metadata

library_name: peft
license: bigcode-openrail-m
base_model: bigcode/starcoder2-3b
tags:
  - base_model:adapter:bigcode/starcoder2-3b
  - lora
  - transformers
pipeline_tag: text-generation
model-index:
  - name: starcoder2-ft-plsql2node
    results: []

starcoder2-ft-plsql2node

This model is a fine-tuned version of bigcode/starcoder2-3b on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4398

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.574	1.0	60	0.4433
2.5626	2.0	120	0.4411
3.1912	3.0	180	0.4398

Framework versions

PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2