---
library_name: peft
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-1.7B
tags:
- base_model:adapter:HuggingFaceTB/SmolLM2-1.7B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: slm-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# slm-model

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4884

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch_fused 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: 0.03
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4907        | 3.0   | 159  | 0.4884          |


### Framework versions

- PEFT 0.19.1
- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2