fewshot-qa-001-20230614-001 – AI Model by intanm | AlphaNeural AI

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fewshot-qa-001-20230614-001

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fewshot-qa-001-20230614-001

This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.8876

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	208	2.8002
No log	2.0	416	2.8132
2.5875	3.0	624	3.1406
2.5875	4.0	832	3.4779
1.1736	5.0	1040	3.8496
1.1736	6.0	1248	4.1895
1.1736	7.0	1456	4.4204
0.531	8.0	1664	4.7848
0.531	9.0	1872	4.8564
0.2596	10.0	2080	4.8876

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3