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phd411r1/
SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18

Name: SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18
Availability: InStock

generated_from_trainer

endpoints_compatible

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SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18

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: 0.7132

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 18

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	450	1.6760
2.4326	2.0	900	1.2467
1.7149	3.0	1350	1.0080
1.4159	4.0	1800	0.9462
1.1935	5.0	2250	0.8571
1.0304	6.0	2700	0.8423
0.9659	7.0	3150	0.7865
0.8431	8.0	3600	0.7647
0.8279	9.0	4050	0.7421
0.7808	10.0	4500	0.7911
0.7808	11.0	4950	0.7421
0.7409	12.0	5400	0.7146
0.7155	13.0	5850	0.7184
0.6672	14.0	6300	0.7149
0.6637	15.0	6750	0.7134
0.6457	16.0	7200	0.7128
0.6167	17.0	7650	0.7127
0.6256	18.0	8100	0.7132

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

phd411r1/SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18

SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

phd411r1/
SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18