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

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intanm/
mdeberta-squad2-webis

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20230430-002-baseline-mdeberta-qa-ft-clickbait-spoiling

This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.6307

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	2.3170
No log	2.0	400	2.2467
2.2007	3.0	600	2.4259
2.2007	4.0	800	2.6208
1.1169	5.0	1000	2.9482
1.1169	6.0	1200	3.1302
1.1169	7.0	1400	3.4215
0.5849	8.0	1600	3.4504
0.5849	9.0	1800	3.5371
0.3761	10.0	2000	3.6307

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3