MRR_QA_15K_FINETUNED_ON_RANDOM_DATA

am-infoweb/MRR_QA_15K_FINETUNED_ON_RANDOM_DATA

MRR_QA_15K_FINETUNED_ON_RANDOM_DATA 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 apache-2.0.

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

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Aug 14, 2023
Updated: Aug 14, 2023
SHA: b23424da

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Base models

am-infoweb/MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL

Model card

From the Hugging Face model README

MRR_QA_15K_FINETUNED_ON_RANDOM_DATA

This model is a fine-tuned version of am-infoweb/MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL 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: 2
eval_batch_size: 2
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
0.0336	1.0	2248	0.0002
0.0	2.0	4496	0.0000
0.0004	3.0	6744	0.0000
0.0002	4.0	8992	0.0000
0.0	5.0	11240	0.0000
0.0	6.0	13488	0.0000
0.0	7.0	15736	0.0003
0.0012	8.0	17984	0.0000
0.0	9.0	20232	0.0000
0.0	10.0	22480	0.0000

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: apache-2.0
Created: Aug 14, 2023
Updated: Aug 14, 2023