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Duplicate from osanseviero/business-news-generator

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+ ---
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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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+
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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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+
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+ # business-news-generator
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+
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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: 3.2288
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.2009 | 0.32 | 200 | 3.3100 |
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+ | 2.8833 | 0.64 | 400 | 3.2118 |
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+ | 2.7102 | 0.96 | 600 | 3.0997 |
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+ | 1.722 | 1.28 | 800 | 3.2401 |
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+ | 1.5371 | 1.6 | 1000 | 3.2240 |
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+ | 1.4841 | 1.92 | 1200 | 3.2288 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "use_cache": true,
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+ "vocab_size": 49152
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+ }
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