IceBERT-finetuned-squad-10 – AI Model by gudjonk93 | AlphaNeural AI | AlphaNeural AI

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IceBERT-finetuned-squad-10

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IceBERT-finetuned-squad-10

This model is a fine-tuned version of mideind/IceBERT on the icelandic-qa-n_qi_i dataset. It achieves the following results on the evaluation set:

Loss: 2.1511

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	293	1.7614
1.9509	2.0	586	1.5208
1.9509	3.0	879	1.5011
0.9529	4.0	1172	1.5694
0.9529	5.0	1465	1.7516
0.6647	6.0	1758	1.8629
0.4336	7.0	2051	1.8881
0.4336	8.0	2344	2.0768
0.335	9.0	2637	2.1238
0.335	10.0	2930	2.1511

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2