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onuralpszr committed Sep 23, 2024
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4 changes: 2 additions & 2 deletions 0.1.0/404.html
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<title>maestro</title>



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10 changes: 5 additions & 5 deletions 0.1.0/florence-2/index.html
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<title>Florence-2 - maestro</title>



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Expand Down Expand Up @@ -850,7 +850,7 @@ <h2><a href="#maestro.trainer.models.florence_2.core.Configuration">Configuratio
<div class="doc doc-contents first">


<p>Configuration for a Florence-2 model.</p>
<p>Configuration for a Florence-2 model.</p>
<p>This class encapsulates all the parameters needed for training a Florence-2 model,
including dataset paths, model specifications, training hyperparameters, and output
settings.</p>
Expand Down Expand Up @@ -1247,7 +1247,7 @@ <h2><a href="#maestro.trainer.models.florence_2.core.train">train</a></h2>
<a id="maestro.trainer.models.florence_2.core.train"></a>
<div class="doc doc-contents first">

<p>Train a Florence-2 model using the provided configuration.</p>
<p>Train a Florence-2 model using the provided configuration.</p>
<p>This function sets up the training environment, prepares the model and data loaders,
and runs the training loop. It also handles metric tracking and checkpoint saving.</p>

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<a id="maestro.trainer.models.florence_2.core.evaluate"></a>
<div class="doc doc-contents first">

<p>Evaluate a Florence-2 model using the provided configuration.</p>
<p>Evaluate a Florence-2 model using the provided configuration.</p>
<p>This function loads the model and data, runs predictions on the evaluation dataset,
computes specified metrics, and saves the results.</p>

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22 changes: 11 additions & 11 deletions 0.1.0/metrics/index.html
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<title>Metrics - maestro</title>



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Expand Down Expand Up @@ -725,7 +725,7 @@ <h2><a href="#maestro.trainer.common.MeanAveragePrecisionMetric">MeanAveragePrec
Bases: <code><span title="maestro.trainer.common.utils.metrics.BaseMetric">BaseMetric</span></code></p>


<p>A class used to compute the Mean Average Precision (mAP) metric.</p>
<p>A class used to compute the Mean Average Precision (mAP) metric.</p>
<p>mAP is a popular metric for object detection tasks, measuring the average precision
across all classes and IoU thresholds.</p>

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<div class="doc doc-contents ">

<p>Computes the mAP metrics based on the targets and predictions.</p>
<p>Computes the mAP metrics based on the targets and predictions.</p>


<p><span class="doc-section-title">Parameters:</span></p>
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<div class="doc doc-contents ">

<p>Returns a list of metric names that this class will compute.</p>
<p>Returns a list of metric names that this class will compute.</p>


<p><span class="doc-section-title">Returns:</span></p>
Expand Down Expand Up @@ -997,7 +997,7 @@ <h2><a href="#maestro.trainer.common.WordErrorRateMetric">WordErrorRateMetric</a
Bases: <code><span title="maestro.trainer.common.utils.metrics.BaseMetric">BaseMetric</span></code></p>


<p>A class used to compute the Word Error Rate (WER) metric.</p>
<p>A class used to compute the Word Error Rate (WER) metric.</p>
<p>WER measures the edit distance between predicted and reference transcriptions
at the word level, commonly used in speech recognition and machine translation.</p>

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<div class="doc doc-contents ">

<p>Computes the WER metric based on the targets and predictions.</p>
<p>Computes the WER metric based on the targets and predictions.</p>


<p><span class="doc-section-title">Parameters:</span></p>
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<div class="doc doc-contents ">

<p>Returns a list of metric names that this class will compute.</p>
<p>Returns a list of metric names that this class will compute.</p>


<p><span class="doc-section-title">Returns:</span></p>
Expand Down Expand Up @@ -1305,7 +1305,7 @@ <h2><a href="#maestro.trainer.common.CharacterErrorRateMetric">CharacterErrorRat
Bases: <code><span title="maestro.trainer.common.utils.metrics.BaseMetric">BaseMetric</span></code></p>


<p>A class used to compute the Character Error Rate (CER) metric.</p>
<p>A class used to compute the Character Error Rate (CER) metric.</p>
<p>CER is similar to WER but operates at the character level, making it useful for
tasks like optical character recognition (OCR) and handwriting recognition.</p>

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<div class="doc doc-contents ">

<p>Computes the CER metric based on the targets and predictions.</p>
<p>Computes the CER metric based on the targets and predictions.</p>


<p><span class="doc-section-title">Parameters:</span></p>
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<div class="doc doc-contents ">

<p>Returns a list of metric names that this class will compute.</p>
<p>Returns a list of metric names that this class will compute.</p>


<p><span class="doc-section-title">Returns:</span></p>
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<title>Tasks - maestro</title>



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