---
library_name: peft
base_model: state-spaces/mamba-2.8b-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mamba_output
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/darmawankevinsanadi-binus-university/bigger_dataset_mamba/runs/Checkpointing_run)
# Mamba_output

This model is a fine-tuned version of [state-spaces/mamba-2.8b-hf](https://huggingface.co/state-spaces/mamba-2.8b-hf) on an unknown dataset.

## 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: 0.002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Framework versions

- PEFT 0.14.0
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.20.3