distilbert-fa-zwnj-base-ner-finetuned-imdb

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

• Loss: 4.4208

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.6035	1.0	157	4.9251
4.8152	2.0	314	4.5462
4.5829	3.0	471	4.4394

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1