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mamba-summarization-t7a
nilnguyen/mamba-summarization-t7a
mamba-summarization-t7a is a machine learning model from nilnguyen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 27, 2025
- Updated
- Jul 27, 2025
- SHA
- be61784f
Base models
Model card
From the Hugging Face model README
<!-- 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-t7a
This model is a fine-tuned version of state-spaces/mamba-130m-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9486
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 |
|---|---|---|---|
| 2.8072 | 0.16 | 20 | 2.9490 |
| 2.7982 | 0.32 | 40 | 2.9494 |
| 2.7896 | 0.48 | 60 | 2.9487 |
| 2.7811 | 0.64 | 80 | 2.9483 |
| 2.8077 | 0.8 | 100 | 2.9485 |
| 2.8227 | 0.96 | 120 | 2.9486 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jul 27, 2025
- Updated
- Jul 27, 2025