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results_qlora
Anranhhh/results_qlora
results_qlora is a machine learning model from Anranhhh. 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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Repo size
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Repo makeup
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.json3.6 MB · 62%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 21, 2026
- Updated
- May 21, 2026
- SHA
- c2570a7a
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. -->
results_qlora
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset.
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: 0.0002
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 0.1869 | 0.9703 | 0.9686 | 0.9684 | 0.9703 |
Framework versions
- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- May 21, 2026
- Updated
- May 21, 2026