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