Wintersmith/LLM_generated_text_detector

1---2license: apache-2.03base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english4tags:5- generated_from_keras_callback6model-index:7- name: Wintersmith/LLM_generated_text_detector8  results: []9---10 11<!-- This model card has been generated automatically according to the information Keras had access to. You should12probably proofread and complete it, then remove this comment. -->13 14# Wintersmith/LLM_generated_text_detector15 16This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.17It achieves the following results on the evaluation set:18- Train Loss: 0.008219- Train Accuracy: 0.997420- Validation Loss: 0.019121- Validation Accuracy: 0.994122- Epoch: 123 24## Model description25 26More information needed27 28## Intended uses & limitations29 30More information needed31 32## Training and evaluation data33 34More information needed35 36## Training procedure37 38### Training hyperparameters39 40The following hyperparameters were used during training:41- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3630, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}42- training_precision: float3243 44### Training results45 46| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |47|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|48| 0.0579     | 0.9809         | 0.0272          | 0.9920              | 0     |49| 0.0082     | 0.9974         | 0.0191          | 0.9941              | 1     |50 51 52### Framework versions53 54- Transformers 4.37.055- TensorFlow 2.15.056- Datasets 2.15.057- Tokenizers 0.15.158