---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7b-v0.1-english-to-hinglish-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mistral-7b-v0.1-english-to-hinglish-translation

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9017
- Rouge Scores: {'rouge1': 0.9052154858930703, 'rouge2': 0.7938118811886605, 'rougeL': 0.8365543601879399, 'rougeLsum': 0.9051011676969527}
- Bleu Scores: [0.9286814242037147, 0.9121661008968365, 0.8907823041130339, 0.8677722819236368]
- Gen Len: 2048.0

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge Scores                                                                                                            | Bleu Scores                                                                      | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-----------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:|
| 0.9667        | 1.0   | 500  | 0.8997          | {'rouge1': 0.9066197962103982, 'rouge2': 0.7949438120742293, 'rougeL': 0.8365583570941119, 'rougeLsum': 0.906542182776239}  | [0.9280923249970773, 0.9116476390859075, 0.8901882800412136, 0.8671907395641425] | 2048.0  |
| 0.5702        | 2.0   | 1000 | 0.9017          | {'rouge1': 0.9052154858930703, 'rouge2': 0.7938118811886605, 'rougeL': 0.8365543601879399, 'rougeLsum': 0.9051011676969527} | [0.9286814242037147, 0.9121661008968365, 0.8907823041130339, 0.8677722819236368] | 2048.0  |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.2.dev0
- Tokenizers 0.15.1