70 lines
1.9 KiB
Markdown
70 lines
1.9 KiB
Markdown
---
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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 ag news dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7807
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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 OptimizerNames.ADAMW_TORCH_FUSED 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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.0091 | 0.32 | 200 | 3.1811 |
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| 2.0462 | 0.64 | 400 | 3.1354 |
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| 2.1753 | 0.96 | 600 | 3.0508 |
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| 1.4582 | 1.28 | 800 | 3.3293 |
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| 1.4087 | 1.6 | 1000 | 3.3412 |
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| 1.3965 | 1.92 | 1200 | 3.3055 |
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| 1.0570 | 2.24 | 1400 | 3.6340 |
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| 0.9137 | 2.56 | 1600 | 3.6648 |
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| 0.9034 | 2.88 | 1800 | 3.6745 |
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| 0.8144 | 3.2 | 2000 | 3.7661 |
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| 0.7614 | 3.52 | 2200 | 3.7808 |
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| 0.7634 | 3.84 | 2400 | 3.7807 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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