saiga_results_ru

This model is a fine-tuned version of IlyaGusev/saiga_llama3_8b 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: 0.0003
• train_batch_size: 1
• 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

Framework versions

• Transformers 4.34.1
• Pytorch 2.3.1+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1