---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: business-news-generator-v4
  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-v4

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4468

## 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: 0.0004
- train_batch_size: 32
- 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: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.721         | 0.1066 | 100  | 2.5413          |
| 1.7099        | 0.2132 | 200  | 2.5191          |
| 1.7419        | 0.3198 | 300  | 2.5133          |
| 1.7112        | 0.4264 | 400  | 2.4781          |
| 1.7117        | 0.5330 | 500  | 2.4521          |
| 1.7492        | 0.6397 | 600  | 2.4189          |
| 1.691         | 0.7463 | 700  | 2.3948          |
| 1.6631        | 0.8529 | 800  | 2.3661          |
| 1.6642        | 0.9595 | 900  | 2.3370          |
| 1.2417        | 1.0661 | 1000 | 2.4726          |
| 0.9986        | 1.1727 | 1100 | 2.4814          |
| 0.9757        | 1.2793 | 1200 | 2.4765          |
| 0.9743        | 1.3859 | 1300 | 2.4615          |
| 0.9819        | 1.4925 | 1400 | 2.4594          |
| 0.9739        | 1.5991 | 1500 | 2.4506          |
| 0.9461        | 1.7058 | 1600 | 2.4477          |
| 0.9671        | 1.8124 | 1700 | 2.4458          |
| 0.9275        | 1.9190 | 1800 | 2.4468          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1