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/model_save
+  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/model_save
+
+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: 0.0906
+- Validation Loss: 0.1264
+- Train Precision: 0.9146
+- Train Recall: 0.9154
+- Train F1: 0.9150
+- Train Accuracy: 0.9657
+- Epoch: 2
+
+## 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': 48420, '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 |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.1373     | 0.1417          | 0.9105          | 0.9060       | 0.9083   | 0.9628         | 0     |
+| 0.1023     | 0.1244          | 0.9116          | 0.9136       | 0.9126   | 0.9643         | 1     |
+| 0.0906     | 0.1264          | 0.9146          | 0.9154       | 0.9150   | 0.9657         | 2     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- TensorFlow 2.15.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,71 @@
+{
+  "_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": "Allah",
+    "1": "Book",
+    "2": "Clan",
+    "3": "Crime",
+    "4": "Date",
+    "5": "Day",
+    "6": "Hell",
+    "7": "Loc",
+    "8": "Meas",
+    "9": "Mon",
+    "10": "Month",
+    "11": "NatOb",
+    "12": "Number",
+    "13": "O",
+    "14": "Org",
+    "15": "Para",
+    "16": "Pers",
+    "17": "Prophet",
+    "18": "Rlig",
+    "19": "Sect",
+    "20": "Time"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Allah": 0,
+    "Book": 1,
+    "Clan": 2,
+    "Crime": 3,
+    "Date": 4,
+    "Day": 5,
+    "Hell": 6,
+    "Loc": 7,
+    "Meas": 8,
+    "Mon": 9,
+    "Month": 10,
+    "NatOb": 11,
+    "Number": 12,
+    "O": 13,
+    "Org": 14,
+    "Para": 15,
+    "Pers": 16,
+    "Prophet": 17,
+    "Rlig": 18,
+    "Sect": 19,
+    "Time": 20
+  },
+  "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

@@ -0,0 +1,7 @@
+{
+  "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 sha256:823503901da329ca9699e31349514faee95271163a3e785911c3c812fd8572fe
+size 434313244

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "4": {
+      "content": "[MASK]",
+      "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]"
+}