Llama-3-8B-Instruct-spider-4-dpo

This model is a fine-tuned version of VictorDCh/Llama-3-8B-Instruct-spider-4_full 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: 2e-06
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.3.1+cu121
• Datasets 2.16.1
• Tokenizers 0.19.1