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: 0.5271
- Accuracy: {'accuracy': 0.888}
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.4077 | {'accuracy': 0.873} |
| 0.4347 | 2.0 | 500 | 0.4098 | {'accuracy': 0.878} |
| 0.4347 | 3.0 | 750 | 0.5245 | {'accuracy': 0.881} |
| 0.1606 | 4.0 | 1000 | 0.5271 | {'accuracy': 0.888} |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.4.1+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for saifm11/distilbert-base-uncased-lora-text-classification
Base model
distilbert/distilbert-base-uncased