xlmr-webis – AI Model by intanm | AlphaNeural AI

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intanm/
xlmr-webis

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xlmr-webis

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

Loss: 4.3683

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	3.4810
No log	2.0	400	3.0423
3.4716	3.0	600	3.0797
3.4716	4.0	800	3.3589
1.9843	5.0	1000	3.2934
1.9843	6.0	1200	3.6807
1.9843	7.0	1400	3.8401
1.1268	8.0	1600	4.1543
1.1268	9.0	1800	4.2929
0.7515	10.0	2000	4.3683

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1