mdeberta-idkmrc – AI Model by intanm | AlphaNeural AI

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intanm/
mdeberta-idkmrc

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question-answering

generated_from_trainer

rifkiaputri/idk-mrc

microsoft/mdeberta-v3-base

endpoints_compatible

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mdeberta-idkmrc

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6436

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: 8
eval_batch_size: 8
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
1.074	1.0	1167	1.0261
0.7109	2.0	2334	0.8206
0.5088	3.0	3501	1.0899
0.3777	4.0	4668	1.0080
0.2585	5.0	5835	1.2647
0.2059	6.0	7002	1.4279
0.176	7.0	8169	1.4197
0.126	8.0	9336	1.6170
0.1017	9.0	10503	1.6357
0.0751	10.0	11670	1.6436

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1