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

# rapper-gpt

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: 1.1394

## 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: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0259        | 0.8889  | 4    | 0.9759          |
| 0.7299        | 2.0     | 9    | 0.9117          |
| 0.8055        | 2.8889  | 13   | 0.8819          |
| 0.5669        | 4.0     | 18   | 0.8468          |
| 0.622         | 4.8889  | 22   | 0.8584          |
| 0.4568        | 6.0     | 27   | 0.9003          |
| 0.5379        | 6.8889  | 31   | 0.9569          |
| 0.4119        | 8.0     | 36   | 0.9821          |
| 0.4993        | 8.8889  | 40   | 1.0176          |
| 0.3941        | 10.0    | 45   | 1.0345          |
| 0.4832        | 10.8889 | 49   | 1.0687          |
| 0.3836        | 12.0    | 54   | 1.0911          |
| 0.4758        | 12.8889 | 58   | 1.0688          |
| 0.3788        | 14.0    | 63   | 1.0902          |
| 0.4711        | 14.8889 | 67   | 1.0868          |
| 0.3749        | 16.0    | 72   | 1.0949          |
| 0.4663        | 16.8889 | 76   | 1.1072          |
| 0.3724        | 18.0    | 81   | 1.1164          |
| 0.464         | 18.8889 | 85   | 1.1282          |
| 0.3702        | 20.0    | 90   | 1.1350          |
| 0.4619        | 20.8889 | 94   | 1.1387          |
| 0.3684        | 22.0    | 99   | 1.1391          |
| 0.4108        | 22.2222 | 100  | 1.1394          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1