metadata

license: bigcode-openrail-m
library_name: peft
tags:
  - generated_from_trainer
base_model: bigcode/starcoderbase-1b
model-index:
  - name: peft-lora-starcoder1B-Instruction-ny8-MIX
    results: []

peft-lora-starcoder1B-Instruction-ny8-MIX

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1670

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
training_steps: 150
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1662	0.67	100	0.1670

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0