K2-Spike-2 / README.md
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---
license: apache-2.0
---
# LLM360 Research Suite: K2 Loss Spike 2
We encountered two major loss spikes while training K2.
* The [first loss spike](https://huggingface.co/LLM360/K2-Spike-1/) occured after X checkpoints and lasted over ~34 checkpoints. We restarted training at checkpoint X and training returned to normal.
* The second loss spike occured after restarting training to fix the first loss spike at checkpoint X and lasted from ~8 checkpoints.
We are releasing these checkpoints so others can study this interesting phenomena in large model training.
<img src="k2_spike_1.png" alt="k2 spike 1"/>
# Purpose
Loss spikes are still a relatively unknown phenomena. By making these spikes and associated training details available, we hope others use these artifacts to further the worlds knowledge on this topic.
## All Checkpoints
| Checkpoints | |
| ----------- | ----------- |
| [Checkpoint 186](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_186) | [Checkpoint 194](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_194) |
| [Checkpoint 188](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_188) | [Checkpoint 196](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_196) |
| [Checkpoint 190](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_190) | [Checkpoint 198](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_198) |
| [Checkpoint 192](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_192) | [Checkpoint 200](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_200) |
[to find all branches: git branch -a]
## Loss Spike's on the LLM360 Evaluation Suite
something here
## About the LLM360 Research Suite
The LLM360 Research Suite is a comprehensive set of large language model (LLM) artifacts from Amber, CrystalCoder, and K2 for academic and industry researchers to explore LLM training dynamics. Additional resources can be found at llm360.ai.