baseline001-25L-20230901 – AI Model by intanm | AlphaNeural AI

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baseline001-25L-20230901

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intanm/mbert-squadv2

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baseline001-25L-20230901

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: 5.1941

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	50	3.1546
No log	2.0	100	3.2274
No log	3.0	150	3.5274
No log	4.0	200	3.9318
No log	5.0	250	4.2708
No log	6.0	300	4.8027
No log	7.0	350	4.9737
No log	8.0	400	5.0809
No log	9.0	450	5.1268
1.1872	10.0	500	5.1941

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3