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peft-opt-350m
Wb-az/peft-opt-350m
peft-opt-350m 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 other.
should probably proofread and complete it, then remove this comment. --
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.json3.6 MB · 53%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026
- SHA
- 4dfb1cea
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-opt-350m
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1054
- Accuracy: 0.9808
- Matthews Correlation: 0.9744
- F1: 0.9654
- Precision: 0.9620
- Recall: 0.9691
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 |
|---|---|---|---|---|---|---|---|---|
| 4.3269 | 0.1977 | 1400 | 0.5872 | 0.8729 | 0.8336 | 0.8248 | 0.8057 | 0.8566 |
| 3.3421 | 0.3954 | 2800 | 0.4799 | 0.9599 | 0.9469 | 0.9387 | 0.9298 | 0.9494 |
| 1.3997 | 0.5931 | 4200 | 0.2904 | 0.9703 | 0.9608 | 0.9487 | 0.9502 | 0.9508 |
| 1.1424 | 0.7908 | 5600 | 0.1853 | 0.9762 | 0.9684 | 0.9577 | 0.9495 | 0.9688 |
| 0.8520 | 0.9885 | 7000 | 0.1054 | 0.9808 | 0.9744 | 0.9654 | 0.9620 | 0.9691 |
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
- other
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026