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distilbert-fa-zwnj-base-MLM-pquad – AI Model by Gholamreza | AlphaNeural AI

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Gholamreza/
distilbert-fa-zwnj-base-MLM-pquad

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distilbert-fa-zwnj-base-MLM-pquad

This model is pretained only on the PQuAD dataset. for educational purposes only.

Tokenizer and base model configs are from HooshvareLab/distilbert-fa-zwnj-base on the generator 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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

TrainOutput(global_step=31, training_loss=10.31849128969254, metrics={'train_runtime': 42.7618, 'train_samples_per_second': 188.369, 'train_steps_per_second': 0.725, 'total_flos': 263071290359808.0, 'train_loss': 10.31849128969254, 'epoch': 0.98})

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2