metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: SmolLM2-test2
results: []
SmolLM2-test2
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: 2.7212
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: 8
- eval_batch_size: 8
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9047 | 0.24 | 300 | 2.9205 |
| 2.6816 | 0.48 | 600 | 2.8233 |
| 2.6018 | 0.72 | 900 | 2.7719 |
| 2.4895 | 0.96 | 1200 | 2.7304 |
| 2.2052 | 1.2 | 1500 | 2.7403 |
| 2.1423 | 1.44 | 1800 | 2.7268 |
| 2.1268 | 1.6800 | 2100 | 2.7227 |
| 2.1151 | 1.92 | 2400 | 2.7212 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0