---
license: other
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: prm_conversations_math-l5-train-full-ref-mix_gpt-4o-mini_rm_best_of_16_with_ref_with_hint_all_full_solution_as_ref
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# prm_conversations_math-l5-train-full-ref-mix_gpt-4o-mini_rm_best_of_16_with_ref_with_hint_all_full_solution_as_ref

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the prm_conversations_math-l5-train-full-ref-mix_gpt-4o-mini_rm_best_of_16_with_ref_with_hint_all_full_solution_as_ref dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1171

## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1455        | 0.4877 | 500  | 0.1367          |
| 0.1229        | 0.9755 | 1000 | 0.1171          |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1