Add 1-epoch head-trained DistilBERT model

README.md

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----
-license: mit
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert-hatespeech-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. -->
+
+# distilbert-hatespeech-classifier
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.7534
+- Train Accuracy: 0.6864
+- Validation Loss: 0.7491
+- Validation Accuracy: 0.6776
+- Epoch: 4
+
+## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': np.float32(3e-05), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.9714     | 0.5859         | 0.8171          | 0.7099              | 0     |
+| 0.8407     | 0.6588         | 0.7758          | 0.6996              | 1     |
+| 0.7952     | 0.6739         | 0.7337          | 0.7137              | 2     |
+| 0.7687     | 0.6783         | 0.7705          | 0.6504              | 3     |
+| 0.7534     | 0.6864         | 0.7491          | 0.6776              | 4     |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- TensorFlow 2.18.0
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "hate speech",
+    "1": "offensive language",
+    "2": "neither"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "hate speech": 0,
+    "neither": 2,
+    "offensive language": 1
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.51.3",
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b3e464762c6fcf86ce9adb885b41fc86d9b6959f8a0344fe13e825e9e9ddd5d4
+size 267958216