QA-roberta-model2

MattNandavong/QA-roberta-model2

QA-roberta-model2 is a question answering model from MattNandavong. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: May 16, 2024
Updated: May 16, 2024
SHA: 01980017

Try a prompt

Base models

Model card

From the Hugging Face model README

QA-roberta-model2

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

Loss: 6.0098

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2	6.3049
No log	2.0	4	6.2714
No log	3.0	6	6.2117
No log	4.0	8	6.1256
No log	5.0	10	6.0098

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: roberta
License: mit
Created: May 16, 2024
Updated: May 16, 2024