mbert-squad2-webis – AI Model by intanm | AlphaNeural AI

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intanm/
mbert-squad2-webis

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Tugay/clickbait-spoiling

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T-BASELINE001

20230430-001-baseline-mbert-qa-squadv2-ft-clickbait-spoiling

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: 4.8747

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	200	2.8065
No log	2.0	400	2.8088
2.5698	3.0	600	3.1652
2.5698	4.0	800	3.5464
1.1384	5.0	1000	3.8477
1.1384	6.0	1200	4.1725
1.1384	7.0	1400	4.5057
0.4763	8.0	1600	4.7721
0.4763	9.0	1800	4.8970
0.2594	10.0	2000	4.8747

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3