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metadata
license: mit
base_model: microsoft/deberta-v3-large
tags:
  - generated_from_trainer
model-index:
  - name: deberta-v3-large-math-ver1
    results: []

deberta-v3-large-math-ver1

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1289
  • eval_precision: 0.9722
  • eval_recall: 0.9722
  • eval_f1: 0.9722
  • eval_accuracy: 0.9722
  • eval_runtime: 7.4496
  • eval_samples_per_second: 169.136
  • eval_steps_per_second: 14.095
  • epoch: 5.0
  • step: 2100

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: 12
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2