rm_checkpoint / README.md
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nahed22/reward_model
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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