metadata

license: mit
base_model: IProject-10/deberta-v3-base-finetuned-squad2
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: deberta-v3-base-finetuned-squad2
    results: []

deberta-v3-base-finetuned-squad2

This model is a fine-tuned version of IProject-10/deberta-v3-base-finetuned-squad2 on the squad_v2 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8493
eval_runtime: 168.8242
eval_samples_per_second: 71.678
eval_steps_per_second: 4.484
step: 0

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3