---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-13B-fp16
model-index:
- name: llama-2-13b-fp16-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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# llama-2-13b-fp16-english-to-hinglish-translation

This model is a fine-tuned version of [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7183
- Rouge Scores: {'rouge1': 0.9211071676780294, 'rouge2': 0.8281733381382788, 'rougeL': 0.8654973199305598, 'rougeLsum': 0.921063419066345}
- Bleu Scores: [0.9430761623222732, 0.9291834498365306, 0.9116309260224186, 0.8930302852359673]
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:|
| 0.7634        | 1.0   | 500  | 0.7242          | {'rouge1': 0.9226356216479343, 'rouge2': 0.8298878258164286, 'rougeL': 0.8653820285905314, 'rougeLsum': 0.9225028041599788} | [0.9438235001535462, 0.9299872780706577, 0.9124966958220146, 0.8939299935025186] | 2048.0  |
| 0.5477        | 2.0   | 1000 | 0.7183          | {'rouge1': 0.9211071676780294, 'rouge2': 0.8281733381382788, 'rougeL': 0.8654973199305598, 'rougeLsum': 0.921063419066345}  | [0.9430761623222732, 0.9291834498365306, 0.9116309260224186, 0.8930302852359673] | 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