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---
base_model: meta-llama/Llama-2-13b-chat-hf
model-index:
- name: PhysicsLlama2-13B
results: []
datasets:
- ArtifactAI/arxiv-physics-instruct-tune-30k
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Physics LlAMA 2 13B
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.
## Model description
This is a physics chatbot.
## Intended uses & limitations
You can use this to assist in research, or to answer questions you may have about physics.
## Training and evaluation data
This model is trained on [ArtifactAI/arxiv-physics-instruct-tune-30k](https://huggingface.co/ArtifactAI/arxiv-physics-instruct-tune-30k)
## Training procedure
Source code can be found [here](https://gist.github.com/sr5434/c2371c1cbc68b265b34364276084ab43)
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3 |