---
base_model: JunxiongWang/zephyr_0.50_mamba_progressive
tags:
- mamba
- alignment-handbook
- generated_from_trainer
datasets:
- JunxiongWang/sftdataset
model-index:
- name: mamba_0_5_sft
  results: []
---

Please check [here](https://github.com/jxiw/MambaInLlama/tree/main) for details.

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# mamba_0_5_sft

This model is a fine-tuned version of [JunxiongWang/zephyr_0.50_mamba_progressive](https://huggingface.co/JunxiongWang/zephyr_0.50_mamba_progressive) on the JunxiongWang/sftdataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5661

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6021        | 1.0   | 55064 | 0.5661          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1