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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: mallikrao2/qa-finetuned-swag
+  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. -->
+
+# mallikrao2/qa-finetuned-swag
+
+This model is a fine-tuned version of [mallikrao2/sQuad_bertmodel1_](https://huggingface.co/mallikrao2/sQuad_bertmodel1_) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0020
+- Train Accuracy: 0.9994
+- Validation Loss: 1.9750
+- Validation Accuracy: 0.7508
+- Epoch: 19
+
+## 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': 5e-05, 'decay_steps': 66860, '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 Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.8405     | 0.6630         | 0.6156          | 0.7596              | 0     |
+| 0.4697     | 0.8233         | 0.6102          | 0.7643              | 1     |
+| 0.2479     | 0.9087         | 0.7102          | 0.7573              | 2     |
+| 0.1571     | 0.9439         | 0.8434          | 0.7482              | 3     |
+| 0.1139     | 0.9599         | 1.0923          | 0.7453              | 4     |
+| 0.0881     | 0.9698         | 1.0614          | 0.7421              | 5     |
+| 0.0705     | 0.9758         | 1.1311          | 0.7412              | 6     |
+| 0.0577     | 0.9802         | 1.1761          | 0.7387              | 7     |
+| 0.0453     | 0.9845         | 1.3310          | 0.7446              | 8     |
+| 0.0379     | 0.9869         | 1.3076          | 0.7361              | 9     |
+| 0.0301     | 0.9898         | 1.3147          | 0.7434              | 10    |
+| 0.0228     | 0.9923         | 1.6641          | 0.7388              | 11    |
+| 0.0195     | 0.9932         | 1.6168          | 0.7397              | 12    |
+| 0.0165     | 0.9948         | 1.6042          | 0.7458              | 13    |
+| 0.0118     | 0.9960         | 1.6922          | 0.7426              | 14    |
+| 0.0098     | 0.9970         | 1.7052          | 0.7449              | 15    |
+| 0.0059     | 0.9982         | 1.8137          | 0.7453              | 16    |
+| 0.0040     | 0.9986         | 1.9369          | 0.7504              | 17    |
+| 0.0032     | 0.9991         | 1.9089          | 0.7498              | 18    |
+| 0.0020     | 0.9994         | 1.9750          | 0.7508              | 19    |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- TensorFlow 2.8.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "mallikrao2/sQuad_bertmodel1_",
+  "architectures": [
+    "BertForMultipleChoice"
+  ],
+  "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": "4.29.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

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+oid sha256:ad62e5372fad64bd0524190d1c8b287cf32a2e0cfc1df099fa64e9e869db15aa
+size 438203732

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}