metadata

base_model: m3hrdadfi/xlmr-large-qa-fa
tags:
  - generated_from_trainer
datasets:
  - pquad
model-index:
  - name: qa-persian-xlmr-large
    results: []

qa-persian-xlmr-large

This model is a fine-tuned version of m3hrdadfi/xlmr-large-qa-fa on the pquad dataset. It achieves the following results on the evaluation set:

Loss: 1.4953

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.01

Training results

Training Loss	Epoch	Step	Validation Loss
1.6966	0.01	640	1.4953

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0