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metadata
library_name: transformers
license: apache-2.0
base_model: HooshvareLab/distilbert-fa-zwnj-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: finetuning-DistilBert_fa
    results: []

finetuning-DistilBert_fa

This model is a fine-tuned version of HooshvareLab/distilbert-fa-zwnj-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2570
  • Accuracy: 0.68
  • F1: 0.6796
  • Precision: 0.6744
  • Recall: 0.6923

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0