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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
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