metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- generated_from_trainer
model-index:
- name: smollm_flutter_packages_model_structured_text
results: []
smollm_flutter_packages_model_structured_text
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8575
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: 8
- eval_batch_size: 8
- seed: 42
- 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: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5609 | 1.0 | 197 | 0.8989 |
| 0.4427 | 2.0 | 394 | 0.8667 |
| 0.4213 | 3.0 | 591 | 0.8575 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1