Upload TFBertForQuestionAnswering

README.md

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 ---
 license: apache-2.0
+base_model: bert-large-uncased-whole-word-masking-finetuned-squad
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset
+  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. -->
+
+# bert-large-uncased-whole-word-masking-finetuned-intel-oneapi-llm-dataset
+
+This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.3381
+- Train End Logits Accuracy: 0.4801
+- Train Start Logits Accuracy: 0.4324
+- Validation Loss: 2.1970
+- Validation End Logits Accuracy: 0.5132
+- Validation Start Logits Accuracy: 0.4554
+- Epoch: 1
+
+## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 8844, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
+|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
+| 2.4656     | 0.4710                    | 0.4189                      | 2.2246          | 0.5103                         | 0.4548                           | 0     |
+| 2.3381     | 0.4801                    | 0.4324                      | 2.1970          | 0.5132                         | 0.4554                           | 1     |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- TensorFlow 2.12.0
+- Datasets 2.14.5
+- Tokenizers 0.14.0

config.json

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+{
+  "_name_or_path": "bert-large-uncased-whole-word-masking-finetuned-squad",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.34.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5f9cfe2644406286e98f901ed2dcc9529d3a242671995fb6fb80d7a377481a00
+size 1336926952