---
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM-1.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c1eef9af-6bc1-4e0b-be63-97c40bc93592
  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>

# c1eef9af-6bc1-4e0b-be63-97c40bc93592

This model is a fine-tuned version of [unsloth/SmolLM-1.7B](https://huggingface.co/unsloth/SmolLM-1.7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7795

## 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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- 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        | 0.0001 | 1    | 1.0964          |
| 1.0426        | 0.0031 | 50   | 0.9096          |
| 0.9245        | 0.0061 | 100  | 0.8622          |
| 0.9113        | 0.0092 | 150  | 0.8378          |
| 0.8542        | 0.0122 | 200  | 0.8199          |
| 0.8947        | 0.0153 | 250  | 0.8053          |
| 0.872         | 0.0183 | 300  | 0.7967          |
| 0.8638        | 0.0214 | 350  | 0.7876          |
| 0.819         | 0.0244 | 400  | 0.7825          |
| 0.8681        | 0.0275 | 450  | 0.7797          |
| 0.8238        | 0.0306 | 500  | 0.7795          |


### Framework versions

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