NeurIA_SQL_gemma-2-2b

This model is a fine-tuned version of google/gemma-2-2b-it on an unknown 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: 0.0001
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Framework versions

• PEFT 0.13.0
• Transformers 4.44.1
• Pytorch 2.4.1
• Datasets 2.19.1
• Tokenizers 0.19.1