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--- |
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base_model: meta-llama/Llama-2-13b-chat-hf |
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model-index: |
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- name: PhysicsLlama2-13B |
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results: [] |
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datasets: |
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- ArtifactAI/arxiv-physics-instruct-tune-30k |
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license: mit |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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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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# Physics LlAMA 2 13B |
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This model is a LoRA for [meta-llama/Llama-2-13b-chat-hf](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf) on ArtifactAI/arxiv-physics-instruct-tune-30k. |
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## Model description |
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This is a physics chatbot. |
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## Intended uses & limitations |
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You can use this to assist in research, or to answer questions you may have about physics. |
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## Training and evaluation data |
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This model is trained on [ArtifactAI/arxiv-physics-instruct-tune-30k](https://huggingface.co/ArtifactAI/arxiv-physics-instruct-tune-30k) |
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## Training procedure |
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Source code can be found [here](https://gist.github.com/sr5434/c2371c1cbc68b265b34364276084ab43) |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 100 |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
