---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-chat-hf
model-index:
- name: llama2-7b-chat-hf-mental-health
  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. -->

# llama2-7b-chat-hf-mental-health

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: 2.1739
- Rouge Scores: {'rouge1': 0.9084397097988796, 'rouge2': 0.8277762468999725, 'rougeL': 0.5895858205528516, 'rougeLsum': 0.9084397097988796}
- Bleu Scores: [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903]
- 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: 6
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge Scores                                                                                                                | Bleu Scores                                                                      | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-------:|
| 2.1953        | 1.0   | 1    | 2.2184          | {'rouge1': 0.9199491740787802, 'rouge2': 0.8318809005083514, 'rougeL': 0.5854056997640226, 'rougeLsum': 0.9199491740787802} | [0.8715254358896543, 0.8659211417516524, 0.8510857228959539, 0.833791158779687]  | 2048.0  |
| 2.0231        | 2.0   | 2    | 2.1936          | {'rouge1': 0.9096744612563045, 'rouge2': 0.8254608823259653, 'rougeL': 0.5872535534158643, 'rougeLsum': 0.9096744612563045} | [0.8550666362510422, 0.8491213000075178, 0.834566911154976, 0.8177171754641129]  | 2048.0  |
| 1.932         | 3.0   | 3    | 2.1790          | {'rouge1': 0.9083394562821455, 'rouge2': 0.8271173984934778, 'rougeL': 0.5857825128581924, 'rougeLsum': 0.9083394562821455} | [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903] | 2048.0  |
| 1.8681        | 4.0   | 4    | 2.1739          | {'rouge1': 0.9084397097988796, 'rouge2': 0.8277762468999725, 'rougeL': 0.5895858205528516, 'rougeLsum': 0.9084397097988796} | [0.8523376774091347, 0.8462340921367671, 0.8321568176562063, 0.8159562219906903] | 2048.0  |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2