metadata

library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
  - generated_from_trainer
model-index:
  - name: peft-starcoder-lora-a100
    results: []

peft-starcoder-lora-a100

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

eval_loss: 1.0495
eval_runtime: 978.1933
eval_samples_per_second: 8.966
eval_steps_per_second: 1.121
epoch: 0.6
step: 1200

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 2000

Framework versions

PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.5.1
Datasets 3.3.2
Tokenizers 0.21.0