QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base – AI Model by am-infoweb | AlphaNeural AI

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QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base

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QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0836

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: 2
eval_batch_size: 2
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
0.1531	1.0	5439	0.3001
0.0971	2.0	10878	0.0799
0.1757	3.0	16317	0.0613
0.109	4.0	21756	0.0637
0.0458	5.0	27195	0.0434
0.0229	6.0	32634	0.0577
0.0244	7.0	38073	0.0618
0.0	8.0	43512	0.0814
0.0	9.0	48951	0.0818
0.0	10.0	54390	0.0836

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3