metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: Good-generator
results: []
Good-generator
This model is a fine-tuned version of 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