my_own_qa_model – AI Model by SUhlemeyer | AlphaNeural AI

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my_own_qa_model

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my_own_qa_model

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

Loss: 1.6294

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: 48
eval_batch_size: 48
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
No log	1.0	84	3.3129
No log	2.0	168	2.3566
No log	3.0	252	1.8045
No log	4.0	336	1.6367
No log	5.0	420	1.5675
2.1083	6.0	504	1.5783
2.1083	7.0	588	1.5736
2.1083	8.0	672	1.5864
2.1083	9.0	756	1.6041
2.1083	10.0	840	1.6294

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.4.0
Tokenizers 0.12.1