| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: HuggingFaceTB/SmolLM2-135M |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: SmolLM2-testing |
| | 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-testing |
| |
|
| | 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: 2.8183 |
| |
|
| | ## 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: 3e-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 | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 3.3244 | 0.1066 | 100 | 3.1575 | |
| | | 2.9347 | 0.2132 | 200 | 3.0467 | |
| | | 2.8302 | 0.3198 | 300 | 2.9874 | |
| | | 2.8362 | 0.4264 | 400 | 2.9479 | |
| | | 2.7913 | 0.5330 | 500 | 2.9120 | |
| | | 2.7092 | 0.6397 | 600 | 2.8882 | |
| | | 2.6953 | 0.7463 | 700 | 2.8684 | |
| | | 2.6043 | 0.8529 | 800 | 2.8508 | |
| | | 2.5504 | 0.9595 | 900 | 2.8356 | |
| | | 2.4937 | 1.0661 | 1000 | 2.8345 | |
| | | 2.3495 | 1.1727 | 1100 | 2.8333 | |
| | | 2.3568 | 1.2793 | 1200 | 2.8295 | |
| | | 2.3536 | 1.3859 | 1300 | 2.8278 | |
| | | 2.3287 | 1.4925 | 1400 | 2.8236 | |
| | | 2.3339 | 1.5991 | 1500 | 2.8211 | |
| | | 2.3566 | 1.7058 | 1600 | 2.8193 | |
| | | 2.3626 | 1.8124 | 1700 | 2.8185 | |
| | | 2.3146 | 1.9190 | 1800 | 2.8183 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.0 |
| | |
