metadata

license: bigcode-openrail-m
base_model: bigcode/tiny_starcoder_py
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
model-index:
  - name: rm_checkpoint
    results: []

rm_checkpoint

This model is a fine-tuned version of bigcode/tiny_starcoder_py on the None dataset.

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1