metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- causal-language-model
- generated_from_trainer
model-index:
- name: full_finetuning
results: []
full_finetuning
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: 0.9702
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0076 | 1.0 | 142 | 1.0190 |
| 0.9486 | 2.0 | 284 | 0.9752 |
| 0.8546 | 3.0 | 426 | 0.9600 |
| 0.808 | 4.0 | 568 | 0.9541 |
| 0.7807 | 5.0 | 710 | 0.9538 |
| 0.7284 | 6.0 | 852 | 0.9560 |
| 0.7251 | 7.0 | 994 | 0.9609 |
| 0.6856 | 8.0 | 1136 | 0.9648 |
| 0.6421 | 9.0 | 1278 | 0.9684 |
| 0.6344 | 10.0 | 1420 | 0.9702 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1