rap_phase2_20dec_200i_v2

am-infoweb/rap_phase2_20dec_200i_v2

rap_phase2_20dec_200i_v2 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 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: xlm-roberta
Access: Public
Created: Dec 20, 2023
Updated: Dec 20, 2023
SHA: 537057bc

Try a prompt

Base models

Model card

From the Hugging Face model README

rap_phase2_20dec_200i_v2

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

Loss: 0.0000

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
0.0417	1.0	2250	0.0183
0.0262	2.0	4500	0.0000
0.052	3.0	6750	0.0000
0.0146	4.0	9000	0.0000
0.015	5.0	11250	0.0002
0.003	6.0	13500	0.0000
0.0099	7.0	15750	0.0000
0.0158	8.0	18000	0.0000
0.0	9.0	20250	0.0000
0.0048	10.0	22500	0.0000

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Question Answering
Library: transformers
Type: xlm-roberta
License: mit
Created: Dec 20, 2023
Updated: Dec 20, 2023