distilbert-fa-zwnj-base-finetuned-pquad-PersianQuAD
This model is a fine-tuned version of Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad on an unknown dataset.
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: 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
- mixed_precision_training: Native AMP
Training results
{ 'exact': 65.5,
'f1': 71.54387668799097,
'total': 1000,
'HasAns_exact': 65.5,
'HasAns_f1': 71.54387668799097,
'HasAns_total': 1000,
'best_exact': 65.5,
'best_exact_thresh': 0.0,
'best_f1': 71.54387668799097,
'best_f1_thresh': 0.0 }
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Downloads last month
- 124
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.