---
base_model: silma-ai/SILMA-9B-Instruct-v1.0
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: MohammedNasser/silma_9b_instruct_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. -->

# MohammedNasser/silma_9b_instruct_ft

This model is a fine-tuned version of [silma-ai/SILMA-9B-Instruct-v1.0](https://huggingface.co./silma-ai/SILMA-9B-Instruct-v1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0463

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1356        | 0.04  | 10   | 1.4071          |
| 0.8079        | 0.08  | 20   | 0.2825          |
| 0.1592        | 0.12  | 30   | 0.1427          |
| 0.1202        | 0.16  | 40   | 0.1121          |
| 0.1095        | 0.2   | 50   | 0.1071          |
| 0.1024        | 0.24  | 60   | 0.1036          |
| 0.0993        | 0.28  | 70   | 0.1002          |
| 0.091         | 0.32  | 80   | 0.0992          |
| 0.1096        | 0.36  | 90   | 0.0965          |
| 0.0943        | 0.4   | 100  | 0.0916          |
| 0.0882        | 0.44  | 110  | 0.0896          |
| 0.0853        | 0.48  | 120  | 0.0848          |
| 0.0767        | 0.52  | 130  | 0.0808          |
| 0.0778        | 0.56  | 140  | 0.0765          |
| 0.0698        | 0.6   | 150  | 0.0734          |
| 0.0784        | 0.64  | 160  | 0.0694          |
| 0.0648        | 0.68  | 170  | 0.0658          |
| 0.0797        | 0.72  | 180  | 0.0630          |
| 0.0591        | 0.76  | 190  | 0.0604          |
| 0.0557        | 0.8   | 200  | 0.0582          |
| 0.0567        | 0.84  | 210  | 0.0561          |
| 0.057         | 0.88  | 220  | 0.0534          |
| 0.0505        | 0.92  | 230  | 0.0515          |
| 0.0483        | 0.96  | 240  | 0.0482          |
| 0.0463        | 1.0   | 250  | 0.0463          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1