QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base – AI Model by prajwalJumde | AlphaNeural AI

You can deploy this model and start earning money today!

prajwalJumde/
QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base

like

0

question-answering

generated_from_trainer

distilbert/distilbert-base-uncased

endpoints_compatible

Views

No views yet

QA_SYNTHETIC_DATA_ONLY_18_AUG_distilbert-base

This model is a fine-tuned version of distilbert-base-uncased on the None 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
0.0026	1.0	5344	0.0020
0.0002	2.0	10688	0.0005
0.006	3.0	16032	0.0002
0.0263	4.0	21376	0.0000
0.0009	5.0	26720	0.0000
0.0031	6.0	32064	0.0001
0.0001	7.0	37408	0.0000
0.0	8.0	42752	0.0000
0.0062	9.0	48096	0.0000
0.0002	10.0	53440	0.0000

Framework versions

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