metadata
library_name: transformers
base_model: PowerInfer/SmallThinker-3B-Preview
tags:
- generated_from_trainer
model-index:
- name: smartmind-cyberone-20250402
results: []
smartmind-cyberone-20250402
This model is a fine-tuned version of PowerInfer/SmallThinker-3B-Preview on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0308
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 64
- total_train_batch_size: 4096
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3817 | 0.3527 | 30 | 0.2134 |
| 0.1292 | 0.7054 | 60 | 0.0959 |
| 0.0931 | 1.0470 | 90 | 0.3264 |
| 0.125 | 1.3997 | 120 | 0.0485 |
| 0.057 | 1.7524 | 150 | 0.0569 |
| 0.0503 | 2.0940 | 180 | 0.0444 |
| 0.0444 | 2.4467 | 210 | 0.0426 |
| 0.0405 | 2.7994 | 240 | 0.0346 |
| 0.0472 | 3.1411 | 270 | 0.0614 |
| 0.045 | 3.4938 | 300 | 0.0406 |
| 0.0405 | 3.8464 | 330 | 0.0328 |
| 0.0345 | 4.1881 | 360 | 0.0300 |
| 0.0333 | 4.5408 | 390 | 0.0363 |
| 0.0325 | 4.8935 | 420 | 0.0308 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1