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reward_model_trainer_smol_llm_results

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reward-trainer
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reward_model_trainer_smol_llm_results / README.md
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metadata
base_model: HuggingFaceTB/SmolLM-360M-Instruct
library_name: peft
license: apache-2.0
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
model-index:
  - name: reward_model_trainer_smol_llm_results
    results: []

reward_model_trainer_smol_llm_results

This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M-Instruct on an unknown 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: 1.41e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1