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---
license: apache-2.0
language:
- en
datasets:
- c4
---
# mpt-125m-c4
## Model Description
Pretrained model for MPT-125M trained on C4 dataset
## Training data
Trained on HuggingFace C4 dataset
## Training procedure
This model was trained on C4 for ~2.5B tokens. Training time was ~1 hour with 104 A100-40gb GPUs.
## Intended Use and Limitations
This model is primarily for generating texts from a prompt. The purpose is to explore pretraining models for research.
# [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_wtang06__mpt-125m-c4)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 17.2 |
| ARC (25-shot) | 22.7 |
| HellaSwag (10-shot) | 25.04 |
| MMLU (5-shot) | 23.12 |
| TruthfulQA (0-shot) | 0.0 |
| Winogrande (5-shot) | 49.57 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 0.0 |
|