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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# aiHumangpt-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: 2.5504

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.058         | 0.91  | 5    | 2.7601          |
| 2.3878        | 2.0   | 11   | 2.6707          |
| 2.7956        | 2.91  | 16   | 2.6278          |
| 2.2611        | 4.0   | 22   | 2.6003          |
| 2.6933        | 4.91  | 27   | 2.5844          |
| 2.2262        | 6.0   | 33   | 2.5682          |
| 2.63          | 6.91  | 38   | 2.5592          |
| 2.1795        | 8.0   | 44   | 2.5528          |
| 2.5948        | 8.91  | 49   | 2.5505          |
| 1.2205        | 9.09  | 50   | 2.5504          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2