---
language:
- multilingual
base_model: meta-llama/Llama-2-13b-hf
tags:
- generated_from_trainer
datasets:
- STEM
model-index:
- name: llama-2-13b-llm-science-exam-kaggle
  results: []
---

<!-- 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. -->

# llama-2-13b-llm-science-exam-kaggle

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.
It achieves the following results on the evaluation set:
- eval_loss: 1.5339
- eval_runtime: 1031.3967
- eval_samples_per_second: 0.194
- eval_steps_per_second: 0.097
- epoch: 0.48
- step: 200

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 1

### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.0