| --- |
| 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| |
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