https://platform.instabase.com/docs/26.01/extract-classify/ibformers/index.html Recent content in ML Studio dependencies on Instabase Platform Documentation Hugo -- gohugo.io en-us https://platform.instabase.com/docs/26.01/extract-classify/ibformers/ibformers-2.2.0/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://platform.instabase.com/docs/26.01/extract-classify/ibformers/ibformers-2.2.0/index.html Table of Contents What’s new in v2.0 Supported models & pipelines Extraction Classification Split classification Table extraction Additional model characteristics Metrics Extraction metrics Table extraction metrics Classification & Split Classification metrics Calibration Pruning How it works Sparsity Suported models Pruning job time Visual Entity Supported models Key parameters for visual entities GPU allocation modes partial multi_gpu Hyperparameters description num_train_epochs learning_rate lr_scheduler_type warmup_ratio weight_decay batch_size gradient_accumulation_steps max_length chunk_overlap loss_type class_weights class_weights_ins_power max_no_annotation_examples_share npages_to_filter early_stopping_patience metric_for_best_model validation_set_size do_hyperparam_optimization hp_search_num_trials hp_search_objective_name is_retraining model_version enable_long_doc_pipeline enable_multilabel_extraction enable_onnx_runtime_optimization permute_records_for_split enable_split_classification_augmentation max_augmentation_factor max_sequence_length sequence_overlap What’s new in v2. https://platform.instabase.com/docs/26.01/extract-classify/ibformers/ibformers-2.3.2/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://platform.instabase.com/docs/26.01/extract-classify/ibformers/ibformers-2.3.2/index.html Table of Contents What’s new in v2.3 Supported models & pipelines Extraction Classification Split classification Table extraction Additional model characteristics Metrics Extraction metrics Table extraction metrics Classification & Split Classification metrics Calibration Pruning How it works Sparsity Suported models Pruning job time Visual Entity Supported models Key parameters for visual entities GPU allocation modes partial multi_gpu Hyperparameters description num_train_epochs learning_rate lr_scheduler_type warmup_ratio weight_decay batch_size gradient_accumulation_steps max_length chunk_overlap loss_type class_weights class_weights_ins_power max_no_annotation_examples_share npages_to_filter early_stopping_patience metric_for_best_model validation_set_size do_hyperparam_optimization hp_search_num_trials hp_search_objective_name is_retraining model_version enable_long_doc_pipeline enable_multilabel_extraction enable_onnx_runtime_optimization permute_records_for_split enable_split_classification_augmentation max_augmentation_factor max_sequence_length sequence_overlap What’s new in v2.