michaelcw02
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roberta-human-or-machine-classification

Text Classification

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text-embeddings-inference

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roberta-human-or-machine-classification

This model is a fine-tuned version of roberta-base on the yaful/MAGE dataset. It achieves the following results on the evaluation set:

Loss: 0.4389

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:

learning_rate: 5e-05
train_batch_size: 52
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0811	1.0	6136	0.4389

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for michaelcw02/roberta-human-or-machine-classification

Base model

FacebookAI/roberta-base

Finetuned

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this model

Dataset used to train michaelcw02/roberta-human-or-machine-classification