my_qa_model – AI Model by Koltunov-Matthew | AlphaNeural AI

You can deploy this model and start earning money today!

Koltunov-Matthew/
my_qa_model

like

0

question-answering

generated_from_trainer

endpoints_compatible

Views

No views yet

my_qa_model

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5865

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: 0.0002
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	96	0.6101
No log	2.0	192	0.3681
No log	3.0	288	0.3647
No log	4.0	384	0.3718
No log	5.0	480	0.3506
0.4973	6.0	576	0.3861
0.4973	7.0	672	0.4109
0.4973	8.0	768	0.5558
0.4973	9.0	864	0.5509
0.4973	10.0	960	0.4134
0.1005	11.0	1056	0.4974
0.1005	12.0	1152	0.5251
0.1005	13.0	1248	0.6089
0.1005	14.0	1344	0.5672
0.1005	15.0	1440	0.5865

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3