peft safetensors generated_from_trainer base_model:NousResearch/Llama-2-7b-hf base_model:adapter:NousResearch/Llama-2-7b-hf region:us
---
base_model: NousResearch/Llama-2-7b-hf
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: llama2-7b-english-to-hinglish-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2-7b-english-to-hinglish-translation

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7508
- Rouge Scores: {'rouge1': 0.9207934134490793, 'rouge2': 0.8268216875143521, 'rougeL': 0.863418556340243, 'rougeLsum': 0.9207165318568765}
- Bleu Scores: [0.9430535279899742, 0.9289517504059885, 0.9111307023404618, 0.8922236591496603]
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:|
| 0.8283        | 1.0   | 500  | 0.7644          | {'rouge1': 0.921717672607307, 'rouge2': 0.8269254584175559, 'rougeL': 0.8617480706939217, 'rougeLsum': 0.9216499826848323} | [0.9428124451183093, 0.9288838577090098, 0.910999858543974, 0.8919623155075178]  | 2048.0  |
| 0.5824        | 2.0   | 1000 | 0.7508          | {'rouge1': 0.9207934134490793, 'rouge2': 0.8268216875143521, 'rougeL': 0.863418556340243, 'rougeLsum': 0.9207165318568765} | [0.9430535279899742, 0.9289517504059885, 0.9111307023404618, 0.8922236591496603] | 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