my_awesome_qa_model_40_len – AI Model by yashwan2003 | AlphaNeural AI

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my_awesome_qa_model_40_len

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deepset/roberta-base-squad2

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my_awesome_qa_model_40_len

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: 2.0913

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: 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: 13

Training results

Training Loss	Epoch	Step	Validation Loss
1.3462	1.0	523	1.2270
1.1239	2.0	1046	1.2380
0.9519	3.0	1569	1.2953
0.8053	4.0	2092	1.3760
0.6936	5.0	2615	1.4716
0.5995	6.0	3138	1.5764
0.5185	7.0	3661	1.6700
0.4539	8.0	4184	1.8047
0.3977	9.0	4707	1.8563
0.3545	10.0	5230	1.9588
0.329	11.0	5753	2.0120
0.2982	12.0	6276	2.0690
0.2887	13.0	6799	2.0913

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1