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--- |
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library_name: transformers |
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license: mit |
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base_model: nisten/Biggie-SmoLlm-0.15B-Base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: capybara_finetuned_results |
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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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# qwq_CoT_finetuned_results |
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This model is a fine-tuned version of [nisten/Biggie-SmoLlm-0.15B-Base](https://huggingface.co/nisten/Biggie-SmoLlm-0.15B-Base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.9331 |
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- eval_runtime: 274.7295 |
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- eval_samples_per_second: 3.64 |
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- eval_steps_per_second: 0.455 |
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- epoch: 0.1826 |
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- step: 2100 |
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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: 0.0002 |
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- train_batch_size: 6 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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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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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 3000 |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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