my_awesome_qa_model_4000 – AI Model by yashwan2003 | AlphaNeural AI

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my_awesome_qa_model_4000

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deepset/roberta-base-squad2

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my_awesome_qa_model_4000

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

Loss: 0.0802

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: 1e-05
train_batch_size: 10
eval_batch_size: 10
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	144	0.1900
No log	2.0	288	0.1477
No log	3.0	432	0.0999
0.1842	4.0	576	0.0700
0.1842	5.0	720	0.0814
0.1842	6.0	864	0.0846
0.0543	7.0	1008	0.0782
0.0543	8.0	1152	0.0894
0.0543	9.0	1296	0.0788
0.0543	10.0	1440	0.0689
0.0393	11.0	1584	0.0839
0.0393	12.0	1728	0.0814
0.0393	13.0	1872	0.0800
0.0397	14.0	2016	0.0804
0.0397	15.0	2160	0.0802

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1