roberta-base-squad2-finetuned-newqa1 – AI Model by EricPeter | AlphaNeural AI

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roberta-base-squad2-finetuned-newqa1

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roberta-base-squad2-finetuned-newqa1

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

Loss: 4.3201

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: 5e-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	66	2.2730
No log	2.0	132	1.9853
No log	3.0	198	2.0627
No log	4.0	264	2.3190
No log	5.0	330	2.5382
No log	6.0	396	3.0129
No log	7.0	462	3.0762
1.127	8.0	528	3.3226
1.127	9.0	594	3.4531
1.127	10.0	660	3.9486
1.127	11.0	726	3.7776
1.127	12.0	792	3.5990
1.127	13.0	858	3.7593
1.127	14.0	924	4.0871
1.127	15.0	990	4.0839
0.1163	16.0	1056	4.2244
0.1163	17.0	1122	4.2595
0.1163	18.0	1188	4.3196
0.1163	19.0	1254	4.3051
0.1163	20.0	1320	4.3201

Framework versions

Transformers 4.33.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3