metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: email_classifier_model
results: []
email_classifier_model
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: 0.0207
- Accuracy: 0.9963
- Precision: 0.9963
- Recall: 0.9963
- F1: 0.9963
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: 16
- eval_batch_size: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0186 | 1.0 | 674 | 0.0207 | 0.9963 | 0.9963 | 0.9963 | 0.9963 |
| 0.0083 | 2.0 | 1348 | 0.0232 | 0.9933 | 0.9934 | 0.9933 | 0.9933 |
| 0.0009 | 3.0 | 2022 | 0.0188 | 0.9956 | 0.9956 | 0.9955 | 0.9955 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1