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distilbert-base-uncased-lora-text-classification
lincgr/distilbert-base-uncased-lora-text-classification
distilbert-base-uncased-lora-text-classification is a text classification model from lincgr. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- f1e80876
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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-lora-text-classification
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: {'accuracy': 0.5}
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.6933 | {'accuracy': 0.5} |
| 0.7418 | 2.0 | 500 | 0.6956 | {'accuracy': 0.5} |
| 0.7418 | 3.0 | 750 | 0.7195 | {'accuracy': 0.5} |
| 0.7061 | 4.0 | 1000 | 0.7541 | {'accuracy': 0.5} |
| 0.7061 | 5.0 | 1250 | 0.6933 | {'accuracy': 0.5} |
| 0.6982 | 6.0 | 1500 | 0.6931 | {'accuracy': 0.5} |
| 0.6982 | 7.0 | 1750 | 0.6932 | {'accuracy': 0.5} |
| 0.6943 | 8.0 | 2000 | 0.6931 | {'accuracy': 0.5} |
| 0.6943 | 9.0 | 2250 | 0.6932 | {'accuracy': 0.5} |
| 0.6932 | 10.0 | 2500 | 0.6932 | {'accuracy': 0.5} |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024