my_awesome_qa_model – AI Model by Vasu07 | 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 distilbert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:

Loss: 2.6520

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: 32
eval_batch_size: 32
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	125	2.5873
No log	2.0	250	1.8849
No log	3.0	375	1.6759
1.9255	4.0	500	1.7135
1.9255	5.0	625	1.7905
1.9255	6.0	750	1.8424
1.9255	7.0	875	1.9328
0.5585	8.0	1000	2.0979
0.5585	9.0	1125	2.1077
0.5585	10.0	1250	2.1653
0.5585	11.0	1375	2.2949
0.2515	12.0	1500	2.3491
0.2515	13.0	1625	2.4130
0.2515	14.0	1750	2.4336
0.2515	15.0	1875	2.5714
0.1483	16.0	2000	2.5859
0.1483	17.0	2125	2.6265
0.1483	18.0	2250	2.6220
0.1483	19.0	2375	2.6299
0.1013	20.0	2500	2.6520

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2