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imdb-lora-0.01
laodaImissU/imdb-lora-0.01
imdb-lora-0.01 is a machine learning model from laodaImissU. 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
- Dec 21, 2025
- Updated
- Dec 22, 2025
- SHA
- a2537b13
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. -->
imdb-lora-0.01
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7073
- Accuracy: 0.4867
- F1: 0.4106
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: 5e-06
- train_batch_size: 80
- eval_batch_size: 80
- seed: 42
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 0.7085 | 0.4858 | 0.4038 |
| No log | 2.0 | 8 | 0.7079 | 0.4859 | 0.4066 |
| No log | 3.0 | 12 | 0.7073 | 0.4867 | 0.4106 |
| No log | 4.0 | 16 | 0.7068 | 0.4862 | 0.4133 |
| No log | 5.0 | 20 | 0.7064 | 0.4864 | 0.4163 |
| No log | 6.0 | 24 | 0.7061 | 0.4866 | 0.4183 |
| No log | 7.0 | 28 | 0.7059 | 0.4862 | 0.4190 |
| No log | 8.0 | 32 | 0.7058 | 0.4864 | 0.4196 |
| No log | 9.0 | 36 | 0.7057 | 0.4864 | 0.4200 |
| No log | 10.0 | 40 | 0.7057 | 0.4864 | 0.4201 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Dec 21, 2025
- Updated
- Dec 22, 2025