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metadata
license: apache-2.0
base_model: sileod/mdeberta-v3-base-tasksource-nli
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: test-trainer-persian
    results: []
language:
  - fa
  - en

test-trainer-persian

This model is a fine-tuned version of sileod/mdeberta-v3-base-tasksource-nli on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1753
  • Accuracy: 0.9463

{'قانون': 3241, 'ادبیات': 18297, 'دارو': 708, 'شعر': 256, 'سیاست': 5720, 'دین': 911, 'علم': 4546, 'گفتگو': 2882}

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.514 1.0 1708 0.3680 0.8829
0.3639 2.0 3416 0.2282 0.9263
0.2534 3.0 5124 0.1753 0.9463

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1