RoBERTa-tg

This model is a fine-tuned version of Tajik-Corpus dataset which is based on Leipzig Corpora.

Model description

You can use model for masked text generation or fine-tune it to a downstream task.

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: 128
• eval_batch_size: 8
• seed: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.20.0.dev0
• Pytorch 1.11.0+cu113
• Tokenizers 0.12.1