xlm_roberta_final2

MahdisHosseini/xlm_roberta_final2

xlm_roberta_final2 is a question answering model from MahdisHosseini. Use it when the input is a question plus a passage. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
Model type: xlm-roberta
Access: Public
Created: May 17, 2025
Updated: May 17, 2025
SHA: 8b3088bf

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Base models

pedramyazdipoor/persian_xlm_roberta_large

Model card

From the Hugging Face model README

xlm_roberta_final2

This model is a fine-tuned version of pedramyazdipoor/persian_xlm_roberta_large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2361

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: 5e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.7048	0.1477	300	1.3828
1.4155	0.2953	600	1.3106
1.3612	0.4430	900	1.3065
1.4218	0.5907	1200	1.2196
1.3149	0.7384	1500	1.2361

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

Task: Question Answering
Library: transformers
Type: xlm-roberta
Created: May 17, 2025
Updated: May 17, 2025