peft-starcoder-lora-a100

This model is a fine-tuned version of bigcode/starcoderbase-1b on chargoddard/commitpack-ft-instruct filtered only for Python examples It achieves the following results on the evaluation set:

  • Loss: 0.8388

Model description

More information needed

Intended uses & limitations

Intended for merging

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 30
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss
0.8844 0.05 100 0.8664
0.8718 0.1 200 0.8622
0.8754 0.15 300 0.8603
0.8898 0.2 400 0.8581
0.8722 0.25 500 0.8565
0.8592 0.3 600 0.8554
0.8655 0.35 700 0.8537
0.8546 0.4 800 0.8514
0.8776 0.45 900 0.8493
0.852 0.5 1000 0.8477
0.8702 0.55 1100 0.8451
0.8745 0.6 1200 0.8438
0.8613 0.65 1300 0.8422
0.8602 0.7 1400 0.8412
0.8584 0.75 1500 0.8400
0.8455 0.8 1600 0.8398
0.8388 0.85 1700 0.8393
0.8222 0.9 1800 0.8388
0.8413 0.95 1900 0.8389
0.8337 1.0 2000 0.8388

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.3.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
2
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model’s pipeline type.

Model tree for johnwee1/peft-starcoder-lora-python

Adapter
(77)
this model