README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
model-index:
  - name: banking-intent-distilbert-classifier
    results: []

banking-intent-distilbert-classifier

This model is a fine-tuned version of distilbert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2885
• eval_accuracy: 0.9244
• eval_runtime: 1.9357
• eval_samples_per_second: 1591.148
• eval_steps_per_second: 99.705
• epoch: 10.0
• step: 3130

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
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.29.2
• Pytorch 1.9.0+cu111
• Datasets 2.12.0
• Tokenizers 0.13.3