Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1024

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-base-uncased-wandb-week-3-complaints-classifier-1024

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: 0.5664
• —Accuracy: 0.8167
• —F1: 0.8089
• —Recall: 0.8167
• —Precision: 0.8103

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: 2.9291066722689668e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1024
• —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