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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: databricks_smoLLM |
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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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# databricks_smoLLM |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co./HuggingFaceTB/SmolLM-135M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3961 |
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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: 2e-05 |
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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: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 375 | 2.2360 | |
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| 2.2313 | 2.0 | 750 | 2.2261 | |
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| 1.9899 | 3.0 | 1125 | 2.2366 | |
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| 1.8532 | 4.0 | 1500 | 2.2560 | |
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| 1.8532 | 5.0 | 1875 | 2.2812 | |
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| 1.7256 | 6.0 | 2250 | 2.3115 | |
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| 1.6295 | 7.0 | 2625 | 2.3371 | |
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| 1.5634 | 8.0 | 3000 | 2.3663 | |
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| 1.5634 | 9.0 | 3375 | 2.3875 | |
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| 1.5089 | 10.0 | 3750 | 2.3961 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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