| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: HuggingFaceTB/SmolLM2-135M |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: desired_run |
| 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. --> |
|
|
| # desired_run |
| |
| 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: 0.5396 |
| - Accuracy: 0.9214 |
| - F1: 0.9214 |
| |
| ## 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 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - 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: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| - label_smoothing_factor: 0.1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 2.5858 | 1.0 | 313 | 0.5200 | 0.9184 | 0.9185 | |
| | 1.8127 | 2.0 | 626 | 0.5246 | 0.9179 | 0.9178 | |
| | 1.5712 | 3.0 | 939 | 0.5342 | 0.9188 | 0.9186 | |
| | 1.4496 | 4.0 | 1252 | 0.5358 | 0.9201 | 0.9200 | |
| | 1.4135 | 5.0 | 1565 | 0.5396 | 0.9214 | 0.9214 | |
| | 1.4042 | 6.0 | 1878 | 0.5420 | 0.92 | 0.9200 | |
| | 1.4004 | 7.0 | 2191 | 0.5407 | 0.9196 | 0.9195 | |
| | 1.3981 | 8.0 | 2504 | 0.5414 | 0.9207 | 0.9205 | |
| | 1.3969 | 9.0 | 2817 | 0.5413 | 0.92 | 0.9199 | |
| | 1.3957 | 10.0 | 3130 | 0.5419 | 0.9195 | 0.9193 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
| |
