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Model: sawalni-ai/smollm-fw-darija Source: Original Platform
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README.md
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README.md
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---
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datasets:
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- sawalni-ai/fw-darija
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language:
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- ar
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base_model:
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- HuggingFaceTB/SmolLM-135M
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pipeline_tag: text-generation
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---
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# SmolLM-135M-ft-ary
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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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.
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This is an open experiment unrelated to the main Sawalni LLM.
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- **Developed by:** EL MAJJODI Abdeljalil & Omneity Labs team
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- **Model type:** Text Generation
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- **Language(s) (NLP):** Darija (Arabic-ary)
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- **Finetuned from model:** HuggingFaceTB/SmolLM-135M
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It achieves the following results on the evaluation set:
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- **Loss**: 1.7018
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with:
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- betas=(0.9,0.999)
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- epsilon=1e-08
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- optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.7026 | 1.0 | 68699 | 1.7018 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.1.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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