metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: insuff_supported_arguments
results: []
insuff_supported_arguments
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: 0.0
- Negative: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0}
- Positive: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0}
- Accuracy: 1.0
- Macro avg: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0}
- Weighted avg: {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0}
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Negative | Positive | Accuracy | Macro avg | Weighted avg |
|---|---|---|---|---|---|---|---|---|
| 0.0004 | 1.0 | 9255 | 0.0000 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
| 0.0 | 2.0 | 18510 | 0.0000 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
| 0.0 | 3.0 | 27765 | 0.0 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0 | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2