stablejack-0.5b-v2

This model is a fine-tuned version of denizumutdereli/stablejack-0.5b-poc 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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 3

Training results

Framework versions

• PEFT 0.18.1
• Transformers 4.45.2
• Pytorch 2.4.0+cu118
• Datasets 4.8.4
• Tokenizers 0.20.3