smangrul/peft-lora-starcoderbase7b-personal-copilot-A100-40GB-colab

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

peft-lora-starcoderbase7b-personal-copilot-A100-40GB-colab

This model is a fine-tuned version of bigcode/starcoderbase-7b on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4253

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

The following bitsandbytes quantization config was used during training:

• —loadin8bit: False
• —loadin4bit: True
• —llmint8threshold: 6.0
• —llmint8skip_modules: None
• —llmint8enablefp32cpu_offload: False
• —llmint8hasfp16weight: False
• —bnb4bitquant_type: nf4
• —bnb4bitusedoublequant: True
• —bnb4bitcompute_dtype: bfloat16

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_steps: 30
• —training_steps: 2000

Training results

Framework versions

• —PEFT 0.5.0.dev0
• —Transformers 4.32.0.dev0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.4
• —Tokenizers 0.13.3