deepseek_finetune

This model is a fine-tuned version of deepseek-ai/deepseek-coder-7b-instruct-v1.5 on the None 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
• training_steps: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.11.2.dev0
• Transformers 4.42.0.dev0
• Pytorch 2.2.2
• Datasets 2.19.1
• Tokenizers 0.19.1