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--- |
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language: |
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- multilingual |
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base_model: meta-llama/Llama-2-13b-hf |
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tags: |
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- generated_from_trainer |
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datasets: |
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- STEM |
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model-index: |
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- name: llama-2-13b-llm-science-exam-kaggle |
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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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# llama-2-13b-llm-science-exam-kaggle |
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co./meta-llama/Llama-2-13b-hf) on the llm-science-exam dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.5339 |
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- eval_runtime: 1031.3967 |
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- eval_samples_per_second: 0.194 |
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- eval_steps_per_second: 0.097 |
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- epoch: 0.48 |
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- step: 200 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 50 |
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- num_epochs: 1 |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.0 |
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