metadata

tags:
  - generated_from_trainer
model-index:
  - name: bert-base-parsbert-uncased-finetuned
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask

bert-base-parsbert-uncased-finetuned

This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.2045

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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
3.5596	1.0	515	3.2097

Framework versions

Transformers 4.10.0
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3