---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: v5SmolLM2-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. -->

# v5SmolLM2-business-news-generator

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: 3.0644

## 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-06
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6465        | 0.08  | 100  | 3.4739          |
| 3.3588        | 0.16  | 200  | 3.3058          |
| 3.2424        | 0.24  | 300  | 3.2164          |
| 3.1289        | 0.32  | 400  | 3.1625          |
| 3.0872        | 0.4   | 500  | 3.1281          |
| 3.0701        | 0.48  | 600  | 3.1049          |
| 3.0425        | 0.56  | 700  | 3.0895          |
| 3.101         | 0.64  | 800  | 3.0783          |
| 2.9676        | 0.72  | 900  | 3.0710          |
| 3.0192        | 0.8   | 1000 | 3.0668          |
| 2.9593        | 0.88  | 1100 | 3.0648          |
| 2.9943        | 0.96  | 1200 | 3.0644          |


### Framework versions

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