---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: privacygpt-1.2
  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. -->

# privacygpt-1.2

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3523

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 1.38          | 1.0000 | 5772  | 1.3702          |
| 1.3384        | 1.9999 | 11544 | 1.3626          |
| 1.325         | 2.9999 | 17316 | 1.3594          |
| 1.3157        | 4.0    | 23089 | 1.3574          |
| 1.3085        | 5.0000 | 28861 | 1.3557          |
| 1.3021        | 5.9999 | 34633 | 1.3546          |
| 1.2962        | 6.9999 | 40405 | 1.3538          |
| 1.2906        | 8.0    | 46178 | 1.3529          |
| 1.2858        | 9.0000 | 51950 | 1.3523          |
| 1.2811        | 9.9996 | 57720 | 1.3523          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1