---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: email_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# email_classification

This model is a fine-tuned version of [roberta-base](https://huggingface.co/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