Upload TFBertForSequenceClassification

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: QuestionAnswerLabel
+  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. -->
+
+# QuestionAnswerLabel
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1142
+- Train Accuracy: 0.9620
+- Validation Loss: 0.2475
+- Validation Accuracy: 0.9251
+- Epoch: 9
+
+## 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': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 2.3198     | 0.4600         | 0.9640          | 0.7095              | 0     |
+| 0.7134     | 0.7711         | 0.4776          | 0.8398              | 1     |
+| 0.3989     | 0.8623         | 0.3416          | 0.8799              | 2     |
+| 0.2743     | 0.9020         | 0.3349          | 0.8782              | 3     |
+| 0.2236     | 0.9180         | 0.2873          | 0.9015              | 4     |
+| 0.1902     | 0.9308         | 0.2535          | 0.9101              | 5     |
+| 0.1593     | 0.9433         | 0.2579          | 0.9210              | 6     |
+| 0.1489     | 0.9492         | 0.2521          | 0.9233              | 7     |
+| 0.1298     | 0.9559         | 0.2742          | 0.9166              | 8     |
+| 0.1142     | 0.9620         | 0.2475          | 0.9251              | 9     |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- TensorFlow 2.18.0
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "directionality": "bidi",
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+}

tf_model.h5

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