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