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---
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library_name: transformers
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM-135M
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tags:
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- generated_from_trainer
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model-index:
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- name: business-news-generator
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# business-news-generator
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2262
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.1445 | 0.32 | 200 | 3.3104 |
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| 2.8324 | 0.64 | 400 | 3.2118 |
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| 2.6586 | 0.96 | 600 | 3.0967 |
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| 1.6904 | 1.28 | 800 | 3.2338 |
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| 1.5063 | 1.6 | 1000 | 3.2210 |
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| 1.4548 | 1.92 | 1200 | 3.2262 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1
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- Datasets 2.16.1
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- Tokenizers 0.20.3
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