| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: HuggingFaceTB/SmolLM2-135M |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: SmolLM2-135M-finetuned-python-purpose |
| | results: [] |
| | datasets: |
| | - flytech/python-codes-25k |
| | language: |
| | - en |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # SmolLM2-135M-finetuned-python-purpose |
| |
|
| | This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on [flytech/python-codes-25k](https://huggingface.co/flytech/python-codes-25k). |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3285 |
| |
|
| | ## 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: 0.0003 |
| | - train_batch_size: 12 |
| | - eval_batch_size: 12 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.7266 | 1.0 | 2745 | 0.6829 | |
| | | 0.4378 | 2.0 | 5490 | 0.5090 | |
| | | 0.2008 | 3.0 | 8235 | 0.3869 | |
| | | 0.071 | 4.0 | 10980 | 0.3293 | |
| | | 0.0145 | 5.0 | 13725 | 0.3285 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.1 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 4.4.1 |
| | - Tokenizers 0.22.1 |
