fewshot-qa-004-20230623-001

intanm/fewshot-qa-004-20230623-001

fewshot-qa-004-20230623-001 is a question answering model from intanm. 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. --

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At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: xlm-roberta
Access: Public
Created: Jun 22, 2023
Updated: Jun 22, 2023
SHA: a9222bdf

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Model card

From the Hugging Face model README

fewshot-qa-004-20230623-001

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

Loss: 6.3376

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	208	2.2499
No log	2.0	416	2.2725
1.8941	3.0	624	2.8161
1.8941	4.0	832	3.3206
0.5501	5.0	1040	4.0848
0.5501	6.0	1248	4.9156
0.5501	7.0	1456	5.0698
0.1763	8.0	1664	5.5852
0.1763	9.0	1872	5.9186
0.063	10.0	2080	6.3376

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: xlm-roberta
License: cc-by-4.0
Created: Jun 22, 2023
Updated: Jun 22, 2023