---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# reward_model_trainer_smol_llm_results

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/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