metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
model-index:
- name: tiny-turn
results: []
tiny-turn
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2