End of training

README.md

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+---
+license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
+tags:
+- generated_from_keras_callback
+model-index:
+- name: chosenone80/ner-test-1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# chosenone80/ner-test-1
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.2042
+- Validation Loss: 0.1926
+- Train Precision: 0.8860
+- Train Recall: 0.8988
+- Train F1: 0.8923
+- Train Accuracy: 0.9364
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16141, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.2042     | 0.1926          | 0.8860          | 0.8988       | 0.8923   | 0.9364         | 0     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- TensorFlow 2.15.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,111 @@
+{
+  "_name_or_path": "CAMeL-Lab/bert-base-arabic-camelbert-ca",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Allah",
+    "1": "I-Allah",
+    "10": "B-Day",
+    "11": "I-Day",
+    "12": "B-Hell",
+    "13": "I-Hell",
+    "14": "B-Loc",
+    "15": "I-Loc",
+    "16": "B-Meas",
+    "17": "I-Meas",
+    "18": "B-Mon",
+    "19": "I-Mon",
+    "2": "B-Book",
+    "20": "B-Month",
+    "21": "I-Month",
+    "22": "B-NatOb",
+    "23": "I-NatOb",
+    "24": "B-NUM",
+    "25": "I-NUM",
+    "26": "O",
+    "27": "B-Org",
+    "28": "I-Org",
+    "29": "B-Para",
+    "3": "I-Book",
+    "30": "I-Para",
+    "31": "B-Pers",
+    "32": "I-Pers",
+    "33": "B-Prophet",
+    "34": "I-Prophet",
+    "35": "B-Rlig",
+    "36": "I-Rlig",
+    "37": "B-Sect",
+    "38": "I-Sect",
+    "39": "B-Time",
+    "4": "B-Clan",
+    "40": "I-Time",
+    "5": "I-Clan",
+    "6": "B-Crime",
+    "7": "I-Crime",
+    "8": "B-Date",
+    "9": "I-Date"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Allah": "0",
+    "B-Book": "2",
+    "B-Clan": "4",
+    "B-Crime": "6",
+    "B-Date": "8",
+    "B-Day": "10",
+    "B-Hell": "12",
+    "B-Loc": "14",
+    "B-Meas": "16",
+    "B-Mon": "18",
+    "B-Month": "20",
+    "B-NUM": "24",
+    "B-NatOb": "22",
+    "B-Org": "27",
+    "B-Para": "29",
+    "B-Pers": "31",
+    "B-Prophet": "33",
+    "B-Rlig": "35",
+    "B-Sect": "37",
+    "B-Time": "39",
+    "I-Allah": "1",
+    "I-Book": "3",
+    "I-Clan": "5",
+    "I-Crime": "7",
+    "I-Date": "9",
+    "I-Day": "11",
+    "I-Hell": "13",
+    "I-Loc": "15",
+    "I-Meas": "17",
+    "I-Mon": "19",
+    "I-Month": "21",
+    "I-NUM": "25",
+    "I-NatOb": "23",
+    "I-Org": "28",
+    "I-Para": "30",
+    "I-Pers": "32",
+    "I-Prophet": "34",
+    "I-Rlig": "36",
+    "I-Sect": "38",
+    "I-Time": "40",
+    "O": "26"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5c648b8070693f20218ed74595b4e56f6ef1edcc47e36ee647be9a89d30fcfe9
+size 434362476

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
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+      "single_word": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "full_tokenizer_file": null,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}