---
library_name: peft
license: apache-2.0
base_model: unsloth/SmolLM-135M
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 68b65cd3-8302-4217-ab32-73fe23dbb6c7
  results: []
---

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[<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>

# 68b65cd3-8302-4217-ab32-73fe23dbb6c7

This model is a fine-tuned version of [unsloth/SmolLM-135M](https://huggingface.co./unsloth/SmolLM-135M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0726

## 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: 0.000217
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 274

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0109 | 1    | 1.3897          |
| 1.2139        | 0.5464 | 50   | 1.1595          |
| 1.1682        | 1.0956 | 100  | 1.1245          |
| 1.1145        | 1.6421 | 150  | 1.0945          |
| 1.0988        | 2.1913 | 200  | 1.0749          |
| 1.0443        | 2.7377 | 250  | 1.0726          |


### Framework versions

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