roberta-base-squad2

am-infoweb/roberta-base-squad2

roberta-base-squad2 is a question answering model from am-infoweb. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.

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

Downloads · 30 days

3% of all-time downloads

All-time downloads

301

Public

Parameters

124M

13.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin496 MB · 50%

Parameter types

How the weights are stored.

F32124M · 100%

Try a prompt

Model card

From the Hugging Face model README

roberta-base-squad2

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.2222

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.725	1.0	677	2.7673
0.4414	2.0	1354	2.1589
0.3715	3.0	2031	2.2147
0.3109	4.0	2708	3.2084
0.2819	5.0	3385	3.0344
0.2256	6.0	4062	2.7600
0.1817	7.0	4739	3.2809
0.1815	8.0	5416	3.1657
0.1357	9.0	6093	3.1151
0.1443	10.0	6770	3.2222

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: cc-by-4.0
Created: Jul 17, 2023
Updated: Jul 18, 2023