add model

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbertbaseuncasedz
+  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. -->
+
+# distilbertbaseuncasedz
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.5368
+- Train End Logits Accuracy: 0.8401
+- Train Start Logits Accuracy: 0.8078
+- Validation Loss: 1.2427
+- Validation End Logits Accuracy: 0.7050
+- Validation Start Logits Accuracy: 0.6725
+- Epoch: 3
+
+## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 29508, '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}
+- 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 |
+|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
+| 1.3338     | 0.6448                    | 0.6045                      | 1.1322          | 0.6906                         | 0.6563                           | 0     |
+| 0.9044     | 0.7466                    | 0.7090                      | 1.0996          | 0.7032                         | 0.6720                           | 1     |
+| 0.6756     | 0.8042                    | 0.7680                      | 1.1416          | 0.7047                         | 0.6718                           | 2     |
+| 0.5368     | 0.8401                    | 0.8078                      | 1.2427          | 0.7050                         | 0.6725                           | 3     |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- TensorFlow 2.6.4
+- Datasets 2.1.0
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.20.1",
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:73c2aae9e0bc60461a6717a02cef823abea71590cb61b7c30a060b0cd6f25310
+size 265583592