xlm-roberta-large-fa-qa-finetune_on_600qa

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

• Loss: 1.0546

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.4661	1.0	873	1.8295
2.4106	2.0	1746	1.2212
1.6281	3.0	2619	1.0546

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2