---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: mental-health-advisorGpt
  results: []
pipeline_tag: question-answering
---

<!-- 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. -->

# working

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 the [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2984

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.1139        | 0.9412 | 12   | 2.3084          |
| 1.9191        | 1.9608 | 25   | 1.7055          |
| 1.6083        | 2.9804 | 38   | 1.5741          |
| 1.496         | 4.0    | 51   | 1.4695          |
| 1.5309        | 4.9412 | 63   | 1.4038          |
| 1.3627        | 5.9608 | 76   | 1.3573          |
| 1.3111        | 6.9804 | 89   | 1.3281          |
| 1.2995        | 8.0    | 102  | 1.3092          |
| 1.3866        | 8.9412 | 114  | 1.2998          |
| 1.18          | 9.4118 | 120  | 1.2984          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1