Model save

README.md

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+---
+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

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generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.47.0"
+}