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

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xlmrlarge-squad2-webis

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20230519-001-baseline-xlmrl-qa-squadv2-ft-clickbait-spoiling

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

Loss: 6.2849

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	2.2379
No log	2.0	400	2.3140
1.8489	3.0	600	3.0345
1.8489	4.0	800	3.5503
0.5002	5.0	1000	3.9071
0.5002	6.0	1200	4.4492
0.5002	7.0	1400	5.3196
0.158	8.0	1600	5.7806
0.158	9.0	1800	6.0289
0.0542	10.0	2000	6.2849

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3