Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ai-detector-distilbert
+  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. -->
+
+# ai-detector-distilbert
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0079
+- Train Accuracy: 0.9983
+- Validation Loss: 0.0156
+- Validation Accuracy: 0.9958
+- Train Lr: 1e-07
+- 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': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-07, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:--------:|:-----:|
+| 0.0921     | 0.9652         | 0.0141          | 0.9963              | 1e-05    | 0     |
+| 0.0098     | 0.9974         | 0.0178          | 0.9956              | 1e-06    | 1     |
+| 0.0079     | 0.9983         | 0.0156          | 0.9958              | 1e-07    | 2     |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "human",
+    "1": "AI"
+  },
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.39.3",
+  "vocab_size": 28996
+}

tf_model.h5

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+oid sha256:a02c31333f011e1c07c694bf873315600e333b3aa2f0e4e85e8c5f57365fcdda
+size 263263936