| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: HuggingFaceTB/SmolLM2-135M |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Good-generator |
| | 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. --> |
| |
|
| | # Good-generator |
| |
|
| | 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: 2.4267 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 128 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.12 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 3.3182 | 0.1067 | 25 | 2.9325 | |
| | | 2.7389 | 0.2133 | 50 | 2.7289 | |
| | | 2.6049 | 0.32 | 75 | 2.6352 | |
| | | 2.4956 | 0.4267 | 100 | 2.5653 | |
| | | 2.4569 | 0.5333 | 125 | 2.5161 | |
| | | 2.4627 | 0.64 | 150 | 2.4759 | |
| | | 2.3903 | 0.7467 | 175 | 2.4464 | |
| | | 2.3572 | 0.8533 | 200 | 2.4319 | |
| | | 2.3607 | 0.96 | 225 | 2.4267 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.57.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| | |
