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---
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: 3.2262
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1445 | 0.32 | 200 | 3.3104 |
| 2.8324 | 0.64 | 400 | 3.2118 |
| 2.6586 | 0.96 | 600 | 3.0967 |
| 1.6904 | 1.28 | 800 | 3.2338 |
| 1.5063 | 1.6 | 1000 | 3.2210 |
| 1.4548 | 1.92 | 1200 | 3.2262 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 2.16.1
- Tokenizers 0.20.3
|