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

# amantimalsina-apart

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: 0.5105

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3373        | 1.0   | 8    | 2.8101          |
| 2.1243        | 2.0   | 16   | 1.4270          |
| 1.1544        | 3.0   | 24   | 0.8546          |
| 0.7401        | 4.0   | 32   | 0.6124          |
| 0.5708        | 5.0   | 40   | 0.5382          |
| 0.5275        | 6.0   | 48   | 0.5274          |
| 0.5099        | 7.0   | 56   | 0.5151          |
| 0.4976        | 8.0   | 64   | 0.5129          |
| 0.4897        | 9.0   | 72   | 0.5092          |
| 0.4854        | 10.0  | 80   | 0.5105          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1