elnasharomar2
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oknashar-bert

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oknashar-bert

This model is a fine-tuned version of mosaicml/mosaic-bert-base on the wikipedia dataset. It achieves the following results on the evaluation set:

eval_loss: 7.6172
eval_runtime: 68.6888
eval_samples_per_second: 22.813
eval_steps_per_second: 0.364
epoch: 2.84
step: 500

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: 5e-05
train_batch_size: 10
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Framework versions

Transformers 4.18.0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.12.1

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Dataset used to train elnasharomar2/oknashar-bert