---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
model-index:
- name: SmolHausaLM-135M
  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. -->

# SmolHausaLM-135M

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 9.3567

## 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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 50
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 44.2818       | 0.3526 | 100  | 9.5091          |
| 37.501        | 0.7052 | 200  | 8.9090          |
| 36.3613       | 1.0599 | 300  | 8.8260          |
| 34.3793       | 1.4126 | 400  | 8.9936          |
| 34.1721       | 1.7652 | 500  | 8.9672          |
| 33.3041       | 2.1199 | 600  | 9.0472          |
| 31.0766       | 2.4725 | 700  | 9.0407          |
| 30.7626       | 2.8251 | 800  | 9.1113          |
| 28.3702       | 3.1798 | 900  | 9.2313          |
| 25.6234       | 3.5324 | 1000 | 9.2606          |
| 25.4011       | 3.8850 | 1100 | 9.2470          |
| 22.6147       | 4.2398 | 1200 | 9.3353          |
| 21.252        | 4.5924 | 1300 | 9.3529          |
| 21.2066       | 4.9450 | 1400 | 9.3567          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0