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distilbert-base-uncased-TEMP
dwedding/distilbert-base-uncased-TEMP
distilbert-base-uncased-TEMP is a machine learning model from dwedding. 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
- Jan 8, 2025
- Updated
- Jan 31, 2025
- SHA
- 41a21955
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. -->
distilbert-base-uncased-TEMP
This model is a fine-tuned version of distilbert-base-uncased on an unknown 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.7624 | {'accuracy': 0.892} |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.1
- Pytorch 2.6.0+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 8, 2025
- Updated
- Jan 31, 2025