metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: email_classification
results: []
email_classification
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5632
- Accuracy: 0.9038
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2987 | 1.0 | 121 | 1.1291 | 0.6058 |
| 0.6602 | 2.0 | 242 | 0.8249 | 0.75 |
| 0.4545 | 3.0 | 363 | 0.4199 | 0.8942 |
| 0.2338 | 4.0 | 484 | 0.5669 | 0.9038 |
| 0.083 | 5.0 | 605 | 0.5672 | 0.9038 |
| 0.0057 | 6.0 | 726 | 0.5632 | 0.9038 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0