| [paths] | |
| train = "corpus/train-128.spacy" | |
| dev = "corpus/dev.spacy" | |
| vectors = null | |
| init_tok2vec = null | |
| [system] | |
| gpu_allocator = null | |
| seed = 0 | |
| [nlp] | |
| lang = "en" | |
| pipeline = ["textcat"] | |
| batch_size = 1000 | |
| disabled = [] | |
| before_creation = null | |
| after_creation = null | |
| after_pipeline_creation = null | |
| tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} | |
| [components] | |
| [components.textcat] | |
| factory = "textcat" | |
| scorer = {"@scorers":"spacy.textcat_scorer.v1"} | |
| threshold = 0.5 | |
| [components.textcat.model] | |
| @architectures = "spacy.TextCatBOW.v2" | |
| exclusive_classes = true | |
| ngram_size = 1 | |
| no_output_layer = false | |
| nO = null | |
| [corpora] | |
| [corpora.dev] | |
| @readers = "spacy.Corpus.v1" | |
| path = ${paths.dev} | |
| max_length = 0 | |
| gold_preproc = false | |
| limit = 0 | |
| augmenter = null | |
| [corpora.train] | |
| @readers = "spacy.Corpus.v1" | |
| path = ${paths.train} | |
| max_length = 0 | |
| gold_preproc = false | |
| limit = 0 | |
| augmenter = null | |
| [training] | |
| dev_corpus = "corpora.dev" | |
| train_corpus = "corpora.train" | |
| seed = ${system.seed} | |
| gpu_allocator = ${system.gpu_allocator} | |
| dropout = 0.1 | |
| accumulate_gradient = 1 | |
| patience = 80 | |
| max_epochs = 100 | |
| max_steps = 20000 | |
| eval_frequency = 10 | |
| frozen_components = [] | |
| annotating_components = [] | |
| before_to_disk = null | |
| [training.batcher] | |
| @batchers = "spacy.batch_by_words.v1" | |
| discard_oversize = false | |
| tolerance = 0.2 | |
| get_length = null | |
| [training.batcher.size] | |
| @schedules = "compounding.v1" | |
| start = 100 | |
| stop = 1000 | |
| compound = 1.001 | |
| t = 0.0 | |
| [training.logger] | |
| @loggers = "spacy.WandbLogger.v3" | |
| project_name = "spacy-setfit-textcat" | |
| remove_config_values = [] | |
| model_log_interval = null | |
| log_dataset_dir = null | |
| entity = null | |
| run_name = null | |
| [training.optimizer] | |
| @optimizers = "Adam.v1" | |
| beta1 = 0.9 | |
| beta2 = 0.999 | |
| L2_is_weight_decay = true | |
| L2 = 0.01 | |
| grad_clip = 1.0 | |
| use_averages = false | |
| eps = 0.00000001 | |
| learn_rate = 0.001 | |
| [training.score_weights] | |
| cats_score = 1.0 | |
| cats_score_desc = null | |
| cats_micro_p = null | |
| cats_micro_r = null | |
| cats_micro_f = null | |
| cats_macro_p = null | |
| cats_macro_r = null | |
| cats_macro_f = null | |
| cats_macro_auc = null | |
| cats_f_per_type = null | |
| cats_macro_auc_per_type = null | |
| [pretraining] | |
| [initialize] | |
| vectors = ${paths.vectors} | |
| init_tok2vec = ${paths.init_tok2vec} | |
| vocab_data = null | |
| lookups = null | |
| before_init = null | |
| after_init = null | |
| [initialize.components] | |
| [initialize.tokenizer] |