| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: HuggingFaceTB/SmolLM2-135M-Instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: tiny-turn |
| 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. --> |
|
|
| # tiny-turn |
|
|
| This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5122 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - 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 |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:-----:|:---------------:| |
| | 1.5988 | 0.4819 | 1000 | 1.6036 | |
| | 1.5668 | 0.9639 | 2000 | 1.5508 | |
| | 1.5337 | 1.4458 | 3000 | 1.5326 | |
| | 1.5210 | 1.9277 | 4000 | 1.5227 | |
| | 1.5078 | 2.4096 | 5000 | 1.5176 | |
| | 1.5247 | 2.8916 | 6000 | 1.5157 | |
| | 1.5034 | 3.3735 | 7000 | 1.5140 | |
| | 1.5273 | 3.8554 | 8000 | 1.5137 | |
| | 1.5209 | 4.3373 | 9000 | 1.5127 | |
| | 1.5108 | 4.8193 | 10000 | 1.5123 | |
| | 1.5134 | 5.3012 | 11000 | 1.5123 | |
| | 1.5131 | 5.7831 | 12000 | 1.5124 | |
| | 1.5197 | 6.2651 | 13000 | 1.5122 | |
| | 1.5254 | 6.7470 | 14000 | 1.5122 | |
| | 1.5139 | 7.2289 | 15000 | 1.5120 | |
| | 1.5068 | 7.7108 | 16000 | 1.5122 | |
| | 1.5128 | 8.1928 | 17000 | 1.5121 | |
| | 1.5168 | 8.6747 | 18000 | 1.5122 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 5.5.4 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.22.2 |
|
|
