---
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-Nemo-Base-2407
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- pbevan11/ultrafeedback_binarized_multilingual
model-index:
- name: Mistral-Nemo-Instruct-Baseline-SFT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-Nemo-Instruct-Baseline-SFT

This model is a fine-tuned version of [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) on the pbevan11/ultrafeedback_binarized_multilingual dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1750

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6158        | 0.9455 | 13   | 1.3800          |
| 1.1061        | 1.9636 | 27   | 1.1854          |
| 0.9071        | 2.8364 | 39   | 1.1750          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0