transformers pytorch roberta text-classification generated_from_trainer base_model:MinhND2301/model_spam autotrain_compatible endpoints_compatible region:us
---
base_model: MinhND2301/model_spam
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_spam2
  results: []
---

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# model_spam2

This model is a fine-tuned version of [MinhND2301/model_spam](https://huggingface.co/MinhND2301/model_spam) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2344
- Accuracy: 0.9179

## 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: 32
- eval_batch_size: 32
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 43   | 0.2526          | 0.9091   |
| No log        | 2.0   | 86   | 0.2362          | 0.9120   |
| No log        | 3.0   | 129  | 0.2344          | 0.9179   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
