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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+transformer/model filter=lfs diff=lfs merge=lfs -text

config.cfg

@@ -0,0 +1,166 @@
+[paths]
+train = "./train.spacy"
+dev = "./val.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = "pytorch"
+seed = 0
+
+[nlp]
+lang = "ar"
+pipeline = ["transformer","ner","tagger"]
+batch_size = 128
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = false
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.tagger]
+factory = "tagger"
+label_smoothing = 0.0
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.tagger.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 = "asafaya/bert-base-arabic"
+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 = 0
+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]
+ents_f = 0.5
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+tag_acc = 0.5
+
+[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 +1,106 @@
+{
+  "lang":"ar",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.7.5,<3.8.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"a6d0fc360",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null,
+    "mode":"default"
+  },
+  "labels":{
+    "transformer":[
+
+    ],
+    "ner":[
+      "B",
+      "BO",
+      "I",
+      "IO"
+    ],
+    "tagger":[
+      "abbrev",
+      "adj",
+      "adj_comp",
+      "adj_num",
+      "adv",
+      "adv_interrog",
+      "adv_rel",
+      "conj",
+      "conj_sub",
+      "digit",
+      "noun",
+      "noun_num",
+      "noun_prop",
+      "noun_quant",
+      "part",
+      "part_det",
+      "part_focus",
+      "part_fut",
+      "part_interrog",
+      "part_neg",
+      "part_restrict",
+      "part_verb",
+      "prep",
+      "pron",
+      "pron_dem",
+      "pron_interrog",
+      "pron_rel",
+      "punc",
+      "verb",
+      "verb_pseudo"
+    ]
+  },
+  "pipeline":[
+    "transformer",
+    "ner",
+    "tagger"
+  ],
+  "components":[
+    "transformer",
+    "ner",
+    "tagger"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "ents_f":0.9930491196,
+    "ents_p":0.9930491196,
+    "ents_r":0.9930491196,
+    "ents_per_type":{
+      "IO":{
+        "p":0.9942707481,
+        "r":0.9988488735,
+        "f":0.9965545529
+      },
+      "B":{
+        "p":0.9909090909,
+        "r":0.8825910931,
+        "f":0.9336188437
+      },
+      "I":{
+        "p":0.9681978799,
+        "r":0.9288135593,
+        "f":0.9480968858
+      },
+      "BO":{
+        "p":0.9603524229,
+        "r":0.893442623,
+        "f":0.9256900212
+      }
+    },
+    "tag_acc":0.984553599,
+    "transformer_loss":231.188047412,
+    "ner_loss":95.6599873802,
+    "tagger_loss":446.3978238744
+  }
+}

ner/cfg

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

ner/moves

@@ -0,0 +1 @@
+��moves��{"0":{},"1":{"IO":46251,"I":1243,"B":1035,"BO":1029},"2":{"IO":46251,"I":1243,"B":1035,"BO":1029},"3":{"IO":46251,"I":1243,"B":1035,"BO":1029},"4":{"IO":46251,"I":1243,"B":1035,"BO":1029,"":1},"5":{"":1}}�cfg��neg_key�

tagger/cfg

@@ -0,0 +1,37 @@
+{
+  "label_smoothing":0.0,
+  "labels":[
+    "abbrev",
+    "adj",
+    "adj_comp",
+    "adj_num",
+    "adv",
+    "adv_interrog",
+    "adv_rel",
+    "conj",
+    "conj_sub",
+    "digit",
+    "noun",
+    "noun_num",
+    "noun_prop",
+    "noun_quant",
+    "part",
+    "part_det",
+    "part_focus",
+    "part_fut",
+    "part_interrog",
+    "part_neg",
+    "part_restrict",
+    "part_verb",
+    "prep",
+    "pron",
+    "pron_dem",
+    "pron_interrog",
+    "pron_rel",
+    "punc",
+    "verb",
+    "verb_pseudo"
+  ],
+  "neg_prefix":"!",
+  "overwrite":false
+}

tokenizer

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transformer/model

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vocab/key2row

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vocab/lookups.bin

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vocab/vectors.cfg

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