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