---
base_model: liswei/OpenELM-1_1B-zh-cp
tags:
- llama-factory
- generated_from_trainer
model-index:
- name: OpenELM-1_1B-zh-sft
  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. -->

# OpenELM-1_1B-zh-sft

This model is a fine-tuned version of [liswei/OpenELM-1_1B-zh-cp](https://huggingface.co/liswei/OpenELM-1_1B-zh-cp) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3570

## 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: 0.0001
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4543        | 0.3527 | 500  | 1.4672          |
| 1.3683        | 0.7053 | 1000 | 1.3570          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1