---
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 ag news dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7807

## 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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0091        | 0.32  | 200  | 3.1811          |
| 2.0462        | 0.64  | 400  | 3.1354          |
| 2.1753        | 0.96  | 600  | 3.0508          |
| 1.4582        | 1.28  | 800  | 3.3293          |
| 1.4087        | 1.6   | 1000 | 3.3412          |
| 1.3965        | 1.92  | 1200 | 3.3055          |
| 1.0570        | 2.24  | 1400 | 3.6340          |
| 0.9137        | 2.56  | 1600 | 3.6648          |
| 0.9034        | 2.88  | 1800 | 3.6745          |
| 0.8144        | 3.2   | 2000 | 3.7661          |
| 0.7614        | 3.52  | 2200 | 3.7808          |
| 0.7634        | 3.84  | 2400 | 3.7807          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2