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MyBERT_LORA
strectelite/MyBERT_LORA
MyBERT_LORA is a machine learning model from strectelite. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025
- SHA
- ecadfab8
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. -->
MyBERT_LORA
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1442
- Accuracy: 0.5224
- F1: 0.5195
- Precision: 0.5240
- Recall: 0.5224
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: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.386 | 1.0 | 2573 | 1.3495 | 0.4107 | 0.3759 | 0.3531 | 0.4107 |
| 1.1539 | 2.0 | 5146 | 1.1813 | 0.5042 | 0.5021 | 0.5112 | 0.5042 |
| 1.1036 | 3.0 | 7719 | 1.1442 | 0.5224 | 0.5195 | 0.5240 | 0.5224 |
Framework versions
- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- peft
- License
- apache-2.0
- Created
- Aug 7, 2025
- Updated
- Aug 7, 2025