Add lv_udv25_latvianlvtb_trf-0.0.1

.gitattributes

@@ -25,3 +25,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.whl filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*strings.json filter=lfs diff=lfs merge=lfs -text
+vectors filter=lfs diff=lfs merge=lfs -text
+model filter=lfs diff=lfs merge=lfs -text

LICENSE.txt

@@ -0,0 +1,427 @@
+Attribution-ShareAlike 4.0 International
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config.cfg

@@ -0,0 +1,254 @@
+[paths]
+train = "corpus/UD_Latvian-LVTB/train.spacy"
+dev = "corpus/UD_Latvian-LVTB/dev.spacy"
+vectors = null
+init_tok2vec = null
+tokenizer_source = "training/UD_Latvian-LVTB/tokenizer/model-best"
+transformer_source = "training/UD_Latvian-LVTB/transformer/model-best"
+
+[system]
+gpu_allocator = "pytorch"
+seed = 0
+
+[nlp]
+lang = "lv"
+pipeline = ["experimental_char_ner_tokenizer","transformer","senter","tagger","morphologizer","parser","experimental_edit_tree_lemmatizer"]
+batch_size = 64
+disabled = ["senter"]
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy-experimental.char_pretokenizer.v1"}
+
+[components]
+
+[components.experimental_char_ner_tokenizer]
+factory = "experimental_char_ner_tokenizer"
+scorer = {"@scorers":"spacy-experimental.tokenizer_scorer.v1"}
+
+[components.experimental_char_ner_tokenizer.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.experimental_char_ner_tokenizer.model.tok2vec]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.experimental_char_ner_tokenizer.model.tok2vec.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 128
+attrs = ["ORTH","LOWER","IS_DIGIT","IS_ALPHA","IS_SPACE","IS_PUNCT"]
+rows = [1000,500,50,50,50,50]
+include_static_vectors = false
+
+[components.experimental_char_ner_tokenizer.model.tok2vec.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 128
+depth = 4
+window_size = 4
+maxout_pieces = 2
+
+[components.experimental_edit_tree_lemmatizer]
+factory = "experimental_edit_tree_lemmatizer"
+backoff = "orth"
+min_tree_freq = 1
+overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 1
+
+[components.experimental_edit_tree_lemmatizer.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.experimental_edit_tree_lemmatizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.morphologizer]
+factory = "morphologizer"
+extend = false
+overwrite = false
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
+
+[components.morphologizer.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.morphologizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 5
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 3
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.senter]
+factory = "senter"
+overwrite = false
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
+
+[components.senter.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.senter.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.tagger]
+factory = "tagger"
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.transformer]
+factory = "transformer"
+max_batch_items = 4096
+set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v3"
+name = "xlm-roberta-base"
+mixed_precision = true
+
+[components.transformer.model.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+[components.transformer.model.grad_scaler_config]
+
+[components.transformer.model.tokenizer_config]
+use_fast = true
+
+[components.transformer.model.transformer_config]
+
+[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]
+train_corpus = "corpora.train"
+dev_corpus = "corpora.dev"
+seed = ${system:seed}
+gpu_allocator = ${system:gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 3
+patience = 5000
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+before_to_disk = null
+annotating_components = []
+
+[training.batcher]
+@batchers = "spacy.batch_by_padded.v1"
+discard_oversize = true
+get_length = null
+size = 2000
+buffer = 256
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[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 = true
+eps = 0.00000001
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 0.00005
+
+[training.score_weights]
+token_f = 0.0
+token_p = null
+token_r = null
+token_acc = null
+sents_f = 0.05
+sents_p = 0.0
+sents_r = 0.0
+tag_acc = 0.11
+pos_acc = 0.05
+morph_acc = 0.05
+morph_per_feat = null
+dep_uas = 0.11
+dep_las = 0.11
+dep_las_per_type = null
+lemma_acc = 0.52
+
+[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]

experimental_char_ner_tokenizer/cfg

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+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
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+  ],
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+  "beam_density":0.0,
+  "beam_update_prob":0.0,
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+}

experimental_char_ner_tokenizer/model

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experimental_char_ner_tokenizer/moves

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+    "vmnm0t12pay",
+    "vmnm0t12san",
+    "vmnm0t12say",
+    "vmnm0t130an",
+    "vmnm0t21san",
+    "vmnm0t21say",
+    "vmnm0t22pan",
+    "vmnm0t22san",
+    "vmnm0t22say",
+    "vmnm0t230an",
+    "vmnm0t31san",
+    "vmnm0t32pan",
+    "vmnm0t32pay",
+    "vmnm0t32san",
+    "vmnm0t32say",
+    "vmnm0ti2pan",
+    "vmnm0ti2san",
+    "vmnmpi130ay",
+    "vmnmpi32san",
+    "vmnmpii2pan",
+    "vmnmpt12pan",
+    "vmnmpt12say",
+    "vmnmpt130ay",
+    "vmnmpt22san",
+    "vmnmpt32pan",
+    "vmnmpt32san",
+    "vmnn0i1000n",
+    "vmnn0i1000y",
+    "vmnn0i100an",
+    "vmnn0i130an",
+    "vmnn0i2000n",
+    "vmnn0i2000y",
+    "vmnn0i200an",
+    "vmnn0i3000n",
+    "vmnn0i3000y",
+    "vmnn0i300an",
+    "vmnn0ii000n",
+    "vmnn0ii000y",
+    "vmnn0t1000n",
+    "vmnn0t1000y",
+    "vmnn0t100an",
+    "vmnn0t2000n",
+    "vmnn0t2000y",
+    "vmnn0t200an",
+    "vmnn0t3000n",
+    "vmnn0t3000y",
+    "vmnn0t300an",
+    "vmnn0ti000n",
+    "vmnn0ti00an",
+    "vmnpdfpaapnpn",
+    "vmnpdfpaapypn",
+    "vmnpdfpaasnpn",
+    "vmnpdfpaasypn",
+    "vmnpdfpappnpn",
+    "vmnpdfpappnpy",
+    "vmnpdfpappypn",
+    "vmnpdfpapsnpn",
+    "vmnpdfpapsnpy",
+    "vmnpdfpapsypn",
+    "vmnpdfpdapnpn",
+    "vmnpdfpdapnpy",
+    "vmnpdfpdapypn",
+    "vmnpdfpdapysn",
+    "vmnpdfpdasnpn",
+    "vmnpdfpdasypn",
+    "vmnpdfpdppnpn",
+    "vmnpdfpdppnpy",
+    "vmnpdfpdppypn",
+    "vmnpdfpdpsnpn",
+    "vmnpdfpdpsypn",
+    "vmnpdfpdpsypy",
+    "vmnpdfpgapncn",
+    "vmnpdfpgapypn",
+    "vmnpdfpgppnpn",
+    "vmnpdfpgppnpy",
+    "vmnpdfpgppypn",
+    "vmnpdfpgpsnpn",
+    "vmnpdfpgpsypn",
+    "vmnpdfplapnpn",
+    "vmnpdfplapypn",
+    "vmnpdfplasnpn",
+    "vmnpdfplasypn",
+    "vmnpdfplppnpy",
+    "vmnpdfplpsnpn",
+    "vmnpdfplpsypn",
+    "vmnpdfpnapn0n",
+    "vmnpdfpnapnpn",
+    "vmnpdfpnapnpy",
+    "vmnpdfpnapypn",
+    "vmnpdfpnasnpn",
+    "vmnpdfpnasypn",
+    "vmnpdfpnasypy",
+    "vmnpdfpnppnpn",
+    "vmnpdfpnppnpy",
+    "vmnpdfpnppypn",
+    "vmnpdfpnpsnpn",
+    "vmnpdfpnpsnpy",
+    "vmnpdfpnpsypn",
+    "vmnpdfpnpsypy",
+    "vmnpdfsaapn0n",
+    "vmnpdfsaapncn",
+    "vmnpdfsaapnpn",
+    "vmnpdfsaapnpy",
+    "vmnpdfsaapypn",
+    "vmnpdfsaasnpn",
+    "vmnpdfsaasypn",
+    "vmnpdfsappnpn",
+    "vmnpdfsappnpy",
+    "vmnpdfsappypn",
+    "vmnpdfsappypy",
+    "vmnpdfsapsncn",
+    "vmnpdfsapsnpn",
+    "vmnpdfsapsnpy",
+    "vmnpdfsapsypn",
+    "vmnpdfsdapnpn",
+    "vmnpdfsdapypn",
+    "vmnpdfsdasnpn",
+    "vmnpdfsdasypn",
+    "vmnpdfsdppnpn",
+    "vmnpdfsdppypn",
+    "vmnpdfsdpsnpn",
+    "vmnpdfsdpsnpy",
+    "vmnpdfsdpsypn",
+    "vmnpdfsgapnpn",
+    "vmnpdfsgapypn",
+    "vmnpdfsgasnpn",
+    "vmnpdfsgasypn",
+    "vmnpdfsgppnpn",
+    "vmnpdfsgppnpy",
+    "vmnpdfsgppypn",
+    "vmnpdfsgpsnpn",
+    "vmnpdfsgpsypn",
+    "vmnpdfsgpsypy",
+    "vmnpdfslapnpn",
+    "vmnpdfslapypn",
+    "vmnpdfslasnpn",
+    "vmnpdfslasypn",
+    "vmnpdfslppnpn",
+    "vmnpdfslppypn",
+    "vmnpdfslpsnpn",
+    "vmnpdfslpsypn",
+    "vmnpdfslpsypy",
+    "vmnpdfsnapnpn",
+    "vmnpdfsnapnpy",
+    "vmnpdfsnapypn",
+    "vmnpdfsnapysn",
+    "vmnpdfsnasn0n",
+    "vmnpdfsnasnpn",
+    "vmnpdfsnasnpy",
+    "vmnpdfsnasypn",
+    "vmnpdfsnppncn",
+    "vmnpdfsnppnpn",
+    "vmnpdfsnppnpy",
+    "vmnpdfsnppypn",
+    "vmnpdfsnppypy",
+    "vmnpdfsnpsncn",
+    "vmnpdfsnpsnpn",
+    "vmnpdfsnpsnpy",
+    "vmnpdfsnpsypn",
+    "vmnpdfsnpsypy",
+    "vmnpdmpaapnpn",
+    "vmnpdmpaapycn",
+    "vmnpdmpaapypn",
+    "vmnpdmpaasnpn",
+    "vmnpdmpaasypn",
+    "vmnpdmpappnpn",
+    "vmnpdmpappypn",
+    "vmnpdmpapsnpn",
+    "vmnpdmpapsnpy",
+    "vmnpdmpapsypn",
+    "vmnpdmpapsypy",
+    "vmnpdmpdapnpn",
+    "vmnpdmpdapypn",
+    "vmnpdmpdasnpn",
+    "vmnpdmpdasypn",
+    "vmnpdmpdppnpn",
+    "vmnpdmpdppycn",
+    "vmnpdmpdppypn",
+    "vmnpdmpdpsnpn",
+    "vmnpdmpdpsnpy",
+    "vmnpdmpdpsycn",
+    "vmnpdmpdpsypn",
+    "vmnpdmpdpsypy",
+    "vmnpdmpgapnpn",
+    "vmnpdmpgapypn",
+    "vmnpdmpgasnpn",
+    "vmnpdmpgasypn",
+    "vmnpdmpgppypn",
+    "vmnpdmpgpsnpn",
+    "vmnpdmpgpsypn",
+    "vmnpdmpgpsypy",
+    "vmnpdmplapnpn",
+    "vmnpdmplapypn",
+    "vmnpdmplpsnpn",
+    "vmnpdmplpsypn",
+    "vmnpdmpnapnpn",
+    "vmnpdmpnapypn",
+    "vmnpdmpnasnpn",
+    "vmnpdmpnasypn",
+    "vmnpdmpnppn0n",
+    "vmnpdmpnppnpn",
+    "vmnpdmpnppnpy",
+    "vmnpdmpnppypn",
+    "vmnpdmpnpsnpn",
+    "vmnpdmpnpsnpy",
+    "vmnpdmpnpsypn",
+    "vmnpdmpnpsypy",
+    "vmnpdmpvppypn",
+    "vmnpdmsaapnpn",
+    "vmnpdmsaapypn",
+    "vmnpdmsaasnpn",
+    "vmnpdmsaasypn",
+    "vmnpdmsappnpn",
+    "vmnpdmsappnpy",
+    "vmnpdmsappypn",
+    "vmnpdmsappypy",
+    "vmnpdmsapsnpn",
+    "vmnpdmsapsnpy",
+    "vmnpdmsapsypn",
+    "vmnpdmsapsypy",
+    "vmnpdmsdapnpn",
+    "vmnpdmsdapypn",
+    "vmnpdmsdasnpn",
+    "vmnpdmsdppnpn",
+    "vmnpdmsdppypn",
+    "vmnpdmsdppypy",
+    "vmnpdmsdpsnpn",
+    "vmnpdmsdpsypn",
+    "vmnpdmsdpsypy",
+    "vmnpdmsgapnpn",
+    "vmnpdmsgapypn",
+    "vmnpdmsgasnpn",
+    "vmnpdmsgasypn",
+    "vmnpdmsgppnpn",
+    "vmnpdmsgppy0n",
+    "vmnpdmsgppypn",
+    "vmnpdmsgppypy",
+    "vmnpdmsgpsnpn",
+    "vmnpdmsgpsycn",
+    "vmnpdmsgpsypn",
+    "vmnpdmsgpsypy",
+    "vmnpdmslapnpn",
+    "vmnpdmslapypn",
+    "vmnpdmslasnpn",
+    "vmnpdmslasypn",
+    "vmnpdmslppnpn",
+    "vmnpdmslppy0n",
+    "vmnpdmslppypn",
+    "vmnpdmslpsnpn",
+    "vmnpdmslpsypn",
+    "vmnpdmsnapnpn",
+    "vmnpdmsnapnpy",
+    "vmnpdmsnapypn",
+    "vmnpdmsnasn0n",
+    "vmnpdmsnasnpn",
+    "vmnpdmsnasnpy",
+    "vmnpdmsnasypn",
+    "vmnpdmsnppnpn",
+    "vmnpdmsnppnpy",
+    "vmnpdmsnppypn",
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+    "vmnpdmsnpsnpn",
+    "vmnpdmsnpsnpy",
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+    "vmnppfpn0000y",
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+    "vmnpu0000000y",
+    "vmnpu000000pn",
+    "vmnpu00000n0n",
+    "vmnpu000apnpn",
+    "vmnpumpgpsnpn",
+    "vmnr0t100an",
+    "vmnr0t3000n",
+    "vmnrfi100an",
+    "vmnrft100an",
+    "vmnrft200an",
+    "vmnrft200ay",
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+    "vmyn0t2000n",
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+    "vmyn0ti000n",
+    "vmypdfpaasnpn",
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+    "vmypdfpnasnpy",
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+    "vmypdfsaasnpn",
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+    "vonpdfpn00npy",
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