---
library_name: transformers
license: llama3.1
base_model: Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV
tags:
- generated_from_trainer
model-index:
- name: Grogros-dmWM-Llama-3.1-8B-Instruct-WOHealth-Al4-WO_NoHealth-TV-OpenMathInstruct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Grogros-dmWM-Llama-3.1-8B-Instruct-WOHealth-Al4-WO_NoHealth-TV-OpenMathInstruct

This model is a fine-tuned version of [Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV) 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500

### Training results



### Framework versions

- Transformers 4.53.3
- Pytorch 2.2.0a0+81ea7a4
- Datasets 3.6.0
- Tokenizers 0.21.2