distilbert-fa-zwnj-base-MLM-pquad_2

This model is a fine-tuned version of HooshvareLab/distilbert-fa-zwnj-base on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 5.1748

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: 0.0005
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.714	3.22	100	6.4352
6.4216	6.44	200	6.1348
6.1667	9.67	300	5.9233
5.9502	12.89	400	5.6905
5.6578	16.13	500	5.2831
5.379	19.35	600	5.1748

Framework versions

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