JulesGo/camembert-literary-quality-regressor-sigmoid

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camembert-literary-quality-regressor-sigmoid

This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0085
• —Mae: 0.2789
• —Mse: 0.1352

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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.53.1
• —Pytorch 2.7.1
• —Datasets 3.6.0
• —Tokenizers 0.21.2