QA_REFINED_QUESTIONS_AND_DATA_14K_15-08 – AI Model by am-infoweb | AlphaNeural AI | AlphaNeural AI

You can deploy this model and start earning money today!

am-infoweb/
QA_REFINED_QUESTIONS_AND_DATA_14K_15-08

like

0

question-answering

generated_from_trainer

deepset/roberta-base-squad2

endpoints_compatible

Views

No views yet

QA_REFINED_QUESTIONS_AND_DATA_14K_14-08

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5917

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
1.3897	1.0	5389	1.5180
1.231	2.0	10778	1.3101
1.1957	3.0	16167	1.4652
1.133	4.0	21556	1.3314
1.1529	5.0	26945	1.4526
1.1318	6.0	32334	1.3718
1.0172	7.0	37723	1.4211
0.9746	8.0	43112	1.7017
0.9014	9.0	48501	1.4937
0.8843	10.0	53890	1.5917

Framework versions

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