add model

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-model-english
+  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-model-english
+
+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: 0.1408
+- Train Sparse Categorical Accuracy: 0.9512
+- Validation Loss: nan
+- Validation Sparse Categorical Accuracy: 0.0
+- Epoch: 4
+
+## 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
+|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
+| 0.2775     | 0.8887                            | nan             | 0.0                                    | 0     |
+| 0.1702     | 0.9390                            | nan             | 0.0                                    | 1     |
+| 0.1300     | 0.9555                            | nan             | 0.0                                    | 2     |
+| 0.1346     | 0.9544                            | nan             | 0.0                                    | 3     |
+| 0.1408     | 0.9512                            | nan             | 0.0                                    | 4     |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- TensorFlow 2.7.0
+- Datasets 1.18.3
+- Tokenizers 0.11.0

config.json

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+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": "4.16.2",
+  "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:f45c58f5818b93b0035ed797973ca272e0c84d26c198eb257bd34f694c596691
+size 433535320