questionAnswerv2 – AI Model by Ahmade | AlphaNeural AI

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questionAnswerv2

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question-answering

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questionAnswerv2

This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.9120

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: 0.002
train_batch_size: 128
eval_batch_size: 128
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
4.3935	1.0	14	3.9120
3.9241	2.0	28	3.9120
3.9488	3.0	42	3.9120
3.9451	4.0	56	3.9120
3.9209	5.0	70	3.9120
3.9112	6.0	84	3.9120
3.9061	7.0	98	3.9120
3.9173	8.0	112	3.9120
3.9328	9.0	126	3.9120
3.9263	10.0	140	3.9120

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2