Deehan1866
/

PR-Pass-deberta-v3-base

Question Answering

Generated from Trainer

Model card Files Files and versions

finetuned

This model is a fine-tuned version of microsoft/deberta-v3-base on the PiC/phrase_retrieval PR-pass dataset.

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 4

Safetensors

Model size

0.2B params

Tensor type

F32

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Model tree for Deehan1866/PR-Pass-deberta-v3-base

Base model

microsoft/deberta-v3-base

Finetuned

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this model

Dataset used to train Deehan1866/PR-Pass-deberta-v3-base