---
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
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# 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