---
language:
- multilingual
license: mit
base_model: HuggingFaceH4/zephyr-7b-alpha
tags:
- generated_from_trainer
datasets:
- STEM
model-index:
- name: zephyr-7b-llm-science-exam
  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. -->

# zephyr-7b-llm-science-exam

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) on the llm-science-exam dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3920

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8861        | 0.24  | 100  | 1.6360          |
| 1.6563        | 0.48  | 200  | 1.4566          |
| 1.5457        | 0.71  | 300  | 1.3980          |
| 1.4945        | 0.95  | 400  | 1.3920          |


### Framework versions

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