Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: jameswrbrookes/bert-finetuned-chunking
+  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. -->
+
+# jameswrbrookes/bert-finetuned-chunking
+
+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: 0.3336
+- Validation Loss: 0.1877
+- 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2631, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.3336     | 0.1877          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.19.4
+- TensorFlow 2.8.2
+- Datasets 2.2.2
+- 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-ADJP",
+    "10": "I-LST",
+    "11": "B-NP",
+    "12": "I-NP",
+    "13": "B-PP",
+    "14": "I-PP",
+    "15": "B-PRT",
+    "16": "I-PRT",
+    "17": "B-SBAR",
+    "18": "I-SBAR",
+    "19": "B-UCP",
+    "2": "I-ADJP",
+    "20": "I-UCP",
+    "21": "B-VP",
+    "22": "I-VP",
+    "3": "B-ADVP",
+    "4": "I-ADVP",
+    "5": "B-CONJP",
+    "6": "I-CONJP",
+    "7": "B-INTJ",
+    "8": "I-INTJ",
+    "9": "B-LST"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ADJP": "1",
+    "B-ADVP": "3",
+    "B-CONJP": "5",
+    "B-INTJ": "7",
+    "B-LST": "9",
+    "B-NP": "11",
+    "B-PP": "13",
+    "B-PRT": "15",
+    "B-SBAR": "17",
+    "B-UCP": "19",
+    "B-VP": "21",
+    "I-ADJP": "2",
+    "I-ADVP": "4",
+    "I-CONJP": "6",
+    "I-INTJ": "8",
+    "I-LST": "10",
+    "I-NP": "12",
+    "I-PP": "14",
+    "I-PRT": "16",
+    "I-SBAR": "18",
+    "I-UCP": "20",
+    "I-VP": "22",
+    "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": "4.19.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

special_tokens_map.json

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

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:14319eb012d8bec6d05d76f7a035484d9fce477103266ac9b28259cc61026a4a
+size 431235172

tokenizer_config.json

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+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-cased", "tokenizer_class": "BertTokenizer"}