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|---|---|---|---|---|---|---|
1 | en | af_alloy | 1.03 | 24,000 | 230.35 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and rep... |
1 | en | af_aoede | 1.03 | 24,000 | 248.925 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and rep... |
1 | en | af_bella | 1.03 | 24,000 | 262.725 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and repr... |
1 | en | af_heart | 1.03 | 24,000 | 250.65 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | af_jessica | 1.03 | 24,000 | 218.25 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | af_kore | 1.03 | 24,000 | 254.025 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | af_nicole | 1.03 | 24,000 | 375.9 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and reproduc... |
1 | en | af_nova | 1.03 | 24,000 | 227.65 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | af_river | 1.03 | 24,000 | 214.9 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | af_sarah | 1.03 | 24,000 | 251.5 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progres... |
1 | en | af_sky | 1.03 | 24,000 | 240.975 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | am_adam | 1.03 | 24,000 | 242.65 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and reproduc... |
1 | en | am_echo | 1.03 | 24,000 | 232.2 | [
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | am_eric | 1.03 | 24,000 | 216.525 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and rep... |
1 | en | am_fenrir | 1.03 | 24,000 | 250.725 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | am_liam | 1.03 | 24,000 | 221.625 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and repro... |
1 | en | am_michael | 1.03 | 24,000 | 274.05 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress... |
1 | en | am_onyx | 1.03 | 24,000 | 231.775 | [
{
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"speech_start": 0,
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and reproduc... |
1 | en | am_puck | 1.03 | 24,000 | 247.675 | [
{
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progre... |
1 | en | am_santa | 1.03 | 24,000 | 250.7 | [
{
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"scene_end": 15.325,
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"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | bf_alice | 1.03 | 24,000 | 240.35 | [
{
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"duration": 14.6,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and repr... |
1 | en | bf_emma | 1.03 | 24,000 | 236.425 | [
{
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"speech_start": 0,
"speech_end": 14.1,
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"duration": 14.549999999999999,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress... |
1 | en | bf_isabella | 1.03 | 24,000 | 237.75 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 14.1,
"scene_end": 14.549999999999999,
"duration": 14.549999999999999,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress... |
1 | en | bf_lily | 1.03 | 24,000 | 237.35 | [
{
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"speech_start": 0,
"speech_end": 14.275,
"scene_end": 14.725,
"duration": 14.725,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | bm_daniel | 1.03 | 24,000 | 226.85 | [
{
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"speech_start": 0,
"speech_end": 13.45,
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"duration": 13.899999999999999,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progres... |
1 | en | bm_fable | 1.03 | 24,000 | 229.1 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.4,
"scene_end": 13.85,
"duration": 13.85,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and rep... |
1 | en | bm_george | 1.03 | 24,000 | 266.05 | [
{
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"speech_end": 15.575,
"scene_end": 16.025,
"duration": 16.025,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | en | bm_lewis | 1.03 | 24,000 | 267.725 | [
{
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"speech_end": 15.675,
"scene_end": 16.125,
"duration": 16.125,
"text": "Train Cellpose fine-tunes a CPSAM segmentation model from paired microscopy images and instance-label masks. The console reports the selected data, training progress, checkpoint path, and... |
1 | es | ef_dora | 1.03 | 24,000 | 273.425 | [
{
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"speech_start": 0,
"speech_end": 16.775,
"scene_end": 17.224999999999998,
"duration": 17.224999999999998,
"text": "Train Cellpose ha perfeccionado un modelo de segmentación CPSAM a partir de imágenes de microscopía emparejadas y máscaras de etiqueta de instancia. La consola inf... |
1 | es | em_alex | 1.03 | 24,000 | 274.775 | [
{
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"speech_end": 16.825,
"scene_end": 17.275,
"duration": 17.275,
"text": "Train Cellpose ha perfeccionado un modelo de segmentación CPSAM a partir de imágenes de microscopía emparejadas y máscaras de etiqueta de instancia. La consola informa los datos seleccion... |
1 | es | em_santa | 1.03 | 24,000 | 275.375 | [
{
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"speech_start": 0,
"speech_end": 16.8,
"scene_end": 17.25,
"duration": 17.25,
"text": "Train Cellpose ha perfeccionado un modelo de segmentación CPSAM a partir de imágenes de microscopía emparejadas y máscaras de etiqueta de instancia. La consola informa los datos seleccionados... |
1 | fr | ff_siwis | 1.03 | 24,000 | 274.65 | [
{
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"speech_end": 15.85,
"scene_end": 16.3,
"duration": 16.3,
"text": "Train Cellpose a affiné un modèle de segmentation CPSAM à partir d'images de microscopie couplées et de masques d'étiquette d'instance. La console rapporte les données sélectionnées, les progr... |
1 | hi | hf_alpha | 1.03 | 24,000 | 305.225 | [
{
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"speech_end": 16.425,
"scene_end": 16.875,
"duration": 16.875,
"text": "ट्रेन सेलपोसेटोकन ने जोड़ी माइक्रोस्कोपी छवियों और इंस्टेंट लेबल मास्क से सीपीएसएएम सेगमेंटेशन मॉडल को ठीक-ठाक किया। कंसोल चयनित डेटा, प्रशिक्षण प्रगति, चेकपॉइंट पथ और पुनरुत्पादकता रिकॉर... |
1 | hi | hf_beta | 1.03 | 24,000 | 276.675 | [
{
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"speech_start": 0,
"speech_end": 15.125,
"scene_end": 15.575,
"duration": 15.575,
"text": "ट्रेन सेलपोसेटोकन ने जोड़ी माइक्रोस्कोपी छवियों और इंस्टेंट लेबल मास्क से सीपीएसएएम सेगमेंटेशन मॉडल को ठीक-ठाक किया। कंसोल चयनित डेटा, प्रशिक्षण प्रगति, चेकपॉइंट पथ और पुनरुत्पादकता रिकॉर... |
1 | hi | hm_omega | 1.03 | 24,000 | 319.35 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 17.4,
"scene_end": 17.849999999999998,
"duration": 17.849999999999998,
"text": "ट्रेन सेलपोसेटोकन ने जोड़ी माइक्रोस्कोपी छवियों और इंस्टेंट लेबल मास्क से सीपीएसएएम सेगमेंटेशन मॉडल को ठीक-ठाक किया। कंसोल चयनित डेटा, प्रशिक्षण प्रगति, चेकपॉइंट पथ ... |
1 | hi | hm_psi | 1.03 | 24,000 | 323.025 | [
{
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"scene_end": 18.05,
"duration": 18.05,
"text": "ट्रेन सेलपोसेटोकन ने जोड़ी माइक्रोस्कोपी छवियों और इंस्टेंट लेबल मास्क से सीपीएसएएम सेगमेंटेशन मॉडल को ठीक-ठाक किया। कंसोल चयनित डेटा, प्रशिक्षण प्रगति, चेकपॉइंट पथ और पुनरुत्पादकता रिकॉर्ड क... |
1 | it | if_sara | 1.03 | 24,000 | 275.6 | [
{
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"speech_start": 0,
"speech_end": 16.275,
"scene_end": 16.724999999999998,
"duration": 16.724999999999998,
"text": "Train Cellpose ha perfezionato un modello di segmentazione CPSAM a partire da immagini di microscopia abbinate e da maschere di etichetta di istanza. La console se... |
1 | it | im_nicola | 1.03 | 24,000 | 304.425 | [
{
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"speech_start": 0,
"speech_end": 18,
"scene_end": 18.45,
"duration": 18.45,
"text": "Train Cellpose ha perfezionato un modello di segmentazione CPSAM a partire da immagini di microscopia abbinate e da maschere di etichetta di istanza. La console segnala i dati selezionati, il p... |
1 | ja | jf_alpha | 1.03 | 24,000 | 297.625 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 17.2,
"scene_end": 17.65,
"duration": 17.65,
"text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節します. コンソールは選択されたデータ,トレーニング進捗,チェックポイント経路,再生可能な記録を報告します.",
"speech_text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節... |
1 | ja | jf_gongitsune | 1.03 | 24,000 | 349.275 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 20.075,
"scene_end": 20.525,
"duration": 20.525,
"text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節します. コンソールは選択されたデータ,トレーニング進捗,チェックポイント経路,再生可能な記録を報告します.",
"speech_text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細... |
1 | ja | jf_nezumi | 1.03 | 24,000 | 363.7 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 20.825,
"scene_end": 21.275,
"duration": 21.275,
"text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節します. コンソールは選択されたデータ,トレーニング進捗,チェックポイント経路,再生可能な記録を報告します.",
"speech_text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細... |
1 | ja | jf_tebukuro | 1.03 | 24,000 | 344.2 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 19.925,
"scene_end": 20.375,
"duration": 20.375,
"text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節します. コンソールは選択されたデータ,トレーニング進捗,チェックポイント経路,再生可能な記録を報告します.",
"speech_text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細... |
1 | ja | jm_kumo | 1.03 | 24,000 | 317.325 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 18.5,
"scene_end": 18.95,
"duration": 18.95,
"text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節します. コンソールは選択されたデータ,トレーニング進捗,チェックポイント経路,再生可能な記録を報告します.",
"speech_text": "訓練Cellposeは,ペアされた顕微鏡画像とインスタンスのラベルマスクからCPSAMセグメントモデルを細かく調節... |
1 | pt-BR | pf_dora | 1.03 | 24,000 | 263.375 | [
{
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"speech_start": 0,
"speech_end": 14.95,
"scene_end": 15.399999999999999,
"duration": 15.399999999999999,
"text": "Train Cellpose sintoniza um modelo de segmentação CPSAM a partir de imagens emparelhadas de microscopia e máscaras de rótulo de instância. O console relata os dados... |
1 | pt-BR | pm_alex | 1.03 | 24,000 | 264.275 | [
{
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"speech_start": 0,
"speech_end": 15.125,
"scene_end": 15.575,
"duration": 15.575,
"text": "Train Cellpose sintoniza um modelo de segmentação CPSAM a partir de imagens emparelhadas de microscopia e máscaras de rótulo de instância. O console relata os dados selecionados, o progre... |
1 | pt-BR | pm_santa | 1.03 | 24,000 | 266.225 | [
{
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"speech_start": 0,
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"scene_end": 15.549999999999999,
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"text": "Train Cellpose sintoniza um modelo de segmentação CPSAM a partir de imagens emparelhadas de microscopia e máscaras de rótulo de instância. O console relata os dados ... |
1 | zh-CN | zf_xiaobei | 1.03 | 24,000 | 248.8 | [
{
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"speech_start": 0,
"speech_end": 13.75,
"scene_end": 14.2,
"duration": 14.2,
"text": "培训Cellpose从配显微镜图像和实例标签面具中调整了CPSAM细分模型. 控制台报告选定的数据,训练进展,检查点路径和可复制性记录.",
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"phonemes": "pʰei↗ɕy↘nCell... |
1 | zh-CN | zf_xiaoni | 1.03 | 24,000 | 217.05 | [
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"text": "培训Cellpose从配显微镜图像和实例标签面具中调整了CPSAM细分模型. 控制台报告选定的数据,训练进展,检查点路径和可复制性记录.",
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"phonemes": "pʰei↗ɕy↘nCell... |
1 | zh-CN | zf_xiaoxiao | 1.03 | 24,000 | 213.475 | [
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"text": "培训Cellpose从配显微镜图像和实例标签面具中调整了CPSAM细分模型. 控制台报告选定的数据,训练进展,检查点路径和可复制性记录.",
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"phonemes": "pʰei↗ɕy↘nCell... |
1 | zh-CN | zf_xiaoyi | 1.03 | 24,000 | 212.55 | [
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"text": "培训Cellpose从配显微镜图像和实例标签面具中调整了CPSAM细分模型. 控制台报告选定的数据,训练进展,检查点路径和可复制性记录.",
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... |
1 | zh-CN | zm_yunjian | 1.03 | 24,000 | 210.4 | [
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... |
1 | zh-CN | zm_yunxi | 1.03 | 24,000 | 201.225 | [
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"phonemes": "pʰei↗ɕy↘... |
1 | zh-CN | zm_yunxia | 1.03 | 24,000 | 225.875 | [
{
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... |
1 | zh-CN | zm_yunyang | 1.03 | 24,000 | 197.025 | [
{
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"speech_text": "培训Cellpose从配显微镜图像和实例标签面具中调整了CPSAM细分模型. 控制台报告选定的数据,训练进展,检查点路径和可复制性记录.",
... |
1 | en | af_alloy | 1.03 | 24,000 | 211.155 | [
{
"scene": 1,
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"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | af_aoede | 1.03 | 24,000 | 231.605 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.025,
"scene_end": 13.605,
"duration": 13.605,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | af_bella | 1.03 | 24,000 | 243.555 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.45,
"scene_end": 14.03,
"duration": 14.03,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | af_heart | 1.03 | 24,000 | 235.505 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.05,
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"duration": 13.63,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | af_jessica | 1.03 | 24,000 | 203.48 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.4,
"scene_end": 11.98,
"duration": 11.98,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | af_kore | 1.03 | 24,000 | 234.955 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.325,
"scene_end": 13.905,
"duration": 13.905,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | af_nicole | 1.03 | 24,000 | 354.98 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 19.775,
"scene_end": 20.354999999999997,
"duration": 20.354999999999997,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a mo... |
1 | en | af_nova | 1.03 | 24,000 | 209.83 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.675,
"scene_end": 12.255,
"duration": 12.255,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | af_river | 1.03 | 24,000 | 200.005 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.075,
"scene_end": 11.655,
"duration": 11.655,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | af_sarah | 1.03 | 24,000 | 233.855 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.8,
"scene_end": 13.38,
"duration": 13.38,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | af_sky | 1.03 | 24,000 | 223.28 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.45,
"scene_end": 13.03,
"duration": 13.03,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | am_adam | 1.03 | 24,000 | 225.455 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.525,
"scene_end": 13.105,
"duration": 13.105,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | am_echo | 1.03 | 24,000 | 212.055 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.7,
"scene_end": 12.28,
"duration": 12.28,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | am_eric | 1.03 | 24,000 | 200.78 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.125,
"scene_end": 11.705,
"duration": 11.705,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | am_fenrir | 1.03 | 24,000 | 231.43 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.2,
"scene_end": 13.78,
"duration": 13.78,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | am_liam | 1.03 | 24,000 | 206.28 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.35,
"scene_end": 11.93,
"duration": 11.93,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | am_michael | 1.03 | 24,000 | 256.305 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 14.225,
"scene_end": 14.805,
"duration": 14.805,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | am_onyx | 1.03 | 24,000 | 213.33 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.9,
"scene_end": 12.48,
"duration": 12.48,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | am_puck | 1.03 | 24,000 | 226.33 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13,
"scene_end": 13.58,
"duration": 13.58,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk."... |
1 | en | am_santa | 1.03 | 24,000 | 233.93 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.175,
"scene_end": 13.755,
"duration": 13.755,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | bf_alice | 1.03 | 24,000 | 224.63 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.9,
"scene_end": 13.48,
"duration": 13.48,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on disk... |
1 | en | bf_emma | 1.03 | 24,000 | 222.155 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.25,
"scene_end": 12.83,
"duration": 12.83,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | bf_isabella | 1.03 | 24,000 | 222.355 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.325,
"scene_end": 12.905,
"duration": 12.905,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | bf_lily | 1.03 | 24,000 | 221.505 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 12.375,
"scene_end": 12.955,
"duration": 12.955,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | bm_daniel | 1.03 | 24,000 | 210.755 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.85,
"scene_end": 12.43,
"duration": 12.43,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | en | bm_fable | 1.03 | 24,000 | 211.08 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 11.775,
"scene_end": 12.355,
"duration": 12.355,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | bm_george | 1.03 | 24,000 | 247.755 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 14.025,
"scene_end": 14.605,
"duration": 14.605,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on ... |
1 | en | bm_lewis | 1.03 | 24,000 | 249.105 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.95,
"scene_end": 14.53,
"duration": 14.53,
"text": "Training Runs is a read-only quality-control screen. It overlays saved train and validation curves and places the settings diff beside them; it never retrains a model or changes a run on dis... |
1 | es | ef_dora | 1.03 | 24,000 | 250.755 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13,
"scene_end": 13.58,
"duration": 13.58,
"text": "Training Runs es una pantalla de control de calidad sólo para lectura. Superpone las curvas de tren y validación guardadas y coloca las configuraciones dif junto a ellas; nunca reestrena un mod... |
1 | es | em_alex | 1.03 | 24,000 | 251.68 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.05,
"scene_end": 13.63,
"duration": 13.63,
"text": "Training Runs es una pantalla de control de calidad sólo para lectura. Superpone las curvas de tren y validación guardadas y coloca las configuraciones dif junto a ellas; nunca reestrena un ... |
1 | es | em_santa | 1.03 | 24,000 | 252.58 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.075,
"scene_end": 13.655,
"duration": 13.655,
"text": "Training Runs es una pantalla de control de calidad sólo para lectura. Superpone las curvas de tren y validación guardadas y coloca las configuraciones dif junto a ellas; nunca reestrena ... |
1 | fr | ff_siwis | 1.03 | 24,000 | 244.08 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 14.6,
"scene_end": 15.18,
"duration": 15.18,
"text": "Training Runs est un écran de contrôle de qualité pour lecture seulement. Il superpose les courbes de train et de validation enregistrées et place les paramètres diff à côté d'elles; il ne re... |
1 | hi | hf_alpha | 1.03 | 24,000 | 282.23 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 17.725,
"scene_end": 18.305,
"duration": 18.305,
"text": "प्रशिक्षण रन केवल पढ़ने के लिए गुणवत्ता नियंत्रण स्क्रीन है। यह सहेजे गए ट्रेन और सत्यापन वक्रों को ओवरलैप करता है और सेटिंग्स को उनके बगल में रखता है; यह कभी भी मॉडल को फिर से प्रशिक्षित... |
1 | hi | hf_beta | 1.03 | 24,000 | 250.98 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 15.625,
"scene_end": 16.205,
"duration": 16.205,
"text": "प्रशिक्षण रन केवल पढ़ने के लिए गुणवत्ता नियंत्रण स्क्रीन है। यह सहेजे गए ट्रेन और सत्यापन वक्रों को ओवरलैप करता है और सेटिंग्स को उनके बगल में रखता है; यह कभी भी मॉडल को फिर से प्रशिक्षित... |
1 | hi | hm_omega | 1.03 | 24,000 | 293.205 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 18.775,
"scene_end": 19.354999999999997,
"duration": 19.354999999999997,
"text": "प्रशिक्षण रन केवल पढ़ने के लिए गुणवत्ता नियंत्रण स्क्रीन है। यह सहेजे गए ट्रेन और सत्यापन वक्रों को ओवरलैप करता है और सेटिंग्स को उनके बगल में रखता है; यह कभी भी म... |
1 | hi | hm_psi | 1.03 | 24,000 | 295.705 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 18.775,
"scene_end": 19.354999999999997,
"duration": 19.354999999999997,
"text": "प्रशिक्षण रन केवल पढ़ने के लिए गुणवत्ता नियंत्रण स्क्रीन है। यह सहेजे गए ट्रेन और सत्यापन वक्रों को ओवरलैप करता है और सेटिंग्स को उनके बगल में रखता है; यह कभी भी म... |
1 | it | if_sara | 1.03 | 24,000 | 252.03 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 14,
"scene_end": 14.58,
"duration": 14.58,
"text": "Training Runs è uno schermo di controllo di qualità solo per lettura. Esso sovrappone le curve di accettazione e di convalidazione salvate e colloca le impostazioni diff accanto a esse; non rif... |
1 | it | im_nicola | 1.03 | 24,000 | 278.83 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 15.625,
"scene_end": 16.205,
"duration": 16.205,
"text": "Training Runs è uno schermo di controllo di qualità solo per lettura. Esso sovrappone le curve di accettazione e di convalidazione salvate e colloca le impostazioni diff accanto a esse; n... |
1 | ja | jf_alpha | 1.03 | 24,000 | 281.03 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 15.5,
"scene_end": 16.08,
"duration": 16.08,
"text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,ディスクの実行を変更したりしません.",
"speech_text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,... |
1 | ja | jf_gongitsune | 1.03 | 24,000 | 331.43 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 18.925,
"scene_end": 19.505,
"duration": 19.505,
"text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,ディスクの実行を変更したりしません.",
"speech_text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練... |
1 | ja | jf_nezumi | 1.03 | 24,000 | 342.205 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 19.675,
"scene_end": 20.255,
"duration": 20.255,
"text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,ディスクの実行を変更したりしません.",
"speech_text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練... |
1 | ja | jf_tebukuro | 1.03 | 24,000 | 325.455 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 18.475,
"scene_end": 19.055,
"duration": 19.055,
"text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,ディスクの実行を変更したりしません.",
"speech_text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練... |
1 | ja | jm_kumo | 1.03 | 24,000 | 300.73 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 17.35,
"scene_end": 17.93,
"duration": 17.93,
"text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり,ディスクの実行を変更したりしません.",
"speech_text": "トレーニング・ランスは 読み込みのみの 品質管理画面です 保存された電車と検証曲線を重ねて,その隣に設定diffを配置します. モデルを再訓練したり... |
1 | pt-BR | pf_dora | 1.03 | 24,000 | 238.605 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.25,
"scene_end": 13.83,
"duration": 13.83,
"text": "O Training Runs é uma tela de controlo de qualidade apenas para leitura. Ele superpõe as curvas de treinamento e validação salvas e coloca as configurações dif ao lado delas; nunca reestrena... |
1 | pt-BR | pm_alex | 1.03 | 24,000 | 239.455 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.275,
"scene_end": 13.855,
"duration": 13.855,
"text": "O Training Runs é uma tela de controlo de qualidade apenas para leitura. Ele superpõe as curvas de treinamento e validação salvas e coloca as configurações dif ao lado delas; nunca reestr... |
1 | pt-BR | pm_santa | 1.03 | 24,000 | 241.255 | [
{
"scene": 1,
"speech_start": 0,
"speech_end": 13.375,
"scene_end": 13.955,
"duration": 13.955,
"text": "O Training Runs é uma tela de controlo de qualidade apenas para leitura. Ele superpõe as curvas de treinamento e validação salvas e coloca as configurações dif ao lado delas; nunca reestr... |
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