deberta-v3-base-squad2 – AI Model by itsamitkumar | AlphaNeural AI

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deberta-v3-base-squad2

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deberta-v3-base-squad2

This model is a fine-tuned version of deepset/deberta-v3-base-squad2 on the subjqa dataset. It achieves the following results on the evaluation set:

Loss: 2.2514

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-06
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: 18

Training results

Training Loss	Epoch	Step	Validation Loss
2.8874	1.0	81	3.4517
2.4367	2.0	162	3.0723
2.1531	3.0	243	2.8363
2.0393	4.0	324	2.6726
1.9166	5.0	405	2.5791
1.8508	6.0	486	2.4969
1.8035	7.0	567	2.4384
1.7348	8.0	648	2.3925
1.6939	9.0	729	2.3677
1.6754	10.0	810	2.3405
1.6283	11.0	891	2.2984
1.6159	12.0	972	2.2854
1.5893	13.0	1053	2.2793
1.5636	14.0	1134	2.2749
1.5779	15.0	1215	2.2629
1.567	16.0	1296	2.2563
1.5401	17.0	1377	2.2508
1.5494	18.0	1458	2.2514

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2