MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL

am-infoweb/MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL

MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

Public

Repo size

20.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin496 MB · 99%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Aug 8, 2023
Updated: Aug 8, 2023
SHA: 1448dc4f

Try a prompt

Base models

am-infoweb/MRR-Latest-21-7

Model card

From the Hugging Face model README

MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL

This model is a fine-tuned version of am-infoweb/MRR-Latest-21-7 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0308

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: 1
eval_batch_size: 1
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
1.03	1.0	11594	1.0591
0.9616	2.0	23188	0.8061
0.8357	3.0	34782	0.9515
0.7217	4.0	46376	0.8091
0.6558	5.0	57970	0.8454
0.6175	6.0	69564	0.7826
0.4479	7.0	81158	0.9225
0.3561	8.0	92752	0.8987
0.3635	9.0	104346	0.9856
0.3647	10.0	115940	1.0308

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: apache-2.0
Created: Aug 8, 2023
Updated: Aug 8, 2023