File size: 1,350 Bytes
631cdef 83f61eb eb3cc50 9040514 eb3cc50 83f61eb eb3cc50 631cdef eb3cc50 83f61eb eb3cc50 83f61eb eb3cc50 83f61eb eb3cc50 83f61eb eb3cc50 83f61eb eb3cc50 83f61eb eb3cc50 83f61eb 631cdef |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
datasets:
- sawalni-ai/fw-darija
language:
- ar
base_model:
- HuggingFaceTB/SmolLM-135M
pipeline_tag: text-generation
---
# SmolLM-135M-ft-ary
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on the [sawalni-ai/fw-darija](https://huggingface.co/datasets/sawalni-ai/fw-darija) dataset.
- **Developed by:** EL MAJJODI Abdeljalil & Omneity Labs team
- **Model type:** Text Generation
- **Language(s) (NLP):** Darija (Arabic-ary)
- **Finetuned from model:** HuggingFaceTB/SmolLM-135M
It achieves the following results on the evaluation set:
- **Loss**: 1.7018
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7026 | 1.0 | 68699 | 1.7018 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.1.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0 |