| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: HuggingFaceTB/SmolLM2-135M |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: SmolLM2-test2 |
| | 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-test2 |
| |
|
| | 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: 2.7212 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 2 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 2.9047 | 0.24 | 300 | 2.9205 | |
| | | 2.6816 | 0.48 | 600 | 2.8233 | |
| | | 2.6018 | 0.72 | 900 | 2.7719 | |
| | | 2.4895 | 0.96 | 1200 | 2.7304 | |
| | | 2.2052 | 1.2 | 1500 | 2.7403 | |
| | | 2.1423 | 1.44 | 1800 | 2.7268 | |
| | | 2.1268 | 1.6800 | 2100 | 2.7227 | |
| | | 2.1151 | 1.92 | 2400 | 2.7212 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.0 |
| | |
