metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
model-index:
- name: SmolHausaLM-135M
results: []
SmolHausaLM-135M
This model is a fine-tuned version of 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