---
library_name: peft
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
tags:
- base_model:adapter:HuggingFaceTB/SmolLM2-1.7B-Instruct
- transformers
pipeline_tag: text-generation
model-index:
- name: SmolLM2-1.7B-Instruct-tuned
  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. -->

# SmolLM2-1.7B-Instruct-tuned

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4442
- Perplexity: 4.2384

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.003
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Perplexity |
|:-------------:|:------:|:----:|:---------------:|:----------:|
| No log        | 0      | 0    | 3.1117          | 22.4598    |
| No log        | 0.6011 | 333  | 1.5821          | 4.8650     |
| 1.6345        | 1.2022 | 666  | 1.5242          | 4.5915     |
| 1.6345        | 1.8032 | 999  | 1.4899          | 4.4364     |
| 1.4894        | 2.4043 | 1332 | 1.4634          | 4.3205     |
| 1.4894        | 3      | 1664 | 1.4442          | 4.2384     |


### Framework versions

- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4