dzoQAmodel

Norphel/dzoQAmodel

dzoQAmodel is a question answering model from Norphel. 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: roberta
Access: Public
Created: May 9, 2024
Updated: May 14, 2024
SHA: f8bdbbb0

Try a prompt

Base models

sangjeedondrub/tibetan-roberta-base

Model card

From the Hugging Face model README

dzoQAmodel

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

Loss: 5.6732

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	16	5.5230
No log	2.0	32	5.3383
No log	3.0	48	5.2939
No log	4.0	64	5.2087
No log	5.0	80	5.1862
No log	6.0	96	5.2205
No log	7.0	112	5.2804
No log	8.0	128	5.3362
No log	9.0	144	5.4572
No log	10.0	160	5.4701
No log	11.0	176	5.5276
No log	12.0	192	5.5678
No log	13.0	208	5.6553
No log	14.0	224	5.6671
No log	15.0	240	5.6732

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: roberta
License: mit
Created: May 9, 2024
Updated: May 14, 2024