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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- sr5434/CodegebraGPT_data
base_model: upstage/SOLAR-10.7B-v1.0
model-index:
- name: outputs
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. -->
# outputs
This model is a fine-tuned version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) on the text only 100k samples subset of ```sr5434/CodegebraGPT_Data``` dataset. It stopped at 37k steps(for an unknown reason) instead of at 100k steps.
## Model description
It can chat with you about science, engineering, math, or coding.
## Intended uses & limitations
This is not finetuned with RLHF and is not intended to be used in production.
## Training and evaluation data
[CodegebraGPT 100k text dataset](https://huggingface.co/datasets/sr5434/CodegebraGPT_data/viewer/100k-text)
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.0
- Tokenizers 0.15.0
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sr5434__CodegebraGPT-10b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |62.68|
|AI2 Reasoning Challenge (25-Shot)|59.81|
|HellaSwag (10-Shot) |83.42|
|MMLU (5-Shot) |60.20|
|TruthfulQA (0-shot) |46.57|
|Winogrande (5-shot) |80.98|
|GSM8k (5-shot) |45.11|
|