my_awesome_qa_model – AI Model by danzz06 | AlphaNeural AI

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my_awesome_qa_model

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my_awesome_qa_model

This model is a fine-tuned version of deepset/roberta-base-squad2 on the squad dataset. It achieves the following results on the evaluation set:

Loss: 1.6395

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: 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: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	0.5410
0.4883	2.0	500	0.5437
0.4883	3.0	750	0.5913
0.226	4.0	1000	0.7683
0.226	5.0	1250	0.8280
0.1266	6.0	1500	0.8528
0.1266	7.0	1750	0.9454
0.0868	8.0	2000	1.1004
0.0868	9.0	2250	1.2183
0.0608	10.0	2500	1.2702
0.0608	11.0	2750	1.3823
0.0427	12.0	3000	1.4355
0.0427	13.0	3250	1.4961
0.0318	14.0	3500	1.6042
0.0318	15.0	3750	1.6052
0.0271	16.0	4000	1.5435
0.0271	17.0	4250	1.6205
0.0215	18.0	4500	1.6248
0.0215	19.0	4750	1.6113
0.0157	20.0	5000	1.6395

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2