add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: model-QA-5-epoch-RU
+  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. -->
+
+# model-QA-5-epoch-RU
+
+This model is a fine-tuned version of [AndrewChar/diplom-prod-epoch-4-datast-sber-QA](https://huggingface.co/AndrewChar/diplom-prod-epoch-4-datast-sber-QA) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.1991
+- Validation Loss: 0.0
+- 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: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 2986, '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 | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 1.1991     | 0.0             | 0     |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- TensorFlow 2.7.0
+- Datasets 1.17.0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "AndrewChar/diplom-prod-epoch-4-datast-sber-QA",
+  "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,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.15.0",
+  "vocab_size": 119547
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7aeaa3f7d1f6a5ad440cba984429ab426f734d46e4fa335efac211b94090b416
+size 539068488