SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_10

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: 0.7282

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: 5
• eval_batch_size: 5
• 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
2.6876	1.0	900	1.8294
1.9024	2.0	1800	1.3627
1.5665	3.0	2700	1.1218
1.2645	4.0	3600	0.9016
1.1124	5.0	4500	0.8324
0.9538	6.0	5400	0.8506
0.9072	7.0	6300	0.7650
0.8127	8.0	7200	0.7886
0.7671	9.0	8100	0.7172
0.6922	10.0	9000	0.7282

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2