---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ai-doctor-mental-health-ft
  results: []
language:
- en
datasets:
- heliosbrahma/mental_health_chatbot_dataset
---

<!-- 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. -->

# ai-doctor-mental-health-ft

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1807

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.6533        | 0.9730 | 9    | 3.1807          |
| 2.6383        | 1.9459 | 18   | 3.1807          |
| 2.6153        | 2.9189 | 27   | 3.1807          |
| 2.3762        | 4.0    | 37   | 3.1807          |
| 2.6248        | 4.9730 | 46   | 3.1807          |
| 2.6247        | 5.9459 | 55   | 3.1807          |
| 2.6254        | 6.9189 | 64   | 3.1807          |
| 2.3817        | 8.0    | 74   | 3.1807          |
| 2.6391        | 8.9730 | 83   | 3.1807          |
| 2.4431        | 9.7297 | 90   | 3.1807          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1