66 lines
1.8 KiB
Markdown
66 lines
1.8 KiB
Markdown
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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/SmolLM2-135M
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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-generator5
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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-generator5
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7533
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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: 8e-06
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- train_batch_size: 16
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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: reduce_lr_on_plateau
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- lr_scheduler_warmup_ratio: 0.1
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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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| 3.2896 | 0.2665 | 250 | 3.0878 |
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| 2.9756 | 0.5330 | 500 | 2.9627 |
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| 2.8358 | 0.7996 | 750 | 2.8931 |
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| 2.7769 | 1.0661 | 1000 | 2.8442 |
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| 2.6909 | 1.3326 | 1250 | 2.8078 |
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| 2.6447 | 1.5991 | 1500 | 2.7781 |
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| 2.5914 | 1.8657 | 1750 | 2.7533 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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