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Training in progress epoch 0

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Files changed (7) hide show
  1. README.md +54 -0
  2. config.json +111 -0
  3. special_tokens_map.json +7 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +58 -0
  7. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: chosenone80/bert-ner-test-3
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # chosenone80/bert-ner-test-3
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2648
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+ - Validation Loss: 0.0788
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 565, '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}
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+ - training_precision: mixed_float16
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 0.2648 | 0.0788 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - TensorFlow 2.15.0
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "CAMeL-Lab/bert-base-arabic-camelbert-ca",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "B-Allah",
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+ "1": "I-Allah",
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+ "2": "B-Book",
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+ "3": "I-Book",
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+ "4": "B-Clan",
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+ "5": "I-Clan",
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+ "6": "B-Crime",
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+ "7": "I-Crime",
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+ "8": "B-Date",
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+ "9": "I-Date",
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+ "10": "B-Day",
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+ "11": "I-Day",
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+ "12": "B-Hell",
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+ "13": "I-Hell",
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+ "14": "B-Loc",
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+ "15": "I-Loc",
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+ "16": "B-Meas",
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+ "17": "I-Meas",
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+ "18": "B-Mon",
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+ "19": "I-Mon",
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+ "20": "B-Month",
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+ "21": "I-Month",
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+ "22": "B-NatOb",
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+ "23": "I-NatOb",
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+ "24": "B-NUM",
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+ "25": "I-NUM",
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+ "26": "O",
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+ "27": "B-Org",
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+ "28": "I-Org",
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+ "29": "B-Para",
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+ "30": "I-Para",
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+ "31": "B-Pers",
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+ "32": "I-Pers",
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+ "33": "B-Prophet",
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+ "34": "I-Prophet",
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+ "35": "B-Rlig",
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+ "36": "I-Rlig",
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+ "37": "B-Sect",
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+ "38": "I-Sect",
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+ "39": "B-Time",
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+ "40": "I-Time"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "B-Allah": 0,
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+ "B-Book": 2,
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+ "B-Clan": 4,
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+ "B-Crime": 6,
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+ "I-Time": 40,
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+ "O": 26
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.37.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30000
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+ }
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+ size 434362476
tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.txt ADDED
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