deepseek_coder_v2

This model is a fine-tuned version of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1922

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4005	0.1613	5	0.3098
0.2848	0.3226	10	0.2342
0.2249	0.4839	15	0.2092
0.2221	0.6452	20	0.2001
0.2141	0.8065	25	0.1949
0.2094	0.9677	30	0.1922

Framework versions

• PEFT 0.11.1
• Transformers 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1