Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-512

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distilbert-base-uncased-wandb-week-3-complaints-classifier-512

This model is a fine-tuned version of distilbert-base-uncased on the consumer-finance-complaints dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0839
• —Accuracy: 0.6745
• —F1: 0.6356
• —Recall: 0.6745
• —Precision: 0.6122

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: 0.0007879237562376572
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 512
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0+cu102
• —Datasets 2.3.2
• —Tokenizers 0.12.1