---
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: scaleup_STEM_merged_10M_MOE_sft_0428_256
  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. -->

## 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 256
- total_train_batch_size: 1024
- total_eval_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.40.0
- Pytorch 2.3.0a0+40ec155e58.nv24.03
- Datasets 2.18.0
- Tokenizers 0.19.1