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distilbert-fa-zwnj-base-finetuned-pquad

This model is a fine-tuned version of HooshvareLab/distilbert-fa-zwnj-base on the pquad dataset.

Results

Test set

name value
'exact' 66.38340414896275,
'f1' 80.23760220987583,
'total' 8002,
'HasAns_exact' 60.13469119579501,
'HasAns_f1' 78.34449620292781,
'HasAns_total' 6088,
'NoAns_exact' 86.25914315569489,
'NoAns_f1' 86.25914315569489,
'NoAns_total' 1914,
'best_exact' 66.38340414896275,
'best_exact_thresh' 0.0,
'best_f1' 80.23760220987589,
'best_f1_thresh' 0.0

Validation set

name value
'exact' 64.65646940822468,
'f1' 78.88641788270802,
'total' 7976,
'HasAns_exact' 57.54795663052544,
'HasAns_f1' 76.4800782372771,
'HasAns_total' 5995,
'NoAns_exact' 86.16860171630489,
'NoAns_f1' 86.16860171630489,
'NoAns_total' 1981,
'best_exact' 64.65646940822468,
'best_exact_thresh' 0.0,
'best_f1' 78.88641788270819,
'best_f1_thresh' 0.0

Model description

uses distilbert-fa-zwnj-base as base and fine-tunes it on pquad dataset.

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
1.1299 1.0 4003 1.1306
0.845 2.0 8006 1.0839
0.639 3.0 12009 1.1302

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train Gholamreza/distilbert-fa-zwnj-base-finetuned-pquad