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