70 lines
2.0 KiB
Markdown
70 lines
2.0 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: v5SmolLM2-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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# v5SmolLM2-business-news-generator
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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: 3.0644
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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: 5e-06
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6465 | 0.08 | 100 | 3.4739 |
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| 3.3588 | 0.16 | 200 | 3.3058 |
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| 3.2424 | 0.24 | 300 | 3.2164 |
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| 3.1289 | 0.32 | 400 | 3.1625 |
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| 3.0872 | 0.4 | 500 | 3.1281 |
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| 3.0701 | 0.48 | 600 | 3.1049 |
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| 3.0425 | 0.56 | 700 | 3.0895 |
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| 3.101 | 0.64 | 800 | 3.0783 |
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| 2.9676 | 0.72 | 900 | 3.0710 |
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| 3.0192 | 0.8 | 1000 | 3.0668 |
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| 2.9593 | 0.88 | 1100 | 3.0648 |
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| 2.9943 | 0.96 | 1200 | 3.0644 |
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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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