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