pppereira3/dbert-peft-rating

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dbert-peft-rating

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

• —Loss: 1.0726
• —Accuracy: 0.4988
• —Mse: 0.8475

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.44.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.19.1