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library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: SmolLM2-testing
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SmolLM2-testing
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8183
## 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: 3e-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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.3244 | 0.1066 | 100 | 3.1575 |
| 2.9347 | 0.2132 | 200 | 3.0467 |
| 2.8302 | 0.3198 | 300 | 2.9874 |
| 2.8362 | 0.4264 | 400 | 2.9479 |
| 2.7913 | 0.5330 | 500 | 2.9120 |
| 2.7092 | 0.6397 | 600 | 2.8882 |
| 2.6953 | 0.7463 | 700 | 2.8684 |
| 2.6043 | 0.8529 | 800 | 2.8508 |
| 2.5504 | 0.9595 | 900 | 2.8356 |
| 2.4937 | 1.0661 | 1000 | 2.8345 |
| 2.3495 | 1.1727 | 1100 | 2.8333 |
| 2.3568 | 1.2793 | 1200 | 2.8295 |
| 2.3536 | 1.3859 | 1300 | 2.8278 |
| 2.3287 | 1.4925 | 1400 | 2.8236 |
| 2.3339 | 1.5991 | 1500 | 2.8211 |
| 2.3566 | 1.7058 | 1600 | 2.8193 |
| 2.3626 | 1.8124 | 1700 | 2.8185 |
| 2.3146 | 1.9190 | 1800 | 2.8183 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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