Upload TFBertForSequenceClassification

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: hate_speech_classifier
+  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. -->
+
+# hate_speech_classifier
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0710
+- Train Accuracy: 0.9765
+- Train Precision: 0.9207
+- Train Recall: 0.9921
+- Validation Loss: 0.3637
+- Validation Accuracy: 0.9016
+- Validation Precision: 0.8507
+- Validation Recall: 0.9371
+- Epoch: 2
+
+## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3720, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Precision | Train Recall | Validation Loss | Validation Accuracy | Validation Precision | Validation Recall | Epoch |
+|:----------:|:--------------:|:---------------:|:------------:|:---------------:|:-------------------:|:--------------------:|:-----------------:|:-----:|
+| 0.1715     | 0.9374         | 0.8596          | 0.9650       | 0.3057          | 0.9024              | 0.7826               | 0.9463            | 0     |
+| 0.1203     | 0.9572         | 0.8813          | 0.9846       | 0.3223          | 0.9034              | 0.8117               | 0.9455            | 1     |
+| 0.0710     | 0.9765         | 0.9207          | 0.9921       | 0.3637          | 0.9016              | 0.8507               | 0.9371            | 2     |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- TensorFlow 2.18.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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": "4.48.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62cdd229f4073bd6a581732db489da775b1c0308194c108b74d5352ee2ba5fc2
+size 438226204