metadata
library_name: transformers
license: apache-2.0
datasets:
- nickrosh/Evol-Instruct-Code-80k-v1
metrics:
- accuracy
pipeline_tag: text-generation
base_model: AIDC-ai-business/Luban-13B
Panda-Coder
Panda Coder is a state-of-the-art LLM capable of generating code on the NLP based Instructions
Model description
This model is a fine-tuned version of AIDC-ai-business/Luban-13B on Evol Instruct Code 80k-v1 dataset
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 512
Training results
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3