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lener_bert/README.md

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+---
+license: mit
+base_model: neuralmind/bert-base-portuguese-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: gioandrade/lener_bert
+  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. -->
+
+# gioandrade/lener_bert
+
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0111
+- Validation Loss: 0.1142
+- 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': 11742, '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 | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.0895     | 0.1173          | 0     |
+| 0.0211     | 0.1138          | 1     |
+| 0.0111     | 0.1142          | 2     |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- TensorFlow 2.13.0
+- Datasets 2.14.5
+- Tokenizers 0.13.3

lener_bert/config.json

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+{
+  "_name_or_path": "neuralmind/bert-base-portuguese-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PESSOA",
+    "2": "I-PESSOA",
+    "3": "B-JURISPRUDENCIA",
+    "4": "B-LEGISLACAO",
+    "5": "B-TEMPO",
+    "6": "B-LOCAL",
+    "7": "I-LOCAL",
+    "8": "I-LEGISLACAO",
+    "9": "B-ORGANIZACAO",
+    "10": "I-ORGANIZACAO",
+    "11": "I-JURISPRUDENCIA",
+    "12": "I-TEMPO"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-JURISPRUDENCIA": 3,
+    "B-LEGISLACAO": 4,
+    "B-LOCAL": 6,
+    "B-ORGANIZACAO": 9,
+    "B-PESSOA": 1,
+    "B-TEMPO": 5,
+    "I-JURISPRUDENCIA": 11,
+    "I-LEGISLACAO": 8,
+    "I-LOCAL": 7,
+    "I-ORGANIZACAO": 10,
+    "I-PESSOA": 2,
+    "I-TEMPO": 12,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.33.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

lener_bert/special_tokens_map.json

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

lener_bert/tf_model.h5

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+size 433655804

lener_bert/tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "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]"
+}