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metadata
base_model: HooshvareLab/bert-base-parsbert-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: test_trainer
    results: []

test_trainer

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

  • Loss: 0.4432
  • Accuracy: 0.8804

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 138 0.3028 0.8696
No log 2.0 276 0.3404 0.8732
No log 3.0 414 0.4432 0.8804

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1