Training in progress epoch 0

README.md

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+---
+license: mit
+base_model: neuralmind/bert-base-portuguese-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: eloi-goncalves/handsfree-commands-ner2
+  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. -->
+
+# eloi-goncalves/handsfree-commands-ner2
+
+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: 0.0399
+- Validation Loss: 0.0004
+- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 12693, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.0399     | 0.0004          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- TensorFlow 2.12.0
+- Datasets 2.16.2.dev0
+- Tokenizers 0.13.3

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-UNIT_NAME",
+    "2": "I-UNIT_NAME",
+    "3": "B-TEMPLATE_NAME",
+    "4": "I-TEMPLATE_NAME",
+    "5": "B-PROTOCOL_NAME",
+    "6": "I-PROTOCOL_NAME",
+    "7": "B-MACRO_NAME",
+    "8": "I-MACRO_NAME",
+    "9": "B-PATIENT_NAME",
+    "10": "I-PATIENT_NAME",
+    "11": "B-SHOWME_SPECIFIC_SCORE_MODAL",
+    "12": "I-SHOWME_SPECIFIC_SCORE_MODAL",
+    "13": "B-ROUTINE_NAME",
+    "14": "I-ROUTINE_NAME",
+    "15": "B-SUBMIT_CONTEXT",
+    "16": "I-SUBMIT_CONTEXT",
+    "17": "B-SHOWME_SPECIFIC_VITALS_MODAL",
+    "18": "I-SHOWME_SPECIFIC_VITALS_MODAL",
+    "19": "B-CLINICAL_NOTE",
+    "20": "I-CLINICAL_NOTE",
+    "21": "B-ORDER_ITEM",
+    "22": "I-ORDER_ITEM",
+    "23": "B-SHOWME_SPECIFIC_LABRESULTS_MODAL",
+    "24": "I-SHOWME_SPECIFIC_LABRESULTS_MODAL",
+    "25": "B-GO_TO_LOCATION",
+    "26": "I-GO_TO_LOCATION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-CLINICAL_NOTE": 19,
+    "B-GO_TO_LOCATION": 25,
+    "B-MACRO_NAME": 7,
+    "B-ORDER_ITEM": 21,
+    "B-PATIENT_NAME": 9,
+    "B-PROTOCOL_NAME": 5,
+    "B-ROUTINE_NAME": 13,
+    "B-SHOWME_SPECIFIC_LABRESULTS_MODAL": 23,
+    "B-SHOWME_SPECIFIC_SCORE_MODAL": 11,
+    "B-SHOWME_SPECIFIC_VITALS_MODAL": 17,
+    "B-SUBMIT_CONTEXT": 15,
+    "B-TEMPLATE_NAME": 3,
+    "B-UNIT_NAME": 1,
+    "I-CLINICAL_NOTE": 20,
+    "I-GO_TO_LOCATION": 26,
+    "I-MACRO_NAME": 8,
+    "I-ORDER_ITEM": 22,
+    "I-PATIENT_NAME": 10,
+    "I-PROTOCOL_NAME": 6,
+    "I-ROUTINE_NAME": 14,
+    "I-SHOWME_SPECIFIC_LABRESULTS_MODAL": 24,
+    "I-SHOWME_SPECIFIC_SCORE_MODAL": 12,
+    "I-SHOWME_SPECIFIC_VITALS_MODAL": 18,
+    "I-SUBMIT_CONTEXT": 16,
+    "I-TEMPLATE_NAME": 4,
+    "I-UNIT_NAME": 2,
+    "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": "4.33.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

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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+oid sha256:e457c8f70f9887d8189d17535634bc0d6536e273cd52755319b9ec281fe2477e
+size 433686580

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "is_split_into_words": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "return_offsets_mapping": true,
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}