README.md

---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- nthakur/multilingual-deita-10k-v0-sft-v0.1
model-index:
- name: Mistral-7B-Instruct-v0.2-multilingual-deita-10k-v0-sft-v0.1
  results: []
---

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# Mistral-7B-Instruct-v0.2-multilingual-deita-10k-v0-sft-v0.1

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the nthakur/multilingual-deita-10k-v0-sft-v0.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6604

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8266        | 0.2861 | 200  | 0.6874          |
| 0.7478        | 0.5722 | 400  | 0.6693          |
| 0.7963        | 0.8584 | 600  | 0.6609          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1