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

You can deploy this model and start earning money today!

intanm/
xlmr-squad2-webis

like

0

question-answering

generated_from_trainer

Tugay/clickbait-spoiling

endpoints_compatible

Views

No views yet

20230429-001-baseline-xlmr-qa-ft-clickbait-spoiling

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

Loss: 4.5383

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	2.6068
No log	2.0	400	2.5478
2.4592	3.0	600	2.7423
2.4592	4.0	800	3.0881
1.2494	5.0	1000	3.4467
1.2494	6.0	1200	3.8071
1.2494	7.0	1400	4.1507
0.6019	8.0	1600	4.2346
0.6019	9.0	1800	4.4685
0.3642	10.0	2000	4.5383

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3