metadata

library_name: transformers
license: apache-2.0
base_model: Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad
tags:
  - generated_from_trainer
datasets:
  - pquad
model-index:
  - name: distilbert-fa-zwnj-base-finetuned-pquad-pquad
    results: []

distilbert-fa-zwnj-base-finetuned-pquad-pquad

This model is a fine-tuned version of Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad on the pquad 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

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Computed Metrics

{'exact': 43.91925777331996,

'f1': 59.06087423686695,

'total': 7976,

'HasAns_exact': 58.41534612176814,

'HasAns_f1': 78.5603891431611,

'HasAns_total': 5995,

'NoAns_exact': 0.05047955577990914,

'NoAns_f1': 0.05047955577990914,

'NoAns_total': 1981,

'best_exact': 43.91925777331996,

'best_exact_thresh': 0.0,

'best_f1': 59.0608742368668,

'best_f1_thresh': 0.0}