---
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM2-1.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c631b668-a7fe-4682-949b-1d81685337f2
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# c631b668-a7fe-4682-949b-1d81685337f2

This model is a fine-tuned version of [unsloth/SmolLM2-1.7B](https://huggingface.co/unsloth/SmolLM2-1.7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2226

## 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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0002 | 1    | 1.5368          |
| 1.3959        | 0.0116 | 50   | 1.3478          |
| 1.3112        | 0.0231 | 100  | 1.3007          |
| 1.2917        | 0.0347 | 150  | 1.2785          |
| 1.2684        | 0.0463 | 200  | 1.2622          |
| 1.257         | 0.0579 | 250  | 1.2484          |
| 1.2571        | 0.0694 | 300  | 1.2384          |
| 1.2338        | 0.0810 | 350  | 1.2304          |
| 1.2192        | 0.0926 | 400  | 1.2252          |
| 1.1918        | 0.1041 | 450  | 1.2230          |
| 1.2379        | 0.1157 | 500  | 1.2226          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1