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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-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SmolLM2-135M-Instruct-relevance-sft |
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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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# SmolLM2-135M-Instruct-relevance-sft |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7045 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 2024 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.916 | 0.3854 | 500 | 0.7372 | |
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| 0.8854 | 0.7707 | 1000 | 0.7177 | |
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| 0.9783 | 1.1562 | 1500 | 0.7117 | |
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| 0.9635 | 1.5415 | 2000 | 0.7066 | |
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| 0.9591 | 1.9269 | 2500 | 0.7046 | |
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| 0.8954 | 2.3123 | 3000 | 0.7044 | |
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| 0.8896 | 2.6977 | 3500 | 0.7045 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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