---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-chat-hf
model-index:
- name: llama2-7b-chat-hf-english-to-hinglish
  results: []
---

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

This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1746
- Rouge Scores: {'rouge1': 0.8885908254946812, 'rouge2': 0.7710863010584095, 'rougeL': 0.5959196285242199, 'rougeLsum': 0.8887611638083375}
- Bleu Scores: [0.9146534717527709, 0.8952839315431885, 0.8704729625819737, 0.8440396772968578]
- 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge Scores                                                                                                                | Bleu Scores                                                                      | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:|
| 2.4347        | 1.0   | 19   | 2.2502          | {'rouge1': 0.8978799395571857, 'rouge2': 0.7786106895702147, 'rougeL': 0.5929935988553734, 'rougeLsum': 0.8979590919999867} | [0.8924998190589056, 0.8765058761668494, 0.8529072060046804, 0.8271335845757618] | 2048.0  |
| 2.1641        | 2.0   | 38   | 2.1817          | {'rouge1': 0.8908622699691104, 'rouge2': 0.787877924739433, 'rougeL': 0.5912826901692394, 'rougeLsum': 0.8911134776621241}  | [0.9026796342264707, 0.887688173576005, 0.8645415966459645, 0.839085075553431]   | 2048.0  |
| 2.085         | 3.0   | 57   | 2.1746          | {'rouge1': 0.8885908254946812, 'rouge2': 0.7710863010584095, 'rougeL': 0.5959196285242199, 'rougeLsum': 0.8887611638083375} | [0.9146534717527709, 0.8952839315431885, 0.8704729625819737, 0.8440396772968578] | 2048.0  |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2