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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: HuggingFaceTB/SmolLM2-135M |
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tags: |
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- smol-course |
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- module_1 |
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- trl |
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- sft |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: SmolLM2-FT-MyDataset |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SmolLM2-FT-MyDataset |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0215 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.0715 | 0.0885 | 50 | 1.1590 | |
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| 1.1176 | 0.1770 | 100 | 1.1241 | |
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| 1.0683 | 0.2655 | 150 | 1.0955 | |
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| 1.0537 | 0.3540 | 200 | 1.0797 | |
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| 1.0467 | 0.4425 | 250 | 1.0705 | |
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| 1.0347 | 0.5310 | 300 | 1.0615 | |
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| 1.0088 | 0.6195 | 350 | 1.0548 | |
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| 1.0121 | 0.7080 | 400 | 1.0508 | |
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| 1.0266 | 0.7965 | 450 | 1.0426 | |
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| 1.0817 | 0.8850 | 500 | 1.0337 | |
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| 0.9961 | 0.9735 | 550 | 1.0283 | |
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| 0.8062 | 1.0619 | 600 | 1.0331 | |
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| 0.8166 | 1.1504 | 650 | 1.0299 | |
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| 0.7581 | 1.2389 | 700 | 1.0311 | |
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| 0.8606 | 1.3274 | 750 | 1.0285 | |
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| 0.8147 | 1.4159 | 800 | 1.0249 | |
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| 0.781 | 1.5044 | 850 | 1.0253 | |
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| 0.8281 | 1.5929 | 900 | 1.0228 | |
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| 0.8669 | 1.6814 | 950 | 1.0217 | |
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| 0.7959 | 1.7699 | 1000 | 1.0215 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.2.0 |
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- Tokenizers 0.19.1 |
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