add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Svenskmodell
+  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. -->
+
+# Svenskmodell
+
+This model is a fine-tuned version of [KB/bert-base-swedish-cased](https://huggingface.co/KB/bert-base-swedish-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.3411
+- Train End Logits Accuracy: 0.8882
+- Train Start Logits Accuracy: 0.8838
+- Validation Loss: 1.4988
+- Validation End Logits Accuracy: 0.6713
+- Validation Start Logits Accuracy: 0.6669
+- 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': 28792, '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 |
+|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
+| 1.2392     | 0.6241                    | 0.6197                      | 1.0970          | 0.6588                         | 0.6543                           | 0     |
+| 0.7549     | 0.7615                    | 0.7569                      | 1.1185          | 0.6673                         | 0.6665                           | 1     |
+| 0.5005     | 0.8376                    | 0.8323                      | 1.3299          | 0.6571                         | 0.6503                           | 2     |
+| 0.3411     | 0.8882                    | 0.8838                      | 1.4988          | 0.6713                         | 0.6669                           | 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": "KB/bert-base-swedish-cased",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "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,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.20.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50325
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9603e708cb08b98dffbb1d073ea70a89a582cfc036b4b6d69a998fc3eec04a72
+size 496676816