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Model: sawalni-ai/smollm-fw-darija
Source: Original Platform

.gitattributes

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README.md

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+---
+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.
+This is an open experiment unrelated to the main Sawalni LLM.
+
+- **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)
+  - epsilon=1e-08
+  - 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

config.json

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+{
+  "_name_or_path": "abdeljalilELmajjodi/SmolLM-135M-ft-ary",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
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+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.46.3"
+}

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special_tokens_map.json

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tokenizer_config.json

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