---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- generated_from_trainer
model-index:
- name: story_model
  results: []
---

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

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0773

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0525        | 0.4167 | 500  | 0.8982          |
| 0.7758        | 0.8333 | 1000 | 0.6485          |
| 0.4848        | 1.25   | 1500 | 0.4354          |
| 0.2891        | 1.6667 | 2000 | 0.2627          |
| 0.1646        | 2.0833 | 2500 | 0.1497          |
| 0.0817        | 2.5    | 3000 | 0.1007          |
| 0.0614        | 2.9167 | 3500 | 0.0773          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3