪɡjəɹd mˈɑdᵊl. ɹəvjˈu hˈɛldˌWt mˈɛtɹɪks ænd ɪɡzˈæmpəlz bəfˈɔɹ əplˈIɪŋ ɪt bɹˈɔdli; spˈAsəɹ stˈɔɹz ðə ʧˈɛkpˌYnt, pɹidˈɪkʃənz, sˈɛTɪŋz, ænd ɹˈʌn ɹˈɛkəɹd.", |
| "authored_hold_after": 0.7, |
| "hold_after": 0.52, |
| "base_speed": 0.94, |
| "speed_multiplier": 1.0, |
| "effective_speed": 0.94, |
| "sentences": [ |
| { |
| "sentence": 1, |
| "speech_start": 131.21, |
| "speech_end": 136.92000000000002, |
| "audible_start": 131.31, |
| "audible_end": 136.74, |
| "duration": 5.71, |
| "gap_from_previous": null, |
| "trimmed_lead": 0.165, |
| "trimmed_tail": 0.5, |
| "text": "Run first validates labels and splits, then trains and evaluates the configured model.", |
| "speech_text": "Run first validates labels and splits, then trains and evaluates the configured model.", |
| "phonemes": "ɹˈʌn fˈɜɹst vˈælɪdˌAts lˈAbəlz ænd splˈɪts, ðˈɛn tɹˈAnz ænd əvˈæljʊˌAts ðə kənfˈɪɡjəɹd mˈɑdᵊl." |
| }, |
| { |
| "sentence": 2, |
| "speech_start": 137.04000000000002, |
| "speech_end": 145.02, |
| "audible_start": 137.14000000000001, |
| "audible_end": 144.84, |
| "duration": 7.98, |
| "gap_from_previous": 0.4, |
| "trimmed_lead": 0.165, |
| "trimmed_tail": 0.555, |
| "text": "Review held-out metrics and examples before applying it broadly; spaCR stores the checkpoint, predictions, settings, and run record.", |
| "speech_text": "Review held-out metrics and examples before applying it broadly; spacer stores the checkpoint, predictions, settings, and run record.", |
| "phonemes": "ɹəvjˈu hˈɛldˌWt mˈɛtɹɪks ænd ɪɡzˈæmpəlz bəfˈɔɹ əplˈIɪŋ ɪt bɹˈɔdli; spˈAsəɹ stˈɔɹz ðə ʧˈɛkpˌYnt, pɹidˈɪkʃənz, sˈɛTɪŋz, ænd ɹˈʌn ɹˈɛkəɹd." |
| } |
| ] |
| } |
| ] |
| } |
|
|
