---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: business-news-generator
  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. -->

# business-news-generator

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2252

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- 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: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1444        | 0.32  | 200  | 3.3102          |
| 2.8329        | 0.64  | 400  | 3.2119          |
| 2.6655        | 0.96  | 600  | 3.1009          |
| 1.6948        | 1.28  | 800  | 3.2353          |
| 1.5119        | 1.6   | 1000 | 3.2194          |
| 1.4598        | 1.92  | 1200 | 3.2252          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.4.1
- Tokenizers 0.21.1