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@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 model-best/parser/model filter=lfs diff=lfs merge=lfs -text
 model-best/transformer/model filter=lfs diff=lfs merge=lfs -text
+parser/model filter=lfs diff=lfs merge=lfs -text
+transformer/model filter=lfs diff=lfs merge=lfs -text

config.cfg

@@ -0,0 +1,149 @@
+[paths]
+train = "./modified_fa_perdt-ud-train.spacy"
+dev = "./modified_fa_perdt-ud-test.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = "pytorch"
+seed = 0
+
+[nlp]
+lang = "fa"
+pipeline = ["transformer","parser"]
+batch_size = 64
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 30
+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 = 128
+maxout_pieces = 3
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[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 = "HooshVareLab/bert-base-parsbert-uncased"
+mixed_precision = false
+
+[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]
+accumulate_gradient = 3
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+patience = 1600
+max_epochs = 10
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+before_to_disk = null
+before_update = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_padded.v1"
+discard_oversize = true
+size = 2000
+buffer = 256
+get_length = null
+
+[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 = false
+eps = 0.00000001
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 0.00005
+
+[training.score_weights]
+dep_uas = 0.5
+dep_las = 0.5
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.0
+
+[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]

meta.json

@@ -0,0 +1,240 @@
+{
+  "lang":"fa",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.6.0,<3.7.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"6fc153a26",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null,
+    "mode":"default"
+  },
+  "labels":{
+    "transformer":[
+
+    ],
+    "parser":[
+      "ROOT",
+      "acl",
+      "advcl",
+      "advmod",
+      "amod",
+      "appos",
+      "aux",
+      "case",
+      "cc",
+      "ccomp",
+      "compound",
+      "compound:lvc",
+      "conj",
+      "cop",
+      "csubj",
+      "dep",
+      "det",
+      "fixed",
+      "flat:name",
+      "flat:num",
+      "mark",
+      "nmod",
+      "nsubj",
+      "nsubj:pass",
+      "nummod",
+      "obj",
+      "obl",
+      "obl:arg",
+      "parataxis",
+      "punct",
+      "vocative",
+      "xcomp"
+    ]
+  },
+  "pipeline":[
+    "transformer",
+    "parser"
+  ],
+  "components":[
+    "transformer",
+    "parser"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
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+    "parser_loss":27737.3522237188
+  }
+}

parser/cfg

@@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":30,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

parser/model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a7f4a6eddf96fa6ee22b8fa30e330f59d6d2edae1b41d32a1ec583d3db7fb93f
+size 1386291

parser/moves

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+��moves��{"0":{"":238191},"1":{"":188111},"2":{"case":49937,"compound:lvc":29540,"obl":24785,"nsubj":24125,"cc":19035,"obj":17923,"obl:arg":16614,"mark":10757,"det":9240,"advmod":7782,"xcomp":6085,"aux":5885,"punct":4986,"nummod":4783,"nmod":1784,"advcl":1588,"amod":1016,"nsubj:pass":469,"case||nmod":200,"obl||conj":162,"vocative":160,"advcl||conj":126,"nmod||nmod":101,"conj||nsubj":101,"dep":100,"nsubj||conj":75,"nsubj||ccomp":63,"nmod||obj":54,"ccomp":45,"advmod||conj":45,"nsubj||csubj":43,"obl:arg||xcomp":36,"nsubj||acl":35,"obl||ccomp":33,"nmod||obl:arg":33,"nmod||nsubj":31,"obj||ccomp":30},"3":{"nmod":52861,"punct":34882,"conj":20793,"amod":19292,"case":13957,"flat:name":7155,"acl":6903,"ccomp":6103,"aux":5697,"cop":4630,"obl":2649,"obl:arg":2617,"advcl":2083,"dep":1695,"appos":879,"csubj":619,"flat:num":565,"acl||obj":498,"acl||nmod":410,"advmod":381,"conj||xcomp":368,"acl||nsubj":358,"acl||obl":350,"acl||obl:arg":263,"xcomp":172,"acl||xcomp":171,"nummod":134,"ccomp||xcomp":133,"fixed":129,"nmod||compound:lvc":102,"cc":100,"nsubj":98,"cc||conj":87,"obj":77,"parataxis":74,"conj||nsubj":57,"nmod||nmod":49,"nmod||conj":41,"compound":40,"nmod||obj":30},"4":{"ROOT":26196}}�cfg��neg_key�

tokenizer

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transformer/cfg

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+}

transformer/model

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+size 655472667

vocab/key2row

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vocab/lookups.bin

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+size 1

vocab/vectors.cfg

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+}