metadata
base_model: ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: ar_specific_model
results: []
ar_specific_model
This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1801
- Accuracy: 0.9416
- F1: 0.9429
- Precision: 0.9234
- Recall: 0.9632
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: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.1996 | 1.0 | 1850 | 0.1801 | 0.9416 | 0.9429 | 0.9234 | 0.9632 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1