distilbert-fa-zwnj-base-finetuned-medical-data

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

• Loss: 3.2632
• Model Preparation Time: 0.0017

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
3.312	1.0	33	3.3138	0.0017
3.2759	2.0	66	3.3649	0.0017
3.2607	3.0	99	3.2168	0.0017

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0