---
library_name: peft
base_model: state-spaces/mamba-130m-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mamba-summarization-t2a
  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. -->

# mamba-summarization-t2a

This model is a fine-tuned version of [state-spaces/mamba-130m-hf](https://huggingface.co/state-spaces/mamba-130m-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9491

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7844        | 0.16  | 20   | 2.9465          |
| 2.7726        | 0.32  | 40   | 2.9481          |
| 2.7656        | 0.48  | 60   | 2.9478          |
| 2.7638        | 0.64  | 80   | 2.9496          |
| 2.7468        | 0.8   | 100  | 2.9492          |
| 2.7523        | 0.96  | 120  | 2.9491          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.19.1