README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - consumer-finance-complaints
model-index:
  - name: distilbert-base-uncased-wandb-week-3-complaints-classifier-1500
    results: []

distilbert-base-uncased-wandb-week-3-complaints-classifier-1500

This model is a fine-tuned version of distilbert-base-uncased on the consumer-finance-complaints dataset.

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1500
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Framework versions

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