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

# Paul_AI-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: 0.4433

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.4026        | 0.9655 | 7    | 2.6999          |
| 2.2003        | 1.9310 | 14   | 1.6326          |
| 1.2189        | 2.8966 | 21   | 0.8858          |
| 0.6073        | 4.0    | 29   | 0.5774          |
| 0.5123        | 4.9655 | 36   | 0.5030          |
| 0.4497        | 5.9310 | 43   | 0.4705          |
| 0.4181        | 6.8966 | 50   | 0.4567          |
| 0.3456        | 8.0    | 58   | 0.4467          |
| 0.3803        | 8.9655 | 65   | 0.4441          |
| 0.343         | 9.6552 | 70   | 0.4433          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1