Ngit's picture
End of training
15b3528
|
raw
history blame
1.27 kB
metadata
license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: deepseek-ai/deepseek-coder-6.7b-instruct
model-index:
  - name: peft-lora-deepseek6.7b
    results: []

peft-lora-deepseek6.7b

This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct 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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 4
  • 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
  • lr_scheduler_warmup_steps: 30
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0