roberta-base-squad2 – AI Model by prajwalJumde | AlphaNeural AI

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roberta-base-squad2

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roberta-base-squad2

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: 0.1446

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.4337	1.0	582	0.1969
0.2562	2.0	1164	0.1279
0.1404	3.0	1746	0.1665
0.1674	4.0	2328	0.1802
0.1319	5.0	2910	0.1101
0.0978	6.0	3492	0.1353
0.0747	7.0	4074	0.1291
0.0458	8.0	4656	0.1353
0.0461	9.0	5238	0.1323
0.0301	10.0	5820	0.1446

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3