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metadata
license: bigcode-openrail-m
base_model: bigcode/starcoder
tags:
  - generated_from_trainer
model-index:
  - name: starcoder-php2py-snippet2
    results: []
library_name: peft

starcoder-php2py-snippet2

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

  • Loss: 0.1831

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: 7e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 5
  • total_train_batch_size: 80
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
0.1912 0.25 25 0.1918
0.1893 0.5 50 0.1861
0.182 0.75 75 0.1836
0.1822 1.0 100 0.1831

Framework versions

  • PEFT 0.5.0.dev0
  • PEFT 0.5.0.dev0
  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3