Upload TFBertForTokenClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: NERTESTING
+  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. -->
+
+# NERTESTING
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0080
+- Validation Loss: 0.2646
+- Epoch: 12
+
+## 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': 28900, '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 |
+|:----------:|:---------------:|:-----:|
+| 0.4750     | 0.1843          | 0     |
+| 0.1754     | 0.2091          | 1     |
+| 0.1081     | 0.1819          | 2     |
+| 0.0658     | 0.2115          | 3     |
+| 0.0463     | 0.2220          | 4     |
+| 0.0281     | 0.1990          | 5     |
+| 0.0268     | 0.2807          | 6     |
+| 0.0249     | 0.3543          | 7     |
+| 0.0178     | 0.2623          | 8     |
+| 0.0122     | 0.3002          | 9     |
+| 0.0137     | 0.2659          | 10    |
+| 0.0111     | 0.2615          | 11    |
+| 0.0080     | 0.2646          | 12    |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- TensorFlow 2.8.2
+- Datasets 2.5.1
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "bert-base-cased",
+  "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": "O",
+    "1": "B-Brand",
+    "10": "I-TM",
+    "2": "I-brand",
+    "3": "B-Model",
+    "4": "I-Model",
+    "5": "B-Tipe",
+    "6": "I-Tipe",
+    "7": "B-CC",
+    "8": "I-CC",
+    "9": "B-TM"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Brand": "1",
+    "B-CC": "7",
+    "B-Model": "3",
+    "B-TM": "9",
+    "B-Tipe": "5",
+    "I-CC": "8",
+    "I-Model": "4",
+    "I-TM": "10",
+    "I-Tipe": "6",
+    "I-brand": "2",
+    "O": "0"
+  },
+  "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": "4.22.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2c4bb67c4c70e979989717ab5ab5df35b00b3eb7cfad26f3f4b8930e72e4fe83
+size 431198260