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peft-roberta-base
Wb-az/peft-roberta-base
peft-roberta-base is a machine learning model from Wb-az. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 4, 2026
- SHA
- 379d0d5d
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. -->
peft-roberta-base
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0933
- Accuracy: 0.9745
- Matthews Correlation: 0.9662
- F1: 0.9609
- Precision: 0.9550
- Recall: 0.9671
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 1.1892 | 0.1977 | 1400 | 0.2318 | 0.9216 | 0.8977 | 0.8968 | 0.8726 | 0.9270 |
| 0.6786 | 0.3954 | 2800 | 0.1395 | 0.9621 | 0.9497 | 0.9438 | 0.9332 | 0.9567 |
| 0.6029 | 0.5931 | 4200 | 0.1098 | 0.9696 | 0.9597 | 0.9558 | 0.9491 | 0.9629 |
| 0.5632 | 0.7908 | 5600 | 0.0951 | 0.9742 | 0.9658 | 0.9602 | 0.9539 | 0.9672 |
| 0.5216 | 0.9885 | 7000 | 0.0933 | 0.9745 | 0.9662 | 0.9609 | 0.9550 | 0.9671 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- mit
- Created
- Mar 2, 2026
- Updated
- Mar 4, 2026